[{"data":1,"prerenderedAt":401},["ShallowReactive",2],{"slug-8-practical-predictions-for-the-near-future-of-healthcare":3},{"post":4,"relatedPosts":179,"relatedBooks":306},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":29,"categories":30,"tags":32,"project_category":38,"contact_email_category":40,"yst_prominent_words":41,"class_list":56,"better_featured_image":70,"acf":107,"yoast_meta":124,"_links":126},52725,"2023-10-03T10:00:00","2023-10-03T08:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=52725&_wpnonce=5e21f8a24c&status=auto-draft&type=post","2024-04-16T09:28:31","2024-04-16T07:28:31","8-practical-predictions-for-the-near-future-of-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002F8-practical-predictions-for-the-near-future-of-healthcare",{"rendered":17},"8 Practical Predictions For The Near Future Of Healthcare",{"rendered":19,"protected":20},"\n\u003Cp>The healthcare sector is at a juncture of significant transformation, fueled by technological advancements and evolving medical knowledge. Over the past few years, we’ve pinpointed eight high-level trends that are set to reshape healthcare delivery profoundly. While we have explored these trends individually in previous posts, we’ve yet to summarize them cohesively in one comprehensive article. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"6667\" height=\"3750\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F8-prediction-infographics.png\" alt=\"8 practical predictions for the near future of healthcare\" class=\"wp-image-55507\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F8-prediction-infographics.png 6667w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F8-prediction-infographics-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F8-prediction-infographics-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F8-prediction-infographics-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F8-prediction-infographics-2048x1152.png 2048w\" sizes=\"auto, (max-width: 6667px) 100vw, 6667px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>This article aims to bridge that gap, providing a condensed overview beneficial for healthcare professionals and users alike.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">1) \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-hospital-design-inside-the-point-of-care\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Patients will become the point of care\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>In the pursuit of more streamlined and patient-centric healthcare, traditional hospital frameworks are under reassessment. The stereotypical scenes of long waiting lines, overwhelming paperwork, and sterile, uninviting corridors symbolize a dated workflow. The evolution towards modernity beckons a shift from this conventional setup, ushering in an era where patients, armed with digital health tools, become the focal point of care, reducing the dependency on traditional hospital confines.\u003C\u002Fp>\n\n\n\n\u003Cp>This transformation is in part driven by the advent and adoption of digital health technologies, notably wearables, telemedicine, and solutions like at-home lab tests, that allow us to carry out procedures at home that formerly were impossible without visiting a healthcare institution.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_331-01-768x432.png\" alt=\"AI algorithm research topic digital health\" class=\"wp-image-47103\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_331-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_331-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_331-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_331-01-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_331-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Patients can now monitor their vital signs regardless of their location, sharing this data with healthcare providers remotely. Although this doesn’t render hospitals obsolete, (we won’t have MRI machines at home), it repositions them as health centers focused on disease prevention, acute care, and specific medical procedures requiring sophisticated equipment. \u003C\u002Fp>\n\n\n\n\u003Cp>Although we started our list with this trend, this actually will be the end result of the paradigm shift we witness. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">2. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-makes-healthcare-globalised\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Healthcare becomes globalized\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>Companies such as Atlas Biomed in the UK, Dante Labs in Italy, and AliveCor in the US exemplify the erosion of geographical barriers, offering patients worldwide access to quality digital health services, albeit with some shipping restrictions. The digital health sector not only democratizes healthcare by making patients the point of care with direct-to-consumer services but also augments the doctor-patient relationship with a shared decision-making paradigm.\u003C\u002Fp>\n\n\n\n\u003Cp>It’s worth mentioning that digital health can only assist users who have the means to afford it. As many studies have proved, wearables are currently not equally available to everyone around the globe, and in most cases, these devices are out of reach for users with no or limited access to quality healthcare. In other words, digital health is typically unavailable to those who would benefit the most from it. Health equity, however, is \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhealth-equity-in-the-ai-and-digital-health-era-promise-or-peril\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">not a technological question\u003C\u002Fa>, but a profound social issue.\u003C\u002Fp>\n\n\n\n\u003Cp>The ultimate goal is to achieve affordable and universal access to healthcare, leveraging digital technologies to transcend traditional geographical and systemic barriers, making healthcare truly global. But this is a task that puts more burden on politicians and policymakers than on tech companies.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">3) \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fasynchronous-telemedicine-is-coming-and-here-is-why-its-the-future-of-remote-care\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Remote care is the new norm\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>The evolution of remote care is setting a new standard in the healthcare landscape. Asynchronous telemedicine, a facet of remote care, allows for a more efficient exchange between patients and healthcare providers without the necessity for real-time communication. This form of telemedicine comes with a host of benefits including flexible schedules for healthcare practices, efficient task stacking, accommodating younger patients’ communication preferences, addressing language barriers, and transmitting extensive health data seamlessly. While concerns about impersonal communication and potential delays in response exist, the overarching narrative is about leveraging asynchronous telemedicine to mitigate physician shortages and burnout, which are pressing issues globally.\u003C\u002Fp>\n\n\n\n\u003Cp>The COVID-19 pandemic significantly accelerated the adoption of telemedicine and at-home diagnostic kits, showcasing the convenience and accessibility digital health technologies offer. In the linked article, we also envisioned a futuristic scenario with a seamless global network of healthcare providers and the immense potential for patient-centered care. However, this global convergence necessitates updated training for physicians to adeptly handle international data and a new regulatory framework to ensure these technologies’ safe and effective use.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002FDigital-health-infographics-TMF-2022-768x432.png\" alt=\"Key Features Of Digital Health\" class=\"wp-image-47045\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002FDigital-health-infographics-TMF-2022-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002FDigital-health-infographics-TMF-2022-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002FDigital-health-infographics-TMF-2022-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002FDigital-health-infographics-TMF-2022-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002FDigital-health-infographics-TMF-2022.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The palpable \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fget-used-to-it-remote-care-is-the-new-norm\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">shift towards remote care\u003C\u002Fa> isn’t just a technological leap but also a cultural transformation, propelled significantly by the pandemic. The newfound convenience, cost-effectiveness, and time efficiency associated with telemedicine stay with us in the post-pandemic era.\u003C\u002Fp>\n\n\n\n\u003Cp>Additionally, remote care also intersects with broader goals like \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-ways-digital-health-can-help-decarbonise-patient-pathways\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">decarbonizing patient pathways\u003C\u002Fa>. The shift to digital prescriptions, promoting healthy eating, organizing resources with AI, and especially the core of remote monitoring and care, play parts in a larger narrative of fostering a more sustainable and environmentally friendly healthcare model. As remote care integrates further into the healthcare system, the anticipation is not only towards more efficient patient-doctor interactions but also towards a significant reduction in the carbon footprint associated with traditional healthcare practices. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">4) \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F3-reasons-why-patient-design-must-replace-the-patient-centricity-illusion\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Patient design will rule what hospitals look like\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>The shift from a patient-centric to a patient-designed approach in healthcare is a much-needed evolution, aiming to materially involve patients in decision-making processes. Patient centricity, while a laudable idea, often remained a tokenistic gesture, where decisions were still heavily dominated by medical professionals without genuinely incorporating the patient’s perspective. On the contrary, patient design brings patients into the core of decision-making, reflecting a co-design approach where they are seen as active participants and stakeholders. This approach recognizes that the dated hierarchy, placing medical professionals as the sole custodians of relevant knowledge, no longer holds in the face of today’s information accessibility and technology-driven empowerment.\u003C\u002Fp>\n\n\n\n\u003Cp>Patient design is manifested in various facets of healthcare, from product development to research and clinical design. Inspirational stories of individuals like \u003Ca href=\"https:\u002F\u002Flevityproducts.com\u002Fcompany\u002Four-story\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Sarah Olson\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.ted.com\u002Ftalks\u002Ftal_golesworthy_how_i_repaired_my_own_heart?language=en\" target=\"_blank\" rel=\"noreferrer noopener\">Tal Golesworthy\u003C\u002Fa> underscore the profound impact of patient-driven innovations, which arise from a dire need for practical solutions, often spurred by personal or familial suffering. Unlike traditional research teams focused on broad theories, these patient innovators are driven by a pressing need for immediate solutions. This approach leads to pragmatic, real-world applications that may not only alleviate the suffering of individuals and their loved ones but also significantly benefit others facing similar health challenges.\u003C\u002Fp>\n\n\n\n\u003Cp>Furthermore, the integration of patient design extends to \u003Ca href=\"https:\u002F\u002Fwww.esmo.org\u002Fabout-esmo\u002Fprofiles\u002Fbettina-ryll\" target=\"_blank\" rel=\"noreferrer noopener\">research priorities\u003C\u002Fa> and clinical environments. For instance, when research is reshaped to \u003Ca href=\"https:\u002F\u002Fwww.nytimes.com\u002F2022\u002F02\u002F22\u002Fus\u002Fthomas-insel-book.html\" target=\"_blank\" rel=\"noreferrer noopener\">address patients’ urgent needs\u003C\u002Fa>, it bridges the existing gap between scientific advancements and public health outcomes. \u003C\u002Fp>\n\n\n\n\u003Cp>Additionally, involving patients in clinical design, as the Netherlands’ Radboud University Medical Centre Nijmegen did, can redefine the healing environment to foster better patient-physician relationships and potentially expedite recovery. Patient design, therefore, is not merely a conceptual shift but a pragmatic approach to infusing healthcare with real-life perspectives and needs, making the field more responsive, humane, and effective.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">5) \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcan-tech-giants-take-over-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Tech giants will join the healthcare ecosystem\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>The tech giants like Google, Amazon, Apple, Microsoft, NVIDIA, and IBM are \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhere-are-our-bets-on-what-each-tech-giant-will-do-next-as-part-of-their-journey-into-the-healthcare-space\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">rigorously exploring healthcare\u003C\u002Fa> as a new frontier for innovation and business expansion. With a long-term vision, they are integrating technology to solve complex health challenges and improve healthcare delivery.\u003C\u002Fp>\n\n\n\n\u003Cp>The core of this convergence lies in the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\u002F\" target=\"_blank\">integration of Artificial Intelligence\u003C\u002Fa> (AI), machine learning, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcloud-gaming-can-bring-artificial-intelligence-to-the-doctors-office\" target=\"_blank\">cloud computing\u003C\u002Fa>, and other cutting-edge technologies. These are being employed across a myriad of applications such as diagnostic imaging, patient monitoring, and disease prediction, aiming to bolster patient care while mitigating costs.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftmf_article_256_b-01-1-768x432.png\" alt=\"\" class=\"wp-image-33787\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftmf_article_256_b-01-1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftmf_article_256_b-01-1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftmf_article_256_b-01-1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftmf_article_256_b-01-1.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>This merger of tech and healthcare is also marked by a consumer-centric approach, as witnessed through the advent of wearables and health applications. These innovations are rendering healthcare more accessible and personalised, empowering individuals to monitor and manage their health seamlessly. \u003C\u002Fp>\n\n\n\n\u003Cp>Tech companies entering the sector will lower the threshold for accessible diagnostics. While many can’t afford to spend $150-200 on a dermatologist consultation to check a new birthmark, they may spend a few dollars in an app to have it checked – and thus have a better chance to catch a malignant lesion in time. \u003C\u002Fp>\n\n\n\n\u003Cp>However, this convergence is not without its challenges. Navigating through the complex labyrinth of healthcare regulations remains a significant hurdle. The paramount concern revolves around the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-intellectual-property-journey-of-patients-digital-health-data\" target=\"_blank\" rel=\"noreferrer noopener\">privacy and security of health data\u003C\u002Fa>, necessitating stringent compliance with healthcare standards and laws. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">6) \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F8-ways-to-impress-your-doctor-in-digital-health\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">The cultural transformation changes the roles\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>The paradigm shift we witness is not just technological but also profoundly cultural, morphing traditional patient-physician relationships. The healthcare industry is moving away from a paternalistic, hierarchical model towards a more partnership-driven paradigm. In this new landscape, physicians transition from being the sole custodians of medical knowledge to guides navigating patients through a complex jungle of data, decisions, and information. This transformation underscores a democratization of healthcare knowledge, enabled by the vast swathes of information and digital tools now available at the fingertips of both medical practitioners and the populace.\u003C\u002Fp>\n\n\n\n\u003Cp>On the flip side, patients evolve from being passive stakeholders, awaiting symptoms to manifest before seeking medical intervention, to proactive, empowered individuals. The modern patient is more informed, more engaged with their health, and desires a collaborative relationship with their healthcare providers. Wearable tech, health apps, and online platforms provide real-time data and a plethora of information, allowing individuals to monitor their health metrics continually, anticipate potential issues, and seek timely advice. \u003C\u002Fp>\n\n\n\n\u003Cp>The infusion of technology acts as a significant catalyst in this cultural transformation, changing the way healthcare is perceived, accessed, and delivered.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">7) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-twin-and-the-promise-of-personalized-medicine\u002F\" target=\"_blank\">Access to data makes healthcare personalised\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cp>Personalised medicine is tailored to the individual characteristics, needs, and preferences of patients. This form of medicine leverages advancements in technology, genomics, and data analytics to offer more precise, predictable, and preventive healthcare. \u003C\u002Fp>\n\n\n\n\u003Cp>For instance, genetic testing, a cornerstone of personalized medicine, can unveil an individual’s susceptibility to certain diseases, their likely response to various treatments, and the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmydna-review\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">potential risk of adverse reactions to specific drugs\u003C\u002Fa>. This level of insight empowers clinicians to design treatment regimens that are aligned with each individual’s unique genetic makeup, significantly enhancing the efficacy and safety of medical interventions.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F09\u002Ftmf_article_293-01-768x432.png\" alt=\"\" class=\"wp-image-36397\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F09\u002Ftmf_article_293-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F09\u002Ftmf_article_293-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F09\u002Ftmf_article_293-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F09\u002Ftmf_article_293-01-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F09\u002Ftmf_article_293-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>As we venture deeper into the realm of personalized medicine, the concept of digital twins emerges. Digital twins are virtual replicas of an individual’s physiological and genetic profile. These present a platform to simulate the effects of various treatments in a risk-free, virtual environment. \u003C\u002Fp>\n\n\n\n\u003Cp>These digital replicas can allow for a meticulous analysis of treatment outcomes. For instance, in the foreseeable future, a digital twin could simulate the response of a cancer patient to different drug combinations, offering invaluable insights into the most effective and least toxic treatment strategy for that individual. This form of virtual trial-and-error can significantly accelerate the identification of optimal treatment protocols, minimizing the physical, emotional, and financial burdens traditionally associated with the trial-and-error nature of conventional medicine.\u003C\u002Fp>\n\n\n\n\u003Cp>The marriage of genetic insights with innovative technologies fundamentally transforms the healthcare landscape. By embracing the tenets of personalised medicine, healthcare providers can offer more targeted, effective, and safe medical care, where the right treatment is delivered to the right patient at the right time.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">8) New medical teams arise\u003C\u002Fh2>\n\n\n\n\u003Cp>The paradigm shift in healthcare towards a more inclusive and collaborative approach redefines the traditional medical team’s construct. Gone are the days when the medical professional was the sole custodian of a patient’s health journey. In the contemporary scenario, the medical team is a confluence of healthcare professionals, the patient, and increasingly, artificial intelligence. The rationale is simple yet profound: who could be more invested in a patient’s well-being than the patient themselves? Empowering individuals to take the reins of their health not only democratizes healthcare but also cultivates a richer, more informed dialogue.\u003C\u002Fp>\n\n\n\n\u003Cp>Initially, the notion of patients morphing into active participants in their healthcare may evoke apprehensions among both medical professionals and patients. However, the continuously expanding corpus of medical knowledge renders it virtually impossible for any physician, regardless of their dedication, to single-handedly stay abreast of every medical advancement. Contrastingly, an engaged patient or their kin can delve into the depths of specific medical domains, unearthing contemporary studies, technologies, or emerging treatment protocols relevant to their health conditions. Though not replacements for medical professionals, these informed individuals can enhance the decision-making process.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-768x432.png\" alt=\"AI medical coding doctor, hospital, clinic, man, laptop, computer\" class=\"wp-image-51069\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>As we tread further along this trajectory, artificial intelligence (AI) emerges as the newest entrant in this expanding medical team. With an innate capacity to sift through vast swaths of data, discern patterns, and provide insights, AI serves as a force multiplier in the medical domain. Algorithms, designed to assist in diagnostics, treatment planning, and monitoring are making headway, and we can rest assured that \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-it-is-important-to-understand-multimodal-large-language-models-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">various AI models will become safer and more efficient\u003C\u002Fa> in assisting medical work.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Explore the 8 transformative predictions for healthcare’s near future, driven by technology and evolving knowledge. Dive into how patient-centric care, global health networks, remote care, patient design, tech giants’ entry, cultural shifts, personalized medicine, and AI-integrated medical teams are reshaping healthcare landscapes.\u003C\u002Fp>\n",6,52743,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31],521,[33,34,35,36,37],134,144,207,246,313,[39],950,[],[42,43,44,45,46,47,48,49,50,51,52,53,54,55],2613,1571,3825,1617,4047,1631,4449,1681,1683,1715,1723,1739,1803,2139,[57,14,58,59,60,61,62,63,64,65,66,67,68,69],"post-52725","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-future-medicine","tag-ai","tag-artificial-intelligence","tag-digital-health","tag-future","tag-medicine","project_category-medical-professionals",{"id":24,"alt_text":27,"caption":27,"description":27,"media_type":71,"media_details":72,"post":5,"source_url":106},"image",{"width":73,"height":74,"file":75,"filesize":76,"sizes":77,"image_meta":103},1920,1080,"2023\u002F09\u002Ftmf_article_387.png",361476,{"medium":78,"large":85,"thumbnail":91,"medium_large":96,"1536x1536":97},{"file":79,"width":80,"height":81,"mime-type":82,"filesize":83,"source_url":84},"tmf_article_387-370x208.png",370,208,"image\u002Fpng",49220,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F09\u002Ftmf_article_387-370x208.png",{"file":86,"width":87,"height":88,"mime-type":82,"filesize":89,"source_url":90},"tmf_article_387-768x432.png",768,432,124610,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F09\u002Ftmf_article_387-768x432.png",{"file":92,"width":93,"height":93,"mime-type":82,"filesize":94,"source_url":95},"tmf_article_387-150x150.png",150,18487,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F09\u002Ftmf_article_387-150x150.png",{"file":86,"width":87,"height":88,"mime-type":82,"filesize":89,"source_url":90},{"file":98,"width":99,"height":100,"mime-type":82,"filesize":101,"source_url":102},"tmf_article_387-1536x864.png",1536,864,296430,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F09\u002Ftmf_article_387-1536x864.png",{"aperture":104,"credit":27,"camera":27,"caption":27,"created_timestamp":104,"copyright":27,"focal_length":104,"iso":104,"shutter_speed":104,"title":27,"orientation":104,"keywords":105},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F09\u002Ftmf_article_387.png",{"cta_type":108,"cta_color":27,"related_books":109,"related_posts_footer":113,"related_posts":20,"subtitle":27,"key_takeaways":117},"subscribe",[110,111,112],52203,47427,30419,[114,115,116],52643,34179,52263,[118,120,122],{"title":119},"\u003Cp>The healthcare sector is evolving towards a patient-centric model, leveraging digital technologies to shift care from traditional hospital settings to patients’ surroundings.\u003C\u002Fp>\n",{"title":121},"\u003Cp>The entry of tech giants and the integration of Artificial Intelligence (AI) are set to significantly enhance diagnostic capabilities and personalize healthcare services.\u003C\u002Fp>\n",{"title":123},"\u003Cp>A cultural transformation is underway, changing traditional patient-physician relationships into collaborative partnerships, further enriched by the emergence of AI in medical teams.\u003C\u002Fp>\n",{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":125,"yoast_wpseo_canonical":15},"Discover 8 predictions reshaping healthcare: from patient-centric care, and cultural shifts to personalized medicine, and AI teams.",{"self":127,"collection":133,"about":136,"author":139,"replies":142,"version-history":145,"predecessor-version":149,"wp:featuredmedia":153,"wp:attachment":156,"wp:term":159,"curies":175},[128],{"href":129,"targetHints":130},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52725",{"allow":131},[132],"GET",[134],{"href":135},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[137],{"href":138},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[140],{"embeddable":26,"href":141},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[143],{"embeddable":26,"href":144},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=52725",[146],{"count":147,"href":148},16,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52725\u002Frevisions",[150],{"id":151,"href":152},55637,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52725\u002Frevisions\u002F55637",[154],{"embeddable":26,"href":155},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F52743",[157],{"href":158},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=52725",[160,163,166,169,172],{"taxonomy":161,"embeddable":26,"href":162},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=52725",{"taxonomy":164,"embeddable":26,"href":165},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=52725",{"taxonomy":167,"embeddable":26,"href":168},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=52725",{"taxonomy":170,"embeddable":26,"href":171},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=52725",{"taxonomy":173,"embeddable":26,"href":174},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=52725",[176],{"name":177,"href":178,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[180],{"id":116,"date":181,"date_gmt":182,"guid":183,"modified":185,"modified_gmt":186,"slug":187,"status":13,"type":14,"link":188,"title":189,"content":191,"excerpt":193,"author":23,"featured_media":195,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":196,"categories":197,"tags":200,"project_category":207,"contact_email_category":208,"yst_prominent_words":209,"class_list":212,"better_featured_image":222,"acf":247,"yoast_meta":261,"_links":264},"2025-06-21T12:36:22","2025-06-21T10:36:22",{"rendered":184},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=52263&_wpnonce=7971828b65&status=auto-draft&type=post","2025-06-21T12:36:23","2025-06-21T10:36:23","why-it-is-important-to-understand-multimodal-large-language-models-in-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-it-is-important-to-understand-multimodal-large-language-models-in-healthcare",{"rendered":190},"The Healthcare Vision of ChatGPT-4o and Multimodal LLMs",{"rendered":192,"protected":20},"\n\u003Cp>The future of medicine is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-chatgpt-revolution-heres-our-new-book-on-generative-ai-in-healthcare\" target=\"_blank\">undoubtedly\u003C\u002Fa> inextricably linked to the development of \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fsearch\u002F?term=AI\" target=\"_blank\">artificial intelligence\u003C\u002Fa> (AI). Although this revolution has been brewing for years, the past few months marked a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\" target=\"_blank\">major change\u003C\u002Fa>, as algorithms finally moved out \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-in-healthcare-what-the-science-says\u002F\" target=\"_blank\">of the specialized labs \u003C\u002Fa>and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-ai-explained-its-impact-and-future-in-healthcare\" target=\"_blank\">into\u003C\u002Fa> our daily \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fprompt-engineering-11-tips-to-craft-great-chatgpt-prompts\" target=\"_blank\">lives\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>This revolution accelerated as major tech companies began rolling out their multimodal large language models, promising they will soon be available to the general public. The latest – and perhaps biggest – hit was the announcement of \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fhello-gpt-4o\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT-4o from OpenAI\u003C\u002Fa>. The 4o model is described as “natively multimodal,” a feature also \u003Ca href=\"https:\u002F\u002Fblog.google\u002Ftechnology\u002Fai\u002Fgoogle-gemini-ai\u002F#sundar-note\" target=\"_blank\" rel=\"noreferrer noopener\">claimed for Google’s Gemini\u003C\u002Fa> at its launch. However, while layman subscribers still lack access to Gemini’s multimodal features, 4o’s partial multimodality is available -albeit with limited use -for free accounts. \u003C\u002Fp>\n\n\n\n\u003Cp>So how did we get here and why is this important? Let’s take a look at the path we’ve traveled in the past 18 months and look into the future so we can understand the significance! \u003C\u002Fp>\n\n\n\n\u003Cp>The public debut of Large Language Models (LLMs), like ChatGPT which became \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.reuters.com\u002Ftechnology\u002Fchatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01\u002F\" target=\"_blank\">the fastest-growing\u003C\u002Fa> consumer application of all time, has been a roaring success. LLMs are machine learning models trained on a vast amount of text data which enables them to understand and generate human-like text based on the patterns and structures they’ve learned. They differ significantly from \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmachine-learning-and-deep-learning-in-medicine\u002F\" target=\"_blank\">prior deep learning methods\u003C\u002Fa> in scale, capabilities, and potential impact. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-768x432.png\" alt=\"\" class=\"wp-image-50863\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Large language models will soon find their way\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-does-gpt-4-mean-for-healthcare\" target=\"_blank\"> in to everyday clinical settings\u003C\u002Fa>, simply because the global shortage of healthcare personnel is becoming dire and AI will lend a hand with tasks that do not require skilled medical professionals. But before this can happen,\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-and-how-to-regulate-chatgpt-like-large-language-models-in-healthcare\" target=\"_blank\"> before we have\u003C\u002Fa> a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-best-practices-policy-makers-free-report\" target=\"_blank\">sufficiently robust regulatory framework\u003C\u002Fa> in place we are already seeing how this new technology is being used \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-ai-tools-that-could-help-build-a-medical-practice\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">in everyday life\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>To better understand what lies ahead, let’s explore another key concept that will play a significant role in the transformation of medicine: \u003Cstrong>multimodality\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Doctors and nurses are supercomputers, medical AI is a calculator\u003C\u002Fh2>\n\n\n\n\u003Cp>A multimodal system can process and interpret multiple types of input data, such as text, images, audio, and video, simultaneously. Current medical AIs only process one type of data, for example, text or X-ray images. \u003C\u002Fp>\n\n\n\n\u003Cp>However, medicine, by nature, is multimodal as are humans. To diagnose and treat a patient, a healthcare professional listens to the patient, reads their health files, looks at medical images and interprets laboratory results. This is far beyond what any AI is capable of today. \u003C\u002Fp>\n\n\n\n\u003Cp>The difference between the two can be likened to the difference between a runner and a pentathlete. A runner excels in one discipline, whereas a pentathlete must excel in multiple disciplines to succeed.\u003C\u002Fp>\n\n\n\n\u003Cp>Most current Large Language Models (LLMs) are the runners, they are unimodal. Humans in medicine are champions of pentathlon teams.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-768x432.png\" alt=\"\" class=\"wp-image-52139\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>At the moment most Large Language Models (LLMs) are unimodal, meaning they can only analyze texts. GPT-4 can analyze images and understands voice commands in the phone app, and so does ChatGPT-4o. These models can also generate images. The rest of the multimodal capabilities are not yet available to everyday subscribers.  Other widely used LLMs, like Google’s Gemini or Claude AI, can interpret image prompts (such as a chart), but can’t generate image responses yet. Meanwhile, Google is reportedly working on pioneering the medical large language model arena with a range of models, including the latest: \u003Ca href=\"https:\u002F\u002Fresearch.google\u002Fblog\u002Fadvancing-medical-ai-with-med-gemini\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Med-Gemini\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>All in all, from The Medical Futurist’s perspective, it’s clear that multimodal LLMs (M-LLMs) with full functionality will arrive soon, otherwise AI won’t be able to significantly contribute to the multimodal nature of medicine and care. These systems will considerably reduce the workload of – but not replace- human healthcare professionals.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The future is M-LLMs\u003C\u002Fh2>\n\n\n\n\u003Cp>The development of M-LLMs will have at least three significant consequences:\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">1. AI will handle multiple types of content, from images to audio\u003C\u002Fh3>\n\n\n\n\u003Cp>An M-LLM will be able to process and interpret various kinds of content, which is crucial for a comprehensive analysis in medicine. We could list hundreds of examples regarding the benefits of such a system but will mention only a few in the following five categories: \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Text analysis\u003C\u002Fstrong>: M-LLMs will be capable of handling a vast amount of administrative, clinical, educational and marketing tasks, from updating electronic medical records to solving case studies\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Image analysis\u003C\u002Fstrong>: another broad area in terms of potential use cases, which spans from reading handwritten notes to analysing radiology (ophthalmology, neurology, pathology, etc.) images\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Sound analysis\u003C\u002Fstrong>: M-LLMs will eventually become competent in disease monitoring such as checking heart and lung sounds for abnormalities to ensure early detection, but sounds can also provide valuable info in mental health and rehabilitation applications\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Video analysis\u003C\u002Fstrong>: an advanced algorithm will be able to guide a medical student in virtual reality surgery training regarding how to aim precisely, move, proceed, but videos could also be used to detect neurological conditions or to support patients communicating with sign language. \u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Complex document analysis\u003C\u002Fstrong>: this will include assistance in literature review and research, analysis of medical guidelines for clinical decision-making, and clinical coding among many other forms of use \u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2. It will break language barriers\u003C\u002Fh3>\n\n\n\n\u003Cdiv class=\"wp-block-group\">\u003Cdiv class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\u003Cp>These M-LLMs will easily facilitate communication between healthcare providers and patients who speak different languages, translating between various languages in real time. Just as we’ve seen how \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=c2DFg53Zhvw\" target=\"_blank\">live translation works with ChatGPT-4o\u003C\u002Fa>. It’s obvious what a potential removing language barriers holds for medical appointments.\u003Cbr>\u003Cbr>\u003Cstrong>Specialist\u003C\u002Fstrong>: “Can you please point to where it hurts?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM \u003C\u002Fstrong>(Translating for Patient): “¿Puede señalar dónde le duele?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Patient \u003C\u002Fstrong>points to lower abdomen.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM \u003C\u002Fstrong>(Translating for Specialist): “The patient is pointing to the lower abdomen.”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Specialist\u003C\u002Fstrong>: “On a scale from 1 to 10, how would you rate your pain?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM\u003C\u002Fstrong> (Translating for Patient): “En una escala del 1 al 10, ¿cómo calificaría su dolor?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Patient\u003C\u002Fstrong>: “Es un 8.”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM\u003C\u002Fstrong> (Translating for Specialist): “It is an 8.\u003C\u002Fp>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">3. Finally, the arrival of interoperability can connect and harmonise various hospital systems\u003C\u002Fh3>\n\n\n\n\u003Cp>An M-LLM could serve as a central hub that facilitates access to various unimodal AIs used in the hospital, such as radiology software, insurance handling software, Electronic Medical Records (EMR), etc. The situation today is as follows:\u003C\u002Fp>\n\n\n\n\u003Cp>One company manufactures software for the radiology department which use a certain format of AI in their daily work. Another company’s algorithm works with the hospital’s electronic medical records, and yet another third-party suplier creates AI to compile insurance reports. However, doctors typically only have access to the system strictly related to their field, for example, a radiologist has access to the radiological AI, but a cardiologist does not. And of course, these algorithms don’t communicate with each other. If the cardiology department used an algorithm that analysed heart and lung signs, gastroenterologists or psychiatrists very likely wouldn’t have access to it – even though its findings may be useful for their diagnosis as well.  \u003C\u002Fp>\n\n\n\n\u003Cp>The significant step will be when M-LLMs – eventually – become capable of understanding the language and format of all these software applications and help people communicate with them. An average doctor will then be able to easily work with the radiological AI software, the AI software managing the EMRs, and the fourth, and eighth (etc. ) AI used in the hospital.\u003C\u002Fp>\n\n\n\n\u003Cp>This potential is very important because such a breakthrough won’t come about in any other way. No single company will come up with such software because they don’t have access to the AI data developed by individual companies. The M-LLM however will be able to communicate with these systems individually and, as a central hub, will provide a tool of immense importance to doctors.\u003C\u002Fp>\n\n\n\n\u003Cp>The transition from unimodal to multimodal AI is a necessary step to fully harness the potential of AI in medicine. By developing M-LLMs that can process multiple types of content, break language barriers, and facilitate access to other AI applications, we can revolutionize the way we practice medicine. The journey from being a calculator to matching the supercomputers we call doctors is challenging, but it is a revolution happening in front of our eyes.\u003C\u002Fp>\n",{"rendered":194,"protected":20},"\u003Cp>Medical AI can’t interpret complex cases yet. The arrival of multimodal large language models like ChatGPT-4o starts the real revolution.\u003C\u002Fp>\n",52331,{"_acf_changed":20,"footnotes":27},[198,199],7079,504,[201,202,203,204,205,206],7741,7859,7863,7865,7953,7955,[],[],[210,52,211],1833,1795,[213,14,58,59,60,61,62,214,215,216,217,218,219,220,221],"post-52263","category-tmf","category-artificial-intelligence","tag-large-language-models","tag-multimodal-ai","tag-multimodal-large-language-models","tag-multimodal-llm","tag-chatgpt-4o","tag-google-gemini",{"id":195,"alt_text":27,"caption":27,"description":27,"media_type":71,"media_details":223,"post":116,"source_url":246},{"width":73,"height":74,"file":224,"filesize":225,"sizes":226,"image_meta":244},"2023\u002F08\u002Ftmf_article_384.png",392679,{"medium":227,"large":231,"thumbnail":235,"medium_large":239,"1536x1536":240},{"file":228,"width":80,"height":81,"mime-type":82,"filesize":229,"source_url":230},"tmf_article_384-370x208.png",39197,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-370x208.png",{"file":232,"width":87,"height":88,"mime-type":82,"filesize":233,"source_url":234},"tmf_article_384-768x432.png",102764,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-768x432.png",{"file":236,"width":93,"height":93,"mime-type":82,"filesize":237,"source_url":238},"tmf_article_384-150x150.png",15310,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-150x150.png",{"file":232,"width":87,"height":88,"mime-type":82,"filesize":233,"source_url":234},{"file":241,"width":99,"height":100,"mime-type":82,"filesize":242,"source_url":243},"tmf_article_384-1536x864.png",246516,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-1536x864.png",{"aperture":104,"credit":27,"camera":27,"caption":27,"created_timestamp":104,"copyright":27,"focal_length":104,"iso":104,"shutter_speed":104,"title":27,"orientation":104,"keywords":245},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384.png",{"cta_type":108,"cta_color":27,"related_books":248,"related_posts_footer":250,"related_posts":20,"subtitle":27,"key_takeaways":254},[110,111,249],31417,[251,252,253],24858,51555,12808,[255,257,259],{"title":256},"\u003Cp>The development of multimodal large language models (M-LLMs) is crucial for the future of medicine as they can process and interpret multiple types of data simultaneously, unlike current unimodal AI systems. This will enable comprehensive analysis in medicine, facilitate communication between healthcare providers and patients speaking different languages, and serve as a central hub for various unimodal AI applications in hospitals.\u003C\u002Fp>\n",{"title":258},"\u003Cp>While the public debut of Large Language Models (LLMs) like ChatGPT has been a resounding success, current AI systems lack the capability to process multiple types of data, making them inadequate for the multimodal nature of medicine. The transition to M-LLMs will be necessary to substantially reduce the workload of healthcare professionals.\u003C\u002Fp>\n",{"title":260},"\u003Cp>This journey is challenging but necessary to move medical AI from being a ‘calculator’ to matching the ‘supercomputers’ we call doctors\u003C\u002Fp>\n",{"yoast_wpseo_title":262,"yoast_wpseo_metadesc":263,"yoast_wpseo_canonical":188},"Multimodal Large Language Models In Healthcare: The Next Big Thing","Medical AI can't interpret complex cases yet. 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The advanced technologies fueling the transformation cannot improve without our data; and without it, they can’t be implemented as part of regular medical care. And COVID-19 has only made things worse.\u003C\u002Fp>\n\n\n\n\u003Cp>In this e-Book, we defined the three cornerstones of privacy of every privacy discussion going forward: the traditional, the new and the future spheres that deal with your health data, and put forward recommendations on how you can start protecting yourself.\u003C\u002Fp>\n",{"rendered":322,"protected":20},"\u003Cp>Today, everyone needs to understand that there is no digital health without sacrificing a part of our privacy. The advanced technologies fueling the transformation cannot […]\u003C\u002Fp>\n",49967,[325,43,326],1693,3633,[328,315,329,59,61,62],"post-30419","type-book",{"id":323,"alt_text":27,"caption":27,"description":27,"media_type":71,"media_details":331,"post":112,"source_url":347},{"width":332,"height":333,"file":334,"filesize":335,"sizes":336,"image_meta":345},320,414,"2020\u002F10\u002Fhack-breaches-health-data.png",89249,{"medium":337,"thumbnail":341},{"file":338,"width":332,"height":81,"mime-type":82,"filesize":339,"source_url":340},"hack-breaches-health-data-320x208.png",53801,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002Fhack-breaches-health-data-320x208.png",{"file":342,"width":93,"height":93,"mime-type":82,"filesize":343,"source_url":344},"hack-breaches-health-data-150x150.png",20987,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002Fhack-breaches-health-data-150x150.png",{"aperture":104,"credit":27,"camera":27,"caption":27,"created_timestamp":104,"copyright":27,"focal_length":104,"iso":104,"shutter_speed":104,"title":27,"orientation":104,"keywords":346},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002Fhack-breaches-health-data.png",{"buy_button_text":349,"leanpub_url":350,"preview":351},"Get it on Leanpub","https:\u002F\u002Fleanpub.com\u002Fprivacy-in-digital-health\u002F",[352,354,356,358,360,362,364,366,368],{"image":353},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-01.png",{"image":355},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-03.png",{"image":357},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-04.png",{"image":359},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-05.png",{"image":361},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-06.png",{"image":363},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-07.png",{"image":365},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-08.png",{"image":367},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-09.png",{"image":369},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F0930_PRIVACY_TMF_EBOOK-10.png",{"yoast_wpseo_title":371,"yoast_wpseo_metadesc":372,"yoast_wpseo_canonical":316},"Hackers, Breaches and the Value of Health Data: What You Need To Know - The Medical Futurist","Privacy in Digital Health: Privacy and security issues pertaining to the digital health era are complex and multifactorial. Learn more from our book",{"self":374,"collection":379,"about":382,"author":385,"replies":387,"wp:featuredmedia":390,"wp:attachment":393,"wp:term":396,"curies":399},[375],{"href":376,"targetHints":377},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F30419",{"allow":378},[132],[380],{"href":381},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[383],{"href":384},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[386],{"embeddable":26,"href":141},[388],{"embeddable":26,"href":389},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=30419",[391],{"embeddable":26,"href":392},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49967",[394],{"href":395},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=30419",[397],{"taxonomy":173,"embeddable":26,"href":398},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=30419",[400],{"name":177,"href":178,"templated":26},1789237918137]