[{"data":1,"prerenderedAt":384},["ShallowReactive",2],{"slug-the-evolution-of-clinical-documentation-from-paper-to-ai":3},{"post":4,"relatedPosts":178,"relatedBooks":304},{"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":34,"project_category":39,"contact_email_category":43,"yst_prominent_words":44,"class_list":52,"better_featured_image":69,"acf":106,"yoast_meta":123,"_links":125},52833,"2025-07-07T10:32:16","2025-07-07T08:32:16",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=52833&_wpnonce=4cac859a6f&status=auto-draft&type=post","2025-07-07T10:32:17","2025-07-07T08:32:17","the-evolution-of-clinical-documentation-from-paper-to-ai","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fthe-evolution-of-clinical-documentation-from-paper-to-ai",{"rendered":17},"The Evolution Of Clinical Documentation: From Paper To AI ",{"rendered":19,"protected":20},"\n\u003Cp>Documentation is an essential heartbeat of clinical care. Like an EKG tracing illustrating the rhythm and health of a heart, clinical documentation captures the intricate narrative of a patient’s health journey. However crucial, documenting clinical care \u003Ca href=\"https:\u002F\u002Fwww.billingparadise.com\u002Fblog\u002F23-physician-specialties-and-the-number-of-hours-spent-on-paperwork\u002F#:~:text=Physicians%20play%20a%20crucial%20role,week%20on%20paperwork%20and%20administration.\" target=\"_blank\" rel=\"noreferrer noopener\">is a cumbersome task\u003C\u002Fa>, contributing \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC6262585\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">significantly to the burnout\u003C\u002Fa> of healthcare professionals. \u003C\u002Fp>\n\n\n\n\u003Cp>As we are witnessing global shortages in the numbers of medical professionals, streamlining and\u002For automating unpopular documentation tasks seems a very logical next step. It doesn’t really require the qualification of a trained nurse or doctor, so it is a great way to free up their capacities for more meaningful tasks. \u003C\u002Fp>\n\n\n\n\u003Cp>Despite the clear goals, this task is not easy. On one hand, proper documentation ensures patient safety, seamless care transition, and serves as a foundational pillar for medical research and quality assurance. On the other hand, the administrative demands surrounding it can divert attention from the core patient care, leading to frustration and emotional exhaustion. \u003C\u002Fp>\n\n\n\n\u003Cp>The evolution of clinical documentation, thus, must be seen as an intricate issue – one that balances the responsibility of maintaining patient health records with the need for physician well-being.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"2800\" height=\"2800\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002F0928_evo_clinical_doc_tmf.png\" alt=\"\" class=\"wp-image-52837\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002F0928_evo_clinical_doc_tmf.png 2800w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002F0928_evo_clinical_doc_tmf-768x768.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002F0928_evo_clinical_doc_tmf-150x150.png 150w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002F0928_evo_clinical_doc_tmf-1536x1536.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002F0928_evo_clinical_doc_tmf-2048x2048.png 2048w\" sizes=\"auto, (max-width: 2800px) 100vw, 2800px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>This evolution, it’s important to note, isn’t linear. Progress is influenced by a myriad of external factors, such as regulatory environments, technological advances and available tools, financial assets, and the internal motivation of specific healthcare institutions. On top of the widely varying means available to different players, multiple stages of this evolution can, and often do, coexist, as one is not necessarily replacing the other. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The era of paper records\u003C\u002Fh2>\n\n\n\n\u003Cp>In the dawn of medical record-keeping, the paper was king. Hospitals, clinics, and doctors’ offices were flooded with tangible, physical records – stacks of patient files, handwritten notes, and charts that seemed to multiply by the day. Every detail, be it a minor symptom or a critical surgery note, found its home on paper.\u003C\u002Fp>\n\n\n\n\u003Cp>For patients, this era presented its unique challenges. Imagine the onus of being the custodian of one’s medical history, hand-carrying thick folders of health records from one doctor’s visit to another. Not only was it cumbersome, but it also posed the risk of losing vital information. If a patient lost their paperwork or if it was damaged, essential details of their medical history could be lost forever.\u003C\u002Fp>\n\n\n\n\u003Cp>Moreover, the paper documentation system, while personal and direct, was far from efficient. The picture of a doctor, overwhelmed and \u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Ffeed\u002Fupdate\u002Furn:li:activity:7023280739920052224\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">laid out next to a seemingly endless sea of paperwork\u003C\u002Fa> necessary just to admit a patient to their hospital, paints a vivid image of the challenges faced. The footprint of the paperwork dwarfing the healthcare professional is more than symbolic – it represents the magnitude of the administrative burden these paper trails placed on them.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"920\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002FGordon-Caldwell-768x920.png\" alt=\"Clinical documentation, paperwork, doctor burnout\" class=\"wp-image-52857\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002FGordon-Caldwell-768x920.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002FGordon-Caldwell.png 794w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">A viral picture \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fx.com\u002Fdoctorcaldwell\u002Fstatus\u002F1683022147176865793?s=20\" target=\"_blank\">from Dr. Gordon Caldwell\u003C\u002Fa>. It resonated with millions of healthcare professionals\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>There were undeniable merits to this method. The tactile nature of paper allowed for easy annotations, quick references, and a personal touch that many found comforting. However, as the volume of patients grew and the complexity of care increased, it became evident that the paper system had its limitations. The need for a more streamlined, efficient, and secure way to manage clinical documentation started to gain momentum.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The rise of administrators\u003C\u002Fh2>\n\n\n\n\u003Cp>Recognising the need for efficiency and to relieve doctors from the clutches of administrative overload, healthcare institutions started introducing a new category of personnel – the administrators.\u003C\u002Fp>\n\n\n\n\u003Cp>These administrators weren’t simply clerks: they were specialized individuals trained to handle clinical documentation with precision. With the introduction of this cadre, doctors could redirect their focus back to where it was most needed: patient care. Instead of getting bogged down by paperwork, they could, for instance, create voice recordings detailing their findings from a CT scan or any other observation. These recordings were then passed on to the administrators, who meticulously transcribed and integrated the content into the patients’ records.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"My Day: Craig, Medical Records Officer\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F7kSb9SNii_g?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The beauty of this model was its adaptability. The outputs by administrators could be transcribed onto paper, computer databases, or any other medium that was relevant to the time and technology available. Thus, even while this model marked a significant step away from the traditional paper-based system, it didn’t entirely negate it. Paper records, in many institutions, continued to coexist with the newer, more efficient methods introduced by administrators.\u003C\u002Fp>\n\n\n\n\u003Cp>The integration of administrators was a testament to the evolving nature of healthcare – one that recognized the need for expertise in various areas. While the model brought numerous benefits with it, including faster documentation processes and freeing up physicians’ time; it is also fairly costly, as it basically would require a well-trained professional working full time – and often overtime – besides each doctor and many other specialists. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The advent of electronic medical records (EMR) \u003C\u002Fh2>\n\n\n\n\u003Cp>The growing penetration of easy-to-use computers (typically PCs) led to the next major shift. The transition to the digital era dawned on us with the onset of Electronic Medical Records (EMR) in the realm of healthcare. Arguably one of the most transformative yet contentious changes in recent times, EMRs shifted the landscape of clinical documentation dramatically.\u003C\u002Fp>\n\n\n\n\u003Cp>It’s not uncommon to hear healthcare professionals jest about the “dreaded” EMR system. The image of a doctor, just after a warm “hello,” turning their focus immediately to the screen and keyboard, became all too familiar in clinics worldwide. The intimacy of consultations seemed compromised, eye contact was replaced by keystrokes and clicks.\u003C\u002Fp>\n\n\n\n\u003Cp>However, the evolution towards electronic records came with many undeniable advantages. With EMRs, patient information became centralized and instantly accessible. Doctors or healthcare professionals were no longer tethered to one location; they could access comprehensive patient histories irrespective of where they or the patients were. The menace of deciphering a colleague’s handwriting disappeared overnight, making prescriptions clearer and significantly minimizing human errors.\u003C\u002Fp>\n\n\n\n\u003Cp>Data security, often a grave concern in the paper-based era, saw substantial enhancement in one way and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-nhs-ransomware-attack-part-ii\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">brand new risks in new ways\u003C\u002Fa>. This digital shift also fostered interoperability, permitting diverse healthcare systems to communicate effortlessly, ensuring a patient’s medical data was available when needed.\u003C\u002Fp>\n\n\n\n\u003Cp>The ability to quickly analyze vast amounts of data was another feather in EMR’s cap. Healthcare institutions could discern patterns, anticipate outbreaks, and comprehend patient needs on a macro level, reinforcing evidence-driven care strategies. While the upfront costs were significant, the long-term financial horizon promised savings on paper, storage, and administrative overheads. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The arrival of voice-to-text apps\u003C\u002Fh2>\n\n\n\n\u003Cp>In the ceaseless quest to streamline clinical documentation while preserving the sanctity of patient-doctor interactions, the last few years \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fvoice-to-text-technologies-shape-the-future\u002F\" target=\"_blank\">have witnessed the emergence of voice-to-text applications\u003C\u002Fa>. A blend of technology and practicality, these applications are not just passive listeners, but active participants in the consultation room.\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\u002F01\u002Ftmf_article_348-01-768x432.png\" alt=\"medical chatbot AI algorithm person man phone TMF\" class=\"wp-image-48671\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F01\u002Ftmf_article_348-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F01\u002Ftmf_article_348-01-370x208.png 370w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Rather than doctors dividing their attention between patients and screens, these applications “listen” in on the consultation, transforming spoken words into written records in real time. Imagine the scene: A doctor, deeply engrossed in understanding a patient’s symptoms, holds a fluid conversation without the intermittent distraction of typing or scribbling. \u003C\u002Fp>\n\n\n\n\u003Cp>Beyond mere transcription, some of these apps already include elements of artificial intelligence. This allows them to not only capture information but also to structure it in a coherent manner, identifying key clinical terms.\u003C\u002Fp>\n\n\n\n\u003Cp>At the conclusion of the consultation, instead of spending additional time drafting notes, healthcare professionals can simply review the automatically generated documentation. This ensures accuracy and provides an opportunity for any necessary refinements.\u003C\u002Fp>\n\n\n\n\u003Cp>The beauty of voice-to-text applications lies in their dual advantage: they reduce administrative burdens and, more crucially, reinstate the personal touch in patient-doctor interactions, which many felt was diminishing in the digital age. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The horizon of multimodal large language models\u003C\u002Fh2>\n\n\n\n\u003Cp>As we gaze into the not-so-distant future of clinical documentation, the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-it-is-important-to-understand-multimodal-large-language-models-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">potential of Multimodal Large Language Models (M-LLMs)\u003C\u002Fa> shines brightly, promising another seismic shift. The advancing pace of technology and the intricate web of software systems that doctors are expected to navigate have led us to a crossroads. Soon, an average doctor will need to work with so many software applications that they’ll be unable to manage administration via an EMR or a voice-to-text app alone.\u003C\u002Fp>\n\n\n\n\u003Cp>Drawing inspiration from real-world success stories, like the general practice that has been \u003Ca href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fai-powered-scribe-tool-enables-more-patients-less-burnout\" target=\"_blank\" rel=\"noreferrer noopener\">working harmoniously with AI-powered scribe tools\u003C\u002Fa>, it’s clear that the amalgamation of AI and clinical practice offers great potential rewards.\u003C\u002Fp>\n\n\n\n\u003Cp>The vision for M-LLMs is profound. Rather than being just another tool, 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. Its capability to process, understand, and integrate information from varied platforms could render it indispensable.\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\u002Ftmf_article_384-768x432.png\" alt=\"\" class=\"wp-image-52331\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Moreover, as the intricacies of administration grow, it might not just be a matter of convenience but a necessity for M-LLMs to shoulder the entirety of the administrative task. The sheer complexity could reach a point where human intervention becomes not just redundant but also inefficient.\u003C\u002Fp>\n\n\n\n\u003Cp>By embracing M-LLMs, the healthcare industry could potentially reclaim the essence of medicine: the human touch, unhindered by administrative distractions. With AI handling the intricacies of documentation, healthcare professionals can return their full attention to what truly matters: the well-being of their patients.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">There is no one-size-fits-all solution\u003C\u002Fh2>\n\n\n\n\u003Cp>It’s evident that we’re witnessing an evolution that isn’t uniformly manifesting everywhere. Healthcare institutions globally showcase a spectrum of administrative approaches, from traditional paper record-keeping to the advanced realm of AI-driven solutions. Such diversity means there’s no one-size-fits-all solution; what might be a digital frontier for one institution could still be a distant future for another.\u003C\u002Fp>\n\n\n\n\u003Cp>The most important factors influencing this differential progression are: \u003C\u002Fp>\n\n\n\n\u003Cp>1. which healthcare institutions will realize the importance of decreasing the administrative burden on healthcare personnel \u003C\u002Fp>\n\n\n\n\u003Cp>2. and are willing\u002Fhave the means to channel money, energy, expertise, and effort into the safe and effective deployment of AI tools.\u003C\u002Fp>\n\n\n\n\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp>The conviction that AI is the inevitable next phase of clinical documentation’s evolution is growing stronger. \u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cp>Traditional methods, while still in use, have clear limitations. As reiterated by \u003Ca href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fmayo-clinic-test-new-generative-ai-applications-microsoft\" target=\"_blank\" rel=\"noreferrer noopener\">the collaboration between Mayo Clinic and Microsoft\u003C\u002Fa>, the future is unequivocally inclined toward AI-driven solutions. It’s not just about the grandeur of AI; it’s also about the nuanced, everyday tools that shape clinicians’ work and daily workflows. Mayo’s initiative with Microsoft, as well as its AI explorations with Google, underscore the institution’s foresight in leveraging both “big AI” and “little AI” tools for a more streamlined, patient-centric future.\u003C\u002Fp>\n\n\n\n\u003Cp>As healthcare continues to grapple with administrative challenges, the allure of AI as a solution becomes more pronounced.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Clinical documentation, vital for quality care, consumes immense amounts of time, leading to professional burnout. With AI poised as the solution, specialized models and stringent safeguards are imperative.\u003C\u002Fp>\n",6,52835,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33],7079,504,499,[35,36,37,38],7875,134,144,7873,[40,41,42],947,950,952,[],[45,46,47,48,49,50,51],1683,1709,1723,1795,1803,1833,3367,[53,14,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"post-52833","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","category-healthcare-design","tag-ai-in-clinical-documentation","tag-ai","tag-artificial-intelligence","tag-clinical-documentation","project_category-company","project_category-medical-professionals","project_category-policy-makers",{"id":24,"alt_text":27,"caption":27,"description":27,"media_type":70,"media_details":71,"post":5,"source_url":105},"image",{"width":72,"height":73,"file":74,"filesize":75,"sizes":76,"image_meta":102},1920,1080,"2023\u002F10\u002Ftmf_article_388.png",447193,{"medium":77,"large":84,"thumbnail":90,"medium_large":95,"1536x1536":96},{"file":78,"width":79,"height":80,"mime-type":81,"filesize":82,"source_url":83},"tmf_article_388-370x208.png",370,208,"image\u002Fpng",35283,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002Ftmf_article_388-370x208.png",{"file":85,"width":86,"height":87,"mime-type":81,"filesize":88,"source_url":89},"tmf_article_388-768x432.png",768,432,103087,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002Ftmf_article_388-768x432.png",{"file":91,"width":92,"height":92,"mime-type":81,"filesize":93,"source_url":94},"tmf_article_388-150x150.png",150,14507,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002Ftmf_article_388-150x150.png",{"file":85,"width":86,"height":87,"mime-type":81,"filesize":88,"source_url":89},{"file":97,"width":98,"height":99,"mime-type":81,"filesize":100,"source_url":101},"tmf_article_388-1536x864.png",1536,864,287700,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002Ftmf_article_388-1536x864.png",{"aperture":103,"credit":27,"camera":27,"caption":27,"created_timestamp":103,"copyright":27,"focal_length":103,"iso":103,"shutter_speed":103,"title":27,"orientation":103,"keywords":104},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F10\u002Ftmf_article_388.png",{"cta_type":107,"cta_color":27,"related_books":108,"related_posts_footer":112,"related_posts":20,"subtitle":27,"key_takeaways":116},"subscribe",[109,110,111],24759,52203,47427,[113,114,115],52643,52263,51747,[117,119,121],{"title":118},"\u003Cp>Robust clinical documentation is indispensable for quality care and long-term health management; however, the administrative burden it imposes contributes significantly to healthcare professional burnout and consumes an average of 15.5 hours per week — time that could be allocated to tasks that truly necessitate the expertise of a fully trained doctor or nurse.\u003C\u002Fp>\n",{"title":120},"\u003Cp>The healthcare sector has seen a shift from paper records to administrators, electronic medical records, voice-to-text applications, and looks forward to the potential of Multimodal Large Language Models (M-LLMs) which promise a comprehensive and efficient system, potentially reclaiming the human touch in medical care.\u003C\u002Fp>\n",{"title":122},"\u003Cp>While the trajectory suggests AI as the inevitable solution for clinical documentation, the deployment of such systems requires specifically trained models, extensive regulatory safeguards, and a meticulous approach before they can be seamlessly integrated or offered as a packaged product.\u003C\u002Fp>\n",{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":124,"yoast_wpseo_canonical":15},"Clinical documentation is vitally important, but a main cause of professional burnout. We need specialized AI models and stringent safeguards.",{"self":126,"collection":132,"about":135,"author":138,"replies":141,"version-history":144,"predecessor-version":148,"wp:featuredmedia":152,"wp:attachment":155,"wp:term":158,"curies":174},[127],{"href":128,"targetHints":129},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52833",{"allow":130},[131],"GET",[133],{"href":134},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[136],{"href":137},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[139],{"embeddable":26,"href":140},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[142],{"embeddable":26,"href":143},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=52833",[145],{"count":146,"href":147},27,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52833\u002Frevisions",[149],{"id":150,"href":151},58883,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52833\u002Frevisions\u002F58883",[153],{"embeddable":26,"href":154},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F52835",[156],{"href":157},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=52833",[159,162,165,168,171],{"taxonomy":160,"embeddable":26,"href":161},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=52833",{"taxonomy":163,"embeddable":26,"href":164},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=52833",{"taxonomy":166,"embeddable":26,"href":167},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=52833",{"taxonomy":169,"embeddable":26,"href":170},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=52833",{"taxonomy":172,"embeddable":26,"href":173},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=52833",[175],{"name":176,"href":177,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[179],{"id":115,"date":180,"date_gmt":181,"guid":182,"modified":184,"modified_gmt":185,"slug":186,"status":13,"type":14,"link":187,"title":188,"content":190,"excerpt":192,"author":23,"featured_media":194,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":195,"categories":196,"tags":197,"project_category":203,"contact_email_category":204,"yst_prominent_words":205,"class_list":209,"better_featured_image":216,"acf":243,"yoast_meta":259,"_links":262},"2023-07-27T10:00:00","2023-07-27T08:00:00",{"rendered":183},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=51747&_wpnonce=0b2557ca4d&status=auto-draft&type=post","2023-07-26T22:59:17","2023-07-26T20:59:17","generative-ai-explained-its-impact-and-future-in-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-ai-explained-its-impact-and-future-in-healthcare",{"rendered":189},"Generative AI Explained – Its Impact And Future In Healthcare",{"rendered":191,"protected":20},"\n\u003Cp>We have written dozens of articles about generative AI already, covering all possible angles, but just realized that we have never covered the basics, and explained what is generative AI in the first place. \u003C\u002Fp>\n\n\n\n\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp>Generative AI refers to a category of AI algorithms that look for patterns and structures in the sample data and come up with new ones. For example, it can simulate discussions and learn to find out how we, people, would be satisfied with the results. But it does it billions of times a day. So it improves at an unbelievable rate.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cp>This kind of AI can be used for a wide variety of tasks, such as creating illustrations, writing text, composing music, or generating new ideas. \u003C\u002Fp>\n\n\n\n\u003Cp>Depending on the task, generative algorithms are trained and work in different ways. There are many models and methods, but we’ll most likely regularly meet with two these days:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Generative Adversarial Networks (GANs), for image or sound generation, think of Midjourney, Blue Willow, AIVA or Loud.ly. \u003C\u002Fli>\n\n\n\n\u003Cli>And Transformers, that are behind text generators, like ChatGPT or Bard – also known as Large Language Models (or LLMs). \u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>(The Transformers-LLM relation is like the insects-beetles situation. Transformers are a type of LLM, but not all LLMs are transformers. Transformers are the most popular architecture for LLMs these days because they are very effective for natural language processing tasks, but they are not the only ones.)\u003C\u002Fp>\n\n\n\n\u003Cp>We’ve already \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-adversarial-networks-how-can-ai-learn-so-much-while-its-iq-remains-zero\" target=\"_blank\" rel=\"noreferrer noopener\">introduced how GANs work\u003C\u002Fa>, you can easily imagine it through the forger-art detective analogy. Transformers on the other hand can be best grasped as brilliant autocomplete machines: they are trained to predict what comes next based on the previously given data. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>How do they learn?\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>There are many methods to train generative AI models, and most of the now successful models use a combination of various methods.\u003C\u002Fp>\n\n\n\n\u003Cp>GANs are typically taught through unsupervised learning – which means that the AI is not learning from labelled data – there is no one showing it pictures labelled as \u003Cem>cat \u003C\u002Fem>and \u003Cem>not-cat\u003C\u002Fem>. The “supervision” in GANs comes from the adversarial process where the generator network (the forger) tries to fool the discriminator network (the art detective), and the discriminator network tries to correctly classify whether an input is real or fake. For a simpler explanation, head over to the previously linked GAN article. \u003C\u002Fp>\n\n\n\n\u003Cp>Large language models, like ChatGPT or Bard are often trained using both supervised and self-supervised learning methods. \u003C\u002Fp>\n\n\n\n\u003Cp>For instance, the GPT (Generative Pretrained Transformer) series by OpenAI is trained using a form of self-supervised learning – according to ChatGPT. The models are given a large corpus of text and learn to predict the next word in a sentence given the previous words. In this case, the “labels” are the subsequent words in the sentences themselves, so no explicit labels are needed.\u003C\u002Fp>\n\n\n\n\u003Cp>Google’s Bard on the other hand was educated through a combination of supervised and self-supervised learning, on a massive dataset of text and code, including both labeled and unlabeled data, using the PaLM 2 model.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>General-use LLMs\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>ChatGPT was the first text-generating AI algorithm that became a massive hit among everyday people, getting a hundred million users in just two months, making it the \u003Ca href=\"https:\u002F\u002Fwww.reuters.com\u002Ftechnology\u002Fchatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">fastest-growing consumer application in history\u003C\u002Fa>. Since then there are several other widely successful algorithms, like Google’s Bard and Microsoft’s Bing – the latter is also based on GPT-4 and was customised for search. \u003C\u002Fp>\n\n\n\n\u003Cp>These algorithms were not specifically trained for medical purposes and the regulations are lacking, but they \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-potential-medical-use-cases-for-chatgpt\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">can still be used\u003C\u002Fa> for a number of purposes even in medicine, such as writing emails or summarising research papers. \u003C\u002Fp>\n\n\n\n\u003Cp>Based on the\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-in-healthcare-what-the-science-says\u002F\" target=\"_blank\" rel=\"noreferrer noopener\"> first published studies\u003C\u002Fa>, three main areas of focus for ChatGPT emerged, namely 1. clinical use, 2. answering medical questions and assisting in education, and 3. scientific writing and research. \u003C\u002Fp>\n\n\n\n\u003Cp>This field is \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-does-gpt-4-mean-for-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">developing at breathtaking speed\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-alternatives-for-healthcare-and-research\" target=\"_blank\" rel=\"noreferrer noopener\">many alternatives are emerging\u003C\u002Fa>, both for medical and general use. The algorithms are becoming more and more versatile \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-best-chatgpt-plugins-how-to-add-browsing-learning-wolfram-and-more\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">gaining new capabilities\u003C\u002Fa>.  \u003C\u002Fp>\n\n\n\n\u003Cp>There are many open questions, but we already \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhats-next-for-chatgpt-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">have some answers\u003C\u002Fa> as well, such as LLMs are not becoming authors in scientific papers, and that medical alternatives will arrive soon. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Large language models specifically trained for medicine\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Given the potential price of mistakes in healthcare, using just any LLM is a no-go for many tasks. You don’t want a diagnostic aid that generates answers from thin air every now and then. Here is where specialised algorithms enter the arena.\u003C\u002Fp>\n\n\n\n\u003Cp>As of now, the most advanced contestant is Google’s Med-PaLM 2. We introduced it \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\" target=\"_blank\" rel=\"noreferrer noopener\">in a detailed post\u003C\u002Fa> earlier and discussed why getting help from a medical chatbot as the first line of contact might soon become a lower-risk option than waiting for a doctor. \u003C\u002Fp>\n\n\n\n\u003Cp>A lot has happened in the past 6 months, and Google recently announced how much their medical LLM improved. \u003C\u002Fp>\n\n\n\n\u003Cp>A new study published in Nature revealed that Med-PaLM 2 answered medically related questions with 92.6% accuracy – \u003Ca href=\"https:\u002F\u002Fwww.mobihealthnews.com\u002Fnews\u002Fgoogles-medical-llm-proves-increase-accuracy\" target=\"_blank\" rel=\"noreferrer noopener\">mobihealthnews reported\u003C\u002Fa>. Although \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41586-023-06291-2\" target=\"_blank\" rel=\"noreferrer noopener\">the detailed data shows\u003C\u002Fa> that MedPaLM still has areas in which it needs to improve, the results are nevertheless impressive. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh4.googleusercontent.com\u002Fa8SJjhHn1nhUXyQkbrjVCEukkUKRtpxvtYF1NapXmqJyDIs5fqd0QzAFtfQ0S57KpIaZzKCJh5JY9gjY5xzd7PJxJXWDryqK04Cn-LRUFGdoIc7j_R3luEIIwakpPPFjC4rKxUcWfwsTx7P8pNOZOzY\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cstrong>Generative AI in practice\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Medical LLMs are not yet widely available, Med-PaLM will be released for a select group of users soon and is also reported to already be in use by Mayo Clinics. However, many generative AI tools are available for everyone and can bring practical benefits to healthcare professionals. Let’s see a few existing use cases!\u003C\u002Fp>\n\n\n\n\u003Cp>In this article, we introduced \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-ai-tools-that-could-help-build-a-medical-practice\" target=\"_blank\" rel=\"noreferrer noopener\">5 AI tools that can help build a medical practice\u003C\u002Fa>, by now you could find another 50, from \u003Ca href=\"https:\u002F\u002Fzapier.com\u002Fblog\u002Fbest-ai-website-builder\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">website builders\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Fpenji.co\u002Fai-presentation\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">presentation designers\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Generative AI can also be used to come up with new ideas or inspirations for design processes, from suggesting brainstorming techniques to listing ideas. We also used it to \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwe-used-midjourney-to-design-digital-health-technologies\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">design digital health technologies\u003C\u002Fa> – an interesting, but not very fruitful venture. \u003C\u002Fp>\n\n\n\n\u003Cp>Digital avatars also belong to the realm of generative AI, The Medical Futurist already \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fme-and-my-digital-twin-i-have-a-brand-new-deepfake-avatar\" target=\"_blank\" rel=\"noreferrer noopener\">has a deep fake twin\u003C\u002Fa>, also \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=JCkI4y8vdGY&t=43s\" target=\"_blank\" rel=\"noreferrer noopener\">featured in this video\u003C\u002Fa>. These avatars are yet too uncanny to use in patient-facing roles – anyone would find a written note from the doctor more assuring than a message delivered by an unblinking synthetic human. \u003C\u002Fp>\n\n\n\n\u003Cp>On the other hand, such video-doctors could tirelessly deliver professional training to colleagues, instead of someone spending hundreds of hours in front of cameras for recording the same material.\u003C\u002Fp>\n\n\n\n\u003Cp>Many free AI tools are just as easy to use as an app on our phones or laptops – it just needs a little practice. We encourage every healthcare professional to play with these algorithms \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhere-is-how-you-get-friendly-with-a-i-before-it-gets-to-the-office\" target=\"_blank\">to become friends \u003C\u002Fa>before they arrive at the office. Giving a little time to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fprompt-engineering-11-tips-to-craft-great-chatgpt-prompts\u002F\" target=\"_blank\">master our prompt engineering skills\u003C\u002Fa> – how to ask questions efficiently – will deliver a massive payback in the future. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>What’s next?\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>The Medical Futurist summarized \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhats-next-for-ai-in-healthcare-in-2023\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">what we can expect from AI in healthcare\u003C\u002Fa> in the coming period. On top of the list is the birth of proper regulatory frameworks, specialty-based AI recommendations and guidelines, and seeing yet undiscovered medical areas where AI can assist us. For a thorough but gentle introduction to the AI era, I recommend our \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.thinkific.com\u002Fcourses\u002Fintroduction-to-artificial-intelligence-in-medicine-and-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">Introduction to Artificial Intelligence In Medicine And Healthcare course\u003C\u002Fa>, which was recently updated with a bonus chapter. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>These skills are slowly becoming more and more necessary. Multi-modal LLMs – algorithms that will be able to analyse not just text, but all content formats, from images to sounds to videos – will arrive\u003C\u002Fstrong>. We need to\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fno-ai-wont-kill-creativity\" target=\"_blank\"> find our creativity\u003C\u002Fa> in this new world, and without a working knowledge, both creative and cognitive professionals will be left behind.\u003C\u002Fp>\n",{"rendered":193,"protected":20},"\u003Cp>Progress happens with breathtaking speed, and generative AI is the present, not the future anymore.\u003C\u002Fp>\n",51765,{"_acf_changed":20,"footnotes":27},[32],[198,199,200,201,202],7849,7479,7671,7741,7847,[41],[],[47,50,206,207,208],1883,2313,2689,[210,14,54,55,56,57,58,60,211,212,213,214,215,67],"post-51747","tag-transformers","tag-gan","tag-ai-in-healthcare","tag-large-language-models","tag-generative-ai-in-medicine",{"id":194,"alt_text":27,"caption":27,"description":27,"media_type":70,"media_details":217,"post":115,"source_url":242},{"width":218,"height":219,"file":220,"filesize":221,"sizes":222,"image_meta":240},1980,1114,"2023\u002F07\u002Ftmf_article_380.png",691810,{"medium":223,"large":227,"thumbnail":231,"medium_large":235,"1536x1536":236},{"file":224,"width":79,"height":80,"mime-type":81,"filesize":225,"source_url":226},"tmf_article_380-370x208.png",49090,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-370x208.png",{"file":228,"width":86,"height":87,"mime-type":81,"filesize":229,"source_url":230},"tmf_article_380-768x432.png",140953,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-768x432.png",{"file":232,"width":92,"height":92,"mime-type":81,"filesize":233,"source_url":234},"tmf_article_380-150x150.png",21178,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-150x150.png",{"file":228,"width":86,"height":87,"mime-type":81,"filesize":229,"source_url":230},{"file":237,"width":98,"height":99,"mime-type":81,"filesize":238,"source_url":239},"tmf_article_380-1536x864.png",368034,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-1536x864.png",{"aperture":103,"credit":27,"camera":27,"caption":27,"created_timestamp":103,"copyright":27,"focal_length":103,"iso":103,"shutter_speed":103,"title":27,"orientation":103,"keywords":241},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380.png",{"cta_type":107,"cta_color":27,"related_books":244,"related_posts_footer":248,"related_posts":20,"subtitle":27,"key_takeaways":252},[245,246,247],24762,30419,24764,[249,250,251],33587,51061,36407,[253,255,257],{"title":254},"\u003Cp>Generative AI involves algorithms that can identify patterns and structures within data and generate new ones.\u003C\u002Fp>\n",{"title":256},"\u003Cp>It has significant potential in healthcare and is likely to become integral in future healthcare practices sooner than most of us would have thought a few months ago.\u003C\u002Fp>\n",{"title":258},"\u003Cp>Medical-specific models are on the horizon and are doing exceptionally well\u003C\u002Fp>\n",{"yoast_wpseo_title":260,"yoast_wpseo_metadesc":261,"yoast_wpseo_canonical":187},"Generative AI Explained - Its Impact And Future In Healthcare","Generative AI has arrived, the first large language models specifically trained for medicine are in sight, and are doing exceptionally well.",{"self":263,"collection":268,"about":270,"author":272,"replies":274,"version-history":277,"predecessor-version":281,"wp:featuredmedia":285,"wp:attachment":288,"wp:term":291,"curies":302},[264],{"href":265,"targetHints":266},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51747",{"allow":267},[131],[269],{"href":134},[271],{"href":137},[273],{"embeddable":26,"href":140},[275],{"embeddable":26,"href":276},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=51747",[278],{"count":279,"href":280},10,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51747\u002Frevisions",[282],{"id":283,"href":284},51795,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51747\u002Frevisions\u002F51795",[286],{"embeddable":26,"href":287},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F51765",[289],{"href":290},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=51747",[292,294,296,298,300],{"taxonomy":160,"embeddable":26,"href":293},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=51747",{"taxonomy":163,"embeddable":26,"href":295},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=51747",{"taxonomy":166,"embeddable":26,"href":297},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=51747",{"taxonomy":169,"embeddable":26,"href":299},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=51747",{"taxonomy":172,"embeddable":26,"href":301},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=51747",[303],{"name":176,"href":177,"templated":26},[305],{"id":111,"date":306,"date_gmt":307,"guid":308,"modified":310,"modified_gmt":311,"slug":312,"status":13,"type":313,"link":314,"title":315,"content":317,"excerpt":319,"author":23,"featured_media":321,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":322,"class_list":324,"better_featured_image":327,"acf":347,"yoast_meta":353,"_links":356},"2022-09-29T09:59:00","2022-09-29T07:59:00",{"rendered":309},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=47427","2023-03-12T18:17:06","2023-03-12T17:17:06","a-guide-to-the-future-of-hospitals","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fa-guide-to-the-future-of-hospitals\u002F",{"rendered":316},"A Guide To The Future Of Hospitals – The Medical Futurist",{"rendered":318,"protected":20},"\n\u003Cp>Learn how hospitals of the future will be designed, and what technologies will be used in hospitals to change the healthcare experience for all.\u003C\u002Fp>\n",{"rendered":320,"protected":20},"\u003Cp>Learn how hospitals of the future will be designed, and what technologies will be used in hospitals to change the healthcare experience for all.\u003C\u002Fp>\n",49951,[323],2605,[325,313,326,55,57,58],"post-47427","type-book",{"id":321,"alt_text":27,"caption":27,"description":27,"media_type":70,"media_details":328,"post":111,"source_url":346},{"width":329,"height":330,"file":331,"filesize":332,"sizes":333,"image_meta":345},320,414,"2022\u002F09\u002Fguide-to-the-future-of-hospitals.png",32249,{"medium":334,"thumbnail":340},{"file":335,"width":336,"height":337,"mime-type":81,"filesize":338,"source_url":339},"guide-to-the-future-of-hospitals-320x208.png","320","208","51648","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002Fguide-to-the-future-of-hospitals-320x208.png",{"file":341,"width":342,"height":342,"mime-type":81,"filesize":343,"source_url":344},"guide-to-the-future-of-hospitals-150x150.png","150","24145","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002Fguide-to-the-future-of-hospitals-150x150.png",{"aperture":103,"credit":27,"camera":27,"caption":27,"created_timestamp":103,"copyright":27,"focal_length":103,"iso":103,"shutter_speed":103,"title":27,"orientation":103},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002Fguide-to-the-future-of-hospitals.png",{"buy_button_text":348,"leanpub_url":349,"preview":350},"Get it on Leanpub","https:\u002F\u002Fleanpub.com\u002Ffuture-of-hospitals",[351],{"image":352},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002F0926_Future_of_Hospitals_Cover.png",{"yoast_wpseo_title":354,"yoast_wpseo_metadesc":355,"yoast_wpseo_canonical":314},"A Guide To The Future Of Hospitals - 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