[{"data":1,"prerenderedAt":392},["ShallowReactive",2],{"slug-from-patent-to-product-the-speed-of-the-digital-health-evolution":3},{"post":4,"relatedPosts":182,"relatedBooks":300},{"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":43,"yst_prominent_words":44,"class_list":49,"better_featured_image":66,"acf":110,"yoast_meta":127,"_links":129},55573,"2024-04-16T09:30:00","2024-04-16T07:30:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=55573&_wpnonce=a39dc7f59e&status=auto-draft&type=post","2024-04-24T10:46:43","2024-04-24T08:46:43","from-patent-to-product-the-speed-of-the-digital-health-evolution","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Ffrom-patent-to-product-the-speed-of-the-digital-health-evolution",{"rendered":17},"From Patent To Product: The Speed Of The Digital Health Evolution",{"rendered":19,"protected":20},"\n\u003Cp>We’re bombarded with mindblowing headlines of new medical miracles every day. BCI helps paralysed patients talk again! Robots in the stomach! Micro-organs on organ-on-chip technologies! But it is almost impossible to see through the hype and know if and when these will yield actual, patient-ready solutions. So let’s get into this maze and decipher how a new, revolutionary medical technology develops from an ingenious idea to a market-ready product with two real-life examples: the artificial pancreas and wireless ECG.\u003C\u002Fp>\n\n\n\n\u003Cp>In early April, the UK’s \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.england.nhs.uk\u002F2024\u002F04\u002Fnhs-rolls-out-artificial-pancreas-in-world-first-move\u002F\" target=\"_blank\">NHS rolled out an artificial pancreas\u003C\u002Fa> (APS) for Type 1 diabetes patients, as a world first. This is a still-not-final chapter in a story that started in the 1960s. What the heck takes so long when we need to save lives? Why do medical inventions take decades to hit the market? And how could we speed up the process and still stay safe? \u003C\u002Fp>\n\n\n\n\u003Cp>The triumphant headlines about digital health and AI unicorns might tempt us to believe that a brilliant idea and a dash of entrepreneurial magic are all it takes and we are set for life. But revolutionary healthcare products are rarely born overnight, the journey is marked by obligatory milestones of research and regulatory navigation.  \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">It took over two generations to help diabetes patients\u003C\u002Fh2>\n\n\n\n\u003Cp>The artificial pancreas story is decades older than me, a perfect case study for two reasons. First, it took over 60 years to bring the concept to life. Second, this starkly illustrates the chasm between patients’ urgent need for affordable solutions and the slow-moving gears (and sometimes totally different focus) of research, science, and industry.\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>1960s: The concept of an artificial pancreas began with research into continuous glucose monitoring (CGM) and insulin pump technology.\u003C\u002Fli>\n\n\n\n\u003Cli>The mid-70s: Biostator, a “glucose-controlled insulin infusion system” was patented. It could measure blood glucose levels and inject appropriate doses of insulin but could be only used in hospitals.\u003C\u002Fli>\n\n\n\n\u003Cli>1970s-1980s: Early prototypes of closed-loop systems were developed, combining glucose sensors and insulin pumps to test the feasibility of automating insulin delivery.\u003C\u002Fli>\n\n\n\n\u003Cli>1990s: The first in-patient trials of closed-loop systems.\u003C\u002Fli>\n\n\n\n\u003Cli>2013: The first hybrid closed-loop system, Medtronic’s MiniMed 530G, received FDA approval. It required manual meal announcements but automated basal insulin delivery overnight. \u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cem>2015: Tired of waiting and angry for the stellar early device prices, the Open APS movement published material on how to build your hybrid closed-loop system at home. As of today, thousands of diabetes patients use DIY devices based on the open-source knowledge collected by these patient scholars\u003C\u002Fem>.\u003C\u002Fli>\n\n\n\n\u003Cli>2020: Tandem Diabetes Care’s Control-IQ technology, an advanced hybrid closed-loop system that adjusts insulin delivery based on CGM data, received FDA approval. It offered features like automatic correction boluses.\u003C\u002Fli>\n\n\n\n\u003Cli>2024: UK’s NHS announces that it starts rolling out APS for diabetes patients, the process is expected to require another 5 years.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>No wonder diabetes patients have been eagerly awaiting breakthrough solutions: nocturnal hypoglycemia can be life-threatening. Not to mention the many long-term complications of diabetes, which are also not a walk in the park and can severely impact quality of life. But they had to wait two generations to finally get close to a widely available, affordable device. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"405\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Fglucose-monitoring-tmf.png\" alt=\"diabetes blood sugar wearable sensor\" class=\"wp-image-48147\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Fglucose-monitoring-tmf.png 720w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Fglucose-monitoring-tmf-370x208.png 370w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Based on the NHS prediction of needing another 5 years or so till APS becomes the norm – and this is just the UK, many countries lag way behind – 15 years needed to pass after the #Wearenotwaiting patients created functioning DIY artificial pancreas. Over 30 years from the first clinical trials of closed-loop systems. The artificial pancreas technology required over 60 years, two full generations of humans to develop from concept to a hopefully soon-widespread product, of which 50 years have passed since the first patents were registered.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Smartphone-connected ECG: From Patent to Product\u003C\u002Fh2>\n\n\n\n\u003Cp>Compared to the APS story, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fkardia.com\u002F\" target=\"_blank\">Kardia\u003C\u002Fa> wireless ECG devices from  AliveCor were developed in the blink of an eye. This is a good case study for another reason: it shows that it is possible to stick to the principles of evidence-based medicine and create a revolutionary product.\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=\"The Evolution of Kardia ECG Devices - The Medical Futurist #shorts\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FWn5nG7EmTJw?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>Developers of this technology understood that they needed to overcome the initial reluctance from medical professionals to use it. And this won’t be possible without meeting the standards and requirements of medical technologies.\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>The company first made an FDA-cleared smartphone case that worked as a single lead ECG in 2012. They launched two clinical trials to test the hardware and the app comparing it to a traditional 12-lead device. \u003C\u002Fli>\n\n\n\n\u003Cli>Later, the evolution of its design resulted in a credit-card-sized device and an even smaller version in 2019. The original device could provide a one-channel ECG by playing the user’s fingertips on the sensor for 30 seconds. The results were uploaded to the cloud to make it accessible for physicians. \u003C\u002Fli>\n\n\n\n\u003Cli>In 2015, Alivecor received FDA clearance to use an algorithm for the analysis of the readings to determine issues related to heart rhythm without human help.\u003C\u002Fli>\n\n\n\n\u003Cli>By the end of 2017, they already used deep learning networks, and the FDA cleared the company’s ECG reader called KardiaBand as a medical device accessory to the Apple Watch. A study concluded that the device managed to distinguish between atrial fibrillation and a normal heart rhythm with a sensitivity of 93, and a specificity of 94%, respectively. Its sensitivity increased to 99% when a medical professional reviewed the reading.\u003C\u002Fli>\n\n\n\n\u003Cli>The six-lead KardiaMobile 6L was launched in 2019 and credit-card-sized , single-lead KardiaMobile Card was launched in 2022.\u003C\u002Fli>\n\n\n\n\u003Cli>By 2020, products of Alivecor have been tested in over 40 clinical studies. Despite these accomplishments, the use of the device is still not common practice. And as other companies producing AI-based medical technologies are lagging, it might depict a long period of adoption.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">We can speed up innovation and stay safe \u003C\u002Fh2>\n\n\n\n\u003Cp>Medicine and the regulation of new medical technologies have their rules for a reason. We, at The Medical Futurist, are huge fans of staying evidence-based and backing new methods and devices with double-blind trials and peer-reviewed studies. Info on ongoing clinical trials should \u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fbertalanmesko_neuralinks-first-human-patient-able-to-control-activity-7165993397516763137-5Mkx\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">not be published on social media\u003C\u002Fa>, even if you are a billionaire. \u003C\u002Fp>\n\n\n\n\u003Cp>However, there are lessons to be learned from past stories, and these could help us create frameworks that could shorten the time needed for life-changing medical technologies to reach patients. \u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Regulators can\u002Fmust think ahead\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Cp>Groundbreaking medical innovations never surface as complete surprises: there are patents (usually dozens of patents), proof-of-concept trials marking the way. By analysing patent submissions, regulators can understand what directions science and technology are taking, and think ahead of what these mean from the regulatory point of view. \u003C\u002Fp>\n\n\n\n\u003Cp>An example is how \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftmfinstitute.org\u002F\" target=\"_blank\">The Medical Futurist Institute\u003C\u002Fa> published a systematic analysis \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fai.jmir.org\u002F2023\u002F1\u002Fe47283\" target=\"_blank\">forecasting AI trends in healthcare\u003C\u002Fa> based on patent submissions. By looking at medical and healthcare-related AI and ML patent trends, regulators and policymakers could better determine medical specialties, technological trends, or areas such as imaging to dedicate more attention to. Thus, when a range of AI- and ML-based technologies become available in those fields, proper regulations will ensure a safe and efficient implementation into the practice of medicine and the delivery of health care.\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\" start=\"2\">\n\u003Cli>\u003Cstrong>Well-designed national frameworks do wonders\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Cp>Germany’s \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdiga-how-germany-channeled-digital-health-apps-into-its-healthcare-system\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">digital health application (DiGA) system\u003C\u002Fa> is a good example of helping innovation meet safety. They created a fast-track model that significantly reduces the time to market, without compromising patient safety. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"764\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FDIGA-Germany-768x764.jpg\" alt=\"\" class=\"wp-image-47441\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FDIGA-Germany-768x764.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FDIGA-Germany-150x150.jpg 150w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FDIGA-Germany.jpg 987w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Traditionally, only larger MedTech or pharma companies have the resources to pursue years of clinical trials and navigate the bureaucracy behind the certification processes. And these large-size corporates are not known for fast innovation. The DiGA system was designed to help smaller enterprises succeed, not only by simplifying the administrative route to market but also by statutory health insurers reimbursing the associated DiGA costs, with prices negotiated in advance with the umbrella association of German health insurance companies.\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\" start=\"3\">\n\u003Cli>\u003Cstrong>Patient design, patient design, patient design\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Cp>We can’t repeat it often enough: \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F3-reasons-why-patient-design-must-replace-the-patient-centricity-illusion\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">patients know best what patients need\u003C\u002Fa>. We can bet that the artificial pancreas would not have needed 60+ years if the R&D process included actual patients on the decision-making levels. We need to remember that medicine and medical research should primarily serve patients. Researchers need to change priorities to match patients’ urgent needs. \u003C\u002Fp>\n\n\n\n\u003Cp>This was painfully accurately said when a father of a son with suicide ideation \u003Ca href=\"https:\u002F\u002Fwww.nytimes.com\u002F2022\u002F02\u002F22\u002Fus\u002Fthomas-insel-book.html\" target=\"_blank\" rel=\"noreferrer noopener\">told Dr Thomas Insel after a speech\u003C\u002Fa>, “Our house is on fire, and you’re telling us what you learned about the chemistry of the paint.” The scientific literature may contain volumes about “the paint,” but Insel realized “this gap between our scientific progress and our public health failure.” He left academia to pursue product development to solve real-world problems.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Years, sometimes decades, can elapse from a brilliant idea to widespread clinical adoption. Let’s dissect two, real-life examples!\u003C\u002Fp>\n",6,55697,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31],7079,[33,34,35,36,37],144,207,289,7831,313,[39,40,41,42],948,950,952,953,[],[45,46,47,48],1619,1621,1631,1723,[50,14,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65],"post-55573","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","tag-artificial-intelligence","tag-digital-health","tag-innovation","tag-patent-analysis","tag-medicine","project_category-developers","project_category-medical-professionals","project_category-policy-makers","project_category-researchers",{"id":24,"alt_text":67,"caption":27,"description":67,"media_type":68,"media_details":69,"post":5,"source_url":109},"patent, digital health, product, wearable","image",{"width":70,"height":71,"file":72,"filesize":73,"sizes":74,"image_meta":106},3200,1800,"2024\u002F04\u002Ftmf_article_409_b.png",431285,{"medium":75,"large":82,"thumbnail":88,"medium_large":93,"1536x1536":94,"2048x2048":100},{"file":76,"width":77,"height":78,"mime-type":79,"filesize":80,"source_url":81},"tmf_article_409_b-370x208.png",370,208,"image\u002Fpng",33198,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002Ftmf_article_409_b-370x208.png",{"file":83,"width":84,"height":85,"mime-type":79,"filesize":86,"source_url":87},"tmf_article_409_b-768x432.png",768,432,81670,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002Ftmf_article_409_b-768x432.png",{"file":89,"width":90,"height":90,"mime-type":79,"filesize":91,"source_url":92},"tmf_article_409_b-150x150.png",150,13386,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002Ftmf_article_409_b-150x150.png",{"file":83,"width":84,"height":85,"mime-type":79,"filesize":86,"source_url":87},{"file":95,"width":96,"height":97,"mime-type":79,"filesize":98,"source_url":99},"tmf_article_409_b-1536x864.png",1536,864,190872,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002Ftmf_article_409_b-1536x864.png",{"file":101,"width":102,"height":103,"mime-type":79,"filesize":104,"source_url":105},"tmf_article_409_b-2048x1152.png",2048,1152,272039,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002Ftmf_article_409_b-2048x1152.png",{"aperture":107,"credit":27,"camera":27,"caption":27,"created_timestamp":107,"copyright":27,"focal_length":107,"iso":107,"shutter_speed":107,"title":27,"orientation":107,"keywords":108},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002Ftmf_article_409_b.png",{"cta_type":111,"cta_color":27,"related_books":112,"related_posts_footer":116,"related_posts":20,"subtitle":27,"key_takeaways":120},"subscribe",[113,114,115],52203,24761,31417,[117,118,119],55459,55367,55303,[121,123,125],{"title":122},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">Years, sometimes decades, can elapse from a brilliant idea to widespread clinical adoption. Patient needs often seem to get totally lost in the slow-grinding mills of research and product development. \u003C\u002Fspan>\u003C\u002Fp>\n",{"title":124},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">It is almost impossible to see clearly if and when the hyped breakthroughs from the media headlines turn into patient-ready products, so let’s dissect two, real-life examples\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":126},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">The necessity and complexity of regulatory approval play a substantial role in timelines, but with the right approach we could speed up the process to better react to patient needs\u003C\u002Fspan>\u003C\u002Fp>\n",{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":128,"yoast_wpseo_canonical":15},"Years, even decades, can elapse from a brilliant idea to widespread clinical adoption. Let’s dissect two real-life examples, and how to improve the timeline",{"self":130,"collection":136,"about":139,"author":142,"replies":145,"version-history":148,"predecessor-version":152,"wp:featuredmedia":156,"wp:attachment":159,"wp:term":162,"curies":178},[131],{"href":132,"targetHints":133},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55573",{"allow":134},[135],"GET",[137],{"href":138},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[140],{"href":141},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[143],{"embeddable":26,"href":144},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[146],{"embeddable":26,"href":147},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=55573",[149],{"count":150,"href":151},19,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55573\u002Frevisions",[153],{"id":154,"href":155},55743,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55573\u002Frevisions\u002F55743",[157],{"embeddable":26,"href":158},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F55697",[160],{"href":161},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=55573",[163,166,169,172,175],{"taxonomy":164,"embeddable":26,"href":165},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=55573",{"taxonomy":167,"embeddable":26,"href":168},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=55573",{"taxonomy":170,"embeddable":26,"href":171},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=55573",{"taxonomy":173,"embeddable":26,"href":174},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=55573",{"taxonomy":176,"embeddable":26,"href":177},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=55573",[179],{"name":180,"href":181,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[183],{"id":119,"date":184,"date_gmt":185,"guid":186,"modified":188,"modified_gmt":189,"slug":190,"status":13,"type":14,"link":191,"title":192,"content":194,"excerpt":196,"author":23,"featured_media":198,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":199,"categories":200,"tags":202,"project_category":204,"contact_email_category":205,"yst_prominent_words":206,"class_list":212,"better_featured_image":216,"acf":248,"yoast_meta":256,"_links":258},"2026-04-30T10:22:12","2026-04-30T08:22:12",{"rendered":187},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=55303&_wpnonce=f90f347a6c&status=auto-draft&type=post","2026-04-30T10:22:13","2026-04-30T08:22:13","10-things-you-can-definitely-expect-from-the-future-of-healthcare-ai","https:\u002F\u002Fmedicalfuturist.com\u002F10-things-you-can-definitely-expect-from-the-future-of-healthcare-ai",{"rendered":193},"10 Things You Can Definitely Expect From The Future Of Healthcare AI",{"rendered":195,"protected":20},"\n\u003Cp>The steady cadence of a heart monitor. The anxious wait for test results. These define a patient’s experience, but for healthcare professionals, they are also points of friction. Missed information, redundant diagnostics, or the struggle to make time for true connection… these burdens hinder the most skilled and compassionate providers. \u003C\u002Fp>\n\n\n\n\u003Cp>Artificial intelligence promises material changes on both sides of the stethoscope. By streamlining processes, pinpointing insights, and augmenting decision-making, AI won’t just change how care is delivered – it will reshape the very experience of both giving and receiving that care.\u003C\u002Fp>\n\n\n\n\u003Cp>We have written so much about various details of this revolution in the past period, so it was time to come up with a high-level overview of what we can certainly expect from AI in medicine. We have 10 predictions, coming from four distinct facets of the healthcare spectrum. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The ultimate interface to AI\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>1) The future of large language models (LLMs) is multimodal\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Healthcare isn’t one-dimensional. Physicians synthesize information from conversations, scans, lab results, and a patient’s gestures to reach a diagnosis. Until now, AI has largely worked in silos – analysing text, interpreting images, and so on. To use a simple analogy: current LLMs are like individual tools in a toolbox— a hammer is great for nails, a saw for wood, etc. But a good builder needs to use them in combination. \u003C\u002Fp>\n\n\n\n\u003Cp>Medicine demands this multifaceted approach. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.jmir.org\u002F2023\u002F1\u002Fe52865\" target=\"_blank\">Multimodal AI\u003C\u002Fa> is about giving the algorithm a whole toolbox, not just a single tool. The true revolution will come when AI models can mimic the clinician’s multi-pronged approach. We already see \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-it-is-important-to-understand-multimodal-large-language-models-in-healthcare\u002F\" target=\"_blank\">the early stages of this with multimodal LLMs\u003C\u002Fa>, and their impact will only deepen. Imagine an AI partner as multifaceted as the challenges it aims to solve.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>2) Data annotators will be celebrated\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Multimodal AI might usher in futuristic visions, but its foundation is decidedly unglamorous: meticulously labeled data. Think of every X-ray painstakingly annotated with diagnoses, medical conversations transcribed, and the subtle nuances of lab report values precisely defined. This work \u003Ca href=\"http:\u002F\u002Fjmai.amegroups.com\u002Farticle\u002Fview\u002F5208\">is the lifeblood of accurate AI\u003C\u002Fa>, yet it often goes unnoticed and under-appreciated.\u003C\u002Fp>\n\n\n\n\u003Cp>The path to reliably working medical AI is built with a hidden, but crucial workforce: \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdata-annotation\u002F\">data annotators\u003C\u002Fa>. Their meticulous labeling of medical images, conversations, and test results is the unseen foundation upon which accurate AI models are built. In the rush towards futuristic visions, it’s easy to overlook these essential contributors. It’s time to recognize data annotators as vital players in the AI healthcare revolution, ensuring their work is valued and compensated. We must also create systems for recognition and career paths within the field, for without their expertise, even the most sophisticated algorithms will crumble.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">AI’s impact\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>3) AI will not replace physicians or make specialties vanish\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Despite the breathless headlines, the fear that AI will replace doctors \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-reasons-artificial-intelligence-wont-replace-physicians\u002F#\" target=\"_blank\">is very likely unfounded\u003C\u002Fa>. While AI will undoubtedly change how physicians work, it won’t eliminate the need for their expertise, judgement, and human connection. \u003C\u002Fp>\n\n\n\n\u003Cp>Instead of displacement, the future of healthcare lies in intelligent partnerships between humans and algorithms. AI will become a powerful tool, augmenting physicians’ abilities and ultimately improving patient outcomes. Let’s explore why this is a near certainty… While AI excels at pattern recognition and data analysis, it lacks the empathy essential for patient-centered care. Physicians, in contrast, use a non-linear approach, integrating intuition, experience, and a deep understanding of their patients’ unique needs. \u003C\u002Fp>\n\n\n\n\u003Cp>Additionally, complex AI tools will always demand skilled practitioners to interpret their output and ensure responsible application. And as history consistently demonstrates, technological advancement creates new roles and opportunities rather than simply replacing existing ones.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>4) AI will primarily take over repetitive and data-based tasks\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>AI’s most immediate impact in healthcare won’t be stealing doctors’ jobs, but rather stealing away the drudgery. The \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftowards-creativity-in-healthcare-the-impact-of-digital-technologies-on-medical-specialties-in-an-infographic\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">repetitive, data-driven tasks\u003C\u002Fa> that weigh down physicians – from analyzing scans to sifting through medical records – are prime targets for AI automation. This won’t just save time; it will transform the very nature of medical practice as the human role shifts away from the mundane and toward tasks demanding creativity, connection, and complex problem-solving.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002FWtqLQZa8A1f-XJago-MBOKcntxEY3FpdzEp0yAZqkhsIF0H8Ier3BlHx-1ePqZHVHuYka-cqAZpBYqSwKTwLVpii1EWGE4cei5rAGMaThAQU6FLYYrm3wWeNR_XpKX3tgj7sP4cpZw9o7y8FDIda8-Q\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>As research consistently shows, the best outcomes arise from intelligent human-machine collaboration. By taking on the analytical heavy lifting, AI will free physicians to focus on the art of medicine. This means more time for patient interaction, greater space for nuanced diagnoses, and the exploration of novel treatment strategies. While the fear of AI replacement is understandable, the reality is that doctors who embrace AI as a powerful tool stand to elevate both their profession and the care they provide.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>5) AI will find unusual biomedical associations and biomarkers\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>AI is poised to become an invaluable tool for uncovering hidden patterns and connections in the vast landscape of medical data. Like a detective with superhuman perception, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-curious-case-of-a-i-discovering-unusual-associations-in-medicine\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">AI can spot subtle anomalies or correlations\u003C\u002Fa> that elude even the most experienced human physicians. Race prediction from X-rays, or diabetes detection through voice analysis – these are just early examples of AI identifying biomarkers no human anticipated.\u003C\u002Fp>\n\n\n\n\u003Cp>While such discoveries raise valid concerns about bias and explainability, they also signal a revolutionary shift in medical research. Imagine AI uncovering previously unseen risk factors for devastating diseases or pinpointing the subtle markers that predict which patients will best respond to specific therapies. These unusual associations aren’t just AI curiosities; they challenge us to decipher the algorithm’s logic and unlock new frontiers of medical understanding. Medical detective work will have a new aim: to understand how AI finds what it finds, ensuring these groundbreaking insights are used ethically and for the betterment of patient care.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Skills you will need\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>6) You will need a common language with AI to understand its progress – and it’s not coding\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Contrary to popular belief, the language of AI isn’t Python or Java. The true common tongue is anticipation. Understanding how AI algorithms approach problems, anticipate consequences, and learn from their mistakes is essential for doctors seeking to effectively collaborate with these systems.\u003C\u002Fp>\n\n\n\n\u003Cp>Luckily, this doesn’t require coding classes. Activities like chess, go, or even strategy-based video games (like StarCraft) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-i-learnt-about-a-i-by-playing-1000-hours-of-chess-in-a-year\u002F\" target=\"_blank\">cultivate the same anticipatory mindset\u003C\u002Fa>. They immerse you in worlds where you must analyse complex scenarios, predict multiple moves ahead, and iteratively adapt based on an opponent’s (or an algorithm’s) actions. Physicians who approach AI with this gamer-like problem-solving mentality will be well-positioned to unlock its potential and guide its development in healthcare.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>7) Prompt engineering is the number one tech skill for medical professionals in the generative AI era\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>If anticipation is the language of AI, then let’s see how you can improve your pronunciation – or to put it technically: learn prompt engineering. \u003C\u002Fp>\n\n\n\n\u003Cp>The AI revolution isn’t just about technology – it’s also about \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.jmir.org\u002F2023\u002F1\u002Fe50638\" target=\"_blank\">how we interact with it\u003C\u002Fa>. In the era of generative AI, those who\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fprompt-engineering-11-tips-to-craft-great-chatgpt-prompts\u002F\" target=\"_blank\"> master the art of communication with these algorithms\u003C\u002Fa> will have a distinct advantage. Prompt engineering, the skill of crafting effective prompts that guide AI models, will become an essential tool for physicians seeking to harness AI’s potential in patient care.\u003C\u002Fp>\n\n\n\n\u003Cp>Think of it like this: physicians already ‘prompt’ patients to gain the information needed for diagnosis. With AI, the skill evolves. Mastering prompt engineering will allow doctors to pinpoint the most accurate information, request tailored analyses, and ensure the AI’s output aligns precisely with their patient’s needs. Those who embrace this skillset will not only improve their efficiency but will also unlock the true promise of the human-AI partnership.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Challenges\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>8) We need proper guidelines about health equity and fighting bias\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Bias and lack of equity are among the most urgent challenges as AI transforms healthcare. The good news: \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F4-approaches-to-eliminate-bias-in-healthcare-a-i\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">we’re already seeing efforts\u003C\u002Fa>, from technical toolkits to research frameworks, to tackle these issues head-on. However, translating these solutions into widespread practice requires a foundation of clear, actionable guidelines. Expect a surge in standards focused on data fairness, algorithmic transparency, and the ongoing monitoring of AI systems in real-world settings.\u003C\u002Fp>\n\n\n\n\u003Cp>These guidelines won’t just protect patients; they’ll be essential for building trust and broad acceptance of AI in medicine. Doctors seeking to uphold the principle of ‘do no harm’ in the AI era will need fluency \u003Ca href=\"https:\u002F\u002Fblog.research.google\u002F2024\u002F03\u002Fheal-framework-for-health-equity.html\" target=\"_blank\" rel=\"noreferrer noopener\">in these equity standards\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>9) Adaptive AI and generative AI will get new regulatory categories\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Generative and adaptive AI pose a thrilling, yet unprecedented \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-current-state-of-fda-approved-ai-based-medical-devices\u002F\" target=\"_blank\">challenge for regulatory bodies\u003C\u002Fa>. Unlike static medical devices or software, these algorithms evolve and continuously learn. This is a brand new challenge: the likes of the FDA never before had to figure out a suitable framework for something that might be different by tomorrow. \u003C\u002Fp>\n\n\n\n\u003Cp>This requires a regulatory approach that balances innovation with patient safety. We expect the emergence of entirely new categories and flexible frameworks specifically designed to govern these dynamic AI systems.\u003C\u002Fp>\n\n\n\n\u003Cp>Healthcare professionals will need to become active participants in shaping these new regulatory standards. Understanding the unique challenges of generative and adaptive AI, as well as engaging in the ethical considerations surrounding their use, will be vital. Only by working in partnership with regulators can healthcare providers ensure a future where AI innovation flourishes while patient well-being remains the guiding principle.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>10) Medicine and healthcare will struggle to adapt and filter deepfakes\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>As deepfake technology becomes more sophisticated, medicine faces a unique vulnerability. Patients could \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-to-spot-if-your-remote-care-physician-is-an-a-i\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">encounter deepfake doctors\u003C\u002Fa>, convincingly mimicking their trusted healthcare providers. Fabricated patient records or misleading research data have the potential to disrupt care and erode trust. Healthcare institutions will struggle to adapt, requiring both healthcare personnel and patients to be educated on the potential threats of deepfakes. Developing robust methods for identifying and combating deepfakes will become a critical priority.\u003C\u002Fp>\n\n\n\n\u003Cp>This is where medical professionals need to be vigilant. We must question the authenticity of information, especially AI-generated content, to foster a culture of skepticism within the field. The trust patients place in healthcare hinges on our ability to discern fact from fiction in an era where the lines are increasingly blurred. Will you have secret passwords with your patients? While it’s too early to predict specific solutions, staying ahead of the deepfake curve is essential to protect both our patients and the integrity of medical knowledge.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The AI healthcare revolution won’t unfold in isolation\u003C\u002Fh2>\n\n\n\n\u003Cp>The future of AI in healthcare is undeniably complex, but it brims with transformative potential. From unlocking hidden biomarkers to streamlining administrative burdens, AI will improve patient care and redefine the role of physicians. However, this revolution won’t unfold on its own. It requires collaboration between physicians, technologists, regulators, and patients. Healthcare professionals need to embrace this change and use their ethical compass to shape the future of medicine for the better.\u003C\u002Fp>\n\n\n\n\u003Cp>While AI promises to augment our abilities, it’s essential to remember that healthcare remains a fundamentally human endeavor. The most sophisticated algorithm can never replace empathy, intuition, or the healing power of the patient-doctor bond. Technology can serve as a powerful tool, empowering us to provide better, more compassionate care for all.\u003C\u002Fp>\n",{"rendered":197,"protected":20},"\u003Cp>Artificial Intelligence promises material changes on both sides of the stethoscope, but this revolution won’t unfold on its own.\u003C\u002Fp>\n",55315,{"_acf_changed":20,"footnotes":27},[31,201],504,[203,33,34],134,[40],[],[47,207,208,48,209,210,211],1683,1709,1833,2015,2613,[213,14,51,52,53,54,55,56,214,215,57,58,63],"post-55303","category-artificial-intelligence","tag-ai",{"id":198,"alt_text":217,"caption":27,"description":217,"media_type":68,"media_details":218,"post":119,"source_url":247},"AI, doctor, screen, diagnosis",{"width":219,"height":220,"file":221,"filesize":222,"sizes":223,"image_meta":245},6667,3750,"2024\u002F03\u002Ftmf_article_406.png",1871732,{"medium":224,"large":228,"thumbnail":232,"medium_large":236,"1536x1536":237,"2048x2048":241},{"file":225,"width":77,"height":78,"mime-type":79,"filesize":226,"source_url":227},"tmf_article_406-370x208.png",55245,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F03\u002Ftmf_article_406-370x208.png",{"file":229,"width":84,"height":85,"mime-type":79,"filesize":230,"source_url":231},"tmf_article_406-768x432.png",147338,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F03\u002Ftmf_article_406-768x432.png",{"file":233,"width":90,"height":90,"mime-type":79,"filesize":234,"source_url":235},"tmf_article_406-150x150.png",22077,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F03\u002Ftmf_article_406-150x150.png",{"file":229,"width":84,"height":85,"mime-type":79,"filesize":230,"source_url":231},{"file":238,"width":96,"height":97,"mime-type":79,"filesize":239,"source_url":240},"tmf_article_406-1536x864.png",385687,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F03\u002Ftmf_article_406-1536x864.png",{"file":242,"width":102,"height":103,"mime-type":79,"filesize":243,"source_url":244},"tmf_article_406-2048x1152.png",582120,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F03\u002Ftmf_article_406-2048x1152.png",{"aperture":107,"credit":27,"camera":27,"caption":27,"created_timestamp":107,"copyright":27,"focal_length":107,"iso":107,"shutter_speed":107,"title":27,"orientation":107,"keywords":246},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F03\u002Ftmf_article_406.png",{"cta_type":111,"cta_color":27,"related_books":20,"related_posts_footer":20,"related_posts":20,"subtitle":27,"key_takeaways":249},[250,252,254],{"title":251},"\u003Cp>From unlocking hidden biomarkers to streamlining administrative burdens, AI will improve patient care and redefine the role of physicians.\u003C\u002Fp>\n",{"title":253},"\u003Cp>Technology can serve as a powerful tool, but healthcare remains a fundamentally human endeavor.\u003C\u002Fp>\n",{"title":255},"\u003Cp>This technological revolution won’t unfold on its own, it requires collaboration between physicians, technologists, regulators, and patients.\u003C\u002Fp>\n",{"yoast_wpseo_title":193,"yoast_wpseo_metadesc":257,"yoast_wpseo_canonical":191},"Artificial Intelligence promises material changes on both sides of the stethoscope, but this revolution won't unfold on its own.",{"self":259,"collection":264,"about":266,"author":268,"replies":270,"version-history":273,"predecessor-version":277,"wp:featuredmedia":281,"wp:attachment":284,"wp:term":287,"curies":298},[260],{"href":261,"targetHints":262},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55303",{"allow":263},[135],[265],{"href":138},[267],{"href":141},[269],{"embeddable":26,"href":144},[271],{"embeddable":26,"href":272},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=55303",[274],{"count":275,"href":276},16,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55303\u002Frevisions",[278],{"id":279,"href":280},58683,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55303\u002Frevisions\u002F58683",[282],{"embeddable":26,"href":283},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F55315",[285],{"href":286},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=55303",[288,290,292,294,296],{"taxonomy":164,"embeddable":26,"href":289},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=55303",{"taxonomy":167,"embeddable":26,"href":291},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=55303",{"taxonomy":170,"embeddable":26,"href":293},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=55303",{"taxonomy":173,"embeddable":26,"href":295},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=55303",{"taxonomy":176,"embeddable":26,"href":297},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=55303",[299],{"name":180,"href":181,"templated":26},[301],{"id":115,"date":302,"date_gmt":303,"guid":304,"modified":306,"modified_gmt":307,"slug":308,"status":13,"type":309,"link":310,"title":311,"content":313,"excerpt":315,"author":23,"featured_media":317,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":318,"class_list":322,"better_featured_image":325,"acf":343,"yoast_meta":361,"_links":364},"2020-12-02T08:54:13","2020-12-02T07:54:13",{"rendered":305},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=31417","2023-03-12T18:17:41","2023-03-12T17:17:41","invest-in-digital-health","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Finvest-in-digital-health\u002F",{"rendered":312},"Invest In Digital Health – The Medical Futurist’s Guide",{"rendered":314,"protected":20},"\n\u003Cp>Artificial Intelligence and Digital Health are booming. In this book, we explain why now it’s a good time to invest in Digital Health and give recommendations on where to invest by looking at the top 24 technological trends we find the most promising.\u003C\u002Fp>\n",{"rendered":316,"protected":20},"\u003Cp>Artificial Intelligence and Digital Health are booming. In this book, we explain why now it’s a good time to invest in Digital Health and give […]\u003C\u002Fp>\n",49965,[319,320,321],1681,1617,1571,[323,309,324,52,54,55],"post-31417","type-book",{"id":317,"alt_text":27,"caption":27,"description":27,"media_type":68,"media_details":326,"post":115,"source_url":342},{"width":327,"height":328,"file":329,"filesize":330,"sizes":331,"image_meta":340},320,413,"2020\u002F12\u002Finvest-in-digital-health.png",69673,{"medium":332,"thumbnail":336},{"file":333,"width":327,"height":78,"mime-type":79,"filesize":334,"source_url":335},"invest-in-digital-health-320x208.png",31956,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002Finvest-in-digital-health-320x208.png",{"file":337,"width":90,"height":90,"mime-type":79,"filesize":338,"source_url":339},"invest-in-digital-health-150x150.png",21851,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002Finvest-in-digital-health-150x150.png",{"aperture":107,"credit":27,"camera":27,"caption":27,"created_timestamp":107,"copyright":27,"focal_length":107,"iso":107,"shutter_speed":107,"title":27,"orientation":107,"keywords":341},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002Finvest-in-digital-health.png",{"buy_button_text":344,"leanpub_url":345,"preview":346},"Get it on Leanpub","https:\u002F\u002Fleanpub.com\u002Fdigital-health-investments",[347,349,351,353,355,357,359],{"image":348},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-1-1.png",{"image":350},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-2.png",{"image":352},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-3.png",{"image":354},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-4.png",{"image":356},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-5.png",{"image":358},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-6.png",{"image":360},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F12\u002FInvest-In-Digital-Health-Guide-Preview-7.png",{"yoast_wpseo_title":362,"yoast_wpseo_metadesc":363,"yoast_wpseo_canonical":310},"Invest In Digital Health - The Medical Futurist's Guide","Investment in digital health: Digital health investment activity is robust in 2020. Read our book to learn more about investing in digital healthcare",{"self":365,"collection":370,"about":373,"author":376,"replies":378,"wp:featuredmedia":381,"wp:attachment":384,"wp:term":387,"curies":390},[366],{"href":367,"targetHints":368},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F31417",{"allow":369},[135],[371],{"href":372},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[374],{"href":375},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[377],{"embeddable":26,"href":144},[379],{"embeddable":26,"href":380},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=31417",[382],{"embeddable":26,"href":383},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49965",[385],{"href":386},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=31417",[388],{"taxonomy":176,"embeddable":26,"href":389},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=31417",[391],{"name":180,"href":181,"templated":26},1789237911379]