[{"data":1,"prerenderedAt":417},["ShallowReactive",2],{"slug-top-40-digital-health-trends-infographic":3},{"post":4,"relatedPosts":199,"relatedBooks":320},{"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":50,"contact_email_category":52,"yst_prominent_words":53,"class_list":66,"better_featured_image":92,"acf":128,"yoast_meta":143,"_links":146},24217,"2026-03-09T10:25:37","2026-03-09T09:25:37",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24217&#038;_wpnonce=2776351789&#038;status=auto-draft&#038;type=post","2026-03-13T13:04:38","2026-03-13T12:04:38","top-40-digital-health-trends-infographic","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Ftop-40-digital-health-trends-infographic",{"rendered":17},"Top 40 Trends In Digital Health In One Infographic",{"rendered":19,"protected":20},"\n\u003Cp>Digestible sensors? Artificial organs? Medical tricorders? Does any of these already exist, is their development in progress, or do they only appear in our imagination? The world of medical innovations is complex and diverse, full of promising technologies but also hype and marketing. That’s why we collected the most relevant trends that shape digital health in one infographic that also explains at which stage the delivery of these innovations stands, and which medical process and actor they influence. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Finfographics\u002Fdigital-health-trends\u002F\" target=\"_blank\">Check out the infographic here\u003C\u002Fa>!\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How to analyse digital health trends?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Together with publishing \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.amazon.com\u002FGuide-Future-Medicine-Technology-Human-ebook\u002Fdp\u002FB00N3Z7NMC\" target=\"_blank\">The Guide to the Future of Medicine\u003C\u002Fa>, The Medical Futurist released an infographic about 40 trends shaping digital health. It analysed how promising each of the trends was, whether they would benefit patients or doctors; and if they would improve prevention, diagnostics, treatments or long-term consequences. This illustration became so popular that we keep updating it, it currently exists in its third reincarnation. \u003C\u002Fp>\n\n\n\n\u003Cp>Despite the updates, the basis for visually explaining the trends hasn’t changed. We still take three perspectives answering three questions to efficiently interpret the forces shaping the world of medical innovation. These are the following:\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\n\u003Cli>Does the trend affect patients or healthcare professionals?\u003C\u002Fli>\n\n\n\n\u003Cli>Which stage of the delivery of healthcare and the practice of medicine is affected by the trend? Does it appear in prevention, data input and diagnostics, therapy and follow-up, or does it rather impact patient outcomes and the consequences of certain conditions?\u003C\u002Fli>\n\n\n\n\u003Cli>Is the outcome of the trend already available, is its development in progress, or does it still need some time to materialise?\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Cp>For instance, along these lines, the infographic could tell that direct-to-consumer (DTC) artificial intelligence would impact prevention and diagnostics, it would mean a huge difference for patients, but its availability and applicability are further down the road. We still have to wait for a couple of years, if not decades, for DTC AI to appear in the family physician’s office. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fdigital-health-trends.png\" target=\"_blank\" rel=\"noreferrer noopener\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1187\" height=\"1080\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fdigital-health-trends.png\" alt=\"Digital Health Trends\" class=\"wp-image-33289\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fdigital-health-trends.png 1187w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fdigital-health-trends-768x699.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fdigital-health-trends-1536x1398.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fdigital-health-trends-2048x1864.png 2048w\" sizes=\"auto, (max-width: 1187px) 100vw, 1187px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Cp>As the example shows, the infographic could explain in a simple and very visual way where trends in digital health innovation stand at the moment, and that can be very useful to regulators, policy-makers, healthcare professionals, and patients. If you are interested to dive deeper into the digital health universe and\u002For learn about the necessary forecasting skills that would allow you to spot meaningful technologies and recognise empty hype, take a look at our \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.thinkific.com\u002Fcollections\" target=\"_blank\">digital health course\u003C\u002Fa>. The first chapters are free, so you can decide if it is for you before committing.\u003C\u002Fp>\n\n\n\n\u003Cp>Now, let’s see a couple of examples in detail.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>In silico clinical trials will revolutionise drug testing\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>According to the infographic, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-clinical-trials-artificial-patients-synthetic-data-and-real-time-analysis\" target=\"_blank\" rel=\"noreferrer noopener\">in silico clinical trials\u003C\u002Fa> will impact medical professionals’ work, especially in the area of patient outcomes and consequences, however, we have to get there – and it may take several years as completely simulated clinical trials are not feasible with current technology and understanding of biology. That’s why they are marked yellow.\u003C\u002Fp>\n\n\n\n\u003Cp>What does \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffuture-of-clinical-trials\u002F\">the concept of an in silico\u003C\u002Fa> clinical trial mean? It’s basically an individualised computer simulation used in the development or regulatory evaluation of a medicinal product, device, or intervention. Imagine if we could test thousands of new potential drugs on billions of virtual patient models in minutes. What would it take to achieve such a capability? At the very least, virtual patients must almost perfectly mimic the physiology of the target patients, with all the variations that actual patients show. \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\u002F02\u002Ftmf_article_354-01-768x432.png\" alt=\"tmf VR AR MR virtual reality, augmented reality, extended reality, woman, headset, organ, heart\" class=\"wp-image-49459\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_354-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_354-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F02\u002Ftmf_article_354-01-1536x864.png 1536w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fhummod.org\u002F\" target=\"_blank\">HumMod\u003C\u002Fa> is one of the most advanced simulations in this respect. It provides a top-down model of human physiology from whole organs to individual molecules. It features more than 1,500 equations and 10,000 variables such as bodily fluids, circulation, electrolytes, hormones, metabolism, and skin temperature. HumMod aims to simulate how human physiology works, and claims to be the most sophisticated mathematical model of human physiology ever created. HumMod has been in development for decades and it is still far from completion. It may take decades to get there.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Nanorobots in the blood are still\nrather human fantasy\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Looking at the infographic, it becomes visible that nanorobots are marked red. That means that nanoparticles and nanodevices one day may become reality and may operate as precise drug delivery systems, cancer treatment tools or tiny surgeons; however, at the moment we are very far from it. They would highly impact the way therapies would be carried out and how medical professionals would conduct follow-up activities, but it largely remains to be seen how they could be implemented in practice.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-768x432.png\" alt=\"hospital, digital health, device, doctor\" class=\"wp-image-48231\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital.png 1800w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>But let there be no mistake, there are \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fscitechdaily.com\u002Fscientists-develop-nanomachines-that-can-penetrate-and-kill-cancer-cells\u002F\" target=\"_blank\">ongoing experiments\u003C\u002Fa> with \u003Ca href=\"https:\u002F\u002Fhealthnews.com\u002Ffamily-health\u002Fdental-and-oral-health\u002Fdental-nanorobots-innovation-to-improve-root-canal-treatment\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">nanorobots\u003C\u002Fa> carrying out \u003Ca href=\"https:\u002F\u002Fwww.futurity.org\u002Frobots-swarm-brush-floss-teeth-2762622-2\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">various tasks\u003C\u002Fa>. For example, researchers from the Max Planck Institute have been experimenting with exceptionally micro-sized – smaller than a millimeter – \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fnewatlas.com\u002Fscallop-microbots-swim-body-max-planck\u002F34589\u002F\" target=\"_blank\">robots that literally swim through your bodily fluids\u003C\u002Fa>; and could be used to deliver drugs or other medical relief in a highly targeted way. These scallop-like microbots are designed to swim through non-Newtonian fluids, like your bloodstream, around your lymphatic system, or across the slippery goo on the surface of your eyeballs. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Medical drones are for real\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>For a moment, let our feet again touch the ground. While it will be far away in the future when nanorobots might deliver drugs through our veins to the precise place where the medication should have its effect, drones already deliver medical supplies across regions with no infrastructure, to remote areas, or in emergency situations. As medical drones already improve the work of medical professionals, especially in the treatment and follow-up area, they are indicated with the color green on the infographic.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F05\u002Ftmf_article_271-01-768x432.png\" alt=\"\" class=\"wp-image-34581\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F05\u002Ftmf_article_271-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F05\u002Ftmf_article_271-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F05\u002Ftmf_article_271-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F05\u002Ftmf_article_271-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Just take the example of UPS, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmttr.net\u002F\" target=\"_blank\">Matternet\u003C\u002Fa>, and WakeMed Hospital in the US. In March 2019, they announced a partnership so that UPS started delivering medical samples via unmanned drones at WakeMed hospital’s various facilities. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftechcrunch.com\u002F2019\u002F03\u002F26\u002Fups-partners-with-drone-startup-matternet-for-medical-sample-deliveries\u002F\" target=\"_blank\">With the approval of the Federal Aviation Administration and North Carolina’s Department of Transportation\u003C\u002Fa>, UPS and Matternet conduct routine daily flights that transport medical samples. Previously, WakeMed relied on courier cars, which were subject to road delays, so the introduction of medical drones will likely optimise transportation processes. As other examples, we could also mention the work that \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fwww.flyzipline.com\" target=\"_blank\">Zipline\u003C\u002Fa> is doing in \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-in-rwanda\" target=\"_blank\">Rwanda\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fkenyanwallstreet.com\u002Fzipline-drone-delivery-company-completes-test\u002F\" target=\"_blank\">Kenya\u003C\u002Fa>, or the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftechcrunch.com\u002F2022\u002F10\u002F04\u002Fziplines-drones-to-deliver-medicine-in-salt-lake-city-area\u002F\" target=\"_blank\">United States\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>All-in-all, the infographic represents the way we see the development of key trends and innovations in the process of delivering care. And it might be a useful resource for key stakeholders in medicine and health delivery who are in a position to shape regulations, policies, or the architecture of medical care on lower levels for many years to come. \u003C\u002Fp>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you&#8217;d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp>&nbsp;\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Digestible sensors? Artificial organs? Medical tricorders? Does any of these already exist, are their development in progress, or do they only appear in our imagination? The world of medical innovations is complex and diverse, full of promising technologies but also hype and marketing. That’s why we collected the most relevant trends that shape digital health in one infographic that also explains at which stage the delivery of these innovations stands, and which medical process and actor they influence. Check out the infographic here!\u003C\u002Fp>\n",6,24250,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31],521,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],287,1386,289,1387,304,1388,313,347,425,134,205,246,1008,275,1360,286,1385,[51],952,[],[54,55,56,57,58,59,60,61,62,63,64,65],2945,3335,3349,1571,3813,1617,1621,1709,1723,1739,1787,1883,[67,14,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91],"post-24217","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-future-medicine","tag-infographics-2","tag-doctors","tag-innovation","tag-outcome","tag-medical","tag-treatment-pathways","tag-medicine","tag-patient","tag-technology-2","tag-ai","tag-diagnostics","tag-future","tag-medical-professionals","tag-healthcare","tag-therapy","tag-infographic","tag-patients","project_category-policy-makers",{"id":24,"alt_text":27,"caption":27,"description":27,"media_type":93,"media_details":94,"post":5,"source_url":127},"image",{"width":95,"height":96,"file":97,"sizes":98,"image_meta":125},1920,1080,"2019\u002F07\u002F0702_future_of_medicines_16x9.png",{"medium":99,"large":105,"thumbnail":110,"medium_large":114,"1536x1536":115,"2048x2048":120},{"file":100,"width":101,"height":102,"mime-type":103,"source_url":104},"0702_future_of_medicines_16x9-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F07\u002F0702_future_of_medicines_16x9-370x208.png",{"file":106,"width":107,"height":108,"mime-type":103,"source_url":109},"0702_future_of_medicines_16x9-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F07\u002F0702_future_of_medicines_16x9-768x432.png",{"file":111,"width":112,"height":112,"mime-type":103,"source_url":113},"0702_future_of_medicines_16x9-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F07\u002F0702_future_of_medicines_16x9-150x150.png",{"file":106,"width":107,"height":108,"mime-type":103,"source_url":109},{"file":116,"width":117,"height":118,"mime-type":103,"source_url":119},"0702_future_of_medicines_16x9-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F07\u002F0702_future_of_medicines_16x9-1536x864.png",{"file":121,"width":122,"height":123,"mime-type":103,"source_url":124},"0702_future_of_medicines_16x9-2048x1152.png","2048","1152","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F07\u002F0702_future_of_medicines_16x9-2048x1152.png",{"aperture":126,"credit":27,"camera":27,"caption":27,"created_timestamp":126,"copyright":27,"focal_length":126,"iso":126,"shutter_speed":126,"title":27,"orientation":126},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F07\u002F0702_future_of_medicines_16x9-scaled.png",{"related_posts":20,"related_posts_footer":129,"cta_type":133,"cta_color":27,"subtitle":27,"related_books":134,"key_takeaways":138},[130,131,132],50545,33799,50219,"subscribe",[135,136,137],37033,24762,30419,[139,141],{"title":140},"\u003Cp>Digestible sensors? Artificial organs? Medical tricorders? Do any of these already exist, is their development in progress, or do they only appear in our imagination?\u003C\u002Fp>\n",{"title":142},"\u003Cp>We collected the most relevant trends that shape digital health in one infographic that also explains at which stage the delivery of these innovations stands, and which medical process and actor they influence. Check out the infographic here!\u003C\u002Fp>\n",{"yoast_wpseo_title":144,"yoast_wpseo_metadesc":145,"yoast_wpseo_canonical":15},"Top 40 Digital Health Trends In One Complex Infographic","We collected the most relevant digital health trends in one infographic that explains at which stage medical innovations stands. Check it out!",{"self":147,"collection":153,"about":156,"author":159,"replies":162,"version-history":165,"predecessor-version":169,"wp:featuredmedia":173,"wp:attachment":176,"wp:term":179,"curies":195},[148],{"href":149,"targetHints":150},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24217",{"allow":151},[152],"GET",[154],{"href":155},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[157],{"href":158},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[160],{"embeddable":26,"href":161},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[163],{"embeddable":26,"href":164},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24217",[166],{"count":167,"href":168},24,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24217\u002Frevisions",[170],{"id":171,"href":172},60471,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24217\u002Frevisions\u002F60471",[174],{"embeddable":26,"href":175},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F24250",[177],{"href":178},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24217",[180,183,186,189,192],{"taxonomy":181,"embeddable":26,"href":182},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=24217",{"taxonomy":184,"embeddable":26,"href":185},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=24217",{"taxonomy":187,"embeddable":26,"href":188},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=24217",{"taxonomy":190,"embeddable":26,"href":191},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=24217",{"taxonomy":193,"embeddable":26,"href":194},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24217",[196],{"name":197,"href":198,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[200],{"id":132,"date":201,"date_gmt":202,"guid":203,"modified":205,"modified_gmt":206,"slug":207,"status":13,"type":14,"link":208,"title":209,"content":211,"excerpt":213,"author":215,"featured_media":216,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":217,"categories":218,"tags":220,"project_category":223,"contact_email_category":224,"yst_prominent_words":225,"class_list":228,"better_featured_image":233,"acf":263,"yoast_meta":274,"_links":277},"2024-03-28T10:00:00","2024-03-28T09:00:00",{"rendered":204},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=50219&#038;_wpnonce=8764f95875&#038;status=auto-draft&#038;type=post","2024-05-13T03:49:19","2024-05-13T01:49:19","what-does-gpt-4-mean-for-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-does-gpt-4-mean-for-healthcare",{"rendered":210},"Beyond ChatGPT: What Does GPT-4 Add To Healthcare?",{"rendered":212,"protected":20},"\n\u003Cp>Dust has yet to settle on \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fpulse\u002Fwhats-chatgpt-hype-zenith-content-search-teams-share-what-marketers\u002F\" target=\"_blank\">the ChatGPT hype\u003C\u002Fa>, but OpenAI, the developer behind the artificial intelligence (AI) language model underpinning ChatGPT, has launched the next iteration of its model: \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fopenai.com\u002Fproduct\u002Fgpt-4\" target=\"_blank\">GPT-4\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed aligncenter is-type-rich is-provider-twitter wp-block-embed-twitter\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Cblockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\">\u003Cp lang=\"en\" dir=\"ltr\">Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: \u003Ca href=\"https:\u002F\u002Ft.co\u002FTwLFssyALF\">https:\u002F\u002Ft.co\u002FTwLFssyALF\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Ft.co\u002FlYWwPjZbSg\">pic.twitter.com\u002FlYWwPjZbSg\u003C\u002Fa>\u003C\u002Fp>&mdash; OpenAI (@OpenAI) \u003Ca href=\"https:\u002F\u002Ftwitter.com\u002FOpenAI\u002Fstatus\u002F1635687373060317185?ref_src=twsrc%5Etfw\">March 14, 2023\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cscript async src=\"https:\u002F\u002Fplatform.twitter.com\u002Fwidgets.js\" charset=\"utf-8\">\u003C\u002Fscript>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>OpenAI advertises its new AI model \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.theverge.com\u002F2023\u002F3\u002F14\u002F23638033\u002Fopenai-gpt-4-chatgpt-multimodal-deep-learning\" target=\"_blank\">as being\u003C\u002Fa> “more creative and collaborative than ever before” and “can solve difficult problems with greater accuracy”. The tool is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fopenai.com\u002Fproduct\u002Fgpt-4\" target=\"_blank\">already being adopted by organisations\u003C\u002Fa> such as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fopenai.com\u002Fcustomer-stories\u002Fbe-my-eyes\" target=\"_blank\">Be My Eyes\u003C\u002Fa> to assist visually impaired people and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fopenai.com\u002Fcustomer-stories\u002Fkhan-academy\" target=\"_blank\">Khan Academy\u003C\u002Fa> in education; and we will surely encounter more medical use in the months to come. So let’s get acquainted with GPT-4 and what the technology means for healthcare.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What is different with GPT-4?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Like with the new iterations of practically every piece of technology, GPT-4 improves over its predecessors. More specifically, it \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fproduct\u002Fgpt-4\" target=\"_blank\" rel=\"noreferrer noopener\">performs 40% better than GPT-3.5\u003C\u002Fa> at producing factual responses based on OpenAI’s internal evaluations. For context, GPT-3.5 is the model on which \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-potential-medical-use-cases-for-chatgpt\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">the popular ChatGPT software\u003C\u002Fa> currently runs.\u003C\u002Fp>\n\n\n\n\u003Cp>Compared to the latter, OpenAI describes that \u003Ca href=\"https:\u002F\u002Fneoteric.eu\u002Fblog\u002Fgpt-4-vs-gpt-3-openai-models-comparison\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">GPT-4 is more capable\u003C\u002Fa> by being able to handle much more nuanced instructions and deliver more reliable and creative output. The new software also \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fresearch\u002Fgpt-4\" target=\"_blank\" rel=\"noreferrer noopener\">performs better\u003C\u002Fa> than the former version in benchmarks and simulated exams originally designed for humans such as the Medical Knowledge Self-Assessment Program (75% vs 53%).\u003C\u002Fp>\n\n\n\n\u003Cp>While GPT-3 and GPT-3.5 accepted only text-based input, GPT-4 is multimodal as it accepts both text and image input to provide contextual text output. To illustrate this new ability, OpenAI provided the following example:\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"389\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F03\u002Fgpt-4-example-768x389.jpg\" alt=\"\" class=\"wp-image-50227\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F03\u002Fgpt-4-example-768x389.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F03\u002Fgpt-4-example-1536x777.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F03\u002Fgpt-4-example.jpg 1883w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: https:\u002F\u002Fopenai.com\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How to use GPT-4?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Based on what has been made available GPT-4 displays impressive results, but its access to the public is relatively limited; and even those with access have limited usage. Currently, it is available to ChatGPT Plus members, the $20 monthly ChatGPT subscription offered by OpenAI.&nbsp;\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-768x432.png\" alt=\"Medical GPT\" class=\"wp-image-48507\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>Even with a ChatGPT Plus subscription, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fbertalanmesko_gpt4-chatgpt-activity-7041711961973121024-1Yqo\u002F?utm_source=share&amp;utm_medium=member_desktop\" target=\"_blank\">users can ask\u003C\u002Fa> only 100 questions within a 4-hour window and image prompts have not been made available. However, it could be rolled out to a wider audience in the coming months as there is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fopenai.com\u002Fwaitlist\u002Fgpt-4-api\" target=\"_blank\">a waiting list\u003C\u002Fa> and other tools from other companies, such as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fblogs.bing.com\u002Fsearch\u002Fmarch_2023\u002FConfirmed-the-new-Bing-runs-on-OpenAI%E2%80%99s-GPT-4\" target=\"_blank\">Microsoft’s Bing chatbot\u003C\u002Fa>, are leveraging the technology.&nbsp;\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Illustrating GPT-4’s improvements for medical professionals\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Even if accessibility to the tool is currently limited, GPT-4’s improvements also extend to medical queries; and this makes the software an interesting development in the digital health space. The differences between the responses of the GPT-3.5-powered ChatGPT and the new GPT-4 are stark. GPT-4’s output is more detailed, more nuanced and, admittedly, more creative than ChatGPT.\u003C\u002Fp>\n\n\n\n\u003Cp>Who else can better illustrate this than GPT-4 itself? So we asked GPT-4 to provide prompts that would demonstrate the differences between Chat-GPT and GPT-4 for medical professionals. The following was the output provided:\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-table aligncenter\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Prompt\u003C\u002Fstrong>\u003C\u002Ftd>\u003Ctd>\u003Cstrong>ChatGPT\u003C\u002Fstrong> \u003Cstrong>output\u003C\u002Fstrong>\u003C\u002Ftd>\u003Ctd>\u003Cstrong>GPT-4 output\u003C\u002Fstrong>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Diagnosing a patient with ambiguous symptoms\u003C\u002Ftd>\u003Ctd>A patient presents with fatigue, weight loss, and occasional dizziness. What are some possible causes for these symptoms?\u003C\u002Ftd>\u003Ctd>A 45-year-old male patient presents with a 3-month history of progressive fatigue, unintentional weight loss of 15 pounds, and episodes of dizziness. Please provide a differential diagnosis and suggest relevant diagnostic tests.\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Treatment recommendations\u003C\u002Ftd>\u003Ctd>What are some common treatments for type 2 diabetes?\u003C\u002Ftd>\u003Ctd>A 55-year-old female with a recent diagnosis of type 2 diabetes has an HbA1c level of 8.5%. Outline a comprehensive treatment plan, including lifestyle modifications, pharmacological options, and follow-up monitoring.\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Patient education\u003C\u002Ftd>\u003Ctd>Explain high blood pressure in simple terms.\u003C\u002Ftd>\u003Ctd>Create a patient-friendly educational handout on hypertension, including an overview of the condition, risk factors, symptoms, potential complications, and management strategies.\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Reviewing medical research\u003C\u002Ftd>\u003Ctd>Tell me about the benefits of exercise for mental health.\u003C\u002Ftd>\u003Ctd>Summarize recent research findings on the relationship between physical activity and mental health outcomes, including potential mechanisms, types of exercise, and recommendations for various populations.\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Clinical case scenario\u003C\u002Ftd>\u003Ctd>Describe a patient with pneumonia.\u003C\u002Ftd>\u003Ctd>Create a detailed clinical case scenario involving a 65-year-old patient presenting with community-acquired pneumonia, including history of present illness, relevant past medical history, physical examination findings, diagnostic test results, and treatment plan.\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The potential medical purposes for GPT-4\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Aside from such prompts, where could GPT-4 be integrated into medical practice? Its \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-potential-medical-use-cases-for-chatgpt\u002F\" target=\"_blank\">potential use is multifold\u003C\u002Fa>, ranging from administrative tasks to assisting in medical consultations.\u003C\u002Fp>\n\n\n\n\u003Cp>Given its ability to accept more than one input type, GPT-4 can provide context to images by analysing and classifying them. This feature could be useful in transcribing hand-written prescriptions or even assist in the transition of \u003Ca href=\"https:\u002F\u002Ftechpoint.africa\u002F2023\u002F02\u002F13\u002Felectronic-medical-health-records-africa\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">paper-based medical records\u003C\u002Fa> to electronic ones.\u003C\u002Fp>\n\n\n\n\u003Cp>As the new iteration is more reliable at providing factual responses, it can be used by patients to provide a general overview of medical conditions. It might not be as adept at the specifics but can serve as a primer for patient education.\u003C\u002Fp>\n\n\n\n\u003Cp>In the doctor’s office, the tool could summarise a patient’s medical history as well as provide an overview of available treatment pathways. In another case, the AI could assist in summarising clinical notes for integration into electronic medical records. In fact, this is what the Microsoft-owned company \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cnbc.com\u002F2023\u002F03\u002F20\u002Fmicrosoft-nuance-announce-clinical-notes-application-powered-by-openai.html\" target=\"_blank\">Nuance announced\u003C\u002Fa> its new GPT-4-powered tool will enable. This can save time for physicians, which they can dedicate to their patients and offer the human touch during consultations.\u003C\u002Fp>\n\n\n\n\u003Cp>GPT-4 could also enable physicians to stay up-to-date with medical research by summarising lengthy academic papers and highlighting the key takeaways.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed aligncenter 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=\"Medical Uses of ChatGPT - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUNSWYrt-e_s?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 potential uses of GPT-4 in healthcare are indeed manifold, but the actual implementation will depend on the availability of those tools and their ease to use by patients and physicians alike. However, we can expect to come across more digital health companies leveraging the technology soon that will materialise its potential. It will be a rapidly-evolving space, but one that will be interesting to observe; and we’ll be sure to keep you up-to-date with those exciting developments.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cem>Written by Dr. Bertalan Meskó &amp; Dr. Pranavsingh Dhunnoo\u003C\u002Fem>\u003C\u002Fp>\n",{"rendered":214,"protected":20},"\u003Cp>GPT-4, the latest iteration of OpenAI&#8217;s language model, brings significant advancements over its predecessors like GPT-3.5. With improved capabilities and multimodal functionality, it holds promise for diverse applications in medicine and healthcare. 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The advanced technologies fueling the transformation cannot improve without our data; and without it, they can’t be implemented as part of regular medical care. And COVID-19 has only made things worse.\u003C\u002Fp>\n\n\n\n\u003Cp>In this e-Book, we defined the three cornerstones of privacy of every privacy discussion going forward: the traditional, the new and the future spheres that deal with your health data, and put forward recommendations on how you can start protecting yourself.\u003C\u002Fp>\n",{"rendered":336,"protected":20},"\u003Cp>Today, everyone needs to understand that there is no digital health without sacrificing a part of our privacy. 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