[{"data":1,"prerenderedAt":404},["ShallowReactive",2],{"slug-will-patients-have-to-pay-for-using-ai-in-their-healthcare":3},{"post":4,"relatedPosts":174,"relatedBooks":297},{"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":33,"project_category":36,"contact_email_category":37,"yst_prominent_words":38,"class_list":47,"better_featured_image":58,"acf":102,"yoast_meta":119,"_links":121},54743,"2026-05-11T10:36:27","2026-05-11T08:36:27",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=54743&_wpnonce=f04c6c3277&status=auto-draft&type=post","2026-05-11T10:36:28","2026-05-11T08:36:28","will-patients-have-to-pay-for-using-ai-in-their-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fwill-patients-have-to-pay-for-using-ai-in-their-healthcare",{"rendered":17},"Will Patients Have To Pay For Using AI In Their Healthcare?",{"rendered":19,"protected":20},"\n\u003Cp>Artificial Intelligence (AI) has become increasingly integral to medical practices, with applications ranging from administrative tasks to diagnostics, patient communication, and logistics optimization. Numerous studies have demonstrated the effectiveness of AI algorithms in daily clinical practice. For instance, AI-assisted mammography and treatment planning have shown promising results in diverse settings, including both \u003Ca href=\"https:\u002F\u002Fwww.lunduniversity.lu.se\u002Farticle\u002Fai-supported-mammography-screening-found-be-safe\" target=\"_blank\" rel=\"noreferrer noopener\">in Sweden\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fhealth.google\u002Fcaregivers\u002Fmammography\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">the U.S\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>In the field of radiotherapy for cancers such as lung, prostate, and colorectal, AI technologies are being harnessed \u003Ca href=\"https:\u002F\u002Fwww.nice.org.uk\u002Fnews\u002Farticle\u002Fartificial-intelligence-technologies-to-speed-up-contouring-in-radiotherapy-treatment-planning\" target=\"_blank\" rel=\"noreferrer noopener\">to accelerate treatment planning\u003C\u002Fa>. This not only reduces the workload for healthcare professionals but also improves patient outcomes – a true win-win scenario we are looking for when designing these studies.\u003C\u002Fp>\n\n\n\n\u003Cp>Artificial intelligence has firmly established its presence in the medical field. The primary consideration is not whether AI will be integrated into standard care, but rather how it will be implemented. Unless one has been metaphorically sleeping through the past year, much like a 21st-century Sleeping Beauty, the rise and relevance of AI in medicine is unmistakable.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Are patients to pay the cost of AI in their care? \u003C\u002Fh2>\n\n\n\n\u003Cp>As AI finds its way into everyday clinical settings, a critical question emerges: who will pay for the deployment (and use and maintenance) of such systems? And this is not a sci-fi question, but something we face today. \u003C\u002Fp>\n\n\n\n\u003Cp>This article discussed how the author was asked \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fedition.cnn.com\u002F2024\u002F01\u002F26\u002Fhealth\u002Fai-mammograms-kff-health-news\u002Findex.html\" target=\"_blank\">if she wanted to pay $40 extra\u003C\u002Fa> for additional AI analysis in mammography. In her case a Manhattan radiology clinic offered an AI analysis of their mammogram for an additional $40, not covered by insurance. This scenario was echoed at a clinic in suburban Baltimore, where patients were similarly offered AI-assisted mammography for a $40 fee. These instances mark the initial real-world applications of AI in patient care but also introduce new factors to the healthcare equation. \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\u002F04\u002Ftmf_article_357-768x432.png\" alt=\"TMF, medical student, AI, doctor, data, computer\" class=\"wp-image-50547\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002Ftmf_article_357-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002Ftmf_article_357-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002Ftmf_article_357-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002Ftmf_article_357-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002Ftmf_article_357.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>To make things more complicated, we can’t look for a single, universal solution here. Healthcare systems all over the world are extremely diverse, and there will be no “one size fits all” answer that is equally applicable to the private insurance-based model in the USA to the tax-funded public healthcare in Scandinavian countries.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Will AI be cheaper or more expensive than doctors?\u003C\u002Fh2>\n\n\n\n\u003Cp>The question of whether AI will be more cost-effective than traditional medical practices is complex, and the earlier cited examples, where patients were charged extra for AI-assisted mammography, do not necessarily represent a universal pricing model for AI in healthcare. In the future, the cost comparison might not be straightforward and could involve weighing the price of a doctor’s time against the operational costs of an AI algorithm.\u003C\u002Fp>\n\n\n\n\u003Cp>Consider the scenario of laboratory tests. If AI can provide sufficient analysis at a cost of X, and you need to pay 2X for a doctor to review, relying on the algorithm’s assessment becomes a cost-effective option. But of course, it may happen the other way around, it is too early to know that.\u003C\u002Fp>\n\n\n\n\u003Cp>Conversely, while AI might offer an additional layer of analysis for imaging tests like MRIs, this could potentially come at a higher cost. The financial implications of AI in healthcare are still evolving, and it’s unclear how these will reshape overall costs.\u003C\u002Fp>\n\n\n\n\u003Cp>In countries with private insurance-based healthcare systems, the key factor is insurance coverage: will plans adapt to cover AI-enhanced services, and how will this affect premiums and out-of-pocket expenses? In countries with socialised medicine, the question is whether there are sufficient funds to deploy AI technologies in the first place.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-768x432.png\" alt=\"\" class=\"wp-image-50863\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">New divides will be apparent on multiple levels\u003C\u002Fh2>\n\n\n\n\u003Cp>The integration of AI in healthcare, at least in the short term, threatens to create new disparities in access on multiple levels. A clear example is the AI-assisted mammography scenario: those who can afford to pay more receive additional services. Studies show better detection rates with AI, and while the routine value of such technology in clinical practice is still under evaluation, we can take it for granted that access will not be universal.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Within countries\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>You don’t even need to have a private insurance-based system to face this issue. Let’s consider moderately wealthy countries with socialised medicine and healthcare systems – like the B-tier of the developed world. While such nations often boast relatively advanced healthcare systems, their lower GDP results in significantly less funding compared to the wealthiest countries. In such environments, we’ll more likely see AI-assisted solutions in private care, but not (or not much) in the public system.\u003C\u002Fp>\n\n\n\n\u003Cp>This situation also creates disparities: access is often tied to one’s ability to pay. Yet, in these countries, these inequalities are obscured behind the facade of “free healthcare.” This covert inequality is likely to affect many moderately wealthy nations as they struggle to incorporate AI into their public healthcare systems.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Between countries\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Furthermore, we are likely to witness divides between countries and even continents. Wealthier nations with state-funded healthcare systems might introduce AI more rapidly compared to less affluent countries. For instance, Hungary might struggle to keep pace with countries like Sweden or Germany in universally implementing these technologies. \u003C\u002Fp>\n\n\n\n\u003Cp>And of course, there will be a much more pronounced difference between third-world countries and the wealthiest societies. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Between languages\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Languages also present a barrier, as countries speaking languages with a larger global presence, such as English, Chinese, and Spanish will have more readily developed and implemented systems compared to odd, small languages spoken by a few million. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Between wealthy and struggling providers\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>The financial capability to invest in such technologies significantly impacts their availability and implementation. Thus, many systems might become available for some and unavailable to others, like an AI product reducing physician workload and improving efficiency may be more easily adopted by well-funded private clinics than by struggling state healthcare systems. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_366-768x432.png\" alt=\"\" class=\"wp-image-51075\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_366-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_366-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_366-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_366-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_366.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Leapfrogging in the third world? \u003C\u002Fh2>\n\n\n\n\u003Cp>However, there’s an upside: AI could enable ‘leapfrogging’ in less developed countries. These nations might bypass the need for certain intermediate infrastructures that are costly to maintain in developed countries. This could be a stepping stone in their development, potentially turning a previous disadvantage into an opportunity. For example, AI-driven mobile health applications in remote areas could provide diagnostic support where access to healthcare professionals is limited, effectively leapfrogging the need for extensive healthcare infrastructure.\u003C\u002Fp>\n\n\n\n\u003Cp>AI also presents a solution to the shortage of healthcare professionals, a challenge particularly acute in poorer regions. The migration of medical staff to wealthier areas exacerbates this problem, making access to quality healthcare even more challenging. AI could bridge this gap, offering a level of diagnostic and treatment planning support in regions where human resources are scarce.\u003C\u002Fp>\n\n\n\n\u003Cp>Saying all this, it’s clear that the cost of implementing AI in medicine is not a simple issue with straightforward solutions. Healthcare systems worldwide are in a phase of transition, grappling with how best to integrate AI technologies into their frameworks. Regulators, too, face the challenge of establishing guidelines that balance innovation with accessibility and fairness. As patients, we must understand this evolving situation and our options within it. \u003C\u002Fp>\n\n\n\n\u003Cp>Staying informed and engaged is crucial, as these technological advancements hold the potential to significantly alter our healthcare experience. \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>As AI finds its way into everyday clinical settings, a critical question emerges: will patients be asked to pay extra if AI is used in their care? \u003C\u002Fp>\n",6,54747,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[34,35],7671,7673,[],[],[39,40,41,42,43,44,45,46],1835,2293,3061,3189,1683,1709,1715,1833,[48,14,49,50,51,52,53,54,55,56,57],"post-54743","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","tag-ai-in-healthcare","tag-ai-in-medicine",{"id":24,"alt_text":59,"caption":27,"description":27,"media_type":60,"media_details":61,"post":5,"source_url":101},"AI, radiomics, radiology, X-ray","image",{"width":62,"height":63,"file":64,"filesize":65,"sizes":66,"image_meta":98},6667,3750,"2024\u002F02\u002Ftmf_article_399.png",1452526,{"medium":67,"large":74,"thumbnail":80,"medium_large":85,"1536x1536":86,"2048x2048":92},{"file":68,"width":69,"height":70,"mime-type":71,"filesize":72,"source_url":73},"tmf_article_399-370x208.png",370,208,"image\u002Fpng",32741,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F02\u002Ftmf_article_399-370x208.png",{"file":75,"width":76,"height":77,"mime-type":71,"filesize":78,"source_url":79},"tmf_article_399-768x432.png",768,432,95248,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F02\u002Ftmf_article_399-768x432.png",{"file":81,"width":82,"height":82,"mime-type":71,"filesize":83,"source_url":84},"tmf_article_399-150x150.png",150,11919,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F02\u002Ftmf_article_399-150x150.png",{"file":75,"width":76,"height":77,"mime-type":71,"filesize":78,"source_url":79},{"file":87,"width":88,"height":89,"mime-type":71,"filesize":90,"source_url":91},"tmf_article_399-1536x864.png",1536,864,252017,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F02\u002Ftmf_article_399-1536x864.png",{"file":93,"width":94,"height":95,"mime-type":71,"filesize":96,"source_url":97},"tmf_article_399-2048x1152.png",2048,1152,379272,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F02\u002Ftmf_article_399-2048x1152.png",{"aperture":99,"credit":27,"camera":27,"caption":27,"created_timestamp":99,"copyright":27,"focal_length":99,"iso":99,"shutter_speed":99,"title":27,"orientation":99,"keywords":100},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F02\u002Ftmf_article_399.png",{"cta_type":103,"cta_color":27,"related_books":104,"related_posts_footer":108,"related_posts":20,"subtitle":27,"key_takeaways":112},"subscribe",[105,106,107],24765,24761,52203,[109,110,111],54593,54615,54533,[113,115,117],{"title":114},"\u003Cp>AI solutions are expensive to develop, especially in the healthcare setting.\u003C\u002Fp>\n",{"title":116},"\u003Cp>There is an ongoing debate about who would pay for the advanced use of AI in diagnosis and decision-making.\u003C\u002Fp>\n",{"title":118},"\u003Cp>We see examples where patients are offered a chance to “upgrade” their care with AI, but they have to pay for it themselves.\u003C\u002Fp>\n",{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":120,"yoast_wpseo_canonical":15},"As AI finds its way into everyday clinical settings, a critical question emerges: will patients be asked to pay extra if AI is used in their healthcare?",{"self":122,"collection":128,"about":131,"author":134,"replies":137,"version-history":140,"predecessor-version":144,"wp:featuredmedia":148,"wp:attachment":151,"wp:term":154,"curies":170},[123],{"href":124,"targetHints":125},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F54743",{"allow":126},[127],"GET",[129],{"href":130},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[132],{"href":133},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[135],{"embeddable":26,"href":136},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[138],{"embeddable":26,"href":139},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=54743",[141],{"count":142,"href":143},14,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F54743\u002Frevisions",[145],{"id":146,"href":147},54779,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F54743\u002Frevisions\u002F54779",[149],{"embeddable":26,"href":150},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F54747",[152],{"href":153},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=54743",[155,158,161,164,167],{"taxonomy":156,"embeddable":26,"href":157},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=54743",{"taxonomy":159,"embeddable":26,"href":160},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=54743",{"taxonomy":162,"embeddable":26,"href":163},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=54743",{"taxonomy":165,"embeddable":26,"href":166},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=54743",{"taxonomy":168,"embeddable":26,"href":169},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=54743",[171],{"name":172,"href":173,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[175],{"id":111,"date":176,"date_gmt":177,"guid":178,"modified":180,"modified_gmt":181,"slug":182,"status":13,"type":14,"link":183,"title":184,"content":186,"excerpt":188,"author":23,"featured_media":190,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":191,"categories":192,"tags":193,"project_category":196,"contact_email_category":200,"yst_prominent_words":201,"class_list":209,"better_featured_image":216,"acf":245,"yoast_meta":253,"_links":255},"2025-03-17T09:24:00","2025-03-17T08:24:00",{"rendered":179},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=54533&_wpnonce=42dff79c1c&status=auto-draft&type=post","2025-03-17T09:25:20","2025-03-17T08:25:20","what-will-blood-testing-look-like-in-the-near-future","https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-will-blood-testing-look-like-in-the-near-future",{"rendered":185},"What Will Blood Testing Look Like In The Near Future?",{"rendered":187,"protected":20},"\n\u003Cp>The traditional process of blood draw is familiar to everyone. It typically involves visiting a healthcare facility where a professional, such as a nurse or phlebotomist, draws the blood. Patients then wait for results that are often challenging for non-professionals to interpret. \u003C\u002Fp>\n\n\n\n\u003Cp>This analysis aims to explore how this universally recognized procedure has evolved recently and how it is expected to change in the next 5-10 years, especially in the context of digital health.\u003C\u002Fp>\n\n\n\n\u003Cp>Initially, blood draw was a purely manual process, requiring skilled professionals for both the drawing and the analysis. The procedure and equipment were standard, and the interpretation of results was limited to laboratory professionals. Let’s take a look at each element of the traditional process and see if\u002Fhow it changes.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">1. Going to the point of care facility\u003C\u002Fh2>\n\n\n\n\u003Cp>Traditionally, the journey of blood testing begins with a trip to a point of care (POC) facility. This step, once considered indispensable, is undergoing a significant transformation due to the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-rise-of-at-home-lab-tests\" target=\"_blank\" rel=\"noreferrer noopener\">rise of at-home lab tests\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>At-home lab tests represent a paradigm shift in the way blood testing is conducted. Initially, the idea of conducting complex tests outside of a professional healthcare setting was met with skepticism. The shift has been accelerated by various factors, including the COVID-19 pandemic, when the need for social distancing and minimizing exposure to healthcare facilities supported alternative solutions. However, this trend is not a temporary response to the pandemic but a long-term shift in patient preferences and healthcare practices.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_eliminating-waiting-times-hospital-768x432.png\" alt=\"\" class=\"wp-image-47078\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_eliminating-waiting-times-hospital-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_eliminating-waiting-times-hospital-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002Ftmf_article_eliminating-waiting-times-hospital.png 1280w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>As we move forward, the role of POC facilities is likely to evolve. While they will remain crucial for more complex procedures and tests, and for every case that requires large sample sizes, the rise of at-home lab tests \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhere-does-blood-testing-stand-today\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">suggests a future\u003C\u002Fa> where many standard blood tests can be conducted without the need for a physical visit to a healthcare provider. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">2. The blood draw process\u003C\u002Fh2>\n\n\n\n\u003Cp>The actual step of drawing a blood sample is currently undergoing significant changes in two ways. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">DIY blood draws\u003C\u002Fh3>\n\n\n\n\u003Cp>Firstly, thanks to DIY blood draw kits, patients can now take blood samples at home in just a few minutes. We’ve previously discussed this, you can \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdiy-blood-draw-could-patients-collect-blood-at-home\u002F\">read about the t\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdiy-blood-draw-could-patients-collect-blood-at-home\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">e\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdiy-blood-draw-could-patients-collect-blood-at-home\u002F\">chnology in detail here\u003C\u002Fa>. DIY blood draw takes between 5-15 minutes to complete, you can wake up and finish the process by the time your toast and cappuccino are ready. \u003C\u002Fp>\n\n\n\n\u003Cp>The trustworthy initiatives we’ve seen involve collecting capillary blood from the upper arm using a vacuum. After preparation, the device is attached to the arm, a button is pressed, creating a vacuum, and microneedles\u002Fa tiny lancet pricks the skin. In a few minutes, your sample is ready. These devices can collect liquid and dried samples. I tried it and \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FHOEMj3J_BrU?si=TCKZ8sD9sGJICUYm&t=14\" target=\"_blank\" rel=\"noreferrer noopener\">created a short video\u003C\u002Fa> about the process. \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=\"I Took My Own Blood For A Genetic Test - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FHOEMj3J_BrU?start=14&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>While this method doesn’t reduce the time taken for sampling, it eliminates the need for travel and waiting times. Although not a complete solution for all scenarios, this method has its merits. \u003C\u002Fp>\n\n\n\n\u003Cp>The pandemic has shown that avoiding contact with large groups of patients can be prudent. Moreover, home sampling offers an efficient and convenient method for clinical trials, encouraging patient participation. It is becoming a widely used method for collecting samples for DNA tests, replacing saliva samples, and cheek swabs, with Dante being the first to use dried blood, showing that these small samples are sufficient for their purposes. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Blood drawing robots arrived\u003C\u002Fh3>\n\n\n\n\u003Cp>The second major game-changer in the process is \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwould-you-let-a-robot-take-your-blood-sample\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">the arrival of blood-drawing robots\u003C\u002Fa>. We will meet them at the traditional point-of-care locations, so the setting remains the same with them, but the role of human staff is changing. \u003C\u002Fp>\n\n\n\n\u003Cp>Robots could potentially draw blood more efficiently than humans, freeing up time for medical staff. However, people often prefer human interaction. \u003C\u002Fp>\n\n\n\n\u003Cp>The potential advantages are obvious: the robot doesn’t just guess where the vein is – it actually sees it. Its hands never shake, it never gets tired, and it frees up valuable nurse time. Nurses would still be present to provide empathy and support, but the burden of the technical procedure is not on them. Automation also adds a level of safety for the patient.\u003C\u002Fp>\n\n\n\n\u003Cp>A few years ago, we wrote about Veebot, a robot capable of drawing blood quickly and effectively. Since then, the concept has become a reality. In 2022, Vitestro announced their ‘Autonomous blood drawing device’, which has performed 1500 blood draws on over 1000 patients. They have started a\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fvitestro.com\u002Fvitestro-starts-trial-in-autonomous-blood-drawing-with-enrollment-of-first-patients-in-a-d-o-p-t\u002F#:~:text=Vitestro-,Vitestro%20starts%20largest%2Dscale%20clinical%20trial%20worldwide%20for%20autonomous%20blood,blood%20drawing%20device%20(image).\" target=\"_blank\"> large-scale clinical trial\u003C\u002Fa> involving 10,000 patients, expected to last two years, and also obtained CE marking in 2024.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">3. Analysis and intelligent reporting\u003C\u002Fh2>\n\n\n\n\u003Cp>There are numerous new initiatives in this area, and for good reason. Lab reports, filled with abbreviations, are often incomprehensible to the average patient. Moreover, especially in cases requiring specialists, it can be a lengthy process to reach a doctor and receive their expert opinion. Consequently, it’s not surprising that many initiatives have emerged aiming to make the interpretation of lab results easier and faster.\u003C\u002Fp>\n\n\n\n\u003Cp>To this end, some have developed AI algorithms to provide analysis services \u003Ca href=\"https:\u002F\u002Fwww.kantesti.net\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">directly\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Fwww.smartbloodanalytics.com\u002Fen\u002Fmysmartblood\" target=\"_blank\" rel=\"noreferrer noopener\">patients\u003C\u002Fa>: you can input your lab results and receive an evaluation. There are also \u003Ca href=\"https:\u002F\u002Fmedicus.ai\u002Fsmart-reports\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">AI algorithms\u003C\u002Fa> offered to lab service providers, which they can integrate into their own product offerings, thus aiding in the analysis of test results for their patients.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002Fn_QN59k5hIbulrq4ohfklLAEtm0qr5TIOm3shwsMDOt1gWHFIBAagscSN6xZphdUD3OXd4HIH4R-oiDzsnUUkyI-hsJlHfO8rWHiYCDH-K7BmJbDuEh-x0Nt7xUr8njHFRmceFAv5ey5Qkysgl7_P1c\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Furthermore, we can utilize generative AI algorithms, like ChatGPT. While officially such models are not approved for medical use and cannot be recommended for this purpose, they often help uncover valuable insights. This patient with thyroid issues describes (written very likely with ChatGPT) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedium.com\u002F@sophia.sofroniou\u002Fhow-i-analysed-my-blood-test-results-with-chatgpt-my-personal-experience-d5fa1ed6c5a9\" target=\"_blank\">how they used ChatGPT\u003C\u002Fa> when they couldn’t reach their specialist to help interpret their lab values.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">To sum up\u003C\u002Fh2>\n\n\n\n\u003Cp>To sum up, we will see changes in several segments of the trusted old process of blood testing:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>for tests requiring smaller sample sizes (such as allergies, food intolerances, DNA, microbiome), maintaining a point-of-care facility will become unnecessary, as patients will provide samples from home\u003C\u002Fli>\n\n\n\n\u003Cli>The era of incomprehensible lab results is over, as various AI algorithms will help anyone interpret the results\u003C\u002Fli>\n\n\n\n\u003Cli>Laboratories won’t disappear, but their roles will change\u003C\u002Fli>\n\n\n\n\u003Cli>Point-of-care blood draws, over time, are expected to be increasingly performed by robots, freeing up human staff for other tasks\u003C\u002Fli>\n\u003C\u002Ful>\n",{"rendered":189,"protected":20},"\u003Cp>Blood tests will remain fundamental for the diagnostic work, but parts of the process will change in the next 5-10 years.\u003C\u002Fp>\n",54535,{"_acf_changed":20,"footnotes":27},[31],[194,195],555,4711,[197,198,199],949,950,951,[],[202,203,204,205,206,207,208],4747,4749,2139,2875,2877,4165,4691,[210,14,49,50,51,52,53,54,211,212,213,214,215],"post-54533","tag-blood-draw","tag-lab-test","project_category-educators","project_category-medical-professionals","project_category-patients",{"id":190,"alt_text":27,"caption":27,"description":27,"media_type":60,"media_details":217,"post":111,"source_url":244},{"width":62,"height":63,"file":218,"filesize":219,"sizes":220,"image_meta":242},"2024\u002F01\u002Ftmf_article_397_blood-draw.png",1702693,{"medium":221,"large":225,"thumbnail":229,"medium_large":233,"1536x1536":234,"2048x2048":238},{"file":222,"width":69,"height":70,"mime-type":71,"filesize":223,"source_url":224},"tmf_article_397_blood-draw-370x208.png",46755,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F01\u002Ftmf_article_397_blood-draw-370x208.png",{"file":226,"width":76,"height":77,"mime-type":71,"filesize":227,"source_url":228},"tmf_article_397_blood-draw-768x432.png",122106,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F01\u002Ftmf_article_397_blood-draw-768x432.png",{"file":230,"width":82,"height":82,"mime-type":71,"filesize":231,"source_url":232},"tmf_article_397_blood-draw-150x150.png",16396,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F01\u002Ftmf_article_397_blood-draw-150x150.png",{"file":226,"width":76,"height":77,"mime-type":71,"filesize":227,"source_url":228},{"file":235,"width":88,"height":89,"mime-type":71,"filesize":236,"source_url":237},"tmf_article_397_blood-draw-1536x864.png",302064,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F01\u002Ftmf_article_397_blood-draw-1536x864.png",{"file":239,"width":94,"height":95,"mime-type":71,"filesize":240,"source_url":241},"tmf_article_397_blood-draw-2048x1152.png",444318,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F01\u002Ftmf_article_397_blood-draw-2048x1152.png",{"aperture":99,"credit":27,"camera":27,"caption":27,"created_timestamp":99,"copyright":27,"focal_length":99,"iso":99,"shutter_speed":99,"title":27,"orientation":99,"keywords":243},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F01\u002Ftmf_article_397_blood-draw.png",{"cta_type":103,"cta_color":27,"related_books":20,"related_posts_footer":20,"related_posts":20,"subtitle":27,"key_takeaways":246},[247,249,251],{"title":248},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">The future of blood testing is likely to see a significant shift from traditional healthcare facilities to at-home testing, offering greater convenience and reducing the need for physical visits to healthcare providers.\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":250},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">The process of blood drawing is evolving rapidly with technologies like DIY blood draw kits and blood-drawing robots, which promise to make the procedure more efficient while reducing the workload on medical staff.\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":252},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">The interpretation of lab results is set to become more accessible and comprehensible, with AI algorithms providing analysis services directly to patients and lab service providers, thus demystifying medical data and aiding in faster decision-making.\u003C\u002Fspan>\u003C\u002Fp>\n",{"yoast_wpseo_title":185,"yoast_wpseo_metadesc":254,"yoast_wpseo_canonical":183},"Blood testing will remain fundamental for the diagnostic work, but parts of the process will change in the next 5-10 years.",{"self":256,"collection":261,"about":263,"author":265,"replies":267,"version-history":270,"predecessor-version":274,"wp:featuredmedia":278,"wp:attachment":281,"wp:term":284,"curies":295},[257],{"href":258,"targetHints":259},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F54533",{"allow":260},[127],[262],{"href":130},[264],{"href":133},[266],{"embeddable":26,"href":136},[268],{"embeddable":26,"href":269},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=54533",[271],{"count":272,"href":273},10,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F54533\u002Frevisions",[275],{"id":276,"href":277},58599,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F54533\u002Frevisions\u002F58599",[279],{"embeddable":26,"href":280},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F54535",[282],{"href":283},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=54533",[285,287,289,291,293],{"taxonomy":156,"embeddable":26,"href":286},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=54533",{"taxonomy":159,"embeddable":26,"href":288},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=54533",{"taxonomy":162,"embeddable":26,"href":290},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=54533",{"taxonomy":165,"embeddable":26,"href":292},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=54533",{"taxonomy":168,"embeddable":26,"href":294},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=54533",[296],{"name":172,"href":173,"templated":26},[298],{"id":107,"date":299,"date_gmt":300,"guid":301,"modified":303,"modified_gmt":304,"slug":305,"status":13,"type":306,"link":307,"title":308,"content":310,"excerpt":312,"author":23,"featured_media":314,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":315,"class_list":316,"better_featured_image":319,"acf":353,"yoast_meta":373,"_links":376},"2023-08-26T14:44:31","2023-08-26T12:44:31",{"rendered":302},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=52203","2023-08-26T14:59:40","2023-08-26T12:59:40","generative-ai-in-healthcare-the-chatgpt-revolution","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fgenerative-ai-in-healthcare-the-chatgpt-revolution\u002F",{"rendered":309},"Generative AI in Healthcare – The ChatGPT Revolution",{"rendered":311,"protected":20},"\n\u003Cp>Dive into the world of generative AI with “The ChatGPT Revolution” ebook. Understand the impact of ChatGPT, explore the vast potential of Large Language Models, and anticipate a multimodal AI-driven healthcare future. A must-read for those keen on the next medical revolution.\u003C\u002Fp>\n",{"rendered":313,"protected":20},"\u003Cp>Dive into the world of generative AI with “The ChatGPT Revolution” ebook. Understand the impact of ChatGPT, explore the vast potential of Large Language Models, […]\u003C\u002Fp>\n",52205,[],[317,306,318,50,52,53],"post-52203","type-book",{"id":314,"alt_text":27,"caption":27,"description":27,"media_type":60,"media_details":320,"post":107,"source_url":352},{"width":321,"height":322,"file":323,"filesize":324,"sizes":325,"image_meta":350},2000,2590,"2023\u002F08\u002FGenerative_AI_companies.png",2016564,{"medium":326,"large":330,"thumbnail":335,"medium_large":339,"1536x1536":340,"2048x2048":345},{"file":327,"width":69,"height":70,"mime-type":71,"filesize":328,"source_url":329},"Generative_AI_companies-370x208.png",54639,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002FGenerative_AI_companies-370x208.png",{"file":331,"width":76,"height":332,"mime-type":71,"filesize":333,"source_url":334},"Generative_AI_companies-768x995.png",995,325064,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002FGenerative_AI_companies-768x995.png",{"file":336,"width":82,"height":82,"mime-type":71,"filesize":337,"source_url":338},"Generative_AI_companies-150x150.png",26235,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002FGenerative_AI_companies-150x150.png",{"file":331,"width":76,"height":332,"mime-type":71,"filesize":333,"source_url":334},{"file":341,"width":342,"height":88,"mime-type":71,"filesize":343,"source_url":344},"Generative_AI_companies-1186x1536.png",1186,591766,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002FGenerative_AI_companies-1186x1536.png",{"file":346,"width":347,"height":94,"mime-type":71,"filesize":348,"source_url":349},"Generative_AI_companies-1581x2048.png",1581,899535,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002FGenerative_AI_companies-1581x2048.png",{"aperture":99,"credit":27,"camera":27,"caption":27,"created_timestamp":99,"copyright":27,"focal_length":99,"iso":99,"shutter_speed":99,"title":27,"orientation":99,"keywords":351},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002FGenerative_AI_companies.png",{"buy_button_text":354,"leanpub_url":355,"preview":356},"Get it on Leanpub","https:\u002F\u002Fleanpub.com\u002Fgenerative-ai-in-healthcare",[357,359,361,363,365,367,369,371],{"image":358},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-1.png",{"image":360},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-2.png",{"image":362},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-3.png",{"image":364},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-4.png",{"image":366},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-5.png",{"image":368},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-6.png",{"image":370},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-7.png",{"image":372},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Fgenerativ-ai-in-healthcare-1-8-8.png",{"yoast_wpseo_title":374,"yoast_wpseo_metadesc":375,"yoast_wpseo_canonical":307},"Generative AI in Healthcare - The ChatGPT Revolution - The Medical Futurist","ChatGPT Revolution: Explore generative AI's impact on healthcare. Dive into ChatGPT's rise, LLMs' potential, and envision a multimodal AI future. 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