[{"data":1,"prerenderedAt":400},["ShallowReactive",2],{"slug-what-is-medical-coding-automation-and-its-potentials-in-healthcare":3},{"post":4,"relatedPosts":174,"relatedBooks":307},{"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":41,"contact_email_category":44,"yst_prominent_words":45,"class_list":48,"better_featured_image":66,"acf":109,"yoast_meta":119,"_links":121},51061,"2023-06-01T13:20:43","2023-06-01T11:20:43",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=51061&_wpnonce=432a312f81&status=auto-draft&type=post","2023-06-01T13:20:45","2023-06-01T11:20:45","what-is-medical-coding-automation-and-its-potentials-in-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-is-medical-coding-automation-and-its-potentials-in-healthcare",{"rendered":17},"What Is Medical Coding Automation And Its Potentials In Healthcare?",{"rendered":19,"protected":20},"\n\u003Cp>When it comes to the term ‘coding’, what comes to mind is probably programmers writing software. While this applies to the medical setting in the digital health age, traditionally, medical coding has referred to a specific process. It involves \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41746-022-00705-7#Sec1\" target=\"_blank\" rel=\"noreferrer noopener\">the conversion of medical records\u003C\u002Fa>, generally from clinician’s texts, into structured codes based on a classification system for the appropriate patient diagnosis and relevant procedure.\u003C\u002Fp>\n\n\n\n\u003Cp>The result is clinical information that is consistent and comparable over time and across healthcare departments. Such data can subsequently be used to inform relevant research, policies and, in the case of the US, \u003Ca href=\"https:\u002F\u002Fwww.aapc.com\u002Fmedical-coding\u002Fmedical-coding.aspx\" target=\"_blank\" rel=\"noreferrer noopener\">for billing purposes\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>While important, the manual task of clinical coding is time-consuming. In the case of NHS Scotland for example, a single clinical coder can code \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41746-022-00705-7#Sec2\" target=\"_blank\">around 60 cases daily\u003C\u002Fa>, and a whole coding department can cover over 20,000 cases monthly. However, there remains a backlog which can take several months to cover. In addition, manual coding can lead to errors due to a number of reasons ranging from incomplete data to lack of coding experience.\u003C\u002Fp>\n\n\n\n\u003Cp>For these reasons, the medical coding process \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41746-022-00705-7\" target=\"_blank\" rel=\"noreferrer noopener\">has attracted interest\u003C\u002Fa> in automating the process; more specifically with artificial intelligence (AI) technologies such as machine learning and natural language processing (NLP). In this article, we’ll consider the impact and potentials of such an approach.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Automating medical coding: an AI opportunity\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Computer-assisted medical coding \u003Ca href=\"https:\u002F\u002Fjournals.sagepub.com\u002Fdoi\u002F10.1177\u002F1833358319851305\" target=\"_blank\" rel=\"noreferrer noopener\">has been found to\u003C\u002Fa> enhance the accuracy, quality, and efficiency of manual coding. Researchers and medtech companies alike are now interested in supplementing such aids with AI technologies.\u003C\u002Fp>\n\n\n\n\u003Cp>“Anything image or text-centric is a great opportunity for AI,” \u003Ca href=\"https:\u002F\u002Frevcycleintelligence.com\u002Ffeatures\u002Fmedical-coding-is-the-next-stop-for-artificial-intelligence-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">explains Dr Eric Wilke\u003C\u002Fa>, chief operations officer at ER physician staffing company TECHealth. “So, yes, pathology, radiology, and dermatology are all areas of opportunity, but so is analysing charts for billing and coding.” \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\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png\" alt=\"A.I. in medicine\" class=\"wp-image-23751\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-512x288.png 512w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>With an AI-powered coding approach, the aim is to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedcitynews.com\u002F2022\u002F10\u002Fwhat-will-the-next-generation-of-medical-coding-look-like\u002F\" target=\"_blank\">fully automate\u003C\u002Fa> the medical coding process. Through AI technologies such as NLP, clinical notes are interpreted and translated into codes appropriate for the healthcare organisation’s classification system. Let’s now consider the impact of such automation on the medical coding process.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The impact of medical coding automation\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Considering the non-trivial aspect of medical coding, it’s no wonder that it entails a whole profession, but it’s experiencing a shortage. In the US alone, the nation is facing a 30% shortage of medical coders. AI-powered automation can address those gaps by supplementing those processes. Such potentials do not only lie in the realm of academic discussions. Companies like  \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fnym.health\u002F\" target=\"_blank\">Nym\u003C\u002Fa>, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.fathomhealth.com\u002F\" target=\"_blank\">Fathom\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fc212.net\u002Fc\u002Flink\u002F?t=0&l=en&o=3793383-1&h=2728337200&u=https%3A%2F%2Fwww.codametrix.com%2F&a=https%3A%2F%2Fwww.codametrix.com\" target=\"_blank\">CodaMetrix\u003C\u002Fa> are proposing such solutions.\u003C\u002Fp>\n\n\n\n\u003Cp>“[It’s] assigning the medical codes accurately within seconds and absolutely zero human intervention,” \u003Ca href=\"https:\u002F\u002Fmedcitynews.com\u002F2022\u002F10\u002Fwhat-will-the-next-generation-of-medical-coding-look-like\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">said Julien Dubuis\u003C\u002Fa>, chief commercial officer at Nym, when describing their company’s AI autonomous coding solution. “When I say accurately, I mean that we can achieve 96% accuracy code-over-code for outpatient specialties, which is at par with some of the best human coders.”\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\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\u003C\u002Fdiv>\n\n\n\u003Cp>CodaMetrix \u003Ca href=\"https:\u002F\u002Ffinance.yahoo.com\u002Fnews\u002Fcodametrix-closes-55m-series-autonomously-192000925.html\" target=\"_blank\" rel=\"noreferrer noopener\">is in partnership\u003C\u002Fa> with 10 health systems and universities to deploy its autonomous solution. The AI’s reported outcomes include 70% reduction in manual labour and a significant increase in cost savings.\u003C\u002Fp>\n\n\n\n\u003Cp>Fathom’s automated AI tool \u003Ca href=\"https:\u002F\u002Frevcycleintelligence.com\u002Ffeatures\u002Fmedical-coding-is-the-next-stop-for-artificial-intelligence-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">was leveraged by\u003C\u002Fa> ER physician staffing company TECHealth for medical billing and coding. With AI’s assistance, the company was able to process up to 80% of claims with little to no human interaction.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Supplementing, not replacing the medical coder\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Such potentials of automated medical coding might raise \u003Ca href=\"https:\u002F\u002Fhbr.org\u002F2021\u002F03\u002Fai-should-augment-human-intelligence-not-replace-it\" target=\"_blank\" rel=\"noreferrer noopener\">increasingly prevalent concerns\u003C\u002Fa> about AI replacing humans, even in the healthcare sector. However, this AI-fuelled evolution of medical coding will still factor in humans as the relationship will be more akin to a human-technology collaboration rather than a technological replacement of humans.\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\u002F2021\u002F03\u002F5-levels-of-automation-768x432.png\" alt=\"AI automation doctor radiology diagnositcs tmf\" class=\"wp-image-50501\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F5-levels-of-automation-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F5-levels-of-automation-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F5-levels-of-automation-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F5-levels-of-automation-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F5-levels-of-automation.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>“There are so many things that [a] coder has to remember today… And so having technology helps ease some of that so that we won’t lose revenue,” \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedcitynews.com\u002F2022\u002F10\u002Fwhat-will-the-next-generation-of-medical-coding-look-like\u002F\" target=\"_blank\">explained Sherine Koshy\u003C\u002Fa>, senior director of health information management at Penn Medicine. “We’re here going to make sure that you are becoming more of an auditor in this job, more than just a coder.”\u003C\u002Fp>\n\n\n\n\u003Cp>TECHealth’s case, where the company employed Fathom’s AI automation solution, can help visualise such collaboration. In their example, the technology assisted in processing tens of thousands of medical charts to ensure proper coding in just a few days. This would have taken considerably longer without the aid of AI.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Preparing for the next step in medical automation\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>AI’s potential to positively enhance the medical coding process is undeniable; and AI automation can be considered as the next step in the process. However, its effective implementation will require surmounting some hurdles. Since the efficiency of the AI tool is highly dependent on the data it is trained on, it needs to be supplied with quality data. However, this is not a given from historical medical data.\u003C\u002Fp>\n\n\n\n\u003Cp>“If you don’t give the [AI] the most accurate information upfront, then you don’t always get the most correct information on the backside,” TECHealth’s \u003Ca href=\"https:\u002F\u002Frevcycleintelligence.com\u002Ffeatures\u002Fmedical-coding-is-the-next-stop-for-artificial-intelligence-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">Dr Wilke highlights\u003C\u002Fa>. “If I could go back and redo [implementation], one of the things I would’ve redone is analyzing our coding team to make sure they were using appropriate codes because anyone using an AI engine has to use historical data so they can build the AI’s prediction model.”\u003C\u002Fp>\n\n\n\n\u003Cp>Thus, to prepare for the adoption of automation in medical coding, healthcare organisations will need to ensure their medical data is accurate and of quality. This can then be used to train AI tools more efficiently. Medical coders in turn need to be trained to familiarise themselves with AI automation tools. With AI supplementing human coders’ tasks, existing hurdles in the medical coding process can thus be overcome.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cem>Written by Dr. Bertalan Meskó & Dr. Pranavsingh Dhunnoo\u003C\u002Fem>\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>AI can help out humans in medical coding, where healthcare systems struggle with heavy backlogs. Algorithms work tirelessly and accurately.\u003C\u002Fp>\n",16,51069,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[34,35,36,37,38,39,40],7819,7821,134,7823,144,7825,207,[42,43],950,952,[],[46,47],1723,1833,[49,14,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65],"post-51061","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","tag-medical-coding","tag-clinical-coding","tag-ai","tag-ai-in-medical-coding","tag-artificial-intelligence","tag-ai-in-hospitals","tag-digital-health","project_category-medical-professionals","project_category-policy-makers",{"id":24,"alt_text":67,"caption":27,"description":27,"media_type":68,"media_details":69,"post":5,"source_url":108},"AI medical coding doctor, hospital, clinic, man, laptop, computer","image",{"width":70,"height":71,"file":72,"filesize":73,"sizes":74,"image_meta":106},1920,1080,"2023\u002F06\u002Ftmf_article_365.png",95473,{"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_365-370x208.png","370","208","image\u002Fpng","33431","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-370x208.png",{"file":83,"width":84,"height":85,"mime-type":79,"filesize":86,"source_url":87},"tmf_article_365-768x432.png","768","432","93344","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-768x432.png",{"file":89,"width":90,"height":90,"mime-type":79,"filesize":91,"source_url":92},"tmf_article_365-150x150.png","150","10783","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-150x150.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_365-1536x864.png","1536","864","236001","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-1536x864.png",{"file":101,"width":102,"height":103,"mime-type":79,"filesize":104,"source_url":105},"tmf_article_365-2048x1152.png","2048","1152","350490","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-2048x1152.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},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365.png",{"cta_type":110,"cta_color":27,"subtitle":27,"related_books":111,"related_posts_footer":115,"related_posts":20},"subscribe",[112,113,114],47427,30419,24761,[116,117,118],50987,50545,50671,{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":120,"yoast_wpseo_canonical":15},"AI can help out humans in medical coding, where healthcare systems struggle with heavy backlogs. Algorithms work tirelessly and accurately.",{"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\u002F51061",{"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\u002F16",[138],{"embeddable":26,"href":139},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=51061",[141],{"count":142,"href":143},8,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51061\u002Frevisions",[145],{"id":146,"href":147},51123,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51061\u002Frevisions\u002F51123",[149],{"embeddable":26,"href":150},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F51069",[152],{"href":153},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=51061",[155,158,161,164,167],{"taxonomy":156,"embeddable":26,"href":157},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=51061",{"taxonomy":159,"embeddable":26,"href":160},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=51061",{"taxonomy":162,"embeddable":26,"href":163},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=51061",{"taxonomy":165,"embeddable":26,"href":166},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=51061",{"taxonomy":168,"embeddable":26,"href":169},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=51061",[171],{"name":172,"href":173,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[175],{"id":118,"date":176,"date_gmt":177,"guid":178,"modified":176,"modified_gmt":177,"slug":180,"status":13,"type":14,"link":181,"title":182,"content":184,"excerpt":186,"author":188,"featured_media":189,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":190,"categories":191,"tags":193,"project_category":202,"contact_email_category":204,"yst_prominent_words":205,"class_list":210,"better_featured_image":222,"acf":247,"yoast_meta":261,"_links":264},"2025-02-24T11:48:53","2025-02-24T10:48:53",{"rendered":179},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=50671&_wpnonce=6c2b6b3637&status=auto-draft&type=post","finally-a-good-wearable-blood-pressure-monitor-aktiia-bracelet-review","https:\u002F\u002Fmedicalfuturist.com\u002Ffinally-a-good-wearable-blood-pressure-monitor-aktiia-bracelet-review",{"rendered":183},"Finally A Good Wearable Blood Pressure Monitor: Aktiia Bracelet Review",{"rendered":185,"protected":20},"\n\u003Cp>The digital health revolution has been lagging behind in at least one major field: blood pressure monitoring. For a very long time, there were no better solutions in the market than traditional cuffs. Even the first smartwatches (like the one \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fomron-heartguide-blood-pressure-smartwatch-review\u002F\" target=\"_blank\">I tested from Omron\u003C\u002Fa>), were big and uncomfortable to wear. So it was time for companies to realise the future of BP monitoring lies in Photoplethysmography (PPG).\u003C\u002Fp>\n\n\n\n\u003Cp>PPG is a non-invasive optical technique used to measure blood volume changes in the microvascular bed of tissue. It works by shining a light onto the skin and then measuring the variations in light intensity that result from changes in blood flow. As blood is pumped through the blood vessels, it absorbs and scatters the light, causing the intensity of the reflected or transmitted light to fluctuate. These fluctuations can be detected and analysed to provide information. Photoplethysmography is commonly used to monitor heart rate, blood pressure, and oxygen saturation levels in various medical settings.\u003C\u002Fp>\n\n\n\n\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp>\u003Cbr>Disclaimer: As always, The Medical Futurist is not affiliated with the company, the review is not sponsored, and it reflects my opinion. Companies\u002Fservice providers first read our reviews after publication.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What is it? \u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Aktiia is a wearable lightweight bracelet that is designed to continuously monitor blood pressure 24 hours a day without the need for prolonged use of a traditional cuff. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What’s in the box?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>The Aktiia bracelet \u003C\u002Fli>\n\n\n\n\u003Cli>A charging station and charging cable\u003C\u002Fli>\n\n\n\n\u003Cli>An Aktiia initialization cuff and its charging cable\u003C\u002Fli>\n\n\n\n\u003Cli>User manuals\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-768x512.jpg\" alt=\"\" class=\"wp-image-50687\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-768x512.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-1536x1024.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review.jpg 1620w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How does the Aktiia Bracelet work? \u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The bracelet uses optical sensors and PPG technology to measure blood pressure continuously throughout the day and night. The data is then transferred to a secure cloud server through the Aktiia App, where Aktiia’s algorithms estimate your blood pressure using advanced processing of the optical data. It will provide blood pressure measurements when the user is still. You will be shown one average measurement every 2 hours in the graph.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"455\" height=\"500\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FScreenshot_20230427_122829_Aktiia-side-1.jpg\" alt=\"\" class=\"wp-image-50691\"\u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>Setting up the bracelet was straightforward. First, I had to do three blood pressure readings with the provided Aktiia cuff on my other arm and that was all the preparation needed, I was ready to go. When the initiation process was completed, the app also informed me when I needed to repeat it to make sure that the bracelet’s readings were in line with the cuff’s.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Validation\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>This is of course the most important question of all. Aktiia has conducted \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41440-023-01258-2\">several\u003C\u002Fa> clinical \u003Ca href=\"https:\u002F\u002Faktiia.com\u002Fuk\u002Fwp-content\u002Fuploads\u002Fsites\u002F3\u002F2022\u002F05\u002FAktiia2022-Frontiers-in-Medical-Technology-Guidance-for-Interpretation-of-Continual-Cuffless-BP-Data.pdf\">studies\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Faktiia.com\u002Fuk\u002Fevidence\">validate\u003C\u002Fa> the accuracy of its continuous BP monitoring technology. The studies have shown that the Aktiia smartwatch provides BP readings that are comparable to those obtained by a traditional cuff-based BP monitor. It has received CE Mark clearance for users aged 21-65, excluding those with contraindications due to certain health conditions. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Benefits\u003C\u002Fstrong> of the Aktiia Bracelet\u003C\u002Fh3>\n\n\n\n\u003Cp>One of the main benefits of such a device is that it provides continuous monitoring of BP, which can help detect changes in BP that may not be detected by intermittent cuff-based monitoring. This can be particularly useful for people with hypertension or other conditions (including white coat syndrome) that require regular BP monitoring. Additionally, the bracelet tirelessly measures blood pressure day and night, providing a never before seen abundance of data. Lastly, it is non-invasive and does not require frequent cuff inflation, which can be uncomfortable for some people.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"455\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-3-768x455.jpg\" alt=\"\" class=\"wp-image-50685\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-3-768x455.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-3-1536x910.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F04\u002FAktiia-Blood-pressure-bracelet-review-3.jpg 1822w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">The bracelet is indeed lightweight\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Limitations\u003C\u002Fstrong> of the Aktiia smartwatch\u003C\u002Fh3>\n\n\n\n\u003Cp>The Aktiia smartwatch is not intended to replace traditional cuff-based BP monitoring, particularly for diagnosing hypertension. It is also not recommended for people with certain medical conditions, such as arrhythmias, as continuous BP monitoring may not be accurate in these cases. It doesn’t do readings during exercises and is not water-resistant. It’s not a fitness tracker after all. \u003C\u002Fp>\n\n\n\n\u003Cp>And to be honest, this might prove to be one major limitation in an era when smartwatches and fitness trackers are becoming increasingly popular: this device does one thing only. It does that thing exceptionally well, that is for certain, but I’m not quite sure how many people will invest a few hundred euros\u002Fdollars to get an additional bracelet besides their already existing wearable just to obtain more detailed information about their blood pressure while their medical professional might not even trust that data. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Availability\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>The Aktiia smartwatch is currently available in select countries in Europe (Switzerland, Austria, Germany, France, Italy, Uk and Ireland), and the company plans to expand its availability to other regions in the future. However, as my testing in Hungary demonstrates, you can also download and use their app and device in a non-primary country once you were able to get the device.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Summary \u003C\u002Fstrong>and Rating of the Aktiia Bracelet\u003C\u002Fh2>\n\n\n\n\u003Cp>According to the World Health Organization, an estimated 1.1 billion people worldwide have high blood pressure, which is a major risk factor for heart disease, stroke, and other health problems. It is also a leading cause of premature death and disability worldwide.\u003C\u002Fp>\n\n\n\n\u003Cp>A reliable wearable that continuously monitors blood pressure, without the need for an uncomfortable cuff, is the way forward in the digital health revolution. I haven’t tested similar products yet so I cannot compare the Akttia bracelet to other products, but this bracelet shows that non-invasive BP monitoring has huge potential for the near future.\u003C\u002Fp>\n",{"rendered":187,"protected":20},"\u003Cp>Aktiia is a wearable lightweight bracelet that is designed to continuously monitor blood pressure 24 hours a day without the need for prolonged use of a traditional cuff. \u003C\u002Fp>\n",6,50681,{"_acf_changed":20,"footnotes":27},[192],496,[194,195,196,197,198,199,200,201],1039,7793,7797,682,7799,704,7801,7803,[42,203],951,[],[206,207,208,209],1617,2877,3059,3333,[211,14,50,51,52,53,54,212,213,214,215,216,217,218,219,220,64,221],"post-50671","category-health-sensors-trackers","tag-digital-health-sensors","tag-aktiia","tag-aktiia-review","tag-blood-pressure","tag-wearable-blood-pressure-monitor","tag-blood-pressure-monitor","tag-non-invasive-blood-pressure-monitor","tag-blood-pressure-bracelet","project_category-patients",{"id":189,"alt_text":223,"caption":27,"description":27,"media_type":68,"media_details":224,"post":118,"source_url":246},"digital health, tmf, blood pressure, gadget, 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Aktiia Bracelet offers continuous blood pressure monitoring\u003C\u002Fstrong>, providing readings without the need for a cuff.\u003C\u002Fp>\n",{"title":258},"\u003Cp>\u003Cstrong>The Aktiia Bracelet uses optical sensors and algorithms to deliver accurate measurements\u003C\u002Fstrong>, which are validated against clinical standards.\u003C\u002Fp>\n",{"title":260},"\u003Cp>The device is comfortable, user-friendly, and integrates with a mobile app for data tracking and health insights.\u003C\u002Fp>\n",{"yoast_wpseo_title":262,"yoast_wpseo_metadesc":263,"yoast_wpseo_canonical":181},"Aktiia Bracelet Review: Finally A Good Wearable Blood Pressure Monitor","Aktiia Bracelet Review: The Aktiia Bracelet is a wearable lightweight bracelet that is designed to continuously monitor blood pressure 24 hours a 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