[{"data":1,"prerenderedAt":385},["ShallowReactive",2],{"slug-new-e-book-100-questions-and-answers-about-generative-ai-in-healthcare":3},{"post":4,"relatedPosts":154,"relatedBooks":292},{"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":34,"contact_email_category":35,"yst_prominent_words":36,"class_list":41,"better_featured_image":50,"acf":88,"yoast_meta":98,"_links":101},55481,"2024-04-11T09:30:02","2024-04-11T07:30:02",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=55481&_wpnonce=9fe6e72c97&status=auto-draft&type=post","2024-04-11T08:45:08","2024-04-11T06:45:08","new-e-book-100-questions-and-answers-about-generative-ai-in-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fnew-e-book-100-questions-and-answers-about-generative-ai-in-healthcare",{"rendered":17},"New E-Book: 100 Questions And Answers About Generative AI In Healthcare",{"rendered":19,"protected":20},"\n\u003Cp>We are happy and proud to introduce you to the new book we’ve been working on in the past few months: \u003Ca href=\"https:\u002F\u002Fleanpub.com\u002F100-questions-about-ai-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">100 Questions And Answers About Generative AI In Healthcare\u003C\u002Fa>. This is a brand new format for us, and we hope you will like it. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fleanpub.com\u002F100-questions-about-ai-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-02-768x432.png\" alt=\"\" class=\"wp-image-55487\"\u002F\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-02-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-02-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-02-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-02.png 1600w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Artificial intelligence has become the buzzword of the past year. Although \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-can-expect-from-a-i-in-healthcare\u002F\" target=\"_blank\">we have\u003C\u002Fa> been \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fno-precision-medicine-without-artificial-intelligence\u002F\" target=\"_blank\">predicting\u003C\u002Fa> for \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare\u002F\" target=\"_blank\">years\u003C\u002Fa> how it will \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fguide-to-artificial-intelligence-in-healthcare\u002F\" target=\"_blank\">revolutionise\u003C\u002Fa> healthcare, it suddenly became very relatable as tools like ChatGPT or MidJourney became \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fa-year-in-ai-the-most-important-milestones-for-medicine\u002F\" target=\"_blank\">available to all of us\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>It is an undeniable – and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F10-things-you-can-definitely-expect-from-the-future-of-healthcare-ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">unstoppable\u003C\u002Fa> – force in healthcare, but this rapid evolution can leave us feeling overwhelmed. With the power to transform diagnostics, drug discovery, and even patient care, this is a vast field, and it can be sometimes challenging to find the focus. \u003Cbr>\u003Cbr>In this new book, we listed 100 questions in 10 chapters, all related to artificial intelligence in healthcare, moving from the basics to the specifics. We did our best to keep the answers short and easy to follow, and the structure of the book light and airy. What kind of topics will be discussed here? \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Here’s a sample of 5 questions, let’s explore some of the answers!\u003C\u002Fh2>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">What are large language models?\u003C\u002Fh2>\n\n\n\n\u003Cp>Large language models (LLMs) are a type of artificial intelligence that can “understand” and generate human-like texts. They are trained on massive amounts of data, from which they learn the patterns and relationships within language, allowing them to generate text, translate between languages, write different kinds of creative content, and answer your questions in an informative way. We can think of them as brilliant autocomplete machines that have mastered the nuances of language.\u003C\u002Fp>\n\n\n\n\u003Cp>Most LLMs work using a neural network architecture called a transformer. This architecture helps them focus on the most relevant parts of the input, making them adept at understanding context and generating responses that are both coherent and relevant. Examples of LLMs include models like GPT-3, GPT-3.5, and GPT-4 (used in \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-chatgpt-revolution-heres-our-new-book-on-generative-ai-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT\u003C\u002Fa>), Google’s LaMDA, Bard or PaLM, and models like Llama or Claude.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">What are the tasks automation could impact the most in healthcare?\u003C\u002Fh2>\n\n\n\n\u003Cp>As a rule of thumb, the best candidates for automation are processes that are both data-based and repetitive. In a hospital, it will first include tasks like \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Scheduling and appointment management: you don’t need humans to fill regular 30-minute spots with patients, it is a task that can be easily managed by an automated system and by the patients themselves.\u003C\u002Fli>\n\n\n\n\u003Cli>Billing and claims processing: automating this monotone, often error-prone process reduces paperwork, speeds up reimbursement, and frees up staff for patient-focused tasks.\u003C\u002Fli>\n\n\n\n\u003Cli>Image processing: well-trained algorithms are many orders of magnitude faster than even the best human specialists. Like Arterys’s \u003Ca href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fbernardmarr\u002F2017\u002F01\u002F20\u002Ffirst-fda-approval-for-clinical-cloud-based-deep-learning-in-healthcare\u002F\">cloud-based deep learning model\u003C\u002Fa> that analyses heart images in 15 seconds, which would take a doctor 30-60 minutes.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Will AI increase or decrease the cost of healthcare?\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. We discussed this issue in depth \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwill-patients-have-to-pay-for-using-ai-in-their-healthcare\u002F\">in this article\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>The financial implications of AI in healthcare are still evolving, and it’s unclear how these will reshape overall costs. 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 socialized medicine, the question is whether there are sufficient funds to deploy AI technologies in the first place.\u003C\u002Fp>\n\n\n\n\u003Cp>This article discussed how the author was asked \u003Ca href=\"https:\u002F\u002Fedition.cnn.com\u002F2024\u002F01\u002F26\u002Fhealth\u002Fai-mammograms-kff-health-news\u002Findex.html\">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\u003Ch2 class=\"wp-block-heading\">How do I interact with AI? \u003C\u002Fh2>\n\n\n\n\u003Cp>The AI models we use most often these days – like ChatGPT, Gemini or Midjourney – work by receiving text-based instructions from the users. These instructions are called prompts, and the “art” of crafting good prompts that make machines create the desired result is called ‘prompt engineering’. \u003C\u002Fp>\n\n\n\n\u003Cp>This might sound fancy or complicated, but the point is this: prompts are our inputs, and the better we get at giving great prompts, the better the output will be. Like any skill, mastery of prompt engineering comes with practice and a good amount of trial and error. The best way to become good at it is by doing it. Just type in anything, a request for an exciting cocktail recipe using limes, a question about the meaning of life or try and make the algorithm sound like an angry elementary school teacher. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">What can we expect from healthcare AI in the next 3 years?\u003C\u002Fh2>\n\n\n\n\u003Cp>In the coming years, AI will play a greater role in patient-facing applications, like skin-checking apps, refining their accuracy and expanding the range of detectable conditions. AI-powered tools supporting doctors and nurses in administrative tasks will become commonplace, freeing up time for meaningful patient interactions. Chatbots are likely to evolve, assisting with initial symptom assessment and offering support for common healthcare questions to bridge gaps in access.\u003C\u002Fp>\n\n\n\n\u003Cp>We may see early adopters of generative AI tools like ChatGPT for tasks such as personalised health summaries or patient communication materials tailored to a specific individual’s understanding level. While widespread clinical use of these tools is still some time away, we expect initial pilots and experimentation. And we can also expect the arrival of multimodal large language models – systems capable of dealing with all kinds of input (including text, sound, images, videos, and even gestures) that may serve as a “central hub”, as the ultimate interface between physicians and specialised AI applications. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Another 95 questions await you\u003C\u002Fh2>\n\n\n\n\u003Cp>The intersection of AI and healthcare is ripe with both challenges and unprecedented opportunities. The examples provided here are just the tip of the iceberg, illustrating how each question opens a door to further inquiry, and, hopefully, a better understanding of how AI can serve both practitioners and patients in meaningful ways.\u003C\u002Fp>\n\n\n\n\u003Cp>With “\u003Ca href=\"https:\u002F\u002Fleanpub.com\u002F100-questions-about-ai-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">100 Questions And Answers About Generative AI In Healthcare\u003C\u002Fa>,” you’re invited to dive deeper into this fascinating topic. Another 95 questions await to equip you with the knowledge and insight needed to navigate the healthcare AI field. Whether you’re a healthcare professional looking to incorporate AI into your practice, a student eager to understand the future of medicine, or simply a curious mind, we hope this book helps your discovery and understanding.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>In this new book, we listed 100 questions in 10 chapters, all related to artificial intelligence in healthcare, moving from the basics to the specifics.\u003C\u002Fp>\n",6,55381,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[],[],[],[37,38,39,40],1715,1833,1835,1683,[42,14,43,44,45,46,47,48,49],"post-55481","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence",{"id":24,"alt_text":27,"caption":27,"description":27,"media_type":51,"media_details":52,"post":86,"source_url":87},"image",{"width":53,"height":54,"file":55,"filesize":56,"sizes":57,"image_meta":83},1820,1024,"2024\u002F04\u002F100-q-header-03.png",1911958,{"medium":58,"large":65,"thumbnail":71,"medium_large":76,"1536x1536":77},{"file":59,"width":60,"height":61,"mime-type":62,"filesize":63,"source_url":64},"100-q-header-03-370x208.png",370,208,"image\u002Fpng",70858,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-03-370x208.png",{"file":66,"width":67,"height":68,"mime-type":62,"filesize":69,"source_url":70},"100-q-header-03-768x432.png",768,432,261955,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-03-768x432.png",{"file":72,"width":73,"height":73,"mime-type":62,"filesize":74,"source_url":75},"100-q-header-03-150x150.png",150,29979,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-03-150x150.png",{"file":66,"width":67,"height":68,"mime-type":62,"filesize":69,"source_url":70},{"file":78,"width":79,"height":80,"mime-type":62,"filesize":81,"source_url":82},"100-q-header-03-1536x864.png",1536,864,917313,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-03-1536x864.png",{"aperture":84,"credit":27,"camera":27,"caption":27,"created_timestamp":84,"copyright":27,"focal_length":84,"iso":84,"shutter_speed":84,"title":27,"orientation":84,"keywords":85},"0",[],55379,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F04\u002F100-q-header-03.png",{"cta_type":89,"cta_color":27,"related_books":90,"related_posts_footer":94,"related_posts":20,"subtitle":27,"key_takeaways":20},"subscribe",[91,92,93],52203,24759,34151,[95,96,97],55033,55367,54887,{"yoast_wpseo_title":99,"yoast_wpseo_metadesc":100,"yoast_wpseo_canonical":15},"E-Book: 100 Questions And Answers About Generative AI In Healthcare","In this new book, we listed 100 questions in 10 chapters, all related to artificial intelligence in healthcare, moving from the basics to the specifics.",{"self":102,"collection":108,"about":111,"author":114,"replies":117,"version-history":120,"predecessor-version":124,"wp:featuredmedia":128,"wp:attachment":131,"wp:term":134,"curies":150},[103],{"href":104,"targetHints":105},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55481",{"allow":106},[107],"GET",[109],{"href":110},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[112],{"href":113},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[115],{"embeddable":26,"href":116},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[118],{"embeddable":26,"href":119},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=55481",[121],{"count":122,"href":123},10,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55481\u002Frevisions",[125],{"id":126,"href":127},55549,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55481\u002Frevisions\u002F55549",[129],{"embeddable":26,"href":130},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F55381",[132],{"href":133},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=55481",[135,138,141,144,147],{"taxonomy":136,"embeddable":26,"href":137},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=55481",{"taxonomy":139,"embeddable":26,"href":140},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=55481",{"taxonomy":142,"embeddable":26,"href":143},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=55481",{"taxonomy":145,"embeddable":26,"href":146},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=55481",{"taxonomy":148,"embeddable":26,"href":149},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=55481",[151],{"name":152,"href":153,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[155],{"id":97,"date":156,"date_gmt":157,"guid":158,"modified":160,"modified_gmt":161,"slug":162,"status":13,"type":14,"link":163,"title":164,"content":166,"excerpt":168,"author":23,"featured_media":170,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":171,"categories":172,"tags":174,"project_category":177,"contact_email_category":181,"yst_prominent_words":182,"class_list":191,"better_featured_image":199,"acf":233,"yoast_meta":248,"_links":250},"2026-07-14T09:34:40","2026-07-14T07:34:40",{"rendered":159},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=54887&_wpnonce=0ec9f39f0d&status=auto-draft&type=post","2026-07-14T09:34:41","2026-07-14T07:34:41","digital-health-menopause-and-the-150-billion-ignorance","https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-menopause-and-the-150-billion-ignorance",{"rendered":165},"Digital Health, Menopause, And The $150 Billion Ignorance",{"rendered":167,"protected":20},"\n\u003Cp>The idea of this story came from personal experience. During the past year, I have spent countless hours and a bucketload of money trying to figure out what the heck is wrong with my health. I was feeling worse and worse, having various symptoms, totally inexplicable with my impeccable test results. During this journey, not a single doctor asked or suggested that my symptoms may come from entering perimenopause – the stage of life of women preceding menopause. \u003C\u002Fp>\n\n\n\n\u003Cp>I am 47 years old, and as I have learned since then, extremely average in starting to have perimenopause symptoms at the age of 47. Also very average with the specific symptoms I have. And even more average in entering this phase of my life with zero practical knowledge or info about the possible symptoms, and treatment options. As it turns out, an overwhelming majority, \u003Ca href=\"https:\u002F\u002Fwww.ucl.ac.uk\u002Fnews\u002F2023\u002Fapr\u002Fnine-ten-women-were-never-educated-about-menopause\" target=\"_blank\" rel=\"noreferrer noopener\">about 90% of women\u003C\u002Fa> report the same. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">A loss of $150 billion every year\u003C\u002Fh2>\n\n\n\n\u003Cp>Perimenopause and menopause have lasting health implications that profoundly impact our aging process – how we retain strength, mobility, and cognitive abilities. This isn’t an issue confined to a few years, it impacts all women over 45 – that’s roughly 1.2 billion people worldwide, about 30% of the living female population till the end of their lives. And around 40% in developed nations where lifespans are longer.\u003C\u002Fp>\n\n\n\n\u003Cp>Even if we don’t care about the “subjective” factors, like women feeling terrible and getting osteoporosis, hard economic reasoning also dictates that humanity should tackle the issue of (peri)menopause. The annual global economic impact from productivity loss and healthcare costs is estimated at $150 billion, \u003Ca href=\"https:\u002F\u002Fwww.bloomberg.com\u002Fnews\u002Farticles\u002F2021-06-18\u002Fwomen-are-leaving-the-workforce-for-a-little-talked-about-reason\" target=\"_blank\" rel=\"noreferrer noopener\">Bloomberg reported\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Despite menopause’s far-reaching consequences, funding for medical research in this area is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ffinance.yahoo.com\u002Fnews\u002Fmenopause-600-billion-opportunity-report-110019808.html\" target=\"_blank\">shockingly scarce\u003C\u002Fa>. Of the $254 million invested in women’s health technology over the past decade, a mere 5% has been allocated to menopause treatments. Most funds were prioritized for reproductive health and fertility. We \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Funderfunding-research-of-female-health-leaves-huge-amounts-of-money-on-the-table\u002F\" target=\"_blank\">have already analysed\u003C\u002Fa> how underfunded female health issues \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fd41586-023-01472-5\">are in general\u003C\u002Fa>, menopause is a great example. \u003C\u002Fp>\n\n\n\n\u003Cp>Dr. Mary Clair Haver, an American OB-GYN specializing in menopause revealed a \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=oQqcnYcKx68\" target=\"_blank\" rel=\"noreferrer noopener\">disheartening observation\u003C\u002Fa> from her training: many women detailing (what we now recognize as) \u003Ca href=\"https:\u002F\u002Fwww.mymenopausecentre.com\u002Fsymptom-checker\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">menopausal symptoms\u003C\u002Fa> were handed over to her with the label “WW patient” (as in whiny woman) along with dismissive condolences. Even today, responses such as “It’s all in your head” or “Why the drama, get over it!” remain distressingly typical.\u003C\u002Fp>\n\n\n\n\u003Cp>The doctor also shared that it’s not uncommon for women to be taking 7-8-10 different medications for various symptoms by the time they reach her. These women recognize that something is wrong, seeking help from one doctor to another. However, healthcare professionals often fail to recognize (peri)menopause as the root cause. Instead, they either dismiss the issue or prescribe separate treatments for individual symptoms.\u003C\u002Fp>\n\n\n\n\u003Cp>This is worrisome for two reasons: these women fail to receive crucially important info on how to preserve their physical and mental health, strength, bone density, and muscle mass while taking a handful of unnecessary drugs day after day. And meanwhile, their overall quality of life doesn’t improve.\u003C\u002Fp>\n\n\n\n\u003Cp>(Peri)menopause symptoms can be confusing: from heart palpitations to anxiety, from sleep troubles to weight gain, from tinnitus to brain fog, from burning mouth to muscle pains, bloating, hair loss and fatigue – seemingly unrelated, very varied. But they are also well documented and should be considered when a woman in the right age cohort (meaning: over 35) starts listing them. Or so you would think.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">70% have serious symptoms, 10% receive treatment info\u003C\u002Fh2>\n\n\n\n\u003Cp>While 70% of women report that (peri)menopause symptoms negatively affect their quality of life, only 10% get sufficient information about treatment options – these shocking figures come from \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=uEZpg0n7jcY\" target=\"_blank\">this interview\u003C\u002Fa>. Canadian Dr. Peter Attia talks about how misinterpretations of the results of the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FWomen%27s_Health_Initiative\" target=\"_blank\">Women’s Health Initiative (WHI)\u003C\u002Fa> resulted in demonizing hormone replacement therapies in the past few decades. \u003C\u002Fp>\n\n\n\n\u003Cp>Hormone replacement therapy faced a significant setback when results generated a widespread media hysteria reporting that HRT increased cancer risk by 25%. However, a closer examination reveals that the actual increase was from a very small risk to a slightly larger (but still very small) risk. In fact, HRT’s long-term protective effects against cardiovascular disease, osteoporosis, muscle loss, mental health issues, and weight management are well-documented and compelling. Yet, the misinterpretation of the WHI study tarnished HRT’s reputation for decades.\u003C\u002Fp>\n\n\n\n\u003Cp>For many women, HRT \u003Ca href=\"https:\u002F\u002Fwww.mayoclinic.org\u002Fdiseases-conditions\u002Fmenopause\u002Fin-depth\u002Fhormone-therapy\u002Fart-20046372\" target=\"_blank\" rel=\"noreferrer noopener\">can be an effective\u003C\u002Fa> way to \u003Ca href=\"https:\u002F\u002Fwww.menopause.org\u002Ffor-women\u002Fexpert-answers-to-frequently-asked-questions-about-menopause\" target=\"_blank\" rel=\"noreferrer noopener\">manage menopausal symptoms\u003C\u002Fa> and improve quality of life. It can help with immediate symptoms, and it can also offer decade-long protection against osteoporosis and cardiovascular disease. But we just don’t know about it.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Digital health to the rescue?\u003C\u002Fh2>\n\n\n\n\u003Cp>There are signs that the digital health sector is starting to recognize the significant potential for innovation in menopause care. One indication of this is the emergence of calls for research, \u003Ca href=\"https:\u002F\u002Fwww.frontiersin.org\u002Fresearch-topics\u002F57739\u002Fusing-digital-health-technologies-to-manage-symptoms-of-menopause\" target=\"_blank\" rel=\"noreferrer noopener\">such as this one\u003C\u002Fa>:\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>“The goal of this Research Topic is to bring together a collection of papers that individually and collectively used digital technologies to shed light on the symptom experience during the menopause transition. In so doing, these insights will identify novel strategies for both clinicians and researchers to use in improving the clinical tools and advancing the science needed for enhancing the management of menopause symptoms.”\u003C\u002Fp>\n\n\n\n\u003Cp>This call for research highlights the growing recognition that digital technologies can be leveraged to:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Improve symptom tracking and monitoring: digital tools can empower women to track their symptoms more accurately and consistently, providing valuable data for clinicians to inform treatment decisions.\u003C\u002Fli>\n\n\n\n\u003Cli>Enhance self-care: mobile apps and other digital resources can provide women with personalized guidance and support for managing their symptoms, promoting self-efficacy and reducing the burden on healthcare systems.\u003C\u002Fli>\n\n\n\n\u003Cli>Advance clinical research: digital technologies can facilitate the collection of large-scale, real-world data on menopause symptoms, enabling researchers to identify new patterns and trends, and develop more effective treatments.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>The global menopause market hit $15.4 billion in 2021 and is projected to reach $24.4 billion by 2030, according to \u003Ca href=\"https:\u002F\u002Fwww.grandviewresearch.com\u002Findustry-analysis\u002Fmenopause-market\" target=\"_blank\" rel=\"noreferrer noopener\">data\u003C\u002Fa> from Grand View Research – \u003Ca href=\"https:\u002F\u002Fwww.fiercehealthcare.com\u002Fhealth-tech\u002Fmenopause-care-market-remains-largely-untapped-heres-why-investors-and-startups-should\" target=\"_blank\" rel=\"noreferrer noopener\">Fierce Healthcare reported\u003C\u002Fa>. According to findings from a \u003Ca href=\"https:\u002F\u002Fwww.aarp.org\u002Fhealth\u002Fconditions-treatments\u002Finfo-2018\u002Fmenopause-symptoms-doctors-relief-treatment.html\" target=\"_blank\" rel=\"noreferrer noopener\">survey\u003C\u002Fa>, of women who seek medical attention 75% are left untreated.\u003C\u002Fp>\n\n\n\n\u003Cp>This is a vast market potential. Venture capital firm SJF Ventures identified 50 startups working in this area, \u003Ca href=\"https:\u002F\u002Fsjfventures.com\u002Fsjf-ventures-market-analysis-outlines-startups-disrupting-menopause-care-and-opportunities-for-investors\u002F#_ftn3\" target=\"_blank\" rel=\"noreferrer noopener\">delivering solutions in five sectors\u003C\u002Fa>, many of which (but not all) list scientific publications and clinical trials on their sites. These categories are\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Biopharma: biopharmaceutical and therapeutic solutions to ovarian health and menopause symptoms.\u003C\u002Fli>\n\n\n\n\u003Cli>Consumer Goods: health supplements, personal care, and sexual wellness products.\u003C\u002Fli>\n\n\n\n\u003Cli>Digital Technology: platforms for menopause management, including symptom tracking, educational resources, and social networks. \u003C\u002Fli>\n\n\n\n\u003Cli>Medical Devices: devices or wearables that alleviate menopause symptoms such as hot flashes and vulvovaginal atrophy. \u003C\u002Fli>\n\n\n\n\u003Cli>Virtual and Hybrid Care: clinical care, including consultations and medications, for menopause symptoms.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">There are many apps for that\u003C\u002Fh2>\n\n\n\n\u003Cp>If a woman reaches the point where she suspects she might be experiencing menopause symptoms, there are numerous apps to aid her journey. I’ve downloaded and tested several myself in recent weeks – including \u003Ca href=\"https:\u002F\u002Fwww.balance-menopause.com\u002Fbalance-app\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Balance\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fheyperry.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Perry\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fhellocaria.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Caria\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.hopkinsmedicine.org\u002Fnews\u002Farticles\u002F2020\u002F06\u002Fgynecologist-develops-menopause-guide-for-physicians\" target=\"_blank\" rel=\"noreferrer noopener\">Menopause\u003C\u002Fa>. Here’s what I’ve learned:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>You can save considerable time by getting detailed info from the app compared to starting research from scratch.\u003C\u002Fli>\n\n\n\n\u003Cli>Most apps I tested did an excellent job collecting menopause symptoms.\u003C\u002Fli>\n\n\n\n\u003Cli>Most go beyond basic symptom recording. They promote a holistic approach, offering advice, programs, and information about how to adjust lifestyle, sleep, nutrition, and exercise to offset symptoms and the long-term negative effects of hormonal changes.\u003C\u002Fli>\n\n\n\n\u003Cli>Several apps feature reviews where users evaluate the effectiveness of various treatment options (HRT, herbal therapies, lifestyle changes) determining whether they helped significantly, slightly, or not at all. This is immensely helpful for learning about various treatment options and making informed decisions.\u003C\u002Fli>\n\n\n\n\u003Cli>I tried free apps, and all of these come with in-app purchases. Understandable, they need to make money somehow. But they are also quite annoying with their aggressive pushiness, and tons of locked premium features. On the other hand, they are typically not expensive, and if you haven’t learned a Ph.D. worth of info by the time you get them and live in their service area – US mostly – using the full-access versions must be much better. \u003C\u002Fli>\n\n\n\n\u003Cli>The Menopause app from Johns Hopkins is an outlier, which was specifically developed for healthcare providers. Although I am not the target audience, I found its matter-of-fact tone, lack of sales push, and depth of information comforting.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>Overall, these apps are great resources for women at this particular stage of life. It’s crucial, however, to raise awareness that they exist, so others find them before they have to spend months researching the topic and visiting dozens of doctors looking for the non-existent illness making them feel off.\u003C\u002Fp>\n",{"rendered":169,"protected":20},"\u003Cp>While 70% of women in (peri)menopause have symptoms, only 10% get sufficient info about treatments – this is a potential goldmine for digital health\u003C\u002Fp>\n",54889,{"_acf_changed":20,"footnotes":27},[31,173],4879,[175,176],7565,7907,[178,179,180],949,950,951,[],[183,184,185,186,187,188,189,190],1559,1571,1579,1617,1737,1871,2079,2199,[192,14,43,44,45,46,47,48,193,194,195,196,197,198],"post-54887","category-lifestyle-medicine","tag-female-health","tag-menopause-tech","project_category-educators","project_category-medical-professionals","project_category-patients",{"id":170,"alt_text":200,"caption":27,"description":27,"media_type":51,"media_details":201,"post":97,"source_url":232},"menopause, female 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style=\"font-weight: 400;\">An overwhelming majority of women enter perimenopause with little to no knowledge about symptoms or treatment options, underscoring a critical gap in women’s healthcare education and support\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":245},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">Despite the profound impact of menopause on health and the economy, with an estimated annual global cost of $150 billion, menopause research and solutions are dramatically underfunded and overlooked\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":247},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">Digital health innovations offer promising new avenues for managing menopause symptoms, providing personalized care and filling the void left by traditional healthcare through symptom tracking, telemedicine, and educational resources\u003C\u002Fspan>\u003C\u002Fp>\n",{"yoast_wpseo_title":165,"yoast_wpseo_metadesc":249,"yoast_wpseo_canonical":163},"While 70% of women in (peri)menopause 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20 Digital Health Trends For The Near Future",{"rendered":306,"protected":20},"\n\u003Cp>Digital technology could help transform unsustainable healthcare systems, provide cheaper, faster, and more effective solutions for diseases – and could lead to healthier individuals living in healthier communities.\u003C\u002Fp>\n\n\n\n\u003Cp>In this book, we analyze the top 20 trends shaping the future of healthcare, and what they all look like in practice.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003C\u002Fp>\n",{"rendered":308,"protected":20},"\u003Cp>Digital technology could help transform unsustainable healthcare systems, provide cheaper, faster, and more effective solutions for diseases – and could lead to healthier individuals living 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