[{"data":1,"prerenderedAt":457},["ShallowReactive",2],{"slug-googles-masterplan-for-healthcare":3},{"post":4,"relatedPosts":215,"relatedBooks":360},{"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":39,"project_category":58,"contact_email_category":62,"yst_prominent_words":63,"class_list":74,"better_featured_image":110,"acf":143,"yoast_meta":159,"_links":162},20749,"2023-10-26T10:00:00","2023-10-26T08:00:00",{"rendered":9},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=20749","2023-10-24T20:08:44","2023-10-24T18:08:44","googles-masterplan-for-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fgoogles-masterplan-for-healthcare",{"rendered":17},"Google’s Masterplan For Healthcare",{"rendered":19,"protected":20},"\n\u003Cdiv class=\"wp-block-group\">\u003Cdiv class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\u003Cdiv class=\"wp-block-group\">\u003Cdiv class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\u003Cdiv class=\"wp-block-group\">\u003Cdiv class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\u003Cdiv class=\"wp-block-group\">\u003Cdiv class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\u003Cp>With \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.telegraph.co.uk\u002Ftechnology\u002F2019\u002F03\u002F10\u002Fgoogle-sifting-one-billion-health-questions-day\u002F\" target=\"_blank\">7% of Google searches\u003C\u002Fa> – or 70,000 per minute – being health-related a good number of years ago, it was only a matter of time before the search giant aimed to be a healthcare giant. Google hasn’t been particularly shy at expressing these ambitions: it \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgoogles-acquisition-of-fitbit-boon-or-doom-for-the-fitness-tracking-industry\u002F\" target=\"_blank\">purchased Fitbit for $2.1 billion\u003C\u002Fa> and has a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fdeepmind.com\u002Fblog\u002Fannouncements\u002Fdeepmind-health-joins-google-health\" target=\"_blank\">dedicated healthcare offshoot\u003C\u002Fa> from its AI branch, Deepmind. It is also the first company that publicly announced the development of a dedicated healthcare-specified AI model, called Med-PaLM. And as the variety of listed solutions on the \u003Ca rel=\"noopener\" href=\"https:\u002F\u002Fhealth.google\u002F\" target=\"_blank\">Google Health page\u003C\u002Fa> shows, the company has something to offer to everyone, from patients and caregivers to communities, and researchers.  \u003C\u002Fp>\n\n\n\n\u003Cp>In this series exploring the latest moves by tech giants into healthcare, we recently analysed \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Famazon-in-healthcare-disruption-data-nightmares-and-digital-health-dreams\" target=\"_blank\">Amazon\u003C\u002Fa> and provided insights into the trends they are adopting. For now, let’s turn our focus on Google’s plan for the future of healthcare. Of note, we will treat Google, Alphabet, and Verily under the same umbrella. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">AI here, AI there, AI everywhere\u003C\u002Fh2>\n\n\n\n\u003Cp>Google is probably best known for the algorithmic prowess of its search engine. But since it acquired DeepMind, it has intended to expand this expertise elsewhere, \u003Ca href=\"https:\u002F\u002Fdeepmind.com\u002Fblog\u002Fannouncements\u002Fdeepmind-health-joins-google-health\" target=\"_blank\" rel=\"noreferrer noopener\">including healthcare\u003C\u002Fa>. And its efforts are showing promise.\u003C\u002Fp>\n\n\n\n\u003Cp>In August 2020, they \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fai.googleblog.com\u002F2020\u002F08\u002Fusing-machine-learning-to-detect.html\" target=\"_blank\">introduced C2D2\u003C\u002Fa>, a machine learning-based approach to improving colonoscopy screening. In the ensuing months, Google further put its AI as well as cloud computing expertise to use in new partnerships. In 2021, HCA Healthcare and Alphabet’s Google Cloud \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cnbc.com\u002F2021\u002F05\u002F26\u002Fjim-cramer-googles-new-health-care-venture-is-reason-to-buy-alphabet.html\" target=\"_blank\">announced a collaboration\u003C\u002Fa> to develop algorithms to mine insights into patient records from the provider to improve efficiency and patient outcomes.\u003C\u002Fp>\n\n\n\n\u003Cp>Also launched in 2020, Google’s mammography AI system starts bringing in \u003Ca href=\"https:\u002F\u002Fwww.zdnet.com\u002Farticle\u002Fgoogle-health-expands-ai-powered-breast-cancer-screenings-integration\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">tangible results\u003C\u002Fa> by now. Recent studies show that using AI to support radiologists in breast cancer screening \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.zdnet.com\u002Farticle\u002Fai-can-conduct-breast-cancer-screenings-in-less-time-than-humans-but-just-as-well-study-finds\u002F\" target=\"_blank\">can significantly reduce screen reading workload\u003C\u002Fa> with comparable cancer detection efficiency as standard double-reading. \u003C\u002Fp>\n\n\n\n\u003Cp>But of course, in 2023 all eyes are on \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-ai-explained-its-impact-and-future-in-healthcare\" target=\"_blank\">generative AI\u003C\u002Fa>. While Google may have seemed a little quiet during the ChatGPT craze, the company has set its focus on developing specialized models, like Med-PaLM, a large language model \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\u002F\">specifically designed to work in healthcare settings\u003C\u002Fa> and showing jaw-dropping \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fyoutu.be\u002F3Ud-BMOCkDI?si=w2aSDr_uykaMzz8x&t=279\" target=\"_blank\">improvements in accuracy\u003C\u002Fa> in its new, Med-PaLM 2 iteration.\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\u002F06\u002Ftmf_article_365-768x432.png\" alt=\"AI medical coding doctor, hospital, clinic, man, laptop, computer\" class=\"wp-image-51069\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The model was not released to the general public. In the first round, it was accessible to Google Cloud customers in the healthcare and life sciences segment, such as HCA Healthcare, Mayo Clinic and Meditech. A while ago Google announced they are expanding this access to a\u003Ca href=\"https:\u002F\u002Fwww.healthcaredive.com\u002Fnews\u002Fgoogle-med-palm-ai-expansion-healthcare\u002F691677\u002F\" target=\"_blank\" rel=\"noreferrer noopener\"> wider circle of healthcare players\u003C\u002Fa>.  \u003C\u002Fp>\n\n\n\n\u003Cp>In October 2023 Google also revealed a new \u003Ca href=\"https:\u002F\u002Fwww.fiercehealthcare.com\u002Fhealth-tech\u002Fhlth23-google-cloud-rolls-out-new-generative-ai-search-tools-doctors-life-sciences\" target=\"_blank\" rel=\"noreferrer noopener\">AI-powered search tool designed for doctors and nurses\u003C\u002Fa>. According to the company, the medically-tuned generative AI-powered search is able to mine various data sources, including FHIR data, patients’ clinical notes, and other medical information.\u003C\u002Fp>\n\n\n\n\u003Cp>While Med-PaLM currently seems to be the most advanced of large language models in terms of healthcare accuracy, Google faces stiff competition. Microsoft, for instance, has secured its place in clinics with Nuance’s Dax and Dragon AI systems, tools used by hundreds of thousands of US doctors. When it comes to the cloud market, Google ranks fourth, trailing Amazon, Microsoft, and Alibaba. Nevertheless, the generative AI in healthcare race is still wide open, and \u003Ca href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fkatiejennings\u002F2023\u002F08\u002F29\u002Fgoogle-healthcare-generative-ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Google has lots of tricks\u003C\u002Fa> in its sleeves.  \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Google in the cloud\u003C\u002Fh2>\n\n\n\n\u003Cp>Maybe not the largest player in the cloud market, but Google has promising initiatives, like this one,\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fgoogle-cloud-teams-carecloud-bring-generative-ai-small-practices\" target=\"_blank\"> lending much-needed processing power to smaller healthcare practices\u003C\u002Fa>. We already \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcloud-gaming-can-bring-artificial-intelligence-to-the-doctors-office\u002F\" target=\"_blank\">discussed in great detail\u003C\u002Fa> how smaller healthcare entities will need cloud solutions to access advanced AI features as they won’t have the means to invest in cutting-edge hardware that is able to run state-of-the-art algorithms. Instead of expensive hardware upgrades, the processing power is handled remotely, thus physicians can ask complex clinical questions and gain deeper insights, with evidence-based recommendations derived from analysing datasets.\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\u003Cp>The \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fgoogle-cloud-teams-carecloud-bring-generative-ai-small-practices\" target=\"_blank\">Google-CareCloud cooperation\u003C\u002Fa> does exactly that: “By using Google’s offerings such as Vertex AI and Generative AI App Builder, the company is developing tools to bring physicians at smaller practices the same AI-enabled capabilities that are increasingly available at large hospitals and health systems.”\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Research endeavours\u003C\u002Fh2>\n\n\n\n\u003Cp>As it carried out research with its AI algorithms in healthcare, Google seems to have grown interested in broader, population-level medical research. In 2020, the tech giant launched Google Health Studies, an app dedicated to medical research. It allows any user to participate by reporting their symptoms, the steps they are taking to prevent getting ill, and if they’ve had relevant tests. Their first study was focusing on respiratory diseases like the flu and COVID-19.\u003C\u002Fp>\n\n\n\n\u003Cp>This approach can help provide researchers with more relevant patient data and from a larger pool. But it also raises privacy concerns over the handling of such data. Also, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fplay.google.com\u002Fstore\u002Fapps\u002Fdetails?id=com.google.android.apps.health.research.studies&hl=en&gl=US&pli=1\" target=\"_blank\">recent user reviews\u003C\u002Fa> are very far from enthusiastic. \u003C\u002Fp>\n\n\n\n\u003Cp>Nevertheless, Google seems determined to move forward with medical research. They \u003Ca href=\"https:\u002F\u002Fwww.fiercebiotech.com\u002Fmedtech\u002Fverily-taps-former-fda-deputy-commissioner-abernethy-to-lead-clinical-research-business\" target=\"_blank\" rel=\"noreferrer noopener\">appointed Dr. Amy Abernethy\u003C\u002Fa>, the FDA’s former principal deputy commissioner, as president of its Verily branch’s clinical research business in 2021. \u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Famyabernethy\u002Frecent-activity\u002Fall\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">She leads the development of a platform for clinical trials\u003C\u002Fa> and real-world evidence studies; as well as oversees Verily’s ongoing clinical research projects.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Point-of-care technologies projects\u003C\u002Fh2>\n\n\n\n\u003Cp>Just like Apple has a strong focus on turning patients into the point of care, Google is working on similar projects. In March 2021, Verily \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.fiercehealthcare.com\u002Fpayer\u002Falphabet-s-verily-joins-highmark-google-cloud-project-living-health\" target=\"_blank\">announced its partnership\u003C\u002Fa> with Highmark Health for the Living Health Initiative. The latter aims to redesign healthcare delivery with a focus on patients. This collaboration will employ Verily’s digitally-enabled tools for personalized chronic care management of conditions like congestive heart failure and chronic obstructive pulmonary disease.\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>In a rather unexpected move, Google decided to revisit a healthcare area it previously failed to pierce into: health records. In April 2021, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.statnews.com\u002F2021\u002F04\u002F09\u002Fgoogle-health-records-app-care-studio\u002F\" target=\"_blank\">\u003Cem>Stat News\u003C\u002Fem> reported\u003C\u002Fa> that the tech giant is working on \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.healthcaredive.com\u002Fnews\u002Fgoogle-user-testing-personal-health-record\u002F636667\u002F\" target=\"_blank\">a consumer-facing medical records tool\u003C\u002Fa> to make it easier for patients to see, organise, and share their health data.\u003C\u002Fp>\n\n\n\n\u003Cp>The move was rather unexpected because the company already had a similar venture that was \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.theverge.com\u002F2021\u002F4\u002F12\u002F22379846\u002Fgoogle-health-record-data-app-android\" target=\"_blank\">shut down in 2012\u003C\u002Fa>. Again, this is a field that has multiple tech companies’ interest, for example, Apple has been working on the electronic medical records-health app integration \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.informationweek.com\u002Fit-leadership\u002Fapple-partners-with-epic-mayo-clinic-for-healthkit\" target=\"_blank\">for a few years\u003C\u002Fa>, with mixed results.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Regulatory setback and refocus \u003C\u002Fh2>\n\n\n\n\u003Cp>Like its competitors, Google has also faced some setbacks in the past few years. The FDA \u003Ca href=\"https:\u002F\u002Fwww.healthcaredive.com\u002Fnews\u002Ffda-rejects-verily-filing-for-wrist-worn-parkinsons-clinical-trial-device-google\u002F602015\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">rejected Verily’s request\u003C\u002Fa> to use its wearable in a clinical trial to monitor alterations in motor symptoms of patients with Parkinson’s. The regulatory body \u003Ca href=\"https:\u002F\u002Fwww.healthcaredive.com\u002Fnews\u002Ffda-rejects-verily-filing-for-wrist-worn-parkinsons-clinical-trial-device-google\u002F602015\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">did clear Verily’s device\u003C\u002Fa> to monitor ECG and irregular pulse but rejected the request for this new feature. FDA \u003Ca href=\"https:\u002F\u002Fwww.healthcaredive.com\u002Fnews\u002Ffda-rejects-verily-filing-for-wrist-worn-parkinsons-clinical-trial-device-google\u002F602015\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">said that\u003C\u002Fa> the device and associated motor examination “are limited in their capacity to evaluate meaningful aspects of concepts of interest that are relevant to the patients’ ability to function in day-to-day life.” \u003C\u002Fp>\n\n\n\n\u003Cp>Business Insider \u003Ca href=\"https:\u002F\u002Fwww.businessinsider.com\u002Fgoogle-health-splitting-reorganization-sending-employees-fitbit-search-2021-6?r=US&IR=T\" target=\"_blank\" rel=\"noreferrer noopener\">released an exclusive report\u003C\u002Fa> in 2021 detailing how the company has moved Google Health employees to other groups within the company. The Google Health branch will no longer focus on consumer tech, as this is \u003Ca href=\"https:\u002F\u002Fwww.mobihealthnews.com\u002Fnews\u002Fgoogle-downsizes-health-division-reorganizes-consumer-health-team\" target=\"_blank\" rel=\"noreferrer noopener\">mainly driven by the Fitbit team\u003C\u002Fa>. With Google revisiting old projects, refocusing its health team’s efforts and announcing new partnerships, it seems like the tech giant’s healthcare plans are all over the place. But this might be because Google indeed wants to be everywhere in healthcare.\u003C\u002Fp>\n\n\n\n\u003Cp>However, the latest developments indicate that the most promising avenues for the company are AI, remote monitoring software, and cloud computing. But Google is also notorious for pulling the plug on even the most ambitious projects of its projects. The \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fkilledbygoogle.com\u002F\" target=\"_blank\">Google Graveyard\u003C\u002Fa> is a testament to that.\u003C\u002Fp>\n\n\n\n\u003Cp>So, it’s safe to say that we shouldn’t get too attached to a project set forth by Google, even if it could revolutionise healthcare. But we can expect the tech giant to keep branching out in various areas of healthcare as it aims to have a strong foothold on the market.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cem>Written by Dr. Bertalan Meskó & Dr. Pranavsingh Dhunnoo\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\n",false,{"rendered":22,"protected":20},"\u003Cp>AI for medical use, cloud services for healthcare practices, apps for research – Google is everywhere in the digital health field. But the competition is fierce, and the race is still wide open. \u003C\u002Fp>\n",6,35327,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34,35,36,37,38],504,798,521,490,488,496,497,799,[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57],289,373,806,425,821,134,924,144,936,207,246,260,262,6055,266,7279,531,275,[59,60,61],947,951,953,[],[64,65,66,67,68,69,70,71,72,73],1683,1723,1729,1797,1833,1883,2351,2935,1571,1631,[75,14,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109],"post-20749","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-digital-health-research","category-future-medicine","category-future-of-pharma","category-genomics","category-health-sensors-trackers","category-portable-diagnostics","category-security-privacy","tag-innovation","tag-research","tag-tech","tag-technology-2","tag-a-i","tag-ai","tag-longevity","tag-artificial-intelligence","tag-verily","tag-digital-health","tag-future","tag-genetics","tag-genomics","tag-deepmind","tag-google-2","tag-alphabet","tag-google-deepmind","tag-healthcare","project_category-company","project_category-patients","project_category-researchers",{"id":24,"alt_text":27,"caption":27,"description":111,"media_type":112,"media_details":113,"post":141,"source_url":142},"Google’s Masterplan for Healthcare","image",{"width":114,"height":115,"file":116,"sizes":117,"image_meta":139},1920,1080,"2021\u002F08\u002Ftmf_article_281-02.png",{"medium":118,"large":124,"thumbnail":129,"medium_large":133,"1536x1536":134},{"file":119,"width":120,"height":121,"mime-type":122,"source_url":123},"tmf_article_281-02-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F08\u002Ftmf_article_281-02-370x208.png",{"file":125,"width":126,"height":127,"mime-type":122,"source_url":128},"tmf_article_281-02-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F08\u002Ftmf_article_281-02-768x432.png",{"file":130,"width":131,"height":131,"mime-type":122,"source_url":132},"tmf_article_281-02-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F08\u002Ftmf_article_281-02-150x150.png",{"file":125,"width":126,"height":127,"mime-type":122,"source_url":128},{"file":135,"width":136,"height":137,"mime-type":122,"source_url":138},"tmf_article_281-02-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F08\u002Ftmf_article_281-02-1536x864.png",{"aperture":140,"credit":27,"camera":27,"caption":27,"created_timestamp":140,"copyright":27,"focal_length":140,"iso":140,"shutter_speed":140,"title":27,"orientation":140},"0",34907,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F08\u002Ftmf_article_281-02.png",{"related_posts":20,"related_posts_footer":144,"subtitle":27,"cta_type":148,"cta_color":27,"related_books":149,"key_takeaways":152},[145,146,147],52901,42091,47151,"subscribe",[150,151],24761,24759,[153,155,157],{"title":154},"\u003Cp>Google is intensifying its focus on healthcare, leveraging its AI capabilities, with significant advancements like the Med-PaLM model and a new AI-powered search tool specifically designed for medical professionals.\u003C\u002Fp>\n",{"title":156},"\u003Cp>Despite its efforts, Google faces stiff competition in multiple healthcare segments, preventing it from being unequivocally declared as the leader in any specific area.\u003C\u002Fp>\n",{"title":158},"\u003Cp>Google’s track record of discontinuing projects warrants caution, suggesting that while its ambitions are vast, not all ventures may have enduring impacts.\u003C\u002Fp>\n",{"yoast_wpseo_title":160,"yoast_wpseo_metadesc":161,"yoast_wpseo_canonical":15},"Google's Masterplan For Healthcare - The Medical Futurist","Google in healthcare: with about 70,000 health-related searches per minute, the tech giant knows what people want. And it's ready to give them.",{"self":163,"collection":169,"about":172,"author":175,"replies":178,"version-history":181,"predecessor-version":185,"wp:featuredmedia":189,"wp:attachment":192,"wp:term":195,"curies":211},[164],{"href":165,"targetHints":166},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F20749",{"allow":167},[168],"GET",[170],{"href":171},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[173],{"href":174},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[176],{"embeddable":26,"href":177},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[179],{"embeddable":26,"href":180},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=20749",[182],{"count":183,"href":184},50,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F20749\u002Frevisions",[186],{"id":187,"href":188},53147,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F20749\u002Frevisions\u002F53147",[190],{"embeddable":26,"href":191},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F35327",[193],{"href":194},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=20749",[196,199,202,205,208],{"taxonomy":197,"embeddable":26,"href":198},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=20749",{"taxonomy":200,"embeddable":26,"href":201},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=20749",{"taxonomy":203,"embeddable":26,"href":204},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=20749",{"taxonomy":206,"embeddable":26,"href":207},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=20749",{"taxonomy":209,"embeddable":26,"href":210},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=20749",[212],{"name":213,"href":214,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[216],{"id":147,"date":217,"date_gmt":218,"guid":219,"modified":221,"modified_gmt":222,"slug":223,"status":13,"type":14,"link":224,"title":225,"content":227,"excerpt":229,"author":23,"featured_media":231,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":232,"categories":233,"tags":238,"project_category":252,"contact_email_category":256,"yst_prominent_words":257,"class_list":266,"better_featured_image":288,"acf":309,"yoast_meta":316,"_links":318},"2022-09-13T10:00:00","2022-09-13T08:00:00",{"rendered":220},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=47151&_wpnonce=f4c34b5348&status=auto-draft&type=post","2022-09-19T11:00:20","2022-09-19T09:00:20","the-first-database-of-tech-giants-collaborating-with-healthcare-what-can-we-learn","https:\u002F\u002Fmedicalfuturist.com\u002Fthe-first-database-of-tech-giants-collaborating-with-healthcare-what-can-we-learn",{"rendered":226},"The First Database Of Tech Giants Collaborating With Healthcare: What Can We Learn?",{"rendered":228,"protected":20},"\n\u003Cp>We keep repeating for years that \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-2022-healthcare-power-ranking-of-tech-giants\u002F\">tech giants are marching into healthcare\u003C\u002Fa>. This has become really pronounced in the past few weeks, when we hardly saw a day without a major, healthcare-related announcement from one of these companies, like Amazon’s $3.9B \u003Ca href=\"https:\u002F\u002Fwww.cbsnews.com\u002Fnews\u002Fftc-investigating-amazon-purchase-one-medical-1\u002F\">OneMedical acquisition\u003C\u002Fa>, or the\u003Ca href=\"https:\u002F\u002Fwww.reuters.com\u002Fbusiness\u002Fretail-consumer\u002Famazon-eyes-entering-japan-prescription-drug-market-nikkei-2022-09-05\u002F\"> plans for entering the Japanese prescription drug market\u003C\u002Fa>; but we can also mention ByteDance, the parent company of TikTok \u003Ca href=\"https:\u002F\u002Fwww.bloomberg.com\u002Fnews\u002Farticles\u002F2022-08-09\u002Fbytedance-pays-1-5-billion-for-hospital-chain-in-health-foray\">acquiring a private hospital chain for $1.5B\u003C\u002Fa>. And it’s not only tech giants, but retail giants too, that are planning to disrupt the healthcare landscape: CVS Health just confirmed \u003Ca href=\"https:\u002F\u002Fwww.wsj.com\u002Farticles\u002Fcvs-announces-deal-to-acquire-home-healthcare-company-signify-11662411855\">an $8B takeover of Signify Health\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>So what is happening and what does it mean for the future? How will the billions and billions of dollars these companies spend on establishing positions in medicine transform the ways healthcare happens? \u003C\u002Fp>\n\n\n\n\u003Cp>These collaborations – while never exactly kept in secret – are not mapped out, so it is almost impossible to form a picture if it is a growing trend or what kinds of healthcare providers the tech giants cooperate with. It is even harder to learn the actual scope of these cooperations, as both companies and healthcare institutions communicate in the vaguest terms of their goals. \u003C\u002Fp>\n\n\n\n\u003Cp>These were the driving questions behind the latest project of our data analysts when they started mapping out how tech giants collaborate with hospitals and what it means in terms of sharing data.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>What hospitals and tech giants have to offer\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>At the current state of affairs, tech giants and hospitals (medical establishments) both have their unique edges. \u003C\u002Fp>\n\n\n\n\u003Cp>Tech giants have vast experience in developing user-friendly technologies that actually find their way to the mainstream – an important factor as healthcare is becoming ever-more tech-focused. \u003C\u002Fp>\n\n\n\n\u003Cp>On the other hand, healthcare institutions have medical knowledge and experience, legal and regulatory expertise, not to mention a crucial element: medical data. Data is extremely important and valuable in this equation, as machine learning, and deep learning algorithms, artificial intelligence can’t develop without huge amounts of quality medical data. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>This is what the current collaboration landscape looks like\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>We collected all collaborations we could find since 2016 that include the exchange of data to form a clear picture of what is happening in this field. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002F0830_tech_giants_collab_2-01-2.png\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"465\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002F0830_tech_giants_collab_2-01-2-768x465.png\" alt=\"\" class=\"wp-image-47283\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002F0830_tech_giants_collab_2-01-2-768x465.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002F0830_tech_giants_collab_2-01-2.png 1400w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Fa>\u003Cfigcaption>To see the full-size picture, right-click on the \u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002Ftech-giants-hospital-collaborations-TMF_small.png\" target=\"_blank\" rel=\"noreferrer noopener\"\u003C\u002Fa>image\u003C\u002Fa>, and open it in a new browser tab.\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The infographic includes the partners – the tech giant and the healthcare collaborator -, the scope of the cooperation, whether it is finished or ongoing (a significant majority belongs to the latter), and the country where it happens.  To see the full-size picture, right-click on the \u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002Ftech-giants-hospital-collaborations-TMF_small.png\"\u003C\u002Fa>image\u003C\u002Fa>, and open it in a new browser tab.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgoogles-masterplan-for-healthcare\u002F\">Google\u003C\u002Fa> tops the list with 12 projects, focusing on A.I. and cloud services. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmicrosoft-in-healthcare-2021\u002F\">Microsoft\u003C\u002Fa> has seven collaborations, but the fields are the same: artificial intelligence and cloud services. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Famazons-march-into-healthcare-a-2021-update\u002F\">Amazon\u003C\u002Fa> is listed with five initiatives, which seem to be the most diverse: their collaborations cover areas from voice assist services in hospitals to developing cancer vaccines, from developing a digital health ecosystem to transferring machine learning algorithms to the cloud.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>What can we learn from the data? \u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>There are four basic conclusions at first glance. \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>\u003Cstrong>The United States is the undisputed center \u003C\u002Fstrong>of such collaborations. This is not surprising for the country which has the most developed and financially strong tech sector, while the healthcare system is extremely expensive and inaccessible for a significant part of society. Following the 25 US-based projects, two come from the European Union and one from the UK, two from India, and one from Australia and Singapore, showing huge geographical imbalances. \u003C\u002Fli>\u003Cli>\u003Cstrong>Descriptions and publicly available information about the actual exchange of data or the purpose of the collaborations are very often vague\u003C\u002Fstrong>. This is far from reassuring, a much clearer declaration of what is happening with what kinds of data would be essential. \u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftech-giants-in-healthcare-2021-summary\u002F\">\u003Cstrong>All Tech Giants\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong> are involved in at least one collaboration\u003C\u002Fstrong>, and most of these focus either on A.I. (machine learning, deep learning, etc) or cloud services, although they are secretive on specific goals.\u003C\u002Fli>\u003Cli>\u003Cstrong>2022 might be a record year in terms of such cooperative projects\u003C\u002Fstrong>.\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cp>These collaborations are exciting from the futuristic point of view, and we will continue to cover what tech giants do in healthcare and will follow up on these (and new) cooperations. Similarly to the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffda-approved-ai-based-algorithms\u002F\">steadily growing database of FDA-approved A.I.-based algorithms\u003C\u002Fa>, the collab database will be regularly updated and we will report back at regular intervals. \u003C\u002Fp>\n\n\n\n\u003Cp>On the other hand, the fact of how little there is to know about the details of these deals is an important limiting factor, only allowing speculations on what new services or products are going to grow out from these ventures. \u003C\u002Fp>\n",{"rendered":230,"protected":20},"\u003Cp>How will the billions and billions of dollars these companies spend on establishing positions in medicine transform the ways healthcare happens?\u003C\u002Fp>\n",33787,{"_acf_changed":20,"footnotes":27},[234,31,32,235,236,38,237],7079,499,800,494,[57,239,240,241,242,243,244,245,246,247,45,248,47,249,250,251],7637,5039,7529,595,7621,636,7625,671,7627,7629,7631,180,7635,[253,254,255,61],948,950,952,[],[258,259,64,260,261,262,263,264,265],4363,1595,1693,1789,2359,2739,2933,3367,[267,14,76,77,78,79,80,268,81,82,269,270,88,271,106,272,273,274,275,276,277,278,279,280,94,281,96,282,283,284,285,286,287,109],"post-47151","category-tmf","category-healthcare-design","category-healthcare-policy","category-telemedicine","tag-microsoft-healthcare","tag-tech-giants","tag-future-of-healthcare","tag-medical-technology","tag-medical-tech","tag-deep-learning","tag-cooperation","tag-machine-learning","tag-cloud-services","tag-healthcare-it","tag-google-in-healthcare","tag-collaboration-2","tag-amazon-in-healthcare","project_category-developers","project_category-medical-professionals","project_category-policy-makers",{"id":231,"alt_text":27,"caption":27,"description":289,"media_type":112,"media_details":290,"post":307,"source_url":308},"Tech Giants In 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will these collaborations and the billions of dollars tech giants spend on establishing positions in medicine transform the ways healthcare happens?",{"self":319,"collection":324,"about":326,"author":328,"replies":330,"version-history":333,"predecessor-version":337,"wp:featuredmedia":341,"wp:attachment":344,"wp:term":347,"curies":358},[320],{"href":321,"targetHints":322},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F47151",{"allow":323},[168],[325],{"href":171},[327],{"href":174},[329],{"embeddable":26,"href":177},[331],{"embeddable":26,"href":332},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=47151",[334],{"count":335,"href":336},15,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F47151\u002Frevisions",[338],{"id":339,"href":340},47295,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F47151\u002Frevisions\u002F47295",[342],{"embeddable":26,"href":343},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F33787",[345],{"href":346},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=47151",[348,350,352,354,356],{"taxonomy":197,"embeddable":26,"href":349},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=47151",{"taxonomy":200,"embeddable":26,"href":351},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=47151",{"taxonomy":203,"embeddable":26,"href":353},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=47151",{"taxonomy":206,"embeddable":26,"href":355},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=47151",{"taxonomy":209,"embeddable":26,"href":357},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=47151",[359],{"name":213,"href":214,"templated":26},[361],{"id":151,"date":362,"date_gmt":363,"guid":364,"modified":366,"modified_gmt":367,"slug":368,"status":13,"type":369,"link":370,"title":371,"content":373,"excerpt":375,"author":377,"featured_media":378,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":379,"class_list":381,"better_featured_image":384,"acf":402,"yoast_meta":426,"_links":428},"2019-09-06T21:56:27","2019-09-06T19:56:27",{"rendered":365},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=24759","2023-03-12T18:06:35","2023-03-12T17:06:35","the-technological-future-of-medical-specialties","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fthe-technological-future-of-medical-specialties\u002F",{"rendered":372},"The Technological Future of Medical Specialties",{"rendered":374,"protected":20},"\n\u003Cp>In this e-book we specify in detail how the appearance of artificial intelligence, sensors, wearables, VR\u002FAR or robots affect each medical specialty in order to be able to discern what skills physicians will need in the future. We aim to show how physicians of the various professions can successfully prepare for the sweeping changes coming with the waves of technology. \u003C\u002Fp>\n",{"rendered":376,"protected":20},"\u003Cp>In this e-book we specify in detail how the appearance of artificial intelligence, sensors, wearables, VR\u002FAR or robots affect each medical specialty in order to […]\u003C\u002Fp>\n",10,49971,[380],2015,[382,369,383,77,79,80],"post-24759","type-book",{"id":378,"alt_text":27,"caption":27,"description":27,"media_type":112,"media_details":385,"post":151,"source_url":401},{"width":386,"height":387,"file":388,"filesize":389,"sizes":390,"image_meta":400},320,414,"2019\u002F09\u002Ffuture-of-medical-specialties.png",24785,{"medium":391,"thumbnail":396},{"file":392,"width":393,"height":121,"mime-type":122,"filesize":394,"source_url":395},"future-of-medical-specialties-320x208.png","320","52681","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties-320x208.png",{"file":397,"width":131,"height":131,"mime-type":122,"filesize":398,"source_url":399},"future-of-medical-specialties-150x150.png","26567","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties-150x150.png",{"aperture":140,"credit":27,"camera":27,"caption":27,"created_timestamp":140,"copyright":27,"focal_length":140,"iso":140,"shutter_speed":140,"title":27,"orientation":140},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties.png",{"leanpub_url":403,"buy_button_text":404,"preview":405},"https:\u002F\u002Fleanpub.com\u002Ffuture-of-medical-specialties","Get it on Leanpub",[406,408,410,412,414,416,418,420,422,424],{"image":407},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-01.png",{"image":409},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-02.png",{"image":411},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-03.png",{"image":413},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-04.png",{"image":415},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-05.png",{"image":417},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-06.png",{"image":419},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-07.png",{"image":421},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-08.png",{"image":423},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-09.png",{"image":425},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-10.png",{"yoast_wpseo_title":427,"yoast_wpseo_metadesc":27,"yoast_wpseo_canonical":370},"The Technological Future of Medical Specialties - The Medical Futurist",{"self":429,"collection":434,"about":437,"author":440,"replies":443,"wp:featuredmedia":446,"wp:attachment":449,"wp:term":452,"curies":455},[430],{"href":431,"targetHints":432},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F24759",{"allow":433},[168],[435],{"href":436},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[438],{"href":439},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[441],{"embeddable":26,"href":442},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F10",[444],{"embeddable":26,"href":445},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24759",[447],{"embeddable":26,"href":448},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49971",[450],{"href":451},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24759",[453],{"taxonomy":209,"embeddable":26,"href":454},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24759",[456],{"name":213,"href":214,"templated":26},1787036518164]