👇 In our latest paper in JAMA Health Forum, Lee Fleisher and I highlight the potential of #AI to revolutionize healthcare decision-making by improving diagnosis and treatment, especially for rare diseases. Titled ‘AI can be regulated using current patient safety procedures and infrastructure in hospitals,’ the paper also underlines risks such as misdiagnoses and medical errors if AI is not properly tested, updated, and integrated into clinical practice. We emphasize the need for transparency, accountability, and continuous improvement in AI governance to protect patient safety. We also urge hospitals to develop detailed policies for AI use, including qualifications and monitoring responsibilities. https://lnkd.in/dw-3BqSp Duke Health, Duke University School of Medicine, Duke Clinical and Translational Science Institute, University of Pennsylvania, University of Pennsylvania Perelman School of Medicine, Bipartisan Policy Center
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AI-driven healthcare can transform physician-patient communication, as demonstrated by UC San Diego Health's pioneering use of generative AI within their electronic health records. This work published recently in the JAMA Network Open, is the first randomized prospective evaluation of AI-drafted physician messaging. Their innovative approach eases the cognitive load on physicians, and enhances the quality of doctor-patient interactions. This improves communication efficiency and addresses a critical aspect of healthcare delivery—physician burnout. By creating empathetic AI-drafted messages that doctors can personalize, UC San Diego Health is setting a precedent for integrating AI in ways that preserve the human touch in medicine. This invites us to consider the broader potential of AI across healthcare systems to improve both the effectiveness of clinical communication, care delivery and overall care outcomes. https://lnkd.in/esGKAY8Y #DigitalHealth #HealthcareInnovation #PhysicianBurnout #PatientExperience
Study reveals AI enhances physician-patient communication
medicalxpress.com
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Great article in Nature Portfolio about Hippocratic AI. If you want to learn more about our approach, check out the article!
Thanks Nature Portfolio Medicine and @Paul Webster for sitting down with me to discuss Hippocratic AI’s LLM and all the high-impact, low-risk use cases it can power in healthcare. The industry is facing a massive staffing shortfall, compounded by an aging population and an increase in the number of Americans with chronic diseases. By harnessing the power of generative AI safely and effectively, we can solve the healthcare staffing crisis once and for all. Imagine an AI-powered nurse that could remind patients to take their medicine, follow through with care plans, schedule follow-up appointments, review medication issues, and help patients navigate care-access issues. This could bring us to an unprecedented level of equity, access, and care that we’ve never been able to even imagine before. Read more about how we’re training our LLM, the patient-facing, non-diagnostic use cases we’re prioritizing, and our vision for the future: https://lnkd.in/g_YYAJw4
Six ways large language models are changing healthcare - Nature Medicine
nature.com
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As the U.S. health care system faces shortages and clinician burnout, many providers are turning to AI to improve their workflows, leading to better patient care and outcomes. Read about how AI is improving health care here: https://bit.ly/4bCOHX4 #EHR #AI #DigitalHealth HealthLeaders
Contributed Content: EHR Integration Is a Must For AI in HealthCare
healthleadersmedia.com
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I truly believe that virtual/ AI based scribes will finally create the much sought for, true acceptance of the EHR era for physicians and other professionals! I will highly recommend that clinicians and their administrators should start some level of planning and experimentation of early pilot programs with various AI-based scribing options. Like any innovative solution there will be economical, work flow and regulatory challenges, but nothing I believe will be insurmountable. Good days are coming-- days that will finally put an end to the disruptions that were initiated by the paper to digital transition! The coming generations of clinicians truly owe a lot to the previous and our generations, who suffered through the tough paper to digital transition, and paved the way for a better future, both for clinicians and the patients! Abode Care Partners BrightSpring Health Services AMDA - The Society for Post-Acute and Long-Term Care Medicine
Virtual Scribes and Physician Time Spent on Electronic Health Records
jamanetwork.com
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I was really fascinated by this paper, so I’m reposting it - this time I provide some key discussion points which I found interesting and helpful for those working on developing AI tools in healthcare (AIH) as well as potential end-users (patients and clinicians to mention few): · AIH must first and foremost directly benefit patients -> maximize the benefits and reduce the harm · The central criteria for use of AIH should be the same as for other medical technologies: better healthcare for all patients, including faster access (eg lower costs of delivering care and improved productivity) and support for the healthcare workforce · AI should be used as a complementary tool, supporting the clinicians and / or helping patients, rather than as a replacement (this may change in future) · AIH needs to be used responsibly – there are ongoing efforts around developing a code of conduct that will harmonize efforts into one framework, with a special emphasis on ethics, equity, and vigilance for errors that may emerge once the AI is in use. · Ideally, professionals and patient advocates will determine best clinical practices and convey them to regulators, rather than vice versa. And here is a set of important recommendations for AIH developers: 1. Be transparent about your training data sets (this will foster trust and potentially faster adoption) - Super important! 2. Diversity must be represented within training data sets to ensure AIH tools' applicability to underrepresented minorities. 3. Tech companies must accept some portion of the legal liability if an AIH system leads to harm and it is at fault. 4. Similarly, tech companies must move toward accepting some responsibility for outcomes when patients use AI directly, just as with any other direct-to-consumer health tool or resource. 5. Bring patients, patient advocates, and clinicians into the process of designing the technology at every stage (this will also foster trust and potentially faster adoption) - 100% agree! 6. Regarding business models, the expert group favored subscription to AIH or up-front payment models rather than bill per use, based on previous experiences. In summary, all involved stakeholders (and it’s pretty much everyone) will need to be educated about the responsible use of AIH, while the developers think about their share of liability, bringing right stakeholders in the development process and staying transparent). This will all need to be followed by careful monitoring of the effects of implementing new AIH technologies, such as assessing its impact on aspects such as reduction of administrative costs, improving patient outcomes and other potential benefits. #aihealthcare
Recomended read for this weekend ! Great summary from recent RAISE (Responsible AI for Social and Ethical Healthcare) conference which had a goal to discuss AI in healthcare (AIH), how it should enhance patient care, support health care professionals and be accessible and safe for all.
To Do No Harm — and the Most Good — with AI in Health Care
ai.nejm.org
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📣 Conglomerate Healthcare 𝐁𝐫𝐨𝐮𝐠𝐡𝐭 𝐘𝐨𝐮 𝐀𝐧 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐍𝐞𝐰𝐬 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 🚀 The University of Vermont is taking a giant leap forward in clinical documentation by partnering with Abridge, an AI-powered platform. This collaboration aims to streamline the documentation process, reduce administrative burden, and allow healthcare professionals to focus more on #patientcare. By leveraging Abridge's advanced AI technology, The University of Vermont is set to enhance the accuracy and efficiency of clinical notes, ultimately improving the quality of care provided. This initiative is a significant step towards transforming the #healthcarelandscape through innovative solutions. Read more about this groundbreaking partnership and how it will impact #healthcare 👇 #healthcareinnovation #aiinhealthcare #clinicaldocumentation #healthcarerecruitment #UVM #abridge #ushealthcare #healthcarenews #healthcaretechnology #healthcareit
UVM partners with Abridge for AI clinical documentation
healthcarefinancenews.com
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President-Elect, American College of Lifestyle Medicine, Primary Care Internist, Healthcare Transformation Strategist and Consultant, Vice President, World Lifestyle Medicine Organization
"Although the arrival of AI may thus be good news for specialists, primary care physicians (PCPs), who function as critical gatekeepers to these specialists, have been left in an uncomfortable limbo. Despite an abundance of proposals for AI to improve the delivery of primary care through population risk prediction, data exploration, remote patient monitoring, and digital health coaching, a huge gap remains between the concepts and implementation. Even though these proposals may ultimately improve patient health outcomes, they do not address the principal scarce resource of overworked PCPs—their time." "The current generation of fundamentally flawed, digitally overloaded electronic health records needs to undergo a major overhaul. A new AI-based application cannot simply be appended to the prevailing dysfunctional user interface, upon which PCPs now spend more time clicking away than treating patients. To do so would just add yet another clay pigeon to a shooting range–style computer screen already overloaded with icons, buttons, pop-ups, text boxes, alerts, warnings, and other distracting decoys." https://lnkd.in/g9zdKS6E
An AI-Enhanced Electronic Health Record Could Boost Primary Care Productivity
jamanetwork.com
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Digital Health Enthusiast | Data Privacy Advocate | Telehealth Strategist | Regulatory Compliance Specialist | DPDPA, GDPR, HIPAA | Consultant, CEO, Speaker, Mentor, Director, DPO | 25 Yrs in Web 3.0, Mobile Apps, AI, ML
UpDoc, the first company with a conversational AI platform that manages medication prescriptions, today exited stealth to announce a strategic funding round led by Polaris Partners with participation from Oxeon Partners, Eli Lilly and Company and Mayo Clinic. This follows landmark research conducted at Stanford Medicine and paves the way for additional collaborations with Microsoft, Google, Santa Clara County Independent Physician Association (SCCIPA), UCSF Health, Mayo Clinic, and the American Heart Association. UpDoc aims to deliver a @clinician-directed AI provider to every #patient's home through accessible #technology that improves access to high quality, affordable care. All care delivered through the AI is prescribed by #physicians or clinical pharmacists who oversee the platform. #conversationalAI #artificialintelligence #ai #remotepatientmonitoring #telehealth #digitalhealth
UpDoc Debuts the World's First AI Assistant That Manages Medication Prescriptions and Chronic Conditions
prnewswire.com
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Healthcare management | Technology Assessment | Research & Innovation | Artificial Intelligence | Drug Evaluation
Drawing from real-life scenarios and insights shared at the #RAISE (Responsible AI for Social and Ethical Healthcare) conference, we highlight the critical need for #AI in #healthcare to primarily benefit #patients and address current shortcomings in health care systems such as medical #errors and #access disparities. https://lnkd.in/d4kaUfB6
To do no harm — and the most good — with AI in health care - Nature Medicine
nature.com
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