Patient Engagement Platforms

Women’s Health = $100B opportunity, Goodbye Dr. Google…Hello Dr. Reddit, Women spend 30% more on Rx than men, and more 📬 Women’s Health Weekly Round-Up: 5 thought provoking headlines this week (links in comments)! 1️⃣) The Prescription Drug Gender Divide: Women Spent Over $8.5 Billion More Than Men in 2024 (GoodRx): New analysis reveals that women spend nearly 30% more on out-of-pocket prescriptions than men, with women 18-44 facing the steepest gap (64% more). My thought bubble: Grateful for platforms like GoodRx shedding light on this outsized cost. But now that we know, what do we do about it? Where else are there opportunities to right the “pink tax” imbalance? Would love to hear your ideas. 2️⃣) How Reddit Empowers Women’s Health Report (Weber Shandwick): Women’s health discussions increased 37% on Reddit from 2023 to 2024. Notable rises in subtopic discussions include: perimenopause (+188%), menopause (+82%), ovarian cysts (+186%), pelvic exams (+218%) and more. My thought bubble: In the war for online trust and attention, Reddit has emerged as a trusted community for women’s health. With AI models prioritizing Reddit content to inform their search results, Reddit is a formidable online platform that brands – and the broader health ecosystem – should not be sleeping on in 2025. 3️⃣) Improving Women’s Health is a $100 Billion–Plus Opportunity (Boston Consulting Group (BCG)): Another excellent report from BCG outlining the massive economic market opportunity in women’s health by 2030 across four key conditions: menopause ($40B), osteoporosis ($27B), Alzheimer’s disease ($20B), and CVD ($20B). My thought bubble: If we want to make progress in women’s health, it’s not enough to highlight poorer outcomes or what “should” exist. We NEED to focus on economic and financial opportunity. Bravo to BCG for driving that conversation. 4️⃣) Strategies for Overcoming Barriers in Access to Cardiovascular Care for Women (JAHA — Journal of the American Heart Association): A thoughtful and actionable breakdown of 5 key areas to improve cardiovascular care for women across insurance, geographic barriers, and more. My thought bubble: Heart disease is the number one killer of women in the US, yet our healthcare system is not built to support, educate or care for women. Love this action-oriented guide to improve heart health. 5️⃣) Breast Cancer Outcomes With Vaginal Estrogen (Physician's Weekly): New study reveals that vaginal estrogen use in survivors of breast cancer does not correlate with elevated risks of recurrence, breast cancer-specific mortality, or OA mortality. My thought bubble: We’re 20 years+ post-WHI, and most women believe that estrogen – both local and systemic – causes breast cancer. It’s critical that we spread the word on studies like these so women know that local estrogen is safe, even for breast cancer survivors. 🙏Did this spark something for you? Share with your networks & comment below – I’d love to hear from you!

Hospital-at-Home (#HaH) is no longer a futuristic care model; it’s already delivering better outcomes, lower costs, and higher patient satisfaction! Yet, despite its promise, HaH still faces uphill battles: - The need for regulatory clarity and #waiver extensions. - The challenge of continuously evolving clinical #workflows. - The critical need to scale with precision—finding the right patient at the right time. That’s why this recent paper caught my eye: “Collaborative development of a rules-based EHR algorithm for HaH eligibility” (Liu et al., 2025). The team at Atrium Health developed a rules-based algorithm (RBA) that integrates with the #EHR and surface eligibility identification for HaH. Over 12 months: - HaH admissions identified by the algorithm increased from 7% to 60%!!! - Number Needed to Screen (NNS): With RBA: 12 (≈60 min of chart review per enrolled patient). Without RBA: 62 (≈310 min per enrolled patient). - Time saved per enrolled patient: ~4 hours of clinician time! With this clinical decision support (#CDS) tool in place, it can streamline patient throughput by facilitating faster enrolment and identification, and improve operational efficiency and patient outcomes. #HospitalatHome #ClinicalInformatics #CareDelivery #HealthIT #HealthInnovation #HealthcareonLinkedin #HaHWaiver

AI is quietly fixing the #1 pain point in Clinical Workflows. Electronic health records promised efficiency. They delivered frustration. Clinicians spend hours clicking through poorly designed interfaces. Documentation time now exceeds patient time. What happened to the promise of streamlined care? This is where AI integration changes everything. Imagine voice-to-text that actually works in clinical settings. Picture automatic note generation from patient conversations. Consider intelligent systems that pull relevant history without endless scrolling. Envision predictive analytics that highlight potential diagnosis paths. AI-enhanced EHRs learn from usage patterns. They adapt to individual provider workflows. Data interoperability becomes seamless when AI bridges legacy systems. Clinical decision support appears exactly when needed, not buried in alerts. Time returns to patient care instead of keyboard documentation. Quality improves as structured data becomes truly useful. Early adopters report saving 1-2 hours daily on documentation tasks. Physicians describe "rediscovering joy" in practice when freed from EHR burden. Patient satisfaction scores rise when doctors maintain eye contact instead of focussing on screen. The transformation happens invisibly. Good technology disappears into the background. Tomorrow's healthcare looks remarkably human despite advanced technology. We stand at the intersection of clinical expertise and computational power. What would you do with an extra hour each day?

A few years ago a colleague and I scraped 700,000 tweets from people with Type 1 diabetes. We wanted to know what they actually talked about — not what surveys told us they talked about. These are different things. Here's the standard way you'd study an online health community: you design a survey. You decide in advance what categories matter — adherence, support, stigma, education. You ask people to rate things on a scale. That's both tidy and defensible... and largely useless if your categories were the wrong ones to begin with. The problem is that your survey can only ask about what you've already thought to ask about. It can't surprise you. By the time you've designed it, you've decided what the answer is going to look like. Topic modeling on a corpus that big does the opposite. You don't tell it what to look for. You let the structure emerge from what people actually said in their own words. We pulled six topics out of the corpus. Most were what you'd expect — daily management, clinical research, awareness organizations. Two were not. The first was insulin pricing. It was one of the largest topics in the data — people rationing doses, comparing prices across borders, organizing around #insulin4all. This was 2008–2020 data; for most of that window, the standard T1D quality-of-life surveys weren't asking about cost-of-medication as a major life concern. The community was talking about it constantly. The second was the #wearenotwaiting movement — people with T1D who got tired of waiting for medical device companies to ship a closed-loop insulin pump, so they built their own. DIY artificial pancreas. Open-source code. Sharing patches with each other on Twitter. That's not in any patient survey I've seen, nor is it in the clinical literature. It only shows up when you let people tell you what they're doing. (By the way, this is consistent with informal conversations I've had with people with T1D: DIY diabetes technology that's rampant but virtually ignored by researchers.) This is what I tell PMs and product researchers all the time. Your survey is asking about the experience you designed. It cannot tell you about the experience you didn't think to design for. The 700K tweets were the equivalent of opening a giant suggestion box nobody knew existed and reading what was already inside. The measurement comes first. And the measurement is almost always doing more (and less) than you think it is.

Epic has introduced a new solution that’s set to revolutionize the way payers and providers work together: the Epic Payer Platform. This innovative platform is designed to enhance collaboration, streamline processes, and ultimately improve patient care. 1. Seamless Integration with Epic EHR The Epic Payer Platform is fully integrated with Epic’s EHR system, allowing payers to access real-time clinical data directly from providers. This integration breaks down traditional barriers, enabling more efficient and informed decision-making without the usual delays associated with data sharing. 2. Improved Care Coordination With the Payer Platform, payers can collaborate more effectively with providers on care management and population health initiatives. By having access to comprehensive patient records, payers can assist in coordinating care that is truly patient-centered, ensuring that all stakeholders are on the same page. 3. Streamlined Utilization Management Utilization management processes become much more efficient with the Epic Payer Platform. Payers can review and approve prior authorizations, monitor care plans, and evaluate the necessity of procedures or treatments in real-time. This not only speeds up the approval process but also reduces the administrative burden on providers. 4. Enhanced Transparency and Data Sharing The platform fosters transparency between payers and providers by providing shared access to clinical data, which helps in reducing misunderstandings and discrepancies. This shared data environment supports better collaboration on patient outcomes, quality measures, and value-based care models. 5. Advanced Analytics and Reporting Epic’s Payer Platform includes robust analytics tools that allow payers to analyze trends, manage risk, and track performance against benchmarks. These insights are critical for driving strategic decisions, improving care quality, and optimizing costs. 6. Patient Engagement and Experience The platform also supports efforts to enhance the patient experience by enabling more proactive and personalized care. Payers can use the platform to engage patients directly, offering support for care adherence, managing chronic conditions, and providing education and resources tailored to individual needs. 7. Future-Proofing Healthcare Collaboration As healthcare continues to evolve towards more integrated and value-based models, the Epic Payer Platform positions payers and providers to be at the forefront of this transformation. The platform’s capabilities will grow with future updates, making it a long-term solution for modern healthcare challenges. Why It Matters: The Epic Payer Platform represents a significant step towards breaking down the silos that often exist between payers and providers. By fostering greater collaboration, reducing administrative complexities, and enhancing care coordination, this platform is poised to play a crucial role in the future of healthcare.

💫 IPS-on-openEHR: At the bottom is a link to a clickable demo, showcasing International Patient Summary dashboard fetched from live openEHR CDRs from 4 different vendors. At yesterday's EHDS & IPS-focused openEHR plugathon, I showed a live end-to-end demo of what interoperability can look like when openEHR and FHIR each play a role in a hybrid architecture, furthermore in combination with IHE standards. The demo site available showcases a real-time International Patient Summary dashboard powered by openFHIR. What it does: (1) openEHR → FHIR, on demand (+ FHIR → openEHR for initial population) Clinical data lives in an openEHR CDR, but is exposed via $summary FHIR operation (openFHIR taking care of the magic) (2) IPS rendered from dispersed systems with technical background The same summary is shown two ways: a clean view (conditions, allergies) and a technical dashboard showing every request, response times, and the full data flow architecture. (3) Multi-CDR support Easy switch between openEHR sources. See exactly where the data is coming from, and send it back - the "discrete fetch" lets you pull structured data directly from any connected openEHR CDR (QEDm on openEHR). Integrated sources are live openEHR CDRs from Better, Cadasto, freshEHR and a local EHRBase instance (vitagroup). (4) Full traceability Every API call is logged and every transformation is visible at the bottom with "traces". Try it yourself 👉 https://ips.open-fhir.com Big thanks to the IHE International and openEHR International for organizing a plugathon where this kind of cross-community work actually gets tested against real implementations. #openEHR #FHIR #digitalhealth

Embedding LLMs directly into the EHR let clinicians access the full patient timeline in real time, improving documentation efficiency while enabling continuous monitoring of accuracy and workflow impact. 1️⃣ A new EHR‑integrated system connected LLMs to the full longitudinal patient timeline, removing the need to copy or paste chart data. 2️⃣ The platform supported fixed automations for tasks such as pre‑visit summaries, transfer screening, and event detection. 3️⃣ It also offered an interactive chat‑style interface inside the EHR for free‑text clinical questions, summaries, and record review. 4️⃣ Early pilots showed high usability for pre‑visit history summaries and highlighted the importance of specialty‑specific prompt design. 5️⃣ Automated outputs showed low but measurable error rates, mostly related to timing, numerical values, and attribution details. 6️⃣ More than 1,000 clinicians adopted the interface within months, generating over 23,000 sessions across diverse specialties. 7️⃣ Summary generations averaged 0.73 hallucinations and 1.60 inaccuracies, with half containing zero or one unsupported claim. 8️⃣ Continuous monitoring of integrity, performance, and impact was necessary because benchmark testing did not reflect real‑world use. 9️⃣ Operational value was estimated at $6M in the first year, largely from documentation time savings and improved patient‑flow processes. 🔟 Embedding the AI team in IT and using a responsible AI governance framework enabled safe scaling without dependence on external vendors. ✍🏻 Nigam Shah, Nerissa Ambers, Abby P., Timothy Keyes, Juan M. Banda, Srikar Nallan, Carlene Lugtu MCiM,RN, Artem A. Trotsyuk, Suhana Bedi, Alyssa Unell, Miguel Fuentes, François Grolleau, Sneha Shah Jain, MD, MBA, Jonathan Chen, Devdutta Dash, Danton Char, Aditya Sharma, Duncan McElfresh, Patrick Scully, Vishanthan Kumar, Connor O’Brien, Satchi Mouniswamy, Elvis Jones, Krishna Jasti, Gunavathi Mannika Lakshmanan, Sree Ram A., Varun Kumar Singh, Ramesh Rajmanickam, Sudhir Sinha, Vicky Zhou, Xu Wang, Bilal M., Joshua Ge, Wencheng Li, Travis L., Jarrod Helzer, Vikas Kakkar, Ramesh Powar, Darren Batara, MS, BSN, RN, CPHIMS, Cheryl Cordova, William Frederick III, Olivia Tang, Phoebe Morgan, RN, MSN, ACM, April S. Liang, Stephen P. Ma, Shivam Vedak MD, MBA, Dong‑han Yao, Akshay Swaminathan, Mehr Kashyap, Brian Ng, Jaime Hellman Jamieson, Nikesh Kotecha, Christopher Sharp, Gretchen Brown, Christian Lindmark, CDH-E, CPHIMS, RCDD, Anurang Revri, Michael Pfeffer. Adoption and Use of LLMs at an Academic Medical Center. arXiv. 2026. DOI: 10.48550/arXiv.2602.00074

Unsure how I missed it, but Epic just dropped an API for patients on the 5th of this month!! Patients can finally connect their health records to apps outside the Epic system, like health coaches and exercise apps. The feature I like the most, is educational clarity. Then the API enable patients to know whether their authorized data exchanges are covered by HIPAA or not. I see this as a huge first step toward the decentralization of healthcare data and a shift in EHR ownership toward the individual. Once patients can easily transfer their data between providers, apps, and services; centralization will be disrupted. And in the case of digitally native citizens (Zoomers and onwards), who will have most of their health data generated via consumer apps rather than stationary EHR records, the question becomes: What makes an EHR, and who owns it? the inability of my generation to predict the future is what makes these times highly exciting! https://lnkd.in/eVWqC5GK

Turns out Sharon from Wisconsin is better at treating throat problems than I am. A patient walked into my office last week and said, "I need to tell you about this thing I learned from this woman in Wisconsin." This nice lady, apparently, has the same throat condition as my patient… (acid reflux)  and she figured out that sleeping with three pillows instead of two completely eliminated her morning symptoms. My patient tried it. Boom… Problem solved after six months of me throwing different medications at her. I should probably be offended, but I actually find it fascinating. We spend a lot of time warning patients about Dr. Google turning every cough into lung cancer, it’s true. And Dr. Google CAN and IS regularly wrong. But amongst all the caution, we’ve missed the bigger picture: Patient communities are quietly becoming some of the smartest healthcare resources on the planet. I’m not talking about dodgy Facebook groups sharing essential oil cures. I'm talking about real, structured communities where people with the same conditions share what actually works in their own lives, not just what works in clinical trials. A recent study showed patients in these communities had 23% better medication adherence and fewer emergency visits. But the numbers don't capture what's really happening - they're solving problems that doctors never even think to ask about. Like how to open pill bottles when you have rheumatoid arthritis. Or which grocery stores are most wheelchair accessible. Or how to explain your chronic fatigue to your boss without sounding like you're making excuses. The migraine community mapped trigger patterns that helped researchers discover new treatments. The diabetes community was hacking continuous glucose monitors YEARS before most endocrinologists knew they existed. Smart hospitals are starting to get it. Instead of competing with patient communities, they're partnering with them. The Mayo Clinic created structured forums where patients can get peer support with actual clinical oversight. My throat patient is doing better than she has in months, thanks to Sharon's pillow strategy and a community that gets what she's going through when her symptoms are worst. I say it’s time we stop fighting patient communities and start working with them.