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This thought-provoking presentation on healthcare platforming really got me thinking today. 💡 🌍 Isn’t It Time for a Bold New Vision in Digital Health? 🚀 With billions invested into #HealthTech, why haven’t we seen the transformative change we all expected? Why are we still bound by mega-platforms dictating the rules? Shouldn’t there be an alternative —one that empowers patients, health professionals, and local innovators? Together with Bert Verdonck, Stuart Mackintosh, and many others, I believe there is a better path forward. Instead of concentrating power in the hands of a few, we’re building an open, competitive, and innovative market where control returns to the people who matter most. The current system? Broken.   It’s time for a paradigm shift. Let’s stop feeding tech that only benefits a handful of giants and start creating solutions that serve everyone. 🎯 Our vision: - A collaborative digital health ecosystem where data flows securely and freely. - Innovations that benefit everyone, not just the largest platforms. - Tools that give professionals the freedom to focus on patient care, not paperwork. This isn’t just another tech project. It’s a movement to unearth the best practices and innovations hidden in silos, locked away in fragmented systems. Why settle for a future controlled by mega-platforms when we can create a more equitable, inclusive, and innovative alternative? 🤝 We’re calling on funders, partners, and collaborators to join us in making this vision a reality. Let’s build a healthcare future that works for everyone. Stay tuned. #DHCF #DigitalHealthCommonsFoundation   #DigitalHealth #OpenSource #HealthData #Disruption #FutureOfHealthcare

🔍 𝐃𝐚𝐲 𝟗: 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐊𝐞𝐲 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫𝐬 (𝐊𝐏𝐈𝐬) 𝐢𝐧 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 📊 In healthcare analytics, KPIs play a pivotal role in gauging the effectiveness and quality of patient care. Here are some crucial KPIs: 🏥Re-admission Rates ⚰️Mortality Rates 😊Patient Satisfaction Scores 💊Adherence to Treatment Protocols These insights drive informed decisions for better patient care. 👉 Follow 𝐓𝐡𝐞 𝐖𝐡𝐢𝐭𝐞𝐛𝐨𝐚𝐫𝐝 👍 Like this reel and tag a friend who might be interested 💪Get ready to learn and grow 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬 at +91 9160794975 or mail us at www.thewhiteboard.co.in #HealthcareAnalytics #ClinicalData #KPIs #DataDrivenHealthcare #PatientCare #HealthcareQuality #IntegrityInHealth #TheWhiteboard #Challenge #Healthcare #DataScience #Day9 #TechForGood #MedTech #ClinicalTrials #DataMining #ExploreMore #Healthcare #DataScience

Preventive Healthcare is an emerging trend that continues to show strong growth and is expected to be a $541.36 billion market by 2028. From elder care and digital fitness trackers to AI care assistants and self regulating dosage applicators , everything about patient data in the healthcare space is rapidly evolving. Our clients are approaching us to modernise their traditional Patient 360 approaches to match and capitalise on these market opportunities. In this webinar I share my learnings and experiences on how to innovate your patient 360 landscape - technology , product and people using a #FHIR driven #data product and #domaindrivendesign approach .

#ICYMI: Our VP of Advanced Analytics Pravin Pant, MSHI wrote a piece in Healthcare IT Today discussing how payers and providers can leverage #GenAI to identify #SDOH data and improve patients’ access to #healthcare. Give it a read and let us know how you think GenAI will impact the healthcare industry. 💡 💡 https://lnkd.in/gGZQVCtX

🔝 [BETTER TOP 5 of the year 2023]  🌐 Better Digital Health Platform. It is the foundation of all Better products and solutions.   💡 By separating clinical data from applications, Better Platform offers an open and modular approach to the digitalisation of healthcare.  It is the only healthcare-specific platform on the market comprised of three layers: vendor-neutral data fabric, low-code tools for rapid clinical application development, and user experience components to assemble it all together, including a clinical portal and design system. And it is based solely on healthcare standards openEHR, FHIR, and SNOMED.  💙 With the patient always at the centre, the Better platform delivers on its mission, which is to improve health and care by simplifying the work of care teams and accelerating digital transformation underpinned by data for life.  🚀 And the best part? You can try the Better platform for yourself. Visit this link 🔗 https://lnkd.in/djEcDkFE, and we will get back to you!  #BetterDataBetterCare

I fundamentally disagree. One counterpoint: One of the most successful hospital systems in the world, Mayo Clinic, was also one of the first to create an "integrative medical record", a document which as the name suggests is used to "integrate" health information from different sources. Mayo now uses Epic, and they find that doctors rate EHRs below Excel in terms of usability. I agree with your first point about paper. Here's where I think our disagreement comes from: You see and outline this as incremental forward development. Paper -> EHR -> Etc. In reality (if I may be so bold), Paper -> EHR only encapsulated a small portion of the medical reality. Electronic Health Records do not comprise All Records Used In Heathcare. We are STILL living with paper in many domains of medicine, such as morgues. Bodies are lost or misplaced, tallies are inaccurate, and so forth, to give one raindrop in the ocean of missing information. I do agree that the future is a unified platform. But that platform will not be a progression of EHRs, it start as a reinvention of the paper we started with.

Let me add more meat to my disagreement: Given "Paper stage" (as listed in the PDF) captured a limited scope of medicine, resulting in point solutions, and given EHRs simply added modern ERP features on top, the latter 2 parts are doomed to fail as they're building on a broken foundation. What we need is to understand information. A radical reimagining of what digital health systems ought and must do. I've seen Vince Kuraitis write well about it, so I'm a little surprised by the lack of consideration on the "semantic gap". Unified platforms cannot bridge this gap by building bridges over it. Let me attempt to demonstrate my point: Given datapoints 1...40 ranging from "mother had breast cancer" to "the patient had bouts of diarrhea recently" captured in Medical Records A...B, C...D and E...F is fragmented in the EHR[1] are neutral in their semantic value before the doctor forms a basis for differential diagnosis[2], it's impossible to set a semantic or hierarchical value to this datapoint at the time it is recorded. Instead, the same information must also be entered again and again during the patient's care workflow. First you do a family history at the GP or initial appointment, then you're referred to a specialist who notes this datapoint as useful, and enters it into their EHR again, and so on. For some datapoints such as differential diagnosis using radiological and pharmacological evidence, this effort can span weeks or months and dozens of interactions. Sometimes the information is used over decades. To say this is "fragmented" is to do a disservice. It is unacceptable. We must understand that information has a time dimension. And that doctors must be given the ability to check old information, and to "point to it" when it becomes pertinent to the patient's condition. Instead, the modern health ecosystem is built from the ground-up to frustrate the use of information contained within it. Unified platforms will exist. But they will come from surprising places. Perhaps they will start out as EHRs. [1] the same information may have to be entered in multiple formats for different uses; medical record A1 and C1 may be identical except for one datapoint, and they're separate categories because A...B is radio-oncology while C...D is general practice-cardiology (these examples are frivolous for the purpose of illustration) [2] (mother's breast cancer is relevant for women with specific symptoms, but not men; diarrhea is irrelevant if the patient has a sprain, etc),

Building a Patient 360 is no easy feat. The data is often found across multiple source systems, can follow multiple standards and formats, at varying degrees of quality, and is generally difficult to use together. Learn in this on-demand webinar how a traditional patient 360 built as a network of interoperable data products can tackle this complexity. 💡 Key takeaways include: - Understanding data products and their role in achieving Patient 360. - Exploring diverse use cases across patients, payers, and providers within the modern healthcare landscape. - Introduction to interoperability practices leveraging FHIR (Fast Healthcare Interoperability Resources) standards for enhanced data exchange and integration. Watch the webinar now and feel free to share it with your colleagues! https://ter.li/5qo6jd #HealthcareInnovation #PatientData #Patient360 #Webinar #Interoperability #FHIRStandards #Data #DataProducts

Very interesting conversations at AHIP 2024 with regard to the impact of AI as well as other topics like improving the member experience navigating the healthcare ecosystem. Next few years are going to be transformative. Exciting!!