Plus91

Plus91's CEO Aditya Patkar felicitated at the NABH Patient Safety Conference - Digital Health Champion @QualityCouncil @NABH_QCI @adityapatu #hcsmin #healthIT sco.lt/7xqNkm

Designing a Carbohydrate Counting App for Young Adults With Type 1 Diabetes: Usability Testing Interview Study #healthIT #ehealth nn4.in/4thV0aZ -

The Effectiveness of Contact Tracing to Reduce Transmission of Infectious Diseases During Epidemic or Pandemic Response: Rapid Systematic Review #healthIT #ehealth nn4.in/4v8rbvu -

Full breakdown by @ksg91 here 👇 lnkd.in/gfnTS9BW #HealthTechIndia #ABDM #AIinHealthcare #DigitalHealth

🧵 India did something in 6 weeks that no other country has pulled off. Most people missed it. Here's what happened. 👇

The question is no longer: "Can India build good medical AI?" The right question is: "Can India run validated, governed, trustworthy AI across a deeply uneven health system at scale?" That's a system design problem. And India is the only country with all the pieces in place.

2026 is the year India stopped treating healthcare AI as an experiment. → 27% reduction in adverse TB outcomes → 282M eSanjeevani consultations with AI-assisted diagnosis → 12–16% additional TB case detection via Cough Against TB

The rails are already built. → 86.64 Cr ABHA accounts → 90.70 Cr health records linked → 2.56 lakh facilities on ABDM-enabled software AI without these rails is just a feature. But, AI on top of them is an operating system.

Same day, BODH launched alongside it. A federated AI benchmarking platform. Developers train on real Indian health data without touching raw patient records. Strategy + implementation infrastructure. Shipped the same day.

Feb 17 — India launched its national healthcare AI strategy (SAHI). The third principle alone is explosive: "Responsible innovation should be prioritised over cautionary restraint." The EU built a compliance fortress. India just said: innovation comes first. No LMIC health strategy has ever done this.

Come meet us today! -at the India AI Impact Summit AWS Booth No. 4.10 📍Bharat Mandapam, Pragati Maidan | New Delhi Watch our newest AI tool, BHAIRAV AI, live in action: Ambient AI for doctors AI Doctor for patients. @adityapatu @rai.divs @OfficialINDIAai #AIImpactSummit2026 #BhairavAI #NewDelhi #HealthTech #HealthAI [Digital Health, Responsible AI, Future of medicine, AI in Healthcare, Doctor tools] instagram.com/p/DU9-HtxFpVp/…

Steve Jobs on doing the work:

Your future is shaped by how you spend your boring hours.

Web Scraping is dead. Web Agenting is here. Writing selectors (div > .class > span) breaks every time a site updates. Building custom bots for every new target is a waste of engineering hours. TinyFish turns the entire real-time web into a single API. Input: Natural Language ("Find availability for X"). Target: 1 or 100 URLs. Output: Structured JSON. This isn't a simulation. It visits the Real-Time Web. 1./ One API, Many Sites - Same contract whether you hit 1 URL or 50. You focus on the Goal (Business Logic). TinyFish handles the How (Navigation, Clicks, Inputs). 2./ Real Automation - It doesn't just "read." It interacts. It fills forms, navigates multi-step flows, and handles dynamic JS content. 3./ Production Ready - This is the same infrastructure used by large enterprises, now exposed as a clean developer primitive. Logs, error handling, and structured data are built-in. The web is finally a proper API.

NEW: Bessemer's healthtech trends for 2026 Here are the 7 predictions: 1. Payers will rush to catch up on admin AI. Providers have already used AI to improve coding, claims, and appeals. Payers will respond by adopting AI across their admin stack to protect margins. 2. Clinical AI will scale first in triage and risk. The fastest growth will be clinician-in-the-loop use cases like pre-visit risk stratification, inpatient deterioration prediction, triage support, and referral matching. 3. CMS will push on clinical AI reimbursement. Payment models are the biggest blocker for clinical AI. In 2026, expect CMS pilots and targeted codes that support AI-assisted diagnosis, prevention, and chronic monitoring. 4. Cash-pay consumers will adopt clinical AI fastest. Consumers will pay out of pocket for faster access, better guidance, and improved screening, creating an AI-first market that moves ahead of reimbursement. 5. AI second opinions will become a breakout wedge. Direct-to-consumer imaging reads and specialty second opinions will grow because the value is clear, the stakes are high, and the buyer is motivated. 6. Health AI data infrastructure will heat up. More startups will build healthcare-specific data and workflow rails for AI, but winners will need clear differentiation and recurring revenue, not one-time data deals. 7. Value-based care will get a real reboot. AI makes engagement and monitoring cheaper and more scalable, enabling a new generation of VBC companies built around AI from day one.

BREAKING NEWS! Using AI leads to earlier breast cancer diagnosis! A study of over 100,000 women found that the use of AI in breast cancer screening reduces the rate of cancer diagnosis by 12% in subsequent years and leads to a higher rate of early detection! "𝐼𝑡 𝑖𝑛𝑣𝑜𝑙𝑣𝑒𝑑 𝟣𝟢𝟢,𝟢𝟢𝟢 𝑤𝑜𝑚𝑒𝑛 𝑖𝑛 𝑆𝑤𝑒𝑑𝑒𝑛 𝑤ℎ𝑜 𝑤𝑒𝑟𝑒 𝑝𝑎𝑟𝑡 𝑜𝑓 𝑚𝑎𝑚𝑚𝑜𝑔𝑟𝑎𝑝ℎ𝑦 𝑠𝑐𝑟𝑒𝑒𝑛𝑖𝑛𝑔 𝑎𝑛𝑑 𝑤𝑒𝑟𝑒 𝑟𝑎𝑛𝑑𝑜𝑚𝑙𝑦 𝑎𝑠𝑠𝑖𝑔𝑛𝑒𝑑 𝑡𝑜 𝑒𝑖𝑡ℎ𝑒𝑟 𝐴𝐼-𝑠𝑢𝑝𝑝𝑜𝑟𝑡𝑒𝑑 𝑠𝑐𝑟𝑒𝑒𝑛𝑖𝑛𝑔 𝑜𝑟 𝑡𝑜 𝑎 𝑠𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝑟𝑒𝑎𝑑𝑖𝑛𝑔 𝑏𝑦 𝑡𝑤𝑜 𝑟𝑎𝑑𝑖𝑜𝑙𝑜𝑔𝑖𝑠𝑡𝑠 𝑏𝑒𝑡𝑤𝑒𝑒𝑛 𝐴𝑝𝑟𝑖𝑙 𝟤𝟢𝟤𝟣 𝑎𝑛𝑑 𝐷𝑒𝑐𝑒𝑚𝑏𝑒𝑟 𝟤𝟢𝟤𝟤. 𝑇ℎ𝑒 𝐴𝐼 𝑠𝑦𝑠𝑡𝑒𝑚 𝑤𝑜𝑟𝑘𝑒𝑑 𝑏𝑦 𝑎𝑛𝑎𝑙𝑦𝑠𝑖𝑛𝑔 𝑡ℎ𝑒 𝑚𝑎𝑚𝑚𝑜𝑔𝑟𝑎𝑚𝑠 𝑎𝑛𝑑 𝑎𝑠𝑠𝑖𝑔𝑛𝑖𝑛𝑔 𝑙𝑜𝑤-𝑟𝑖𝑠𝑘 𝑐𝑎𝑠𝑒𝑠 𝑡𝑜 𝑎 𝑠𝑖𝑛𝑔𝑙𝑒 𝑟𝑒𝑎𝑑𝑖𝑛𝑔 𝑎𝑛𝑑 ℎ𝑖𝑔ℎ-𝑟𝑖𝑠𝑘 𝑐𝑎𝑠𝑒𝑠 𝑡𝑜 𝑎 𝑑𝑜𝑢𝑏𝑙𝑒 𝑜𝑛𝑒 𝑏𝑦 𝑟𝑎𝑑𝑖𝑜𝑙𝑜𝑔𝑖𝑠𝑡𝑠, 𝑎𝑠 𝑤𝑒𝑙𝑙 𝑎𝑠 ℎ𝑖𝑔ℎ𝑙𝑖𝑔ℎ𝑡𝑖𝑛𝑔 𝑠𝑢𝑠𝑝𝑖𝑐𝑖𝑜𝑢𝑠 𝑓𝑖𝑛𝑑𝑖𝑛𝑔𝑠 𝑡𝑜 𝑠𝑢𝑝𝑝𝑜𝑟𝑡 𝑟𝑎𝑑𝑖𝑜𝑙𝑜𝑔𝑖𝑠𝑡𝑠." AI this way, enters the realm of evidence-based medicine. Such trials and studies will help the technology become part of everyday care. This is PROGRESS. The study: thelancet.com/journals/lance…

Analyzing the future of medicine and healthcare, especially during the rise of digital health and artificial intelligence, should rely on established futures methods that the discipline of futures studies has been using for decades. By employing such methods, healthcare professionals, policymakers and patient leaders could better navigate the complexities of modern healthcare, anticipate emerging challenges, and shape a future that is not just awaited but actively constructed. The paper in npj Digital Medicine: nature.com/articles/s4174…

You don’t suddenly wake up disciplined. You slowly become predictable to yourself. When your actions start matching your words consistently, self-trust replaces motivation. That’s when everything gets easier.

Repetitive negative thinking is associated with cognitive decline. Repetition rewires the brain.

📲If you are a health tech innovator, you can also integrate your #healthtechapp with #ABDM. 👉Check our Sandbox process to start #ABDM_integrations: sandbox.abdm.gov.in/sandbox/v3/ 🔗Complete list of the 400 #ABDMenabledApplictions: abdm.gov.in/our-partners

What are the weaknesses of developing a web application in React instead of using jQuery with Html5 and a Python backend ? #unpopularopinion #WebDevelopment webdevelopertoolbox.blogspot.com/2026/01/what-a…