Plus91 @plus91

🏥 Capacity-building in action across Tripura! Healthcare professionals are being trained on the Integrated Health Management Information System (IHMIS) to strengthen digital healthcare delivery, streamline hospital workflows, and enhance patient services.

2026 State of AI Receptionists in Medical Practice | @scoopit sco.lt/6PX8sK

Is a do NOHARM moment coming for AI in Healthcare? The status and future of AI in clinical diagnosis ... and the future of doctors (and other healthcare professionals) and medicine itself? 🔗nature.com/articles/d4158… #ResponsibleAI

There's no such thing as a small assignment once you've decided excellence is the standard. Everything either reinforces the reputation or chips away at it.

The Myth of the 'Careful Tech': Why Manual Entry is Failing Your Pathology Lab @plus91 by Prajakta Joshi linkedin.com/posts/prajakta…

🚀 Tripura IHMIS Pilot Go-Live | 01 June 2026 ✅ 1,774 Registrations ✅ 967 Scan & Share Transactions ✅ 714 ABHA Linkages 🏥 IGM Hospital Agartala | DH Gomati | Tripura Sundari SDH | Bishalgarh SDH A major step towards digitally empowered healthcare in Tripura.

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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.