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GaneshDatta96/README.md

Ganesh Datta · Healthcare AI for US practices and healthtech

I turn healthcare ideas into working AI products and growing practices.

Clinical AI, patient acquisition and operations, built by someone who has shipped clinical decision support in four streams of medicine. From your first intake form to your first 1,000 patients.

Website · Build Journal · LinkedIn · Book a 15-minute call


Healthcare products I've built

Product What it is My role
AyurDoc Clinical software for Ayurvedic practitioners. Intake, live consultation, Pancha Nidana notes and treatment planning in one workflow. Idea, product, code and marketing
THC CDSS Clinical decision support for an integrative practice. AI-assisted assessments for 12-week heart, brain and longevity programs. Product design and the build
CliniqFlow Patient intake and documentation for outpatient clinics. Structured intake before the visit, draft SOAP notes the practitioner approves. Idea, product, code and marketing
Ayuros Clinic management for Ayurvedic practices in the US, with Prakriti, Vikriti and Nadi Pariksha built into the case sheet. Idea, product, code and marketing
Vande group Brand, sites, booking and e-commerce for an Ayurveda clinic group, its stores and its school. Marketing lead

Most of this code is private because it touches patient data or client work. The case studies are on the site, and I'm happy to walk through the code on a call.

Three problems I fix

  • Independent practices: your software doesn't fit how your practice works.
  • Clinic groups and wellness brands: patients find you, then slip away.
  • Healthtech startups: your AI works in the demo, not in the clinic.

How I build

  • Decision support, not decision making. The clinician reviews and signs off on everything the software drafts.
  • Rules before models. Red flags and safety checks are deterministic; AI drafts on top of them.
  • Alongside the EHR, not instead of it. Clinics keep their records system.
  • Patient data stays behind sign-in, kept to the minimum and logged.

The thinking behind it: the Decision Cost Framework, and free tools to score your own workflows.

Open source

  • decision-cost: ten questions that show how much human judgment one workflow spends. Embeddable. Try it
  • clinic-leak-calculator: what a clinic loses each month to unanswered enquiries and no-shows. One file, drop it on any site. Try it

Stack I ship with

Next.js · React · TypeScript · Python · Supabase / Postgres · OpenAI / OpenRouter · Expo · Shopify · Vercel


work@ganeshdatta.me · ganeshdatta.me

Popular repositories Loading

  1. timer timer Public

    A browser stopwatch, published with GitHub Pages.

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  2. GaneshDatta96 GaneshDatta96 Public

    Profile README for Ganesh Datta: healthcare AI for US practices and healthtech.

  3. decision-cost decision-cost Public

    Ten-question Decision Cost score: how much human judgment one workflow spends. Embeddable web component.

    JavaScript

  4. clinic-leak-calculator clinic-leak-calculator Public

    How much a clinic loses each month to unanswered enquiries and unrebooked no-shows. One-file embeddable web component.

    JavaScript