Healthcare AI, From Pilot to Production

Bitsol takes a working healthcare AI pilot to a HIPAA-compliant, EHR-integrated production system in six weeks, built to pass enterprise security review. The system runs on the client's own cloud, and the client owns all of the code at handover.

See the 6-week plan

Your 6 weeks

  1. Wk 1Assess the pilot, data flows and security gaps
  2. Wk 2Validate with clinical, IT and security teams
  3. Wk 3–5Build the HIPAA-compliant production system
  4. Wk 6Go live with full compliance docs
Pilot to production
6 weeks
Pilot to production
Security, data and integration gaps assessed
Week 1
Security, data and integration gaps assessed
Full code ownership at handover
Your cloud
Full code ownership at handover
27001 & 27701 certified
ISO
27001 & 27701 certified
70%

of healthcare AI pilots never reach production

AI pilots stall

Healthcare organizations are piloting AI across clinical care, revenue cycle and operations. Budget is rarely the blocker.

What stops a pilot is everything around the model: security review, data that isn't ready, integration with existing systems, and too few people who have shipped it before.

That gap between a working pilot and a production system is where Bitsol works.

Why pilots stall

  1. 01
    Failing security review
    The pilot can't pass security review or carry PHI under a BAA.
  2. 02
    Data not AI-ready
    Clinical, lab and device data arrives in shapes models can't use.
  3. 03
    High integration cost
    EHR and workflow integration costs more than the pilot did.
  4. 04
    Lack of in-house expertise
    Few internal teams have taken healthcare AI to production.
Share of AI pilots reaching production
35%providers31%payers24%pharma

Source: Healthcare AI Adoption Index, Bessemer Venture Partners, AWS and Bain & Company, 2025 (400+ buyers).

What Bitsol does about it

Each reason a pilot stalls has an answer built into how we work.

Security & compliance
HIPAA built into the architecture from day one, BAA-ready infrastructure, audit trails and an AI Safety Layer built before product code.
Data readiness
Our Health Data Layer ingests EHR, lab, wearable and patient-reported data and turns it into structured, AI-ready context. About the Health Data Layer →
Integration cost
Proven EHR (FHIR, HL7), PACS, lab and wearable integrations, so connectivity is reused rather than rebuilt.
In-house expertise
A team that has shipped 50+ healthcare products, working on your cloud, with full code ownership at handover.

Pilot to production in 6 weeks

A fixed-scope engagement. You see a clear scope in Week 1 and go live in Week 6.

Deliverables
Production architecture, a PHI data-flow map and a working pilot.
Outcome
A clear scope before full commitment.

Shipped to production, proven

AI and healthcare products we have taken all the way to production.

CareCortex · AI workflow layer on the EHR

Challenge: Clinical staff lost time to fragmented data, inconsistent documentation and repetitive EHR tasks.

Solution: An AI layer that works alongside the existing EHR: real-time decision support, note refinement and automated routine tasks, without disrupting workflows.

View case study
37%
faster documentation
Seconds
to reach critical patient information

Khalisa

Perimenopause platform for women 35 to 55: patient app, clinician portal and admin console, turning symptoms, cycles and wearable data into AI predictions.

71
symptoms tracked
80%
of Rx reviewed by a clinician
Weekly
personalized AI predictions

Doulio AI

A compliant doula workforce platform for healthcare and community organizations: onboarding, certification tracking, charting, LMS and analytics.

Week 1
to a working pilot
1st
B2B client signed before launch
8 weeks
kickoff to production

Trusted across healthcare

Johns Hopkins
Five Epic-integrated platforms, including kidney care, kidney donation and breast cancer.
Mayo Clinic
SkinSAFE: ingredient-checking platform built with HER Inc., with science-backed safety ratings.
Vie Science
Reproductive health platform with pillar-based scores, daily action plans and an AI knowledge base.
“Bitsol has truly operated as an extension of our team. They took complex reproductive science and translated it into an intuitive, scalable product without losing the scientific rigor behind it.”
Carmen Messerlian, Vie Science

Where this solution fits

Healthcare AI Pilot to Production is for an AI pilot you already have. We take it to HIPAA-compliant, EHR-integrated production in 6 weeks, on your cloud, built to pass enterprise security review. It runs on our Health Data Layer.

Questions teams ask before starting

Most pilots stall on everything around the model, not the model itself: security review, PHI handling under a BAA, data that is not AI-ready, and EHR and workflow integration. Week 1 maps exactly which of these is blocking yours, before you commit to the full build.

Relevant Case Studies

Clinical AI1+ year ongoing partnership

CareCortex End-to-End AI Operating System for Healthcare

AI workflow layer integrated with existing EHR real-time clinical decision support, AI-assisted note generation, routine task automation, and seamless data access. PHI-safe from day one.

View case study
Women's & Maternal

Khalisa by Evia Wellness Cycle-Aware Hormone Intelligence Platform

Built a clinician-supervised platform that treats the female hormone cycle as a vital sign a patent-pending hormonal digital twin that unifies wearables, symptoms, labs and medical records into one system, with Claude running on Amazon Bedrock inside Evia's own AWS account. Not a period tracker. A clinical intelligence platform.

View case study
Clinical AI8 weeks engagement

Thymos Health AI Medical Chatbot for Conservative Care

PHI-safe RAG-powered AI chatbot integrated with Oyster EHR scoped patient data retrieval, emergency detection with auto-escalation, and full HIPAA-compliant AWS infrastructure. Real patient data in production.

View case study

Other solutions that might fit

Not sure this is the right engagement? Here are the other options.

8-Week Clinical AI Build
No AI pilot yet? A production clinical AI system built from scratch in 8 weeks: PHI-safe architecture, an AI Safety Layer and clinical validation with your team.
Explore this solution →
8-Week HIPAA-Compliant MVP Launch
Building a product, not an AI system? Take an idea, prototype or product pilot to HIPAA-compliant production in 8 weeks or less.
Explore this solution →
Healthcare Product Acceleration
Product already live? A forward-deployed healthcare engineering pod that keeps shipping features, AI and compliance.
Explore this solution →

Is your AI pilot stuck?

  • Your pilot works but can't pass security review or BAA requirements
  • Your model underperforms on real patient records
  • You need to prove ROI before scaling
  • Your data won't integrate with the EHR, labs or devices
  • You have no internal team to take it to production

If any of these apply, let's map your 6-week path to production.

See Our Work