A healthtech AI app rescue closes the seven HIPAA-shaped gaps every AI-built healthtech MVP ships broken — non-BAA hosting, no PHI audit trail, PHI in analytics, RLS off on patient tables, no MFA, no backup plan. Three-day HIPAA AI app audit from $499, fixed price, senior engineers with BAA coverage.
A HIPAA AI app rescue and a healthtech Cursor fix converge on the same seven patches. The order below is how we ship them before a pilot patient sees the app.
Every AI builder defaults to the Supabase free tier and a standard Vercel account. Neither signs a BAA. The moment PHI hits that database, you are non-compliant. A HIPAA AI app rescue migrates to a BAA-signed tier (Supabase Team + BAA, AWS + BAA, Aptible), rewires the connection strings, and verifies storage encryption at rest.
A healthtech Cursor fix almost always starts here. HIPAA §164.312(b) requires an audit trail for every PHI access. AI-generated code has none. We install a per-request audit middleware that logs actor, action, resource, timestamp, and outcome to an append-only table with retention set to six years.
Patient names, dates of birth, and diagnosis codes end up in PostHog, Sentry breadcrumbs, and Next.js console logs because the generator did not strip them. We add a PII/PHI redaction layer on every observability integration, scrub logs, and block any request body logging on routes that touch PHI.
Supabase RLS is off on patients, encounters, and clinical_notes in most AI-built healthtech scaffolds. The anon key reads any patient row. We enable RLS, write clinician-to-patient assignment policies, add a CI test that fails the build on unprotected PHI tables, and scope the service-role client to a single server context.
HIPAA demands reasonable access controls. That means MFA for anyone who touches PHI, session rotation on every privilege elevation, and a password policy that meets NIST SP 800-63B. AI-generated auth ships none of it. We add TOTP MFA, rotate cookies on sign-in, enforce absolute session lifetime, and log every authentication event.
HIPAA §164.308(a)(7) demands a data backup plan, a disaster recovery plan, and an emergency mode operation plan. AI-built scaffolds have none. A healthtech AI app rescue installs daily encrypted backups, a restore runbook tested on a staging environment, and a documented retention schedule (PHI: six years minimum from creation or last use).
AI-generated patient messaging uses Twilio or SendGrid directly without BAA-signed sub-processors and without PHI redaction. An SMS appointment reminder with a diagnosis is a disclosure. We move to BAA-signed messaging providers, redact PHI from outbound content, and add a per-patient preferred-channel preference stored in a BAA-compliant store.
HIPAA is not a checklist the AI builder can satisfy by default. The HIPAA Security Rule (§164.308, §164.310, §164.312) mandates administrative, physical, and technical safeguards. Technical safeguards alone demand access control, audit controls, integrity, person or entity authentication, and transmission security. AI-generated scaffolds do not ship those primitives. The HHS HIPAA Security Rule is the canonical reference; every finding we close maps to a subsection.
BAA coverage is the first structural finding on every healthtech rescue. Supabase free tier does not offer a BAA. Vercel Hobby does not offer a BAA. PostHog Cloud and Sentry Cloud default to non-BAA plans. Every one of those ends up in a healthtech AI scaffold because that is what the builder defaults to. PHI hitting any of them is a breach condition. We migrate to a BAA-signed combination (Supabase Team with BAA addon, AWS with BAA, Aptible, or equivalent), swap analytics to a BAA-signed provider, and make Sentry + BAA the only error-tracking destination that ever sees a request body.
Pilot pressure is the other half of the picture. Most healthtech rescues land in our inbox two to six weeks before a scheduled pilot — a clinic signed the MSA, the startup is contractually bound to be operational on a date, and the Lovable or Bolt scaffold is eight weeks from HIPAA-defensible. We scope rescues against the pilot calendar. If the pilot is four weeks out, we fast-track BAA migration, audit log, RLS, and MFA as the Critical path and defer backup testing and retention tuning to post-launch. If the pilot is eight weeks out, we ship the full playbook. A security hardening expert owns the sequence.
Sarah is a clinical psychologist who built a telehealth intake app on Lovable. A clinic network signed an MSA contingent on HIPAA compliance within eight weeks. Her app collected patient names, dates of birth, insurance numbers, and a free-text history field. It stored everything in Supabase free tier. It sent appointment reminders via Twilio without a BAA. Every page was instrumented with PostHog. She had done the right thing building a demo; the scaffold was not pilot-defensible.
Week one of the healthtech AI app rescue: we migrated the database from Supabase free to Supabase Team with BAA, rewrote the connection strings, verified encryption at rest, and signed the BAA with Supabase. We removed PostHog from every page that touched PHI and wired a BAA-signed analytics provider for product events on non-PHI routes. We moved Twilio to a BAA-signed SMS provider (Twilio does offer BAA on its HIPAA-compliant tier) and redacted any clinical content from outbound messages.
Week two of the healthtech Cursor fix: we installed a per-request audit trail middleware writing actor, action, resource, timestamp, and outcome to an append-only table with six-year retention. We enabled Supabase RLS on patients, encounters, and notes, wrote clinician-to-patient assignment policies, and added the CI test that fails the build on unprotected PHI tables. We added TOTP MFA and session rotation on every clinician account. We wired daily encrypted backups with a tested restore runbook. Sarah ran the clinic pilot on schedule six weeks later. Total engagement was $7,499 fixed, twelve business days.
Written finding list against §164.308 and §164.312. BAA gap, PHI exposure, audit trail, RLS, MFA, and backup posture. PDF + Loom deliverable.
MFA, session rotation, RLS on patient tables, Supabase Team + BAA migration or AWS + BAA migration. Fixed scope.
Close every HIPAA Critical in a single week: BAA migration, PHI audit log install, RLS, MFA, PHI redaction. Fixed $3,999.
End-to-end HIPAA rescue: BAA migration, audit log, encrypted backup, restore runbook, BAA-signed messaging, Playwright suite. From $7,499.
The playbook for a regulated Lovable scaffold: migrate to a BAA-signed stack, install audit logging and RLS, wire MFA, and ship the Playwright regression suite that guards the PHI access paths before the clinic partner clears the go-live.
A healthtech AI app rescue covers the seven patches HIPAA asks for on an AI-built healthtech MVP: BAA-signed hosting migration, PHI audit trail middleware, redaction across logging and analytics, row-level security on clinical tables, MFA and session rotation, encrypted backup with a tested restore, and BAA-signed patient messaging. Scope starts with a three-day audit at $499 and rolls into a fixed-price remediation quote.
Not without a healthtech Lovable rescue first. Lovable defaults to the Supabase free tier and does not sign a BAA — the moment PHI hits that stack you are out of compliance. Lovable also does not install audit logging, does not enable RLS on patient tables, and does not redact PHI from its scaffolded analytics snippet. A three-to-seven-day HIPAA AI app rescue closes those gaps before the first pilot patient lands.
Yes. A healthtech Cursor fix typically starts with an audit against HIPAA §164.312 (technical safeguards) and §164.308 (administrative safeguards): encryption at rest, access controls, audit controls, integrity, transmission security, backup, contingency, incident response. We produce a written finding list per section and a fixed price to close each. Cursor-generated code is usually more tractable than fully AI-builder-generated because the structure is tighter.
A Business Associate Agreement is the contract HIPAA requires between a covered entity and any vendor that touches PHI. If your hosting provider, database, email, SMS, analytics, or error-tracking vendor will see PHI, you need a signed BAA with each. Most AI builders default to non-BAA tiers of Supabase, Vercel, PostHog, and Sentry. We migrate to BAA-signed tiers as the first step of every healthtech rescue. See HIPAA.gov for the BAA checklist.
Both. AWS + BAA is the most common destination when we migrate off an AI-built healthtech scaffold because it is easier to get BAA coverage on RDS, S3, Lambda, and CloudWatch than on the default Vercel + Supabase free tier the builder defaulted to. Aptible is another common destination for HIPAA-by-default. We pick the target based on the scale and the compliance team's preference; we do not impose a stack.
Typical healthtech AI app rescue runs seven to fourteen days. The first three days are the audit and the BAA migration. Days four to seven close the audit log, RLS, MFA, and PHI redaction. Days eight to fourteen cover backup, incident response, and the Playwright suite that guards the PHI access paths. Pilots usually start the week after handoff with the runbook and the retainer option in place.
Yes. We sign a BAA for every healthtech rescue engagement and we pass through BAAs from our own sub-processors (hosting, CI, code review tooling). The BAA is signed before we touch any PHI — usually alongside the MSA and the scope document in the first 48 hours of the engagement. We do not read live patient data during audits; we use synthetic data or anonymised fixtures.
Send the repo. In 48 hours we return a HIPAA-scoped finding list and a fixed-price path to close every item. BAA signed alongside the scope, no hourly billing on a HIPAA AI app rescue.