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Healthattica™

Every healthcare activity runs on context. Most of it is missing.

Your systems record what happened. Healthattica supplies why — the rule, the policy, the protocol and the approval behind every clinical, coverage, regulatory and research decision. Certified by your experts, traced to source, always current.

Built by people who work in healthcare knowledge, for providers, payers, pharma, medical devices, research and academia, and health-AI teams.

09:10Pre-approval request receivedMRI lumbar spine to Clinical review

  1. Medical policy, imaging of the lumbar spine

    v7 · Approved by the medical director

    Certified
  2. Clinical criteria source

    Specialty society guidance, 2026 edition · Approved by the clinical policy lead

    Certified
  3. Documentation requirements for this service line

    v7 · Approved by the utilisation management lead

    Re-certification pending

    Policy criteria revised this month.

Illustrative example. Roles, versions and locations are invented.

Your systems record what happened. Not why.

Providers, payers, life-sciences companies and research institutions all invested in systems for their data — EHRs, claims platforms, ERPs, regulatory and safety systems, trial management systems. But the context every activity depends on still lives in PDFs, spreadsheets, email threads and the heads of your most experienced people.

ProviderA discharge
RecordedPatient discharged.
MissingWhich discharge protocol applied, which follow-up rules this payer requires, and whether the medication guidance was current.
PayerA coverage decision
RecordedPre-approval approved.
MissingWhich version of the medical policy it was checked against, and whether that policy changed last month.
PharmaA label change
RecordedNew label approved.
MissingEvery medical-information response, training deck and promotional claim that still reflects the old one.
Medical devicesA market submission
RecordedDossier filed.
MissingWhich version of each regulator's requirements it was built against, and which have changed since.
Research and academiaA protocol amendment
RecordedAmendment approved.
MissingWhich sites, teams and procedures are still running the previous version.
Any organisationA new hire's first month
RecordedOnboarding complete.
MissingHow we actually do it here, which walked out the door with the last person in the role.

Some of these are running on guidance that's already out of date. Nothing in your systems says which.

Context breaks at every handoff.

Most errors, delays, denials and findings don't happen inside a system. They happen between them.

  1. Team to team

    A ward handover, a case moving from intake to medical review, a safety case moving between reviewers. Decisions lose their reasoning.

  2. Site to site

    Hospitals in a network, trial sites in a study, affiliates in different markets. Practice differs and nobody says so.

  3. Person to person

    Experienced clinicians, reviewers, regulatory scientists and researchers leave; their judgement leaves with them.

  4. Version to version

    A guideline, formulary, medical policy, label or protocol changes, and work based on the old one keeps running.

  5. System to system

    Data moves; the rules that gave it meaning don't.

We start from the work, not from the model.

Healthcare and life sciences are domain-first industries. The structure we build follows how clinicians, reviewers, regulatory scientists and researchers actually work — which rule applies, which version is in force, who signed it off, and what happens when the source moves.

Clinical practice
Care pathways, unit protocols, escalation criteria, formulary entries, approved substitutions, local dosing and interaction rules.
The trust-wide document and what the unit actually does are often two different things, and both are legitimate.
Coverage and utilisation
Medical policies and their clinical criteria, prior-authorisation requirements, documentation standards, coding and denial logic.
A decision is defensible only against the policy version in force on the date of service.
Regulatory
Approved labels and their sections, variations, submissions, standards versions, clinical evaluation and post-market surveillance requirements per market.
A label change is not one document changing; it is everything downstream of it going quietly out of date.
Safety and medical information
Reference safety information, causality and expectedness assessment rules, case-processing conventions, approved standard responses.
Consistency between reviewers is a knowledge problem long before it is a training problem.
Research
Protocol versions and amendments, eligibility and visit rules, ethics approvals, lab SOPs, prior evidence and its appraisal.
Amendments are approved centrally and adopted unevenly, and the gap is where findings come from.
Standards and sources
Clinical guidelines from bodies such as NICE, FDA and EMA, payer and PBM policy, device standards, published literature, internal policies and SOPs.
Sources disagree with each other, and a local policy can legitimately override both. Someone qualified has to decide.

That is why agents do the reading and your named experts hold sign-off. The judgement stays with the people who have it.

Certified context, attached to every activity.

We capture the rules your people follow, your experts approve them, every team and system uses them, and we flag them the moment something changes.

  1. Build

    Agents read your guidelines, formularies, medical policies, labels, study protocols, regulatory documents and literature, and extract the rules and relationships at scale.

  2. Certify

    Your qualified experts review, correct and sign off. Nothing is official until a human approves it.

  3. Run

    Teams, systems and AI agents ask one trusted source in plain language — and every answer cites where it came from.

  4. Govern

    Sources are monitored. When something changes, the affected context is flagged and re-reviewed.

Agents build it. Experts certify it. Everyone runs on it.

We don't replace your systems. We give them context.

Your clinical, claims, regulatory, safety, research and contact-centre systems keep doing what they do. Healthattica sits alongside them and answers the question they can't: which rule applies here, and is it still current? Your teams, systems and AI agents reach it through API, MCP or chat.

Under four minutes on what we build, and why certified context behaves differently from retrieval.

What it sits alongside

  • Clinical records
  • Claims and utilisation management
  • Regulatory and quality
  • Safety and medical information
  • Trials and research
  • AI assistants and agents

For every team whose decisions run on rules.

Six segments, equal weight. Each gets its own certified context, built the same way.

Providers
Hospitals, clinics and health systems, where the protocol behind a decision has to be the current one.
Start withone care pathway or guideline set
Payers
Insurers, TPAs and utilisation management teams deciding what is covered, against which criteria.
Start withone policy or coverage area
Pharma
Medical affairs, regulatory and safety teams whose answers have to match the approved label in each market.
Start withone drug class or regulatory domain
Medical devices
Clinical, regulatory and post-market teams evidencing claims across several markets at once.
Start withone device class or regulatory pathway
Research and academia
Universities, academic medical centres, research institutes and CROs, where protocol versions and prior evidence decide the work.
Start withone therapeutic area or study protocol
Health AI
Teams building healthcare AI that has to cite a source a committee will accept, or refuse.
Start withPlatform Access on an existing certified domain, or commission a new one

What changes when context is certified.

Less time hunting for the current version of anything
The answer arrives with its version and its approver attached, so nobody re-checks it in a second system.
New staff, reviewers and researchers productive faster
How we do it here is written down and approved, instead of being learned from whoever is on shift.
AI your committees will actually approve
Agents answer from a certified source, cite it, and decline when there isn't one.
An audit trail that can be verified
A regulator, auditor or ethics committee can check what was used and who approved it, without taking our word for it.
Payers: consistent, defensible coverage decisions
Every pre-approval is checked against the policy version in force at the time, and that version is recorded.
Research: amendments that reach every site
When a protocol changes, the teams and procedures still running the previous version are flagged rather than discovered later.

In healthcare, a defensible “no” beats a confident guess.

Every answer traces to a certified source. When there isn't one, the system says so, and logs it. No training on your content. Your data stays in your region. Every action is written to an audit log anyone can verify.

  • Which transfer protocol applies when a ward patient escalates to intensive care?

    Follow the hospital transfer protocol for unplanned escalation, including the handover checklist and the payer notification step.

    CitedHospital transfer protocol v3.2 — approved by the critical care lead

  • What dose should we use for this patient?

    No certified basis for a patient-specific dose. This is a clinical decision for the treating clinician; the system declines and logs the refusal.

    RefusedRefusal logged — no certified source covers individual dosing

Read our trust posture

Missing context has a price. We measured one part of it.

Counting only wasted time, unmanaged medical knowledge costs physicians, nurses, pharma, life sciences and payers more than $55 billion a year across five major markets — likely $55B–$140B. That's before denials, rework or compliance exposure.

See the method
Physicians
~$44B
Nurses
~$22B
Pharma medical and regulatory
~$13B
Other life sciences
~$6B
Payers
~$4B

Built with your experts, not around them.

Your clinicians, pharmacists, medical reviewers, regulatory scientists, safety physicians and researchers hold authority over what's true in your organisation. We give them agents that do the reading, so their time goes on judgement. Our side of the table is knowledge engineering in this domain: structuring guidelines, policies, labels and protocols so they hold up to the questions a regulator, an auditor or an ethics committee will ask.

  1. Review

    You see each proposed rule next to the source it came from, with its version and the passage it rests on.

  2. Correct

    Where the agent has it wrong, or has missed the local qualification that matters, you correct it.

  3. Approve

    You sign off. Your role is recorded against the rule, and the approval goes to the audit log.

Attica. Not decoration — a discipline.

Attica is the region of Greece that gave the modern tradition of philosophy its first rigorous method: Socrates, Plato, Aristotle, and the discipline of not claiming to know what you cannot justify. We didn't put it in our name for flavour. We put it there because it names the exact discipline healthcare AI is missing.

We're not here to sell AI. We're here to build certified context — constructed at AI scale, certified by human authority, and reached by your teams, systems and agents through one trusted layer. Start from the interface and you build an interface, not an infrastructure, so we build from the certified graph outward.

Backed by experience across clinical, regulatory and AI.

Episteme
justified, traceable
Doxa
fluent, unverified
Our standard
cite or refuse
Applied to
healthcare and life sciences

Talk to us

Start with one workflow.

Give us one domain — a care pathway, a set of medical policies, a drug class, a device's regulatory pathway, a study protocol. In 4–6 weeks we'll show you what missing and outdated context is costing you, as a range your board will accept. The fee credits toward your first Foundation Sprint.

A small number of founding clients, by design — each gets the full team, not a queue.

What would you like to talk about?

Please don't include patient information.