CoEfficient

How it works

Making clinical and business value computable, shareable under your governance, and provable.

One layer of clinical, business, and process knowledge, shared across the parties in a program, with every result explained.

Where we fit ↓Unify ↓Orchestrate ↓Empower ↓

Where we fit

The governed middle: above the data platforms and source systems that hold the information, beneath the AI, automation, and applications that act on it.

Built for multi-entity operations that single-enterprise software was not designed to enable.

THE QUESTION Is this patient on track under this clinical plan and program, and what should happen next? AI, automation, and applications Put the next step in front of the right person or agent, or automate it inside the workflow. PROMISING, NOT YET TRUSTED Much of today’s AI and automation sits on raw data or narrative guidance. Knowledge, deterministic reasoning, and orchestration FRAGMENTED, MISSING AS A SHARED LAYER Its pieces live in spreadsheets, on an analyst’s laptop, in customized analytics and software, and in each vendor’s own rules, engines, and data models, custom or rebuilt for every contract and customer. PERSONALIZED RESULT For this person, a current view of their state and clinical plan, under these guidelines and this contract, at this version: here is the answer, with the evidence and the reasoning. Insights, with evidence Questions, proposals Reasoning engine Case Knowledge Enrichment, standardization Records, with provenance Data platforms and source systems Here is what is on record, and what the analytics show. MATURE Many are now trying to take on this middle layer too. It’s expensive and hard, because they were built to store and analyze each organization’s own data. Built for the cloud and interoperability you already have: hyperscale cloud, TEFCA, FHIR.

To change the economics

Unify

Clinical, business, and process knowledge in one governed reasoning layer, deterministic and explainable, so every insight carries the context of the person, the program, and the contract, grounding AI and enabling automation.

One governed layer across clinical, business, and process knowledge

Clinicalguidelines, pathwaysBusinessincentives, policies, attributionProcessworkflows, roles, handoffsencodeGoverned knowledgeClinical, business, and processeach kept separate, owned, and versionedWHAT IT ISFully specified and computableOn standards, and built to derive every useWHAT IT KNOWS ABOUT ITSELFWhere it applies, where it’s used,what it’s connected toWith its source, version, and lineageHOW IT IS GOVERNEDOwned, reviewed, and testedEvery version retained, so decisions can be re-runReason overeach caseDerive every usePlan quality measureProvider quality measureData requirements for each usePrior authorization criteriaPoint-of-care alertCare-plan stepCoverage ruleRegistry ruleContract criterionThe next use caseAll connected and consistent
Clinicalguidelines, pathwaysBusinessincentives, policies, attributionProcessworkflows, roles, handoffsencodeGoverned knowledgeClinical, business, and processeach kept separate, owned, and versionedWHAT IT ISFully specified and computableOn standards, and built to derive every useWHAT IT KNOWS ABOUT ITSELFWhere it applies, where it’s used,what it’s connected toWith its source, version, and lineageHOW IT IS GOVERNEDOwned, reviewed, and testedEvery version retained, so decisions can be re-runReason overeach caseDERIVE EVERY USEPlan quality measureProvider quality measureData requirements for each usePrior authorization criteriaPoint-of-care alertCare-plan stepCoverage ruleRegistry ruleContract criterionThe next use caseAll connected and consistent

How it’s different

A knowledge-driven system, so reasoning is personalized and one source serves every use.

  • Three domains solved together, in the personalized context of each case

  • The shared case: decision-grade, and standards-aligned by construction

  • Govern the source knowledge; derive the executable forms from it

To organize care around populations

Orchestrate

The systemness healthcare has never had. Payers, providers, and affiliates working from the same trusted, near real-time insights and the same evidence, at the same time.

One value-based program, run across four parties

Orchestrate, one value-based program run across four parties: a state Medicaid purchaser, a health plan as the hub, a health system, and an affiliate practice. Embedded in each party’s own apps, agents, and automation: insights and results, with evidence, the same results on every side off the same knowledge and data, for example scorecards, each patient’s current plan, the highest-risk patients and populations, and prior authorization denial rates, at the detail each party is allowed: the purchaser in aggregate, the hub every provider, each provider its own patients, shared by permission in both directions. Controlled IP: each party keeps its data, its own IP, and its local business context, such as its targets, network setup, care workflows, or EHR workflow. The foundation is shared program knowledge: one artifact at one version.Embedded in apps,agents, and automationInsights and results,with evidenceshared by permission,both waysControlled IPits data, its own IP, andits local business context,e.g., targets, network setupShared programknowledgeone artifact, one versionPurchasera state Medicaid programOrchestrator huba health planService providera health systemService provideran affiliate practiceProgram knowledgesame versionProgram knowledgesame versionProgram knowledgesame versionProgram knowledgesame versionIts targetsIts network setupIts care workflowsIts EHR workflowIts dataIts own IPIts dataIts own IPIts dataIts own IPIts dataIts own IPin aggregateScorecardsEach patient’s current planHighest-risk patients and populationsPrior authorization denial ratesin aggregateevery providerits own patientsits own patients
Orchestrate, one value-based program run across four parties: a state Medicaid purchaser, a health plan as the hub, a health system, and an affiliate practice. Embedded in each party’s own apps, agents, and automation: insights and results, with evidence, the same results on every side off the same knowledge and data, for example scorecards, each patient’s current plan, the highest-risk patients and populations, and prior authorization denial rates, at the detail each party is allowed: the purchaser in aggregate, the hub every provider, each provider its own patients, shared by permission in both directions. Controlled IP: each party keeps its data, its own IP, and its local business context, such as its targets, network setup, care workflows, or EHR workflow. The foundation is shared program knowledge: one artifact at one version.PurchaserHubSystemPracticetargetsnetworkworkflowsEHRScorecards · each patient’s planhighest-risk patients · PA denial ratesaggregateall providersits patientsits patients1234
  1. Embedded in apps, agents, and automation
  2. Insights and results, with evidence, shared by permission, both ways
  3. Controlled IP: its data, its own IP, and its local business context, e.g., targets, network setup
  4. Shared program knowledge: one artifact, one version

How it’s different

Multi-entity by design, with every party keeping control.

  • Interoperability at the level of insights, results, and applications

  • Your rules and best practices stay yours: author, govern, and share them how you choose

  • Neutrality, provenance, and IP control designed into the architecture

To reduce many-to-many complexity

Empower

Control over your own performance and risk, confidence in negotiations and audits, and independence from fragmented vendors, systems, and teams.

From authoring to audit

BUILD TIMEAuthor and validateIMPLEMENTATION TIMEDistribute and localizeRUN TIMEReason, with evidenceClinicale.g., a care pathwayBusinesse.g., program rulesHealth plan+ its own workflowHealth system+ its own workflowPractice+ its own workflowThe next partyadded the same wayClinicalBusinessProcessThe result, explainedThe clinical answere.g., this care plan needs an updateWhat to do about ite.g., in this program and workflow,a message for the care manager to callWhy: the logic pathEvidence used, and missingKnowledge release, computed or reasonedWho accepted itClinical and business knowledge, eachauthored, validated, and versioned on itsown, so either can be updated withoutrewriting the other.Distributed to each party, which can localizeknowledge (e.g., workflow) while using thegoverned program knowledge as is.Each case is reasoned over where its party’s clinical, business, andprocess knowledge meet, with only what applies to it. The resultcomes back explained: what is true, and what to do about it.
THE TIME MACHINEThe knowledgereleased and versionedThe case’s dataarrives and updatesRelease 1Release 2Release 3A decision is madethe case as it stood, under the release in forceTodayReplay a decision exactlyThe case as it stood, under the release in force.The same result, with the same evidence.Run any date, under any releaseThe case as it stood that day, under any release.The decision that would have been made, and why.Compare with todayToday’s case, under today’s release. What changed,and whether the data or the knowledge changed it.
BUILD TIMEAuthor and validateClinicale.g., a care pathwayBusinesse.g., program rulesClinical and business knowledge, each authored,validated, and versioned on its own, so eithercan be updated without rewriting the other.IMPLEMENTATION TIMEDistribute and localizeHealth plan+ its own workflowHealth system+ its own workflowPractice+ its own workflowThe next partyadded the same wayDistributed to each party, which can localizeknowledge (e.g., workflow) while using thegoverned program knowledge as is.RUN TIMEReason, with evidenceClinicalBusinessProcessThe result, explainedThe clinical answere.g., this care plan needs an updateWhat to do about ite.g., in this program and workflow,a message for the care manager to callWhy: the logic pathEvidence used, and missingKnowledge release, computed or reasonedWho accepted itEach case is reasoned over where its party’sclinical, business, and process knowledge meet,with only what applies to it. The result comes backexplained: what is true, and what to do about it.
THE TIME MACHINETHE KNOWLEDGE, RELEASED AND VERSIONEDRelease 1Release 2Release 3THE CASE’S DATA, ARRIVING AND UPDATINGA decision is madeTodaythe case as it stood, under the release in forceReplay a decision exactlyThe case as it stood, under the release in force.The same result, with the same evidence.Run any date, under any releaseThe case as it stood that day, under any release.The decision that would have been made, and why.Compare with todayToday’s case, under today’s release. What changed,and whether the data or the knowledge changed it.

How it’s different

Governance, evidence, and reproducibility are structural.

  • Governed routing between deterministic and probabilistic, where nothing certifies itself and every answer shows its path

  • Governed, deterministic execution, reproducible across versions and across time

  • Every result carries its evidence, which is what makes AI governable

Contact

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We’re early, and working with a small group of co-development partners. Tell us what you’re working on, and we’ll be in touch.

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