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Patient 360. One patient. Every system. Finally.

The unified longitudinal record your clinical, quality, and revenue teams have all asked for and never had at the same time. Built on the Data Layer. Useful from day one.

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The drift problem

The same member shows up three different ways across five systems.

The provider directory disagrees with itself. The claims system has a different patient ID than the EHR. Care management is running off a CSV from last month. Patient 360 ends that. One identity. Every record. Every workflow.

Identity resolution at the foundation

Resolution runs continuously, not as a quarterly batch process.

Built on the Data Layer's healthcare-native entity resolution. Member, provider, and episode are first-class entities. Your data stops drifting between systems. Provenance is tracked from origin to use.

Longitudinal record

Everyone working from the same record, in real time.

Every patient carries the full history at every point of contact. Care management sees the latest claims. Clinical sees the eligibility status. Quality sees the gaps. The longitudinal record spans claims, clinical, and enrollment without your team stitching it together by hand.

Care gap surfacing

Care management gets a worklist, not a dashboard.

What is missing, surfaced. What matters, prioritized. Workers identify documentation gaps, missed screenings, and risk-bearing conditions that need attention. The team works the list rather than reading the dashboards.

EHR-native delivery

The unified record actually shapes the visit.

Patient 360 lives where your team already works. Insights, gaps, and risk scores surface in the EHR workflow rather than in a separate tool nobody opens. The record stops sitting in a side window and starts informing the encounter.

Composed of

Three coordinated layers, one unified record.

The Data Layer

Healthcare-native entity resolution. Member, provider, claim, and episode resolved across every source system, with continuous re-resolution.

ICD-10 Extractor

Surfaces supportable ICD-10 conditions from the longitudinal record with chart evidence and the coding rule attached.

Care Gap Worker

Identifies documentation gaps, missed screenings, and risk-bearing conditions that need attention. Care management gets a worklist, not a dashboard.

Outcomes teams measure

What changes after the Operating System is live.

Faster

Care gaps closed

Up

Quality measure performance

At point of care

Risk-bearing conditions captured

A worklist

Care management productivity, not a list of dashboards

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See Patient 360 assemble the complete record before reviewers open the case.

A Penguin Ai specialist will walk through how the Data Layer, ICD-10 Extractor, and Care Gap Worker compose into the unified record your teams have been working without.

Talk to Us
Read the Patient 360 case study