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Utilization, flow, and margins across sites come from one warehouse.

One warehouse for administrative data, multi-site clinical records, and operational metrics, so leadership is not reconciling five systems by hand.

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30-minute call. No system replacement.

  1. Multi-site ingestion
  2. Cleansing and harmonization
  3. Analytics and BI
  4. Security and compliance

Our Recent Work

  • Patient Administration Across A Multi-Site Group

    For a multi-site clinic group, the team built a multi-tenant database that unified patient administration records across facilities and legacy systems. Practice managers could see admissions and administration flow from one place instead of reconciling each site by hand.

    Capabilities usedPatient administration, multi-site database architecture.

    Read More

  • One Registration Series And Encounter Record Across Sites

    Registration numbers and encounter records from acquired clinics were reconciled onto one numbering series. User management decided who could open which site’s records, so an encounter could be followed across facilities without colliding patient IDs.

    Capabilities usedEncounter management, registration number series, user management.

    Read More

The pathway

  1. Patient administration, clinical records, and operational metrics often live in a different system at every site. This warehouse pulls those sources into one cloud store that leadership can query.

  2. ETL connects each clinic, on-premise server, and legacy database into a central environment such as AWS HealthLake, Azure Health Data Services, or Snowflake. Deduplication and entity resolution line up conflicting patient IDs and coding schemas before a report treats two sites as one population.

  3. Dashboards on that store show provider utilization, appointment trends, patient flow, resource bottlenecks, and operational margins. Access is role-based, data is encrypted at rest and in transit, and every access is written to an audit log.

The problem

Network expansion and multi-site acquisitions that create data silos, so management cannot track utilization, patient flow, or operational margins across facilities.

Who this is for

Chief financial officers, chief operating officers, and practice executives.

How it works

  1. Multi-site ingestion

    ETL pipelines connect clinics, on-premise servers, and legacy databases into a central cloud environment such as AWS HealthLake, Azure Health Data Services, or Snowflake.

  2. Cleansing and harmonization

    Deduplication, entity resolution, and coding standardization reconcile conflicting patient IDs and schemas across acquired facilities.

  3. Analytics and BI

    Executive dashboards on the warehouse track operational KPIs, provider utilization, appointment trends, and resource bottlenecks.

  4. Security and compliance

    Zero-trust access, encryption at rest and in transit, role-based permissions, and audit logging for HIPAA-aligned operations.

What you get

  • Sites, on-premise servers, and legacy databases feed one cloud warehouse.
  • Conflicting patient IDs and coding schemas are reconciled.
  • Dashboards show utilization, appointment trends, and bottlenecks.
  • Access is role-based, encrypted, and written to an audit log.

Questions to settle first

Do our sites have to leave their current systems?

No. Each clinic keeps its clinical system. ETL pulls administration data, clinical records, and operational metrics into one warehouse.

How are records from acquired practices lined up?

Deduplication and entity resolution reconcile conflicting patient IDs and coding schemas before a dashboard treats two sites as one population.

What can leadership see across the group?

Utilization, appointment trends, patient flow, resource bottlenecks, and operational margins: the measures that today live in five systems.

Who can open the warehouse?

Access is role-based. Data is encrypted at rest and in transit, and every access is written to an audit log for HIPAA-aligned operations.

What do we start with?

The sites you cannot compare today, and the measures leadership needs: utilization, patient flow, or margins.

See if this pathway fits

We start with one workflow, measure it, then expand. Book a 30-minute discovery call.

Book A Discovery Call

30-minute call. No system replacement.

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