services_imageHMS’s cloud-based, health care software platform allows for ALL data to be handled within a strictly HIPAA-controlled environment using patent-pending HIPAA Control Unit (HCU) technology. The HCU allows granular sharing of information based on contractually agreed upon functionality. Services are differentiated by provider, payer or other data ownership type and provided by contractually specified source and user.

Data mapping is carefully segmented into identified and de-identified data. Data can be extracted from databases or from documents using vendor-agnostic pull techniques. The data can be filtered to specific cohorts of patients, condition(s), providers or payers and displayed on a daily, weekly, monthly or quarterly basis in a personalized dashboard.

Identified Data

  • Data Movement (Fluidity) between components of a single system with multiple non-communicating EHRs or between hospitals, primary care, nursing home, emergency room and other health and non-health services under varying governance structures – all using HCU technology and contractual permissions. Vendor agnostic, HMS works with any EHR and format specified.
  • Reporting to Oversight Bodies, such as CMS for GPRO reporting, HEDIS, or other regulatory and funding sources, such as payers.
  • Notifications/Alerts from ER and Hospital Admissions ‘at the time’ of the Event includes notifications or alerts as well as quality improvement data fluidity between hospitals and step down units, such as nursing homes, or to primary care physicians and others for transitions of care. This service was initiated in the region through a partnership with the Greater Kansas City Health Care Foundation, which has underwritten notification services for area community mental health centers and several hospitals. This service is expanding statewide in Kansas through the Heart and Stroke Collaborative which connects primary care practices in rural Kansas with critical access hospitals and Kansas University Medical Center.
  • Population Management and Measurement (Internal Quality Improvement) — for which a 360-degree view of the patient is essential — requires that data generally be brought from multiple data sources, extracted, cleaned, normalized and stored in a manner than can be easily retrieved and used. Can be used for disease management, managing preventive care and follow-up. This internal quality improvement service is in daily use by such practices as Signature Medical System/Kansas City Internal Medicine.

The sharing of health information across information silos has several benefits:

  • Aggregate Measures produce HIPAA-compliant aggregate data that can support quality improvement initiatives across a number of clinics or practices;
  • Regional Registry utilizes normalized “base tables” at separate clinics for the creation of a regional HIPAA-compliant chronic disease registry;
  • Benchmarking produces aggregate data at the regional level that can be used for benchmarks with an entire state or region.

De-identified Data

  • Public Policy – for which de-identified data can be coalesced from multiple diverse EHRs and other non-medical sources to provide cleaned, normalized data needed for sound policy. Area Public Health Departments have enthusiastically endorsed this service and will be enabled to participate through a very attractive rating setting that can significantly improve outcomes and costs through population health and reduced manual data extraction.
  • Research – for which movement of cleaned, normalized data from non-communicating EHRs is vital. DARTNET, a national research consortium, has used HMS’ technology for coalescing and moving data from non-communicating EHRs across the country – from Los Angeles’ South Central Family Clinic to Kansas City Internal Medicine (among HMS clients) in a national study of chronic renal disease.

The impact of HMS technology on saved time and resources is roughly a 5:1 return on investment – saving insurers and QA time dedicated to these functions.