Feature spotlights

Natural language processing

Provides NLP extensions to support analysis of written medical records and the creation of longitudinal patient records. The information can be aggregated and combined with external sources such as disease registries and can support clinical studies by providing data on large numbers of patients.

Registry templates

Offers templates for common registry domains such as patient medication, patient demographics, problems and diagnoses, inpatient admissions, procedures and treatments, and surgery cases.

Location-based health data

Includes population health extensions to help you identify and retain location-based deprivation factors and other risk-based data zones.

OMOP table support

Provides OMOP tables with logical entities and attributes, which can be integrated into any supported database platform, along with dependency mappings into UDMH logical models.

Revenue cycle management support

Enables you to identify forecast revenues at the time of booking patient appointments, and measure actual revenue versus forecast revenue. You can identify lost revenue and reasons for loss such as patient no-show, practitioner unavailable, facility unavailable, and equipment failure.

Support for CMS Part C and D ratings

Supported ratings include Managing Chronic Conditions, Member Experience with Health Plan, Drug Plan Customer Service and Member Complaints.

Nursing data metrics

Includes metrics supporting the National Database of Nursing Quality Indicators (NDNQI) such as Pressure Ulcers, Peripheral IVs, Missed Care, Central Line Blood Stream Infection and Pneumonia.

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