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City of Philadelphia

CARES Integrated Data System

Data Types

CARES integrates and stores data about clients from 2003 to the present. Data that are currently available include:
  • Client Demographics
  • Client/Family Relationships
  • Service Provider(s)
  • Services
  • Date of Services
  • Other characteristics of clients and services

Contact Us

Director: James Moore
Phone: 215.686.2158

For all inquiries:
The data in the CARES integrated data system is used for internal analytics, research, and integrated case management. CARES currently consists of the following: a common data model; dedicated data warehouse; a highly complex probabilistic matching algorithm, and Extract Transfer Load (ETL) procedures that retrieve key data from source system databases.

Key Features

Internal Analytics

CARES is used to create de-identified client level or aggregated results in order to support external and internal reporting, grant applications and deliverables, program planning, and cross-system quality improvement projects.

HHS Client Snapshot
CARES provides the infrastructure to support integrated service coordination practice. The data in CARES form the foundation for HHS Client Snapshot, an application case managers can use to see who else in the Health and Human Services cluster provides services for their clients. To learn more about HHS Client Snapshot, contact

Probabilistic Matching
CARES is able to match a client or group of related clients receiving services across data sources. The algorithm uses probabilistic matching to address anomalies that occur in social service data. CARES also generates a “best fit” profile that reduces inconsistencies across data sets while increasing accuracy and usability of the data. An “Enterprise Party ID” is assigned to generate a cross-system client profile.

External Cohort Matching
CARES is able to accept and integrate large batch files from external sources that are not a part of routine integration procedures. This capacity has made CARES a valuable resource for supporting initiatives that require federal, state, or other local data sources.