Data collection, integration and normalization presented to DIMACS

Gil Delgado

October 17, 2002

Discussion

Challenges and barriers as well as processes and methods for collection, integration, and harmonization of clinical data.

Clinical Data as a resource for Disease Surveillance, BioTerrorism detection, and Adverse Events Reporting.

Agenda

Challenges and Barriers Overview of clinical data collection,

integration and harmonization Processes Methods

Demonstration of Health Data System

Challenges and Barriers

Social, Political, and Ethical HIPAA Incentives Resources Available Infrastructure Vocabularies and Codes Appropriate Filtering

Collection, Integration and Harmonization Overview

Enterprise Application Integration Interface Engines HL7

Enterprise Master Patient Indexing De-Identification Vocabulary Harmonization

Standard vs. Proprietary Mapping

Processes and Methods Rational’s Unified Process (RUP) Message-based Processing Error Reporting Change Management Patient Matching Vocabulary Mapping Quality Assurance Performance Metrics and Management

Deployment Architecture

Hospital Hospital Hospital Hospital Hospital Hospital

StatePublicHealth

Hospital Hospital Hospital

Other

BTDS: Bio-Terrorism & Disease Surveillance

RDS BTDS

RDS BTDS

Federal Agency

StatePublicHealth

Researchers

NDS BTDS

Commercial Research Architecture

ProviderInterfaceEngine

Emergint Interface Server

Secure Network

ProcessingServer(s)

De-IdentifiedResearch

Data

Identification VocabularyHarmonization

De-Identification

MessageMapping

Public Health Surveillance Architecture

ProviderInterfaceEngine

Emergint Interface Server

NEDSSSecureNetwork

Health Dept. /CDC

(NEDSS)

VocabularyHarmonization

Filtering Identification

De-Identification

MessageMapping

Demo

Health Data System

Appendix

The following three slides present “more details” about the data that Emergint provides for research.

These slides discuss the value of the data, from how it is collected, what is collected, how it is harmonized, and how it is made available.

Appendix: Value Creation Emergint captures the same data directly

used in the delivery of clinical care, rather then secondary data derived from clinical care, such as claims data and chart abstraction

Patient data are multi-encounter and longitudinal, de-identified in compliance with HIPAA, continually updated and linked across multiple inpatient and outpatient providers

Appendix: Value Creation (con’t.) Data consists of demographic (age,

sex, weight, etc.), diagnosis, procedures and results (laboratory results, medications, transcriptions including history and physical and discharge summary)

Data are electronically captured and maintained in original terminology and transported in a common format (XML) to retain maximum data integrity

Appendix: Value Creation (con’t.)

Data are comparable across sources or original terminology by enhancing data with standards-based concepts for indexing and retrieving data

Common search tools and customized report formatting provide electronic access to the data