View
216
Download
0
Tags:
Embed Size (px)
Citation preview
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