Data collection, integration and
normalization presented to
DIMACS
Gil Delgado
October 17, 2002
Discussion
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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
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Challenges and Barriers
Overview of clinical data collection,
integration and harmonization
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Processes
Methods
Demonstration of Health Data System
Challenges and Barriers
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Social, Political, and Ethical
HIPAA
Incentives
Resources
Available Infrastructure
Vocabularies and Codes
Appropriate Filtering
Collection, Integration and
Harmonization Overview
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Enterprise Application Integration
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Interface Engines
HL7
Enterprise Master Patient Indexing
De-Identification
Vocabulary Harmonization
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Standard vs. Proprietary
Mapping
Processes and Methods
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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
RDS
Hospital
Hospital
Hospital
Hospital
Hospital
State
Public
Health
BT
DS
Federal
Agency
NDS
RDS
BT
DS
Researchers
BT
DS
Other
Hospital
State
Public
Health
Hospital
Hospital
BTDS: Bio-Terrorism & Disease Surveillance
Commercial Research
Architecture
De-Identified
Research
Data
Secure Network
Provider
Interface
Engine
Emergint Interface Server
Message
Mapping
Processing
Server(s)
Identification
Vocabulary
Harmonization
DeIdentification
Public Health Surveillance
Architecture
NEDSS
Secure
Network
Provider
Interface
Engine
Health Dept. /
CDC
(NEDSS)
Emergint Interface Server
Message
Mapping
Vocabulary
Harmonization
Filtering
Identification
DeIdentification
Demo
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Health Data System
Appendix
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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
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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.)
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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.)
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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