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© 2013
Chapter 4: Healthcare Data Sets
and Standards
Health Information Management
Technology:
An Applied Approach
Fourth Edition
© 2013
Introduction
• Data
o Data element
• Information
• Aggregate data
© 2013
History of Healthcare Data Collection
• Bills of Mortality
• Modern data standardization began in 1960s
o Hospital discharge abstract systems
o Data sets
© 2013
Data Sets in the Electronic Environment
• Original data sets inadequate for electronic
environment
• Healthcare informatics standards
© 2013
Data Sets
• List of recommended data elements with uniform
definitions that are relevant for a particular use
© 2013
Importance and Use of Data Sets
• In 1960s NCHS and NCVHS coordinated effects
to create data sets
• Two purposes
o Identify data elements to be collected on each patient
o Uniform definitions for common terms
• Data sets do not limit what data can be collected
© 2013
Importance and Use of Data Sets
• Used for
o Research
o Clinical trials
o Quality
o Safety improvement
o Reimbursement
o Accreditation
o Exchanging clinical information
© 2013
Types of Data Sets
• Data sets required or recommended by the
federal government
o Uniform Hospital Discharge Data Set (UHDDS)
• Short-term general hospitals
• Collected from every hospital inpatient
• Required by federal government
• Used in DRGs
• Data elements listed in figure 4.1
© 2013
Uniform Ambulatory Care Data Set
• Patients depart from facility on same day
• Includes physician offices, outpatient hospital
clinics and diagnostic services and more
• Reasons for decrease in inpatient hospitalizations
o Technological advancements
o Third-party reimbursement for outpatient services
o Medicare prospective payment system (PPS) limits
© 2013
Uniform Ambulatory Care Data Set
• Some data elements similar to UHDDS
• Specific ambulatory data elements
o Reason for encounter
• Optional data elements
o Living arrangements
o Marital status
• See figure 4.2
10
© 2013
Uniform Ambulatory Care Data Set
• Goal of UACDS is to improve data comparison
• Provides uniform definitions that help analyze
patterns of care
• Recommended by federal government
11
© 2013
Minimum Data Set for Long-Term Care
and Resident Assessment Protocols
• Used in long-term care
• Mandated by Medicare and Medicaid
12
© 2013
Minimum Data Set for Long-Term Care and
Resident Assessment Protocols
• Three components
o Minimum Data Set for Long-Term Care–
Version 3.0
o Care Area Assessment process
o RAI utilization guidelines
© 2013
Minimum Data Set for Long-Term Care
and Resident Assessment Protocols
• Core set of screening and assessment elements
• Completed at admission and periodically
thereafter
• Far more extensive than other data sets
• Used to create resident assessment protocol
• Used to assess resident safety and quality
improvement
© 2013
Outcomes Assessment Set
• Collects core data on Medicare home
health patients
• Used in measuring patient outcomes
• Used as basis for home health reimbursement
• Determines if patient can be discharged or
transferred from home care.
© 2013
Healthcare Effectiveness Data and
Information Set
o Sponsored by National Committee for Quality
Assurance
o Used to compare performance of managed
healthcare plans
o Collects administrative, claims and health record
review data
© 2013
Healthcare Effectiveness Data and
Information Set
• Basis of performance improvement efforts
for health plans
• Develops physician profiles
• Abstracted from health record in hospitals
and clinics
o Combined with enrollment and claims data
• Population-based data collection tool
17
© 2013
Data Elements for Emergency Departments
• Published by the Centers for Disease Control
• Support uniform collection of data in
hospital-based emergency departments
• Recommends both content and structure of
data elements
• Utilizes national standards for electronic
data interchange
© 2013
Data Elements for Emergency
Departments
• Incorporates national standards for electronic
data interchange
19
© 2013
Joint Commission Core Measures
for ORYX
• ORYX integrates outcomes data and other
performance measures
• Promotes comprehensive, continuous,
data-driven accreditation process
© 2013
Joint Commission Core Measures for
ORYX
• Core measures based on selected
diagnoses/conditions
o Example: Diabetes
© 2013
Data Sets for Interoperative Electronic
Information Exchange
• Meaningful use requires submission of
information on clinical quality measures
• Health Information Technology Expert Panel
o Quality Data Model
• Defines concepts used in quality measures and clinical care
• Automates structured data capture in EHR and other systems
• QDM element
© 2013
Data Sets for Interoperative Electronic
Information Exchange
• ASTM International identified core data set for
patient’s clinical summary
o Continuity Care Record
o See figure 4.3
• Health Level 7 (HL7)
o Clinical Document Architecture.
• Exchange model for clinical documents
• Documents are machine readable
23
© 2013
Data Sets for Interoperative Electronic
Information Exchange
• Continuity of Care Document
• Transition of care initiative
o Clinical information model
24
© 2013
Standards for Electronic Data and
Electronic Data Interchange
• UHDDS, UACDS, and others were designed for
paper records
• New standards are being developed for the EHR
o EHR development
o Interoperability
o Information exchange
© 2013
Definition of Data Standard for Electronic
Data Exchange
• Data standard provide acceptable values for
data fields
• Data exchange standards are protocols that
ensure data transmitted from one system to
another remain comparable
• Transmission standards support format and
sequence of data during transmission
© 2013
HIPAA Administrative Simplification
• Standardized information exchange
• ANSI ASC X12N
o Current version 5010
• Code sets
© 2013
Data Needs in an Electronic Environment
• Must be able to integrate data from multiple
systems
o Internal and external
© 2013
Benefits of Data Exchange Standards
• Describe accepted methods for collecting,
maintaining and/or transferring healthcare data
among computer systems
© 2013
Standards Provide Common Language
That is Used to
• Exchange information
• Share information
• Communicate within and across disciplines and settings
• Integrate disparate data systems
• Compare information at a regional, national, and
international level
• Link data in a secure environment
© 2013
This ability allows for
• Disease surveillance
• Health and healthcare population monitoring
• Outcomes research
• Decision making and policy development
© 2013
Benefits of Data Exchange Standards
• Many standards required to implement EHR
• Infrastructure supports
o Connectivity
o Interoperability
o Seamless data interchange
32
© 2013
American Recovery and Reinvestment Act
• Made ONC a permanent office
o Help develop national health IT infrastructure
• Provided funds for standards, health information
exchange and implementation assistance
• Established standards, implementation
specifications and certification criteria for
certification of EHR technology
© 2013
Health Information Technology Policy
Committee and HIT Standards Committee
• HIT Policy Committee
o Recommends to the National Coordinator on a policy
framework for the development and adoption of a
national health information technology infrastructure
• HIT Standards Committee
o Recommends to the National Coordinator on
standards, implementation specifications and
certification criteria for electronic exchange and use
of health information
© 2013
Standards Development, Coordination,
Testing, and Harmonization
• Standard supports business process and
o Be agreed upon by group of experts
o Be publically vetted
o Provide rules, guidelines, or characteristics
o Help ensure materials, products, processes, and
services are fit for their intended purpose
o Be available in an accessible format
o Be subject to ongoing review and revision process
© 2013
Harmonization
• Process of replacing standards and policies
adopted by nations with uniform global
standards
• Refers to information technology standards
• Standards development organizations
o HL7
o ASTM
o ANSI
• Coordinates development of other SDOs
© 2013
Types of Standards
• Structure and content standards
o Uniform definitions of data elements
o Examples
• American Society for Testing and Materials International
Standard E1384-02a07
o Content and structure for EHR
• HL7 EHR-S Functional Model and Standards
o Exchange, integration, sharing, and retrieval of
electronic health information
© 2013
Type of Standards
• Content Exchange Standards
o Provide rules of how data are transmitted
o Examples
• Continuity Care Record
– Relevant current and past information about health status and
treatment
• Clinical Document Architecture
– Exchange model for clinical documents
• Continuity of Care Document
38
© 2013
Institute of Electrical and Electronics
Engineers 1073
• Open systems communications in healthcare
applications
o Beside medical devices and healthcare sysetms
39
© 2013
Digital Imaging and Communication
in Medicine
• Permits interchange of biomedical image form
forms and related information
• Interoperability messaging standard for imaging
40
© 2013
Vocabulary Standards
• Include vocabularies, code sets, and
nomenclatures
• Vocabulary standards provide common
definitions for medical terms
41
© 2013
Privacy and Security Standards
• Implemented throughout healthcare
• Protects personal health information
42
© 2013
Emerging Health Information Standards
• Extensible Markup Language (XML)
o Universal language to facilitate storage and
transmission of data published on the Internet
o Metadata Standards
oMetadata
oSupports descriptive data that characterize other data to
provide clearer understanding
© 2013
Role of HIM Professional
• Conducting data content standards requirements
analysis
• Developing local data dictionary to support
enterprise-wide interoperability
• Advancing the development of data content
standards
• Contributing to domain knowledge by participating
in relevant professionals association work
• Contributing to the development and harmonization
of industry and professional standards

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Ab103112 ch04

  • 1. © 2013 Chapter 4: Healthcare Data Sets and Standards Health Information Management Technology: An Applied Approach Fourth Edition
  • 2. © 2013 Introduction • Data o Data element • Information • Aggregate data
  • 3. © 2013 History of Healthcare Data Collection • Bills of Mortality • Modern data standardization began in 1960s o Hospital discharge abstract systems o Data sets
  • 4. © 2013 Data Sets in the Electronic Environment • Original data sets inadequate for electronic environment • Healthcare informatics standards
  • 5. © 2013 Data Sets • List of recommended data elements with uniform definitions that are relevant for a particular use
  • 6. © 2013 Importance and Use of Data Sets • In 1960s NCHS and NCVHS coordinated effects to create data sets • Two purposes o Identify data elements to be collected on each patient o Uniform definitions for common terms • Data sets do not limit what data can be collected
  • 7. © 2013 Importance and Use of Data Sets • Used for o Research o Clinical trials o Quality o Safety improvement o Reimbursement o Accreditation o Exchanging clinical information
  • 8. © 2013 Types of Data Sets • Data sets required or recommended by the federal government o Uniform Hospital Discharge Data Set (UHDDS) • Short-term general hospitals • Collected from every hospital inpatient • Required by federal government • Used in DRGs • Data elements listed in figure 4.1
  • 9. © 2013 Uniform Ambulatory Care Data Set • Patients depart from facility on same day • Includes physician offices, outpatient hospital clinics and diagnostic services and more • Reasons for decrease in inpatient hospitalizations o Technological advancements o Third-party reimbursement for outpatient services o Medicare prospective payment system (PPS) limits
  • 10. © 2013 Uniform Ambulatory Care Data Set • Some data elements similar to UHDDS • Specific ambulatory data elements o Reason for encounter • Optional data elements o Living arrangements o Marital status • See figure 4.2 10
  • 11. © 2013 Uniform Ambulatory Care Data Set • Goal of UACDS is to improve data comparison • Provides uniform definitions that help analyze patterns of care • Recommended by federal government 11
  • 12. © 2013 Minimum Data Set for Long-Term Care and Resident Assessment Protocols • Used in long-term care • Mandated by Medicare and Medicaid 12
  • 13. © 2013 Minimum Data Set for Long-Term Care and Resident Assessment Protocols • Three components o Minimum Data Set for Long-Term Care– Version 3.0 o Care Area Assessment process o RAI utilization guidelines
  • 14. © 2013 Minimum Data Set for Long-Term Care and Resident Assessment Protocols • Core set of screening and assessment elements • Completed at admission and periodically thereafter • Far more extensive than other data sets • Used to create resident assessment protocol • Used to assess resident safety and quality improvement
  • 15. © 2013 Outcomes Assessment Set • Collects core data on Medicare home health patients • Used in measuring patient outcomes • Used as basis for home health reimbursement • Determines if patient can be discharged or transferred from home care.
  • 16. © 2013 Healthcare Effectiveness Data and Information Set o Sponsored by National Committee for Quality Assurance o Used to compare performance of managed healthcare plans o Collects administrative, claims and health record review data
  • 17. © 2013 Healthcare Effectiveness Data and Information Set • Basis of performance improvement efforts for health plans • Develops physician profiles • Abstracted from health record in hospitals and clinics o Combined with enrollment and claims data • Population-based data collection tool 17
  • 18. © 2013 Data Elements for Emergency Departments • Published by the Centers for Disease Control • Support uniform collection of data in hospital-based emergency departments • Recommends both content and structure of data elements • Utilizes national standards for electronic data interchange
  • 19. © 2013 Data Elements for Emergency Departments • Incorporates national standards for electronic data interchange 19
  • 20. © 2013 Joint Commission Core Measures for ORYX • ORYX integrates outcomes data and other performance measures • Promotes comprehensive, continuous, data-driven accreditation process
  • 21. © 2013 Joint Commission Core Measures for ORYX • Core measures based on selected diagnoses/conditions o Example: Diabetes
  • 22. © 2013 Data Sets for Interoperative Electronic Information Exchange • Meaningful use requires submission of information on clinical quality measures • Health Information Technology Expert Panel o Quality Data Model • Defines concepts used in quality measures and clinical care • Automates structured data capture in EHR and other systems • QDM element
  • 23. © 2013 Data Sets for Interoperative Electronic Information Exchange • ASTM International identified core data set for patient’s clinical summary o Continuity Care Record o See figure 4.3 • Health Level 7 (HL7) o Clinical Document Architecture. • Exchange model for clinical documents • Documents are machine readable 23
  • 24. © 2013 Data Sets for Interoperative Electronic Information Exchange • Continuity of Care Document • Transition of care initiative o Clinical information model 24
  • 25. © 2013 Standards for Electronic Data and Electronic Data Interchange • UHDDS, UACDS, and others were designed for paper records • New standards are being developed for the EHR o EHR development o Interoperability o Information exchange
  • 26. © 2013 Definition of Data Standard for Electronic Data Exchange • Data standard provide acceptable values for data fields • Data exchange standards are protocols that ensure data transmitted from one system to another remain comparable • Transmission standards support format and sequence of data during transmission
  • 27. © 2013 HIPAA Administrative Simplification • Standardized information exchange • ANSI ASC X12N o Current version 5010 • Code sets
  • 28. © 2013 Data Needs in an Electronic Environment • Must be able to integrate data from multiple systems o Internal and external
  • 29. © 2013 Benefits of Data Exchange Standards • Describe accepted methods for collecting, maintaining and/or transferring healthcare data among computer systems
  • 30. © 2013 Standards Provide Common Language That is Used to • Exchange information • Share information • Communicate within and across disciplines and settings • Integrate disparate data systems • Compare information at a regional, national, and international level • Link data in a secure environment
  • 31. © 2013 This ability allows for • Disease surveillance • Health and healthcare population monitoring • Outcomes research • Decision making and policy development
  • 32. © 2013 Benefits of Data Exchange Standards • Many standards required to implement EHR • Infrastructure supports o Connectivity o Interoperability o Seamless data interchange 32
  • 33. © 2013 American Recovery and Reinvestment Act • Made ONC a permanent office o Help develop national health IT infrastructure • Provided funds for standards, health information exchange and implementation assistance • Established standards, implementation specifications and certification criteria for certification of EHR technology
  • 34. © 2013 Health Information Technology Policy Committee and HIT Standards Committee • HIT Policy Committee o Recommends to the National Coordinator on a policy framework for the development and adoption of a national health information technology infrastructure • HIT Standards Committee o Recommends to the National Coordinator on standards, implementation specifications and certification criteria for electronic exchange and use of health information
  • 35. © 2013 Standards Development, Coordination, Testing, and Harmonization • Standard supports business process and o Be agreed upon by group of experts o Be publically vetted o Provide rules, guidelines, or characteristics o Help ensure materials, products, processes, and services are fit for their intended purpose o Be available in an accessible format o Be subject to ongoing review and revision process
  • 36. © 2013 Harmonization • Process of replacing standards and policies adopted by nations with uniform global standards • Refers to information technology standards • Standards development organizations o HL7 o ASTM o ANSI • Coordinates development of other SDOs
  • 37. © 2013 Types of Standards • Structure and content standards o Uniform definitions of data elements o Examples • American Society for Testing and Materials International Standard E1384-02a07 o Content and structure for EHR • HL7 EHR-S Functional Model and Standards o Exchange, integration, sharing, and retrieval of electronic health information
  • 38. © 2013 Type of Standards • Content Exchange Standards o Provide rules of how data are transmitted o Examples • Continuity Care Record – Relevant current and past information about health status and treatment • Clinical Document Architecture – Exchange model for clinical documents • Continuity of Care Document 38
  • 39. © 2013 Institute of Electrical and Electronics Engineers 1073 • Open systems communications in healthcare applications o Beside medical devices and healthcare sysetms 39
  • 40. © 2013 Digital Imaging and Communication in Medicine • Permits interchange of biomedical image form forms and related information • Interoperability messaging standard for imaging 40
  • 41. © 2013 Vocabulary Standards • Include vocabularies, code sets, and nomenclatures • Vocabulary standards provide common definitions for medical terms 41
  • 42. © 2013 Privacy and Security Standards • Implemented throughout healthcare • Protects personal health information 42
  • 43. © 2013 Emerging Health Information Standards • Extensible Markup Language (XML) o Universal language to facilitate storage and transmission of data published on the Internet o Metadata Standards oMetadata oSupports descriptive data that characterize other data to provide clearer understanding
  • 44. © 2013 Role of HIM Professional • Conducting data content standards requirements analysis • Developing local data dictionary to support enterprise-wide interoperability • Advancing the development of data content standards • Contributing to domain knowledge by participating in relevant professionals association work • Contributing to the development and harmonization of industry and professional standards