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© 2020 AHIMA
ahima.orgahima.org
Health Information
Management: Concepts,
Principles, and Practice
Sixth Edition
Chapter 6
Data Management
© 2020 AHIMA
ahima.org
Data and Data Sources
• Primary data source: Patients’ health records
• Secondary data source: Registries and other
databases
• Patient-identifiable data: Data that can be linked to
a specific individual
• Aggregate data: Data on groups of individuals that
do not identify specific individuals
2
© 2020 AHIMA
ahima.org
Users of Secondary Data
• Internal Users
• Medical staff
• Administrative staff
• Management staff
• External Users
• Researchers
• Public health agencies
• State and federal databases
• Local governments collecting vital statistics such as birth
and death rates
4
© 2020 AHIMA
ahima.org
Facility-Specific Indexes
• Master patient/population index
• Disease index
• Operation index
• Physician index
5
© 2020 AHIMA
ahima.org
Registries Defined
• Disease registries: Collections of secondary data
related to patients with a specific diagnosis,
condition, or procedure
• Case definition: Description of the cases to be
included in a disease registry
• Case finding: Process of identifying patients who
have been treated for the condition defined as the
subject of the registry
6
© 2020 AHIMA
ahima.org
Registries
• Cancer registries
• Trauma registries
• Birth defects registries
• Diabetes registries
• Implant registries
• Transplant registries
• Immunization registries
7
© 2020 AHIMA
ahima.org
Cancer Registries
• Facility-based registries
• Population-based registries
• Case definition and case finding
• Data collection
• Accession numbers and accession registries
• Demographic information
• Staging systems
8
© 2020 AHIMA
ahima.org
Cancer Registries
• Reporting and follow-up
• Standards and agencies for approval
• American College of Surgeons
• North American Association of Central Cancer Registries
(NAACCR)
• Centers for Disease Control and Prevention (CDC)
• Education and certification for cancer registrars
• Certified Cancer Registrar (CTR)
9
© 2020 AHIMA
ahima.org
Trauma Registries
• Case definition and case finding
• Data collection
• Abbreviated injury scale (AIS)
• Injury severity score (ISS)
• Reporting and follow-up
• Standards and agencies for approval
• American College of Surgeons
• Education and certification for trauma registrars
• Certified Specialist in Trauma Registry (CSTR)
10
© 2020 AHIMA
ahima.org
Birth Defects Registries
• Case definition and case finding
• Data collection
11
© 2020 AHIMA
ahima.org
Diabetes Registries
• Case definition and case finding
• Data collection
• Reporting and follow-up
12
© 2020 AHIMA
ahima.org
Implant Registries
• Data collection
• Reporting and follow-up
13
© 2020 AHIMA
ahima.org
Transplant Registries
• Case definition and case finding
• Data collection
• Reporting and follow-up
14
© 2020 AHIMA
ahima.org
Immunization Registries
• Case definition and case finding
• Data collection
• Reporting and follow-up
• Standards and agencies for approval
• Centers for Disease Control and National Immunization
Program
15
© 2020 AHIMA
ahima.org
Other Registries
• Registries may be developed for any type of disease
or condition
• Examples of emerging registries include
• HIV/AIDS
• Cardiac
• Gastroenterology
• Sudden unexpected infant death (SUID)
• National Provider Identifier (NPI)
16
© 2020 AHIMA
ahima.org
Database Management and Design
• Relational Databases
• Conceptual, logical, and physical design
• Entity Relationship Modeling
• Entity, attributes, and relationships
• Database Implementation
• Structured Query Language (SQL)
• NoSQL Data Model
17
© 2020 AHIMA
ahima.org
Healthcare Databases
• National and state administrative databases
• Medicare Provider Analysis and Review File (MEDPAR)
• National Practitioner Data Bank (NPDB)
• State administrative databases
• National, state, and county public health databases
18
© 2020 AHIMA
ahima.org
Healthcare Databases
• National Health Care Survey
• National Hospital Care Survey (NHCS)
• National Survey of Ambulatory Surgery
• National Nursing Home Survey
• National Home and Hospice Care Survey
19
© 2020 AHIMA
ahima.org
Healthcare Databases
• Vital statistics databases: births, deaths, fetal
deaths, marriages, and divorces
• Clinical trials databases
• ClinicalTrials.gov
• Health services research databases
• Agency for Healthcare Research and Quality (AHRQ)
• Healthcare Cost and Utilization Project (HCUP)
• National Library of Medicine
• Medical Literature, Analysis, and Retrieval System Online
(MEDLINE)
• Unified Medical Language System (UMLS)
20
© 2020 AHIMA
ahima.org
Processing and Maintenance of Secondary
Databases
• Manual versus automated methods of data
collection
• Vendor systems versus facility-specific systems
• Data security and confidentiality issues
21
© 2020 AHIMA
ahima.org
Trends in the Collection of Secondary Data
• Increased use of automated data entry
• More stakeholder involvement in national policy
regarding secondary data
• HIM role in stewardship of secondary data
22
© 2020 AHIMA
ahima.org
Data Quality
• Data quality standards
• MRI Principles of Healthcare Documentation
• AHIMA Data Quality Model
• Data quality requirements
23
© 2020 AHIMA
ahima.org
Data Dictionaries
• Types
• Database management system
• Organization-wide
• Development guidelines
24

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HM480 Ab103318 ch06

  • 1. © 2020 AHIMA ahima.orgahima.org Health Information Management: Concepts, Principles, and Practice Sixth Edition Chapter 6 Data Management
  • 2. © 2020 AHIMA ahima.org Data and Data Sources • Primary data source: Patients’ health records • Secondary data source: Registries and other databases • Patient-identifiable data: Data that can be linked to a specific individual • Aggregate data: Data on groups of individuals that do not identify specific individuals 2
  • 3. © 2020 AHIMA ahima.org Users of Secondary Data • Internal Users • Medical staff • Administrative staff • Management staff • External Users • Researchers • Public health agencies • State and federal databases • Local governments collecting vital statistics such as birth and death rates 4
  • 4. © 2020 AHIMA ahima.org Facility-Specific Indexes • Master patient/population index • Disease index • Operation index • Physician index 5
  • 5. © 2020 AHIMA ahima.org Registries Defined • Disease registries: Collections of secondary data related to patients with a specific diagnosis, condition, or procedure • Case definition: Description of the cases to be included in a disease registry • Case finding: Process of identifying patients who have been treated for the condition defined as the subject of the registry 6
  • 6. © 2020 AHIMA ahima.org Registries • Cancer registries • Trauma registries • Birth defects registries • Diabetes registries • Implant registries • Transplant registries • Immunization registries 7
  • 7. © 2020 AHIMA ahima.org Cancer Registries • Facility-based registries • Population-based registries • Case definition and case finding • Data collection • Accession numbers and accession registries • Demographic information • Staging systems 8
  • 8. © 2020 AHIMA ahima.org Cancer Registries • Reporting and follow-up • Standards and agencies for approval • American College of Surgeons • North American Association of Central Cancer Registries (NAACCR) • Centers for Disease Control and Prevention (CDC) • Education and certification for cancer registrars • Certified Cancer Registrar (CTR) 9
  • 9. © 2020 AHIMA ahima.org Trauma Registries • Case definition and case finding • Data collection • Abbreviated injury scale (AIS) • Injury severity score (ISS) • Reporting and follow-up • Standards and agencies for approval • American College of Surgeons • Education and certification for trauma registrars • Certified Specialist in Trauma Registry (CSTR) 10
  • 10. © 2020 AHIMA ahima.org Birth Defects Registries • Case definition and case finding • Data collection 11
  • 11. © 2020 AHIMA ahima.org Diabetes Registries • Case definition and case finding • Data collection • Reporting and follow-up 12
  • 12. © 2020 AHIMA ahima.org Implant Registries • Data collection • Reporting and follow-up 13
  • 13. © 2020 AHIMA ahima.org Transplant Registries • Case definition and case finding • Data collection • Reporting and follow-up 14
  • 14. © 2020 AHIMA ahima.org Immunization Registries • Case definition and case finding • Data collection • Reporting and follow-up • Standards and agencies for approval • Centers for Disease Control and National Immunization Program 15
  • 15. © 2020 AHIMA ahima.org Other Registries • Registries may be developed for any type of disease or condition • Examples of emerging registries include • HIV/AIDS • Cardiac • Gastroenterology • Sudden unexpected infant death (SUID) • National Provider Identifier (NPI) 16
  • 16. © 2020 AHIMA ahima.org Database Management and Design • Relational Databases • Conceptual, logical, and physical design • Entity Relationship Modeling • Entity, attributes, and relationships • Database Implementation • Structured Query Language (SQL) • NoSQL Data Model 17
  • 17. © 2020 AHIMA ahima.org Healthcare Databases • National and state administrative databases • Medicare Provider Analysis and Review File (MEDPAR) • National Practitioner Data Bank (NPDB) • State administrative databases • National, state, and county public health databases 18
  • 18. © 2020 AHIMA ahima.org Healthcare Databases • National Health Care Survey • National Hospital Care Survey (NHCS) • National Survey of Ambulatory Surgery • National Nursing Home Survey • National Home and Hospice Care Survey 19
  • 19. © 2020 AHIMA ahima.org Healthcare Databases • Vital statistics databases: births, deaths, fetal deaths, marriages, and divorces • Clinical trials databases • ClinicalTrials.gov • Health services research databases • Agency for Healthcare Research and Quality (AHRQ) • Healthcare Cost and Utilization Project (HCUP) • National Library of Medicine • Medical Literature, Analysis, and Retrieval System Online (MEDLINE) • Unified Medical Language System (UMLS) 20
  • 20. © 2020 AHIMA ahima.org Processing and Maintenance of Secondary Databases • Manual versus automated methods of data collection • Vendor systems versus facility-specific systems • Data security and confidentiality issues 21
  • 21. © 2020 AHIMA ahima.org Trends in the Collection of Secondary Data • Increased use of automated data entry • More stakeholder involvement in national policy regarding secondary data • HIM role in stewardship of secondary data 22
  • 22. © 2020 AHIMA ahima.org Data Quality • Data quality standards • MRI Principles of Healthcare Documentation • AHIMA Data Quality Model • Data quality requirements 23
  • 23. © 2020 AHIMA ahima.org Data Dictionaries • Types • Database management system • Organization-wide • Development guidelines 24