2. Data Management
What is Data?
Data Sources
Data Dictionary
Review of Data Sets
Databases
Data Mapping
Data Lifecycle
Data Governance
Information Governance
3. ▪ Apply knowledge pertaining to health
data management and governance.
▪Define and describe healthcare data set.
▪Identify different sources of health data.
▪Explain AHIMA's principles of Information Governance.
4. ▪ The definition and structure of data elements and the creation, storage, and
transmission of data elements
▪ Organizations need to know and understand
▪ How data is produced
▪ Why certain types and formats of data are produced
▪ How data are stored and managed
▪ How to ensure data integrity
5. ▪ Data – Data Element
▪ (Data – plural of Datum)
▪ Information
6. ▪ Electronic health record (EHR)
▪ Practice management system
▪ Lab information systems
▪ Radiology information systems
▪ Picture archival and communications (PACs)
▪ Other clinical documentation systems (home health, therapy, long-term care)
▪ Master patient index
▪ Other patient index (indices)
▪ Databases
▪ Registries
(AHIMA, 2014)
7. A listing of all the data elements within a specific
system that defines each individual data element,
standard input of the data element, and specific data
length
9. ▪ A recommended list of data elements that have defined and uniform definitions that
are specific to a type of healthcare industry
▪ Common Data Sets in Healthcare
▪ Uniform Hospital Discharge Data Set (UHDDS)
▪ Uniform Ambulatory Care Data Set (UACDS)
▪ Data Elements for Emergency Department Systems (DEEDS)
▪ Minimum Data Set (MDS)
▪ Outcomes and Assessment Information Set (OASIS)
▪ Essential Medial Data Set (EMDS)
10. ▪ Data collected by acute care, short-term stay hospitals – Started mid 1970’s
▪ Core data elements
Examples:
Personal ID
DOB
Race/Ethnicity
Principle diagnosis
11. ▪ Ambulatory care settings
▪ Intent to improve data comparison across different settings of healthcare
14. ▪Collected on Medicare beneficiaries receiving skilled
services from a Medicare-certified home health agency
▪RN and therapists collect the data
▪Home health agency process and improvement outcome
measures based on OASIS data
16. ▪ A collection of data that are organized in such a way that its contents can be easily
accessed, managed, reported, and updated
▪ Types of Databases
▪ Relational database - stores data in tables that are predefined and contain both rows and
columns of information
▪ Object-oriented database - is designed to store different types of data including images,
audio files, documents, videos, and data elements. OODBs are useful for storing fetal
monitoring strips, electrocardiograms, PACs, and more
17. ▪ A process that allows for connections
between two systems.
▪ Source Data
▪ Location from which the data originates,
such as a database or a data set
▪ Target Data
▪ Location from which the data is mapped or
to where it is sent
18. ▪ Initial study (determining need for database)
▪ Design (identify data fields, structure, and so forth)
▪ Implementation (development of database)
▪ Testing and evaluation (ensuring system works as expected)
▪ Operation (use of database)
▪ Database maintenance and evaluation (updating and backing up database and
ensuring that it still meets needs)
19. ▪Process for ensuring that control and accountability
for enterprise data management is established
through out an organization
▪Focuses on how healthcare organizations create
processes, policies, and procedures for keeping
information that is relevant to patient care and
healthcare operations
(AHIMA, 2014)
20. ▪ Data models
▪ Metadata management
▪ Master data management
▪ Content management
▪ Data security management
▪ Data quality management
21. An organization-wide framework for managing information
throughout its lifecycle and supporting the organization’s
strategy, operations, regulatory, legal, risk, and
environmental requirements
(AHIMA,2014)
22. ▪ Release of Information
▪ Retention & disposal policies
▪ Documentation requirements
▪ Legal hold
▪ Regulatory compliance
▪ Records management
▪ Ethical use of information
▪ Intellectual property ownership
23. ▪Data Governance - Focus on governing the
integrity of input (data)
▪Information Governance – Focus on governing
the way information is used, analyzed, and
shared
24. Time Frame Knowledge Doubling Rate
Before 1900 Doubling approximately every century
End of WWII - 1945 Doubling every 25 years
2013 – Clinical Knowledge Doubling every 18 months
2013 – Human Knowledge Doubling every 13 months
Now… Doubling every 12 hours
IBM, 2013
Learning Solutions, 2020
Tech Target, 2021
DataDiversity, 2020
