Chapter 3 - Data Governance Stewardship Flashcards
Accountability
The state of being liable for a specific activity; all information is attributable to it source (person or device).
Artifacts
Developed through architecture data management such as data models, use cases, data flow diagrams, and data dictionaries, these abstractions and models are used describe data and the relationships among data and the processes they support.
Business case
An economic argument, or justification, usually for a capital expenditure.
Business intelligence (BI)
The end product or goal of knowledge management.
Content Management
The management of digital and analog records using computer equipment and software. It encompasses two related organizationwide roles: content management and records management.
Controls
One of the four management functions in which performance is monitored in accordance with organizational policies and procedures.
Cross-functional
A term used to describe an entity or activity that involves more than one healthcare department, service area, or discipline.
Data architecture
An integrated set if specification artifacts (models and diagrams) used to define data requirements, guide integration and control of data assets, and align data investments with business strategy.
Data governance
The overall management of the availability, usability, integrity, and security of the data employed in an organization or enterprise.
Data governance steering committee
Composed of representatives from various business or functional organizational units, this group serves as the coordinating body for the data governance (DG) program; it develops the goals of the DG programs, identifies and sequences project and task priorities, coordinates the data steward committees, monitors DG program outcomes, recommends policy and standards, and reports the status of the DG program to the executive data governance council
Data governance office (DGO)
Led by an individual with the title of chief data officer (CDO) or data governance program director, among the responsibilities of the DGO are: providing centralized communication and archive for data governance (DG) initiatives; working with stakeholders, coordinating DG initiatives; facilitating and coordinating data steward committees, task forces, and meetings; supporting the data governance council; and collecting and analyzing DG metrics
Data life cycle
Made up of a series of successive stages and has beginning and end points, a typical cycle includes the following stages: data planning, data inventory and evaluation, data capture, data transformation and processing, data access and distribution, data maintenance, data archival, and data destruction
Data quality management
The business processes that ensure the integrity of an organization’s data during collection, application (including aggregation), warehousing, and analysis; a continuous process for defining the parameters for specifying acceptable levels of data quality to meet business needs, and for ensuring that data quality meets these levels
Data security
The process of keeping data, both in transit and at rest, safe from unauthorized access, alteration, or destruction
Data security management
Policies and procedures that address confidentiality and security concerns of organizational stakeholders (for example. Patients, providers, and employees) protecting organizational proprietary interests, and compliance with government and regulatory requirements while accommodating legitimate access needs
Data stakeholders
Those who have an interest or stake in organizational data and can include customers, front line workers, business units, managers, executives, and even external groups such as state and federal agencies, accreditation bodies, and others
Data steward
An individual appointed with responsibility and accountability for data, usually in a specific domain
Data, information, knowledge, and wisdom (DIKW) hierarchy
An essential of computer information and library sciences, in this hierarchy data are facts and when a fact is related to some other fact (data), the relationship produces a piece of information; each level in the hierarchy is dependent on the previous levels
Decision rights
Appointing authority to specific individuals or categories of individuals to make data related decisions and designating when and how those decisions are made
Enterprise health information management
Ensuring the value of information assets, requiring an organization- wide perspective of information management functions; it calls for explicit structures, policies, processes, technology, and controls. 2. The infrastructure and processes to ensure the information is trustworthy and actionable
Executive data governance council
Committee or board that leads the data governance (DG) program and is responsible for making the business case for the DG program, providing the authorization for the DG program, establishing the program’s mission and scope, setting the program’s strategic direction, securing funding and resources for the program, and evaluating and measuring the overall program success
Framework
A conceptual structure for classifying, organizing, and showing interrelationships among activities used as a guide for taking action to achieve a goal
Goal
A specific description of the services or deliverable goods to be provided as the result of a business process
Information governance
The accountability framework and decision rights to achieve enterprise information management (EIM). IG is the responsibility of executive leadership for developing and driving the IG strategy throughout the organization. IG encompasses both data governance (DG) and information technology governance (ITG)
Iterative process
Process that initially prioritizes initiatives and focuses on small select business imperatives that quickly deliver value and expands as the program matures
Key performance indicators
A quantifiable measure used over time to determine whether some structure, process, or outcome in the provision of care to a patient supports high quality performance measured against best practice criteria
Master data management
Master data that an enterprise maintains about key business entities such as customers, employees, or patients, and reference data that is used to classify other data or identify allowable values for data such as codes for state abbreviations or products
Metadata
Descriptive data that characterize other data to create a clearer understanding of their meaning and to achieve greater reliability and quality of information. Metadata consist of both indexing terms and attributes. Data about data: for example, creation date, date sent, date received, last access date, last modification date.
Mission statement
A written statement that sets forth the core purpose and philosophies of an organization or group; defines the organization or group’s general purpose for existing
Planning
An examination of the future and preparation of action plans to attain goals; one of the four traditional management functions
Process
A systematic series of actions taken to create a product or service
Rules of engagement
Principles and regulations that specify the way that policy makers, data owners, data stewards and other stakeholders interact with each other
Stakeholder analysis
A process that identifies and analyses the attitudes or opinions of stakeholders
Strategic IM plan
The document in which the leadership of a healthcare organization identifies the organization’s overall mission, vision, and goals to help set the long-term direction of the organization as a business entity
Structured data
Data that are organized and easily retrievable and interpreted by traditional databases and data models; data that can be captured in a f ixed field; data that are comprised of values that can be stored as either numbers or a finite number of categories
Terminology and classification management
Processes for managing the breadth of healthcare terminologies, vocabularies, classification systems, and data sets that an organization may use; serves as a terminology authority for the enterprise
Unstructured data
Nonbinary, human-readable data
