R1 Flashcards
(162 cards)
Data governance
procedures and plans are available, and it encompasses security of structured and unstructured information
Data Governance Includes
authority
decision making
Accountability
OECD
Organization for economic cooperation and development
Goes over the relationship between Board of Directors managers and shareholders, etc.
Data Governance Vs. Information Governance
- Data governance goes over the input of information.
- Information governments goes over how information is used and analyzed
Data lifecycle management
Data planning, data inventory, and evaluation, capture, data transformation and processing, data access and distribution, data maintenance, data archival. And data distribution And data destruction.
Data architecture management:
- Defined as specifications used to describe as existing state, defined data requirements, guide, data integration, and control data. Assets as put forth in a data strategy.
- Include establishing data standards, policies, and procedures for the collection, storage, and integration of enterprise data and design of information systems.
- Identifying and documenting data requirements that meet the needs and support the process of the organization.
- Developing and maintaining enterprise and conceptual data and process models that represent the organization’s business rules.
Artifacts
.: developed through architecture, data management such as data models, use cases, data flow diagrams, and data dictionaries are as important to data management as the blueprints prepared by an architect are to a building design and maintenance.
Metadata management
- structured information used to increase the effective use of data. Metadata is easier to locate, retrieve, use, and manage. Data Element name, data type, and field length are examples of Metadata That is used to describe data in databases.
- Plays an important role in achieving interoperability among different computer systems and providing search and navigation capabilities.
Metadata management functions requiring data governance include the following:
managing data dictionaries.
Establishing enterprise metadata strategy.
Developing policies, goals and objectives to our metadata management and use.
Adopting metadata standards.
Establishing and implementing metadata metrics.
Monitoring procedures to ensure metadata policy implementation.
Master data management:
- refers to master data that an enterprise maintains about key business entities, such as customers, employees, or patients, and to reference data that is used to classify other data or identify allowable values for data such as codes for state abbreviations or products.
- A good example of master data is the master patient index that includes master data on the key entity.: the patient., usually includes patient, medical record number, patient last, middle, and first names, birthday, gender, and address.
Content management
encompasses managing growth structure data. For example, data stored in databases and unstructured data such as data contained in text documents.
Data security management:
process in which organizations implement protection measures and tools for safeguarding data and information from unauthorized accidental or intentional modification, destruction, or use.
Information, intelligence and big data:
business intelligence is defined as a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprises are users make Better Business decisions.
Data quality management:
characterized as continuous process setting standards, building quality into the processes that create, transform, and store data, and measuring data against standards.
Terminology and classification management:
consists of the processes for managing the breadth of healthcare terminologies, vocabularies, classification system, and data sets that an organization may use and also serves as terminology authority for the enterprise.
American College of Surgeons and the Joint Commission:
ACS provided the impetus for standardizing health records when it developed minimum standards for hospitals early in the 20th century.
The Joint Commission (TJC) is the
successor organization to the ACS in the area of standardization. In a joint effort of the ACS American College of Physicians, American Medical Association and American Hospital Association The Joint Commission was able to Accredit hospitals before they existed.
The Joint Commission surveyors
routinely review the health records of current patients to obtain knowledge about the facilities, performance and process of care.
Internal standards:
-bylaws, rules, and regulations are developed by the medical staff and approved by the board of trustees, or governing body in health care facilities.
The bylaws outline
the content of patient health records, identify the exact personnel who can enter the information and health records, and may restate applicable Joint Commission and other requirements. They also describe the time limits for completing patient health records.
Definition of the health record:
- the health record must outline and justify the patients treatment, support, diagnosis of the patient’s condition, described the patients progress in response to medication and services, and explain the outcomes of the care provided.
- Health record itself is the property of the health care facility.
The longitudinal health care record
The Longitudinal health care record is a record compiled about an individual that contains health records from various encounters and from numerous healthcare delivery settings.
Responsibility for quality documentation:
-ensuring data accuracy of health record content is one of the primary responsibilities of the HIM professional
The provider of care is responsible for ensuring that entries made in the record
are of high quality. Please look at page 106 guideline. figure 4.1.