| A | B |
|---|
| Data Supply Chain | The process of moving data from its source to its end user across the data lifecycle. |
| Data Lifecycle | The stages data passes through from creation or acquisition to final disposition or archiving. |
| Data Generation/Capture | The data supply chain stage where data is created or captured through sources such as forms, applications, sensors, or manual entry. |
| Data Processing and Storage | The data supply chain stage where data is processed, transformed, aggregated, categorized, and stored. |
| Data Aggregation | Combining data into meaningful groups or categories to support analysis. |
| Data Categorization | Organizing data into categories to support quality, integrity, and consistency. |
| Data Access and Retrieval | The data supply chain stage where authorized personnel locate, view, and retrieve stored data using permissions and protocols. |
| Data Usage and Analysis | The data supply chain stage where data is used for decision-making, reporting, analytics, research, and compliance. |
| Data Retention and Preservation | The data supply chain stage where retention policies determine how long data is kept and how it is protected. |
| Data Disposal or Archiving | The final data supply chain stage where data is securely destroyed, deleted, or preserved for long-term storage. |
| Archiving | Preserving records for long-term storage and historical reference. |
| Stakeholders | People or groups involved in managing and governing data, such as managers, IT professionals, data custodians, and legal teams. |
| Data Custodian | A person or role responsible for protecting, maintaining, and managing data according to policies and requirements. |
| Governance | The structures, policies, and processes used to manage data and ensure security, compliance, and accountability. |
| Compliance | Following organizational policies, professional requirements, and legal or regulatory obligations. |
| Accuracy | The degree to which data is correct and free from error. |
| Accessibility | The ability of authorized users to access data when needed. |
| Reliability | The degree to which data can be trusted and used consistently. |
| Health Information Management Lifecycle | A seven-stage lifecycle for managing health information based on records and information management standards |
| Importance of the HIM Lifecycle | The stages are interdependent; missing any step will result in threat to personal health information and it's effective use |
| Information Management Planning | The HIM lifecycle stage involving planning for records needs, management requirements, users, and legislation. |
| Capture and Collection | The HIM lifecycle stage where information enters the facility through internal generation or external sources. |
| External Sources | Outside sources that provide information, such as other healthcare facilities, ambulance services, laboratories, legal services, or police services. |
| Preservation | The HIM lifecycle stage where information is protected to ensure integrity and availability for future use. |
| Access, Use, and Dissemination | The HIM lifecycle stage where access controls determine who may use or receive information. |
| Access Controls | Rules or safeguards used to grant or deny access to information based on predetermined criteria. |
| Maintenance and Protection | The HIM lifecycle stage focused on keeping information accurate, secure, and accessible. |
| Disaster Recovery Plan | A plan used to protect and restore access to information during or after an emergency. |
| Continuous Improvement | Ongoing improvement of information management processes and systems. |
| DIKW Hierarchy | The Data, Information, Knowledge, and Wisdom hierarchy showing how each level adds meaning and value. |
| Data | Raw facts and figures with no inherent meaning, such as characters, text, images, numbers, or symbols. |
| Information | Data that has been organized or processed to provide context and meaning. |
| Knowledge | The body and application of information and facts about a specific subject. |
| Wisdom | The ability to use knowledge and experience to make insightful decisions. |
| Metadata | Descriptive data or information that provides context and details about other data. |
| Descriptive Information | Metadata that describes content, structure, and context, such as title, author, creation date, or format. |
| Context and Meaning | Information that helps users understand the origin, purpose, quality, relevance, and significance of data. |
| Accessibility and Discovery | The use of metadata to make data easier to search, locate, retrieve, and understand. |
| Interoperability | The ability of systems or platforms to exchange, share, integrate, and understand data. |
| Data Management | The organized control, storage, use, and governance of data. |
| Data Governance | Management and control practices that help track data lineage, origin, integrity, and appropriate use. |
| Data Lineage | Information showing the origin and movement of data over time. |
| Enhanced Data Understanding | Improved ability to interpret data through information about its structure, relationships, and meaning. |
| Decision-Making | Using data, information, knowledge, or wisdom to choose appropriate actions or plans. |
| Analytics | The analysis and interpretation of data to identify insights, patterns, or trends. |
| Research | The systematic use of data or information to investigate questions and generate new knowledge. |
| Disease Surveillance | The use of health information to monitor disease patterns and support public health planning. |
