Health Data Management
- Sciences
- 400 level
- 2 credit units
- 86 pages
- 17 units
This course introduces students to the fundamental principles of health data management within the context of data management. It covers the health care system, data representation, coding, and the health data management lifecycle. Students will learn about data acquisition, processing, storage, and retrieval, as well as the components and types of health data management systems. The course aims to equip students with the skills to effectively manage health data in the modern ICT environment.
About this course
- Difficulty
- Intermediate
- Study hours
- 208 hours
- Maths
- None
- Content
- Theoretical
- Practical work
- No
- Assignments
- Tutor marked assessments
- Final examination
What you'll read
The real module and unit structure of DAM463, taken from the course material NOUN publishes.
One paragraph, so you can see how it reads
DAM463 · UNIT 1 WHAT IS HEALTH DATA?
In this unit you will consider what health data is. You will also learn about data and information, as well as health data and health information.
What you should be able to do
- Describe the basic concepts of health data.
- Explain the various aspects of health data representation.
- Organize, store, and retrieve health data and information.
- Describe the process of health data management, its components, and systems.
- Apply data quality principles to health data management.
- Understand the ethical and legal considerations in health data management.
What it prepares you for
- Health Data Analyst
- Health Information Manager
- Clinical Data Manager
- Healthcare Administrator
- Data Quality Specialist
- Hospitals
- Clinics
- Public Health Organizations
- Insurance Companies
- Research Institutions
Where it gets hard
The units students slow down on, and what makes each one heavy.
- Module 2: Health Data Management Life Cycle
Unit 2: Health Data Acquisition and Collection
Understanding the nuances of data acquisition from various sources and ensuring data quality requires a comprehensive grasp of data validation techniques.
- Module 4: Types of Health Data Management Systems
Unit 3: Task-based Health Care Systems
Requires understanding of complex system interactions and data flow across different healthcare departments.
A suggested way through it
13 weeks, about 39 hours in total. Yours will differ.
- Week 1Module 1: Overview of Health Data Mnaagement
Unit 1: What is Health Data? · 3 hours
Understand the definitions of data, information, health data, and health information.. Differentiate between primary and secondary health data.. Discuss the importance of data accuracy and validity..
- Week 2Module 1: Overview of Health Data Mnaagement
Unit 2: The Health Care Setting · 3 hours
Define health and health care.. Describe the various components of the health care setting.. Identify different types of health care facilities and their associated health and safety issues..
- Week 3Module 1: Overview of Health Data Mnaagement
Unit 3: Health Care Delivery System · 3 hours
Define health care delivery system.. Describe the three-tier system of health care delivery in Nigeria.. Discuss the roles of primary, secondary, and tertiary health care levels.. Identify the various resources within the health care delivery system..
- Week 4Module 1: Overview of Health Data Mnaagement
Unit 4: Health Data Structure · 3 hours
Identify the four main categories of health data: textual description, numerical measurements, recorded signals, and images.. Explain the characteristics of each category and provide examples.. Discuss the implications of each data type for health data management..
- Week 5Module 1: Overview of Health Data Mnaagement
Unit 5: Health Data Representations and Coding · 3 hours
Explain the importance of health data representations and coding.. Describe the WHO Family of International Classifications (WHO-FIC).. Discuss various health data coding systems used in the USA..
- Week 6Module 2: Health Data Management Life Cycle
Unit 1: Overview of Health Data Management Life Cycle · 3 hours
Describe the four principal steps in the health data management life cycle: acquisition, processing, storage, and retrieval.. Discuss the importance of understanding the data source and its impact on data management.. Explain the fragility of digital health data and the need for shorter life cycles..
- Week 7Module 2: Health Data Management Life Cycle
Unit 2: Health Data Acquisition and Collection · 3 hours
Differentiate between primary and secondary health data collection.. Describe the categories of administrative data: demographic, legal, financial, and provider.. Explain the segments of clinical data for inpatients and non-inpatients.. Discuss the importance of hospital census data..
- Week 8Module 2: Health Data Management Life Cycle
Unit 3: Health Data Processing · 3 hours
Explain the importance of data processing and compilation.. Discuss the steps involved in extracting and integrating data.. Describe how data transformation adds value to source data.. Explain the process of transforming data into information and evidence..
- Week 9Module 2: Health Data Management Life Cycle
Unit 4: Health Data Storage · 3 hours
Discuss the importance of data storage media and bandwidth.. Explain the challenges of changing storage media and the need for media migration.. Describe the standards for data organization and storage: cataloguing, classification, database management, physical processing, and specialist data analysis..
- Week 10Module 2: Health Data Management Life Cycle
Unit 5: Health Data Retrieval · 3 hours
Define information retrieval (IR) in the healthcare setting.. Describe the factors affecting effective health information retrieval: user task and logical view of documents.. Explain the steps in the retrieval process: definition, transformation, indexing, initiation, specification, processing, ranking, examination, and feedback..
- Week 11Module 3: Components of Health Data Management Systems
Unit 1: Inputs to the Health Care Systems · 3 hours
Explain the six components of a health information system: resources, indicators, data sources, data management, information product, and dissemination and use.. Describe the inputs to the health care systems: coordination and leadership, information policies, financial and human resources, and infrastructure..
- Week 12Module 3: Components of Health Data Management Systems
Unit 2: Processes of the Health Care Systems · 3 hours
Describe the processes of the health information system: indicators, data sources, and data management.. Explain the three domains of health information: determinants of health, health system, and health status.. Discuss the different types of data sources: population-based and institution-based..
- Week 13Module 3: Components of Health Data Management Systems
Unit 3: Outputs from the Health Care Systems · 3 hours
Describe the outputs from the health care system: information products and dissemination and use of information.. Explain the importance of transforming data into information for decision-making.. Discuss the institutionalization of information use and demand..
Preparing for the exam
- Review all unit summaries and key definitions.
- Focus on understanding the health data management lifecycle.
- Practice applying data quality principles to different scenarios.
- Create diagrams illustrating the components of health information systems.
- Study the various types of health data management systems and their applications.
- Review all Tutor-Marked Assignments (TMAs) and their solutions.
- Allocate specific time slots for each module and unit to ensure comprehensive coverage.
- Form study groups to discuss complex concepts and share insights.
- Practice answering past exam questions to familiarize yourself with the exam format.
- Prioritize understanding over memorization to effectively apply knowledge in the exam.
- Create flashcards for key terms and definitions.
- Use mind maps to connect different concepts and modules.
- Focus on understanding the practical applications of health data management in real-world scenarios.
Questions students ask about this course
What is DAM463 about?
This course introduces students to the fundamental principles of health data management within the context of data management. It covers the health care system, data representation, coding, and the health data management lifecycle. Students will learn about data acquisition, processing, storage, and retrieval, as well as the components and types of health data management systems. The course aims to equip students with the skills to effectively manage health data in the modern ICT environment.
How many units does DAM463 have?
DAM463, Health Data Management, has 17 units across 4 modules, over 86 pages of course material. You can read it one unit at a time.
How many credit units is DAM463?
DAM463 carries 2 credit units, at 400 level in Sciences.
Is DAM463 hard?
DAM463 is rated intermediate level, with no mathematical content. It is mostly theoretical work.
How long does DAM463 take to study?
About 208 hours of study, spread across its 17 units.
How is DAM463 assessed?
DAM463 is assessed by assignments, tutor marked assessments and final examination.
What can I do with DAM463?
Health Data Analyst, Health Information Manager, Clinical Data Manager, Healthcare Administrator and Data Quality Specialist.