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DAM463Sciences2 Unitsintermediate

Health Data Management

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.

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208h
Study Time
13
Weeks
16h
Per Week
none
Math Level
Course Keywords
Health DataData ManagementHealth Information SystemsData LifecycleMedical Records

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📚
Math Level
No Math
📖
Learning Type
Theoretical Focus

Course Topics

Key areas covered in this course

1

Health Data Concepts

2

Health Care Settings

3

Health Data Structure

4

Data Management Lifecycle

5

Health Information Systems

6

Data Processing and Storage

Total Topics6 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Health Data Analyst

Apply your skills in this growing field

Health Information Manager

Apply your skills in this growing field

Clinical Data Manager

Apply your skills in this growing field

Healthcare Administrator

Apply your skills in this growing field

Data Quality Specialist

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

HospitalsClinicsPublic Health OrganizationsInsurance CompaniesResearch Institutions

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Overview of Health Data Mnaagement

3h

Unit 1: What is Health Data?

3 study 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
2

Module 1: Overview of Health Data Mnaagement

3h

Unit 2: The Health Care Setting

3 study 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
3

Module 1: Overview of Health Data Mnaagement

3h

Unit 3: Health Care Delivery System

3 study 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
4

Module 1: Overview of Health Data Mnaagement

3h

Unit 4: Health Data Structure

3 study 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
5

Module 1: Overview of Health Data Mnaagement

3h

Unit 5: Health Data Representations and Coding

3 study 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
6

Module 2: Health Data Management Life Cycle

3h

Unit 1: Overview of Health Data Management Life Cycle

3 study 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
7

Module 2: Health Data Management Life Cycle

3h

Unit 2: Health Data Acquisition and Collection

3 study 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
8

Module 2: Health Data Management Life Cycle

3h

Unit 3: Health Data Processing

3 study 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
9

Module 2: Health Data Management Life Cycle

3h

Unit 4: Health Data Storage

3 study 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
10

Module 2: Health Data Management Life Cycle

3h

Unit 5: Health Data Retrieval

3 study 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
11

Module 3: Components of Health Data Management Systems

3h

Unit 1: Inputs to the Health Care Systems

3 study 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
12

Module 3: Components of Health Data Management Systems

3h

Unit 2: Processes of the Health Care Systems

3 study 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
13

Module 3: Components of Health Data Management Systems

3h

Unit 3: Outputs from the Health Care Systems

3 study 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.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all unit summaries and key definitions.

2

Focus on understanding the health data management lifecycle.

3

Practice applying data quality principles to different scenarios.

4

Create diagrams illustrating the components of health information systems.

5

Study the various types of health data management systems and their applications.

6

Review all Tutor-Marked Assignments (TMAs) and their solutions.

7

Allocate specific time slots for each module and unit to ensure comprehensive coverage.

8

Form study groups to discuss complex concepts and share insights.

9

Practice answering past exam questions to familiarize yourself with the exam format.

10

Prioritize understanding over memorization to effectively apply knowledge in the exam.

11

Create flashcards for key terms and definitions.

12

Use mind maps to connect different concepts and modules.

13

Focus on understanding the practical applications of health data management in real-world scenarios.

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