Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Data Analytics For Decision Making in Health And Social Care | |||
| Reference | CMM203 | Version | 1 |
| Created | October 2023 | SCQF Level | SCQF 11 |
| Approved | November 2024 | SCQF Points | 15 |
| Amended | ECTS Points | 7.5 | |
| Aims of Module | |||
|---|---|---|---|
| To enable students to understand how data analytics are used for healthcare decisions. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Analyse the different types of data and information systems found in healthcare. |
| 2 | Appraise the issues, developments and challenges of data, data analytics and digital technologies. |
| 3 | Evaluate the key elements and processes required for the practical design of a data implementation strategy. |
| 4 | Evaluate how descriptive and predictive data analytic technologies have the potential to add value within the modern healthcare environment. |
| 5 | Make an informed judgement on the application of healthcare data analytics for decision-making relating to their area of professional practice. |
| Indicative Module Content |
|---|
| AI; ethics; bioethics; different types of digital data and information systems; data sources and how data is captured; models for data management strategy, policies and processes; data visualisation, data storage and databases; interrogation of data for healthcare services, trust, transparency, safety, social bias. |
| Module Delivery |
|---|
| Part-time course - Delivered via Moodle with online tutorials and asynchronous discussions. Full-time course - Blended learning approach of on-campus tutorials supplemented by online learning. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 30 | 30 |
| Non-Contact Hours | 120 | 120 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Practical Exam | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4, 5 |
| Description: | Online presentation | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighting of C1. An overall minimum grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | The student needs to achieve an A in C1. |
| B | The student needs to achieve a B in C1. |
| C | The student needs to achieve a C in C1. |
| D | The student needs to achieve a D in C1. |
| E | The student needs to achieve an E in C1. |
| F | The student needs to achieve an F in C1. |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | Morr, C. and Ali-Hassan, H. (2019) Analytics in Healthcare: A Practical Introduction |
| 2 | Albright, S. and Winston W. (2020) Business Analytics: Data Analysis and Decision Making. Cengage |
| 3 | Crane, A. and Matten D. (2019) Business ethics: managing corporate citizenship and sustainability in the age of globalization. Oxford : Oxford University Press |
| 4 | SCOTTISH GOVERNMENT, 2023. Health and social care: data strategy. Edinburgh: Scottish Government. |
| 5 | Marckmann, G., Stech, D., Hirchberg, I. (2013) Ethics in Public Health and Health Policy: Concepts, Methods, Case Studies. Dordrecht: Springer Netherlands |