| CODE | PHL5600 | ||||||||
| TITLE | Digitalisation of Clinical Processes | ||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||
| MQF LEVEL | 7 | ||||||||
| ECTS CREDITS | 5 | ||||||||
| DEPARTMENT | Public Health | ||||||||
| DESCRIPTION | This unit will introduce students hailing from health and ICT backgrounds to the synergies that exist and continue to develop between clinical medicine and information & communication technologies. Different clinical settings will be explored, including hospital, community and home. Issues that cut across all clinical sectors will be tackled, including patient-centricity, data security, clinical semantics and practical implementation issues. Study-unit Aims: This study-unit aims to give students from various professional backgrounds the opportunity to explore the facts, principles, concepts and theories related to the digitalisation of clinical processes with new insights into the challenges of modern health care within the sphere of digital health. This study unit aims to look into the following subjects: - Use of electronic patient records in hospitals; - Digitalisation of clinical support functions; - Use of electronic patient records in family medicine; - Use of electronic patient records for primary care; - Patient-centric records spanning the health ecosystem; - Portals for direct patient access to health data; - Direct interaction of patients with clinical devices; - The role and importance of digital health literacy; - Cross-border exchange of clinical records; - Clinical semantics; - Security of health data; - Clinical knowledge bases; - Decision support systems at the clinical interface; - Practical implementation issues in digitalisation of clinical processes. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - Explain how digital data processing has been integrated with clinical processes in a variety of healthcare settings, including hospital, family medicine and the home; - Identify what data assets are created during clinical processes, and discuss how these are managed, shared and accessed; - Critically evaluate the challenges involved in the implementation of clinical information systems, and the benefits realised from these systems; - Discuss and construct applied theories pertaining to the role of patient empowerment in digital health, and its dependency on ability, motivation and opportunity. 2. Skills By the end of the study-unit the student will be able to: - Analyse the interdependence between clinical medical processes and digital data processing systems; - Optimise the use of digital systems and assets if and when involved in clinical processes; - Implement and support clinical information systems effectively. Main Text/s and any supplementary readings: Main Texts: - Consoli, S., Reforgiato Recupero, D. and Petkovic, M., 2019. Data science for healthcare : methodologies and applications. 1st ed. Switzerland: Springer. - Coieri, E., 2015. Guide to Health Informatics. 3rd ed. Melbourne: CRC press. - Nelson, R. and Staggers, N., 2017. Health Informatics: An Interprofessional Approach. 2nd ed. Pennsylvania: Mosby. |
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| STUDY-UNIT TYPE | Lecture and Practicum | ||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Hugo Agius Muscat |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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