Clinical Information Systems
Clare is a Lecturer in the School of Pharmacy at Newcastle University. In this role, she teaches across a range of pharmacy practice modules. She previously worked on a large project spearheaded by Alzheimer’s Research UK to use commercially available digital tools in the early detection of neurodegenerative diseases. She was previously the project manager of a large programme of work funded by an EU Horizon 2020 grant. She engages with patient and public involvement groups, has been involved in the implementation of a healthcare intervention on a large hospital Trust, performs data collection and analysis and evaluates digital tools for their usability in acceptability. Clare received her PhD from, Durham University in2018, entitled “An investigation of healthcare professionals’ experiences of training and using electronic prescribing systems” as part of which, she undertook four literature reviews and two qualitative studies in the UK hospital context. Clare is a Registered Pharmacist, Fellow of the Faculty of Clinical Informatics, has a Certificate in Clinical Pharmacy and is a Fellow of the Higher Education Academy.
Clinical Information Systems
This course will begin with an overview of Clinical Information System (CIS) in healthcare and take the learners through the different types of CIS in practice.
The course will then focus on Clinical Decision Support System (CDSS) as a specific type of CIS. With the context of CDSS, learners will learn about the key considerations in the different stages of CIS development including design, implementation and evaluation. As the course progresses, learners will be able to analyse how CDSS assist human-decision making and lead to improved care outcomes.
The course covers:
- Introduction to Clinical Information Systems (CIS) in healthcare
- Overview of CIS at different stages of care delivery (diagnostic, prescribing, administration, monitoring, patient facing)
- Clinical Decision Support Systems (CDSS) and their applications in practice
- Enablers and barriers to the adoption of CDSS
- Examples of designing and implementing CIS for clinical decision support
- Different approaches: Active and Passive; workflow considerations
- ‘Building blocks’ of CDSS – leveraging data within the EHR
- Safety (overreliance) and Alert fatigue
- Approaches to evaluation
- Group Activity: Identification of a clinical problem or target where CDSS could be beneficial and design an end-to-end project to address this.
The next dates for this programme will be announced in Mid 2023
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