Despotou, George, Ryan, Mark, Arvanitis, Theodoros N et al. (4 more authors) (2017) A framework for synthesis of safety justification for digitally enabled healthcare services. DIGITAL HEALTH. 2055207617704271. ISSN 2055-2076
Abstract
Digitally enabled healthcare services combine socio-technical resources to deliver the required outcomes to patients. Unintended operation of these services may result in adverse effects to the patient. Eliminating avoidable harm requires a systematic way of analysing the causal conditions, identifying opportunities for intervention. Operators of such services may be required to justify, and communicate, their safety. For example, the UK Standardisation Committee for Care Information (SCCI) standards 0129 and 0160 require a safety justification for health IT (superseded versions were known as the Information Standards Board (ISB) 0129 & 0160. Initial as well as current standards are maintained by the NHS Digital.MethodA framework was designed, and applied as proof of concept, to an IT-supported clinical emergencies (A&E) service. Evaluation was done qualitatively based on the authors? experience, identifying potential benefits of the approach.ResultsThe applied framework encapsulates analysis, and structures the generated information, into a skeleton of an evidence-based case for safety. The framework improved management of the safety activities, assigning ownership to stakeholders (e.g. IT developer), also creating a clear and compelling safety justification.ConclusionsApplication of the framework significantly contributed to systematising an exploratory approach for analysing the service, in addition to existing methods such as reporting. Its application made the causal chain to harm more diaphanous. Constructing a safety case contributed to: (a) identifying potential assurance gaps, (b) planning production of information and evidence, and (c) communication of the justification by graphical unambiguous means.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2017 |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Apr 2017 08:40 |
Last Modified: | 11 Jan 2025 00:05 |
Published Version: | https://doi.org/10.1177/2055207617704271 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1177/2055207617704271 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115768 |