477 research outputs found
Computerised medical record systems that guide and protect – reflections on the Bawa-Garba case
Get PDFLawrence Weed proposed we develop computerised, problem orientated medical records that guide and teach.  The Bawa-Garba case outcomes might have been different if care had been supported by computerised medical record (CMR) systems. CMR systems can reduce prescribing errors and could be develop to flag gaps in supervision.  However, CMR systems are not a panacea and need to be fit for purpose. Our informatics perspective on this case is to call for widespread use of CMR systems – designed to guide and protect
Journal of Innovation in Health Informatics: building on the 20-year history of a BCS Health peer review journal
Get PDFAfter 20-years as Informatics in Primary Care the journal is renamed Journal of Innovation in Health Informatics. The title was carefully selected to reflect that:(1) informatics provides the opportunity to innovate rather than simply automates;(2) implementing informatics solutions often results in unintended consequences, and many implementations fail and benefits and innovations may go unrecognised;(3) health informatics is a boundary spanning discipline and is by its very nature likely to give rise to innovation.Informatics is an innovative science, and informaticians need to innovate across professional and discipline boundaries
Web-based health applications provide useful and cost-effective tools; however, they should include key clinical variables and incorporate a coding or classification system
Get PDFCodes, classifications, terminologies and nomenclatures: definition, development and application in practice
Get PDFThe Primary Care Informatics Working Group of EFMI is working to help develop the core theory of primary care informatics (PCI). Codes, classifications, terminologies and nomenclatures form an important part of the science of PCI, as they allow clinical information to be readily stored and processed in information systems.
This article provides definitions and a history of the International Classification for Primary Care (ICPC), and of the Read code and the Systematized Nomenclature for Medicine (SNOMED).
The Working Group wishes to encourage shared definitions and an understanding of the practical application of structured data to improve quality in clinical practice
Effective pseudonymisation and explicit statements of public interest to ensure the benefits of sharing health data for research, quality improvement and health service management outweigh the risks
Get PDFThis journal strongly supports the sharing of data to support research and quality improvement. However, this needs to be done in a way that ensures the benefits vastly outweigh the risks, and vitally using methods which are inspire both public and professional confidences – robust pseudonymisation is needed to achieve this. The case for using routine data for research has already been well made and probably also for quality improvement; however, clearer mechanisms are needed of how we test that the public interest is served. Ensuring that the public interest is served is essential if we are to maintain patients’ and public’s trust, especially in the English National Health Service where the realpolitik is that patients can opt out of data sharing.Â
Autumn issue of Informatics in Primary Care: extending our understanding and the case for greater research capacity and capability in informatics
Get PDFFlagging fasting plasma glucose specimens: time to routinely label the context in which pathology specimens are recorded
Get PDFIn this issue: everything you wanted to know about electronic health exchange, diversity and ethnicity
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