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The Pharmaceutical Journal
Vol 272 No 7281 p15
3/10 January 2004

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Letters

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Letters to the Editor

Decision support

Choosing between a rock and a hard place

From Mr R. Glasspoole, MRPharmS, and Ms H. Judd, MRPharmS

Following the recent Broad Spectrum, “Crying wolf” (PJ, 22 November 2003, p708), and the ensuing correspondence (PJ, 6 December 2003, p773) from a number of readers I thought it would be valuable to give the perspective of a supplier of computerised drug interactions. With clinical decision support you are damned if you do and damned if you don’t. Decision support can be considered analogous to pharmacy practice in that no matter how many positive interventions you make you tend to be judged only by the errors that have been missed. What has not been mentioned is that computerised interaction alerts have provided valuable warnings to health care professionals in identifying “overlooked” interactions of sufficient clinical importance to require alternative treatment.

First DataBank (FDB), the suppliers of the Multilex Drug Data File used by a number of pharmacy system suppliers, is acutely aware of the need to cut down “background noise” to reduce information overload. This is one of our biggest challenges because no two health care practitioners agree on the need for an alert — if it is known to them, it is “noise”; if not, the alert is required. Therefore this challenge affects not only suppliers of health care applications but also individual health care professionals.

Fundamentally, drug knowledge base suppliers provide the core knowledge and rules. Computerised drug interactions cannot be considered in isolation without understanding a patient’s physical condition and the clinicians’ knowledge. An interaction considered of minor clinical importance can still have major therapeutic consequences, particularly in patient populations (consider the implications of one fit on a previously stable epileptic patient). An important interaction can still be overlooked by an experienced clinician as we were recently reminded by a director of pharmacy investigating a case where a consultant had overlooked a warfarin-azole interaction.

In order to resolve the issues with computerised drug interactions a user profile is required where the user can individualise the alerts that they want to see. We consider that it is impossible to produce centrally a set of rules that meets “one size fits all” criteria. The core rules provided by the decision support suppliers need to be able to be customised at various levels including by the individual users of the application. However there needs to be a full audit trail to ensure that it is recognised that clinical decision support information has been purposely filtered. One of the key requirements for “user friendly” decision support is greater collaboration between the providers of clinical systems, purchasers of such systems and the health care professional.

This year FDB has been involved with three projects led by the National Patient Safety Agency looking at different issues with decision support. One of the projects involved the NPSA commissioning an academic research project to identify the drug-drug combinations that should generate “critical prescribing hazard alerts”, which cannot be easily overridden by GPs using electronic prescribing systems in the UK. FDB supported this project by supplying information on nearly 200 drug interaction combinations that we consider to be the most clinically important for the panel to review. One important aspect of our collaboration is that the results from the study will help to specify future requirements for drug interaction functionality. This will enable the knowledge gained from the study being routinely available in the clinical environment.

Last month’s announcement of the first contracts being awarded for the National (NHS) Programme for Information Technology (PJ, 13 December 2003, p802) heralds the start of a new era where the everyday use of IT will be unavoidable and will probably have far greater impact on the practice of pharmacy than anything else.

Decision support based on an individual’s full health record will become routine and a standard tool for improving patient safety and care. When the majority of the routine patient and clinical checks are automated a valuable opportunity is created for pharmacists to engage patients and physicians more readily in pharmaceutical care.

We would be pleased to hear from any reader with comments about decision support since these are invaluable in helping to develop functionality that meets clinical requirements.

Robin Glasspoole
Product Manager
(e-mail robin_glasspoole@firstdatabank.co.uk)

Hillary Judd
Head of Knowledge Base Services,
FirstDataBank Europe

First DataBank www.firstdatabank.co.uk

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