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Facilitator Handbook 2005 - PRIMIS

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<strong>PRIMIS</strong> <strong>Facilitator</strong> <strong>Handbook</strong><br />

Data Quality and Patient Safety<br />

The stakeholder interviews also identified other areas of concern with current clinical systems<br />

and their usage:<br />

The Training<br />

• the need for a drug dictionary for the NHS to improve communication between<br />

systems<br />

• the need for drug ontologies that provide sensible alerts and decision support<br />

• the need to develop audit trails<br />

• ensuring that account is taken of human ergonomics in the design of computerised<br />

alerts<br />

• the need for healthcare staff to be trained in the safe and effective use of systems<br />

• the need to produce safety specific regulations, requirements and guidelines<br />

• the need to build a safety culture and raise safety awareness in primary care.<br />

The NPSA commissioned <strong>PRIMIS</strong> to develop a training module for information facilitators. The<br />

training takes place over a full day and is run on a group workshop basis. It includes<br />

presentation of the research findings and discussion around the following topics:<br />

Known clinical system features and problems<br />

• Hazard alerts for contraindicated drugs, drug interactions, allergies, frequency of<br />

dose and the need for monitoring<br />

• Safety checks for repeat prescribing<br />

• Decision support software<br />

• Avoiding spurious or irrelevant alerts<br />

• Avoiding overriding critical alerts<br />

• The use of audit trails<br />

• Call and recall systems for patient monitoring<br />

• Alerts for missed referrals and abnormal results<br />

• The effect of poor-quality data on the effectiveness of safety features<br />

All the currently used systems have a number of in-built warning messages that are designed<br />

to alert the user to a potential hazard if the chosen course of action is pursued. Unfortunately,<br />

these messages are of differing sensitivity, appearance, visibility and reliability.<br />

Other areas where data quality can affect patient care<br />

• Tracking if patients attended referral<br />

• Tracking lab test requests/results<br />

• Identifying patients at risk<br />

64 <strong>PRIMIS</strong>

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