Facilitator Handbook 2005 - PRIMIS
Facilitator Handbook 2005 - PRIMIS
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>