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Facilitator Handbook 2005 - PRIMIS

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CHART<br />

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

CHART<br />

Background<br />

CHART stands for Care and Health Analysis in Real Time. It is a software program based on<br />

Excel that enables the quick and easy viewing of data from clinical queries. The software,<br />

which has been developed by <strong>PRIMIS</strong> as an upgraded alternative to Rush for Practices, is<br />

designed to be used within practices allowing the practice staff or <strong>PRIMIS</strong> facilitator to produce<br />

health query language (HQL) queries, taken from a library, which are then run on their clinical<br />

system. The query responses are imported back into CHART. Results are displayed either as<br />

easy-to-read graphs, summary sheets or a spreadsheet. CHART gives a practice the option to<br />

run local, patient-identifiable queries or, if preferred, anonymised queries should they wish to<br />

share data confidentially.<br />

CHART can be used in conjunction with any RFA accredited clinical system with a functioning<br />

MIQUEST interpreter. As the responses are converted into Excel format, the software retains<br />

much of the original Excel functionality, including the ability to sort or filter the extracted data<br />

and drill down through graphical displays to quickly identify groups of patients by type of<br />

recording. Responses take the form of a spreadsheet with one line for each patient included in<br />

the cohort. Each column represents an indicator included in the query, giving a whole patient<br />

picture for that specific clinical area. Viewing the clinical data in this way enables gaps in the<br />

patients’ data relating to the specific query topic to be highlighted and, by using multi-factor<br />

filtering, complex data and/or clinical quality issues can be picked up: for example, identifying<br />

patients with a recorded diabetes diagnosis who have a raised HbA1c and a BMI greater than<br />

25. By archiving results and comparing them with later extractions, any changes or<br />

improvements can be identified.<br />

<strong>PRIMIS</strong> 47

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