Facilitator Handbook 2005 - PRIMIS
Facilitator Handbook 2005 - PRIMIS Facilitator Handbook 2005 - PRIMIS
PRIMIS Facilitator Handbook Quality Data, Quality Outcomes The Training The training takes place over a full day and is run on an individual scheme basis covering the following topics: • why data quality is important • how data quality is defined • the baseline essential elements of a patient record and how they are created • the importance of capturing data from home visits and other locations outside of the GP surgery • mapping data flows from secondary care into a practice to eventual entry onto the clinical system • the differences and similarities between the NSFs, National Institute for Clinical Excellence (NICE) guidelines and Quality and Outcomes Framework (QOF) indicators and the essential data recording requirements for each • practical knowledge of clinical coding structures • problems faced by many practices with consistency in methods of data capture and entry between all practice staff • methods of entering and capturing data onto a clinical system • how to raise the issue of data quality and help practices to address any problems and share best practice. Learning Objectives The training will provide information facilitators with: • an awareness of what is meant by the patient’s story and their contact with the healthcare professionals in a GP practice, including what data recording is required at each step • an awareness of the importance of data quality and its relevance to recording issues pertaining to the patient’s story • an understanding of the necessity to identify all relevant information coming into the practice • an awareness of what is required to collect all the relevant information in the correct format • an awareness of the range of options for storing the data • an understanding of the knowledge required to retrieve the data in an accurate format • knowledge and understanding of data quality theory and its application to the patient’s story • an understanding of future issues that may affect primary care data. 26 PRIMIS
Quality Data, Quality Outcomes PRIMIS Facilitator Handbook Further Reading PRIMIS Guidelines www.primis.nhs.uk/pages/download_template.asp?r=Guidelines_Sept01.pdf Good Practice Guidelines for General Practice Electronic Patient Records. 2000. GMC GPs Committee and the RCGP on behalf of the NHS Executive. London: GMC. www.dh.gov.uk/PublicationsAndStatistics/Publications/PublicationsPolicyAndGuidance/Publicati onsPolicyAndGuidanceArticle/fs/en?CONTENT_ID=4008657&chk=rr8fQT Maintaining Good Medical Practice 2. London: GMC; 1998. Medical Records. London: Medical Protection Society; 1999. Morris D. Acquiring computer literacy. British Medical Journal. 1998; 317:2. Roscoe T. Paper vs electronic medical records (special paper). Wisdom website; 2000 http://wisdomnet.co.uk/paper.html Report on the Review of Patient-identifiable Information. The Caldicott Committee. London: Department of Health; 1997. Play IT Safe – a practical guide to IT Security for everyone working in General Practice www.connectingforhealth.nhs.uk/publications/comms_tkjune05/NHSnumberarticleforsyndicatio n.pdf/view?searchterm=Play%20IT%20safe Pringle M. Using a computer in the consultation. In: Sheldon M, Stoddart N, eds. Trends in General Practice computing. London: Royal College of General Practitioners; 1985. Waring N. To what extent are practices “paperless” and what are the constraints to them becoming more so? British Journal of General Practice. 2000; 50: 46-7. Watkins C et al. General practitioners’ use of computers during the consultation. British Journal General Practice. 1999; 49:481-3. Training Plan - Links to other PRIMIS training Facilitators attending the Quality Data Quality Outcomes training module would also find the following training modules of interest: • Clinical Coding • Data Analysis, Interpretation and Feedback • Facilitation Skills • Action Planning and Supporting Change • Path to Paperless • Data Quality and Patient Safety • Primary Care Data Uses and Abuses PRIMIS 27
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<strong>PRIMIS</strong> <strong>Facilitator</strong> <strong>Handbook</strong><br />
Quality Data, Quality Outcomes<br />
The Training<br />
The training takes place over a full day and is run on an individual scheme basis covering the<br />
following topics:<br />
• why data quality is important<br />
• how data quality is defined<br />
• the baseline essential elements of a patient record and how they are created<br />
• the importance of capturing data from home visits and other locations outside of<br />
the GP surgery<br />
• mapping data flows from secondary care into a practice to eventual entry onto the<br />
clinical system<br />
• the differences and similarities between the NSFs, National Institute for Clinical<br />
Excellence (NICE) guidelines and Quality and Outcomes Framework (QOF)<br />
indicators and the essential data recording requirements for each<br />
• practical knowledge of clinical coding structures<br />
• problems faced by many practices with consistency in methods of data capture and<br />
entry between all practice staff<br />
• methods of entering and capturing data onto a clinical system<br />
• how to raise the issue of data quality and help practices to address any problems<br />
and share best practice.<br />
Learning Objectives<br />
The training will provide information facilitators with:<br />
• an awareness of what is meant by the patient’s story and their contact with the<br />
healthcare professionals in a GP practice, including what data recording is required<br />
at each step<br />
• an awareness of the importance of data quality and its relevance to recording<br />
issues pertaining to the patient’s story<br />
• an understanding of the necessity to identify all relevant information coming into<br />
the practice<br />
• an awareness of what is required to collect all the relevant information in the<br />
correct format<br />
• an awareness of the range of options for storing the data<br />
• an understanding of the knowledge required to retrieve the data in an accurate<br />
format<br />
• knowledge and understanding of data quality theory and its application to the<br />
patient’s story<br />
• an understanding of future issues that may affect primary care data.<br />
26 <strong>PRIMIS</strong>