A computer based, automated analysis of process and outcomes of diabetic care in 23 GP practices.

Hdl Handle:
http://hdl.handle.net/10147/233272
Title:
A computer based, automated analysis of process and outcomes of diabetic care in 23 GP practices.
Authors:
Hill, F; Bradley, C
Affiliation:
University College Cork, Cork. fghill@imagine.ie
Citation:
A computer based, automated analysis of process and outcomes of diabetic care in 23 GP practices. 2012, 105 (2):45-7 Ir Med J
Publisher:
Irish Medical Journal (IMJ)
Journal:
Irish medical journal
Issue Date:
Feb-2012
URI:
http://hdl.handle.net/10147/233272
PubMed ID:
22455238
Additional Links:
http://www.ncbi.nlm.nih.gov/pubmed?term=A%20Computer%20Based%2C%20Automated%20Analysis%20of%20Process%20and%20Outcomes%20of%20Diabetic%20Care%20in%2023%20GP%20Practices%20
Abstract:
The predicted prevalence of diabetes in Ireland by 2015 is 190,000. Structured diabetes care in general practice has outcomes equivalent to secondary care and good diabetes care has been shown to be associated with the use of electronic healthcare records (EHRs). This automated analysis of EHRs in 23 practices took 10 minutes per practice compared with 15 hours per practice for manual searches. Data was extracted for 1901 type II diabetics. There was valid data for >80% of patients for 6 of the 9 key indicators in the previous year. 543 (34%) had a Hba1c > 7.5%, 142 (9%) had a total cholesterol >6 mmol/l, 83 (6%) had an LDL cholesterol >4 mmol/l, 367 (22%) had Triglycerides > 2.2 mmol/l and 162 (10%) had Blood Pressure > 160/100 mmHg. Data quality and key indicators of care compare well with manual audits in Ireland and the U.K. electronic healthcare records and automated audits should be a feature of all chronic disease management programs.
Item Type:
Article
Language:
en
MeSH:
Diabetes Mellitus; Disease Management; Electronic Health Records; General Practice; Humans; Outcome and Process Assessment (Health Care)
ISSN:
0332-3102

Full metadata record

DC FieldValue Language
dc.contributor.authorHill, Fen_GB
dc.contributor.authorBradley, Cen_GB
dc.date.accessioned2012-07-11T15:20:46Z-
dc.date.available2012-07-11T15:20:46Z-
dc.date.issued2012-02-
dc.identifier.citationA computer based, automated analysis of process and outcomes of diabetic care in 23 GP practices. 2012, 105 (2):45-7 Ir Med Jen_GB
dc.identifier.issn0332-3102-
dc.identifier.pmid22455238-
dc.identifier.urihttp://hdl.handle.net/10147/233272-
dc.description.abstractThe predicted prevalence of diabetes in Ireland by 2015 is 190,000. Structured diabetes care in general practice has outcomes equivalent to secondary care and good diabetes care has been shown to be associated with the use of electronic healthcare records (EHRs). This automated analysis of EHRs in 23 practices took 10 minutes per practice compared with 15 hours per practice for manual searches. Data was extracted for 1901 type II diabetics. There was valid data for >80% of patients for 6 of the 9 key indicators in the previous year. 543 (34%) had a Hba1c > 7.5%, 142 (9%) had a total cholesterol >6 mmol/l, 83 (6%) had an LDL cholesterol >4 mmol/l, 367 (22%) had Triglycerides > 2.2 mmol/l and 162 (10%) had Blood Pressure > 160/100 mmHg. Data quality and key indicators of care compare well with manual audits in Ireland and the U.K. electronic healthcare records and automated audits should be a feature of all chronic disease management programs.-
dc.language.isoenen
dc.publisherIrish Medical Journal (IMJ)en_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed?term=A%20Computer%20Based%2C%20Automated%20Analysis%20of%20Process%20and%20Outcomes%20of%20Diabetic%20Care%20in%2023%20GP%20Practices%20en_GB
dc.rightsArchived with thanks to Irish medical journalen_GB
dc.subject.meshDiabetes Mellitus-
dc.subject.meshDisease Management-
dc.subject.meshElectronic Health Records-
dc.subject.meshGeneral Practice-
dc.subject.meshHumans-
dc.subject.meshOutcome and Process Assessment (Health Care)-
dc.titleA computer based, automated analysis of process and outcomes of diabetic care in 23 GP practices.en_GB
dc.typeArticleen
dc.contributor.departmentUniversity College Cork, Cork. fghill@imagine.ieen_GB
dc.identifier.journalIrish medical journalen_GB

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