Literature DB >> 21087369

Patientsmate©: the implementation and evaluation of an online prospective audit system.

Seamus Mark McHugh1, Kah Poh Loh, Mark Anthony Corrigan, Athar Sheikh, Elaine Lehane, Arnold David Konrad Hill.   

Abstract

INTRODUCTION: Inaccuracy in Hospital Inpatient Enquiry (HIPE)/Casemix-based data has been reported as high as 26%. This results in financial waste and makes effective audit impossible. We aimed to develop a novel web-based outcome audit system.
METHODS: A web-based online audit system, Patientsmate©, was developed using an integrated database system written in the programme language PHP. Data were inputted by the surgical team responsible for the patients care. A prospective comparison study of the new Patientsmate© and the standard HIPE systems, was performed over a 1-month period and involving two general surgical teams in April 2010. In addition, a Likert-scale based questionnaire was designed and hosted within the Patientsmate© system. A focus group of those clinicians directly involved in data accessing and input were then invited to complete the questionnaire in order to assess usability of the system.
RESULTS: During the study period there were a total of 108 patients and 88 procedures. Our study confirms the accuracy of clinician derived data, with the Patientsmate© system more accurately recording number of patients (83% vs. 80.6%), number of procedures (85.2% vs. 68.1%) and hospital day case rate (52% vs. 47.1%). Inputting data using Patientsmate© for a single patient took 6-7 minutes. Of those using the system, 75% reported feeling comfortable after using it once only and 100% were satisfied with the layout of the online interface.
CONCLUSION: The Patientsmate© system allows for increased accuracy in outcome-based data as compared with the HIPE system, facilitating audit, financial savings and the appropriate allocation of services.
© 2010 Blackwell Publishing Ltd.

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Year:  2010        PMID: 21087369     DOI: 10.1111/j.1365-2753.2010.01573.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


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