Imperial College London
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Dr Thomas Woodcock

Faculty of Medicine, School of Public Health

Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 1838thomas.woodcock99

 
 
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Location

 

328Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Curcin:2014:10.1016/j.jbi.2014.04.014,
author = {Curcin, V and Woodcock, T and Poots, A and Majeed, A and Bell, D},
doi = {10.1016/j.jbi.2014.04.014},
journal = {Journal of Biomedical Informatics},
pages = {151--162},
title = {Model-driven approach to data collection and reporting for quality improvement},
url = {http://dx.doi.org/10.1016/j.jbi.2014.04.014},
volume = {52},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Continuous data collection and analysis have been shown essential to achieving improvement in healthcare. However, the data required for local improvement initiatives are often not readily available from hospital Electronic Health Record (EHR) systems or not routinely collected. Furthermore, improvement teams are often restricted in time and funding thus requiring inexpensive and rapid tools to support their work. Hence, the informatics challenge in healthcare local improvement initiatives consists of providing a mechanism for rapid modelling of the local domain by non-informatics experts, including performance metric definitions, and grounded in established improvement techniques. We investigate the feasibility of a model-driven software approach to address this challenge, whereby an improvement data model designed by a team is used to automatically generate required electronic data collection instruments and reporting tools. To that goal, we have designed a generic Improvement Data Model (IDM) to capture the data items and quality measures relevant to the project, and constructed Web Improvement Support in Healthcare (WISH), a prototype tool that takes user-generated IDM models and creates a data schema, data collection web interfaces, and a set of live reports, based on Statistical Process Control (SPC) for use by improvement teams. The software has been successfully used in over 50 improvement projects, with more than 700 users. We present in detail the experiences of one of those initiatives, Chronic Obstructive Pulmonary Disease project in Northwest London hospitals. The specific challenges of improvement in healthcare are analysed and the benefits and limitations of the approach are discussed.
AU  - Curcin,V
AU  - Woodcock,T
AU  - Poots,A
AU  - Majeed,A
AU  - Bell,D
DO  - 10.1016/j.jbi.2014.04.014
EP  - 162
PY  - 2014///
SN  - 1532-0480
SP  - 151
TI  - Model-driven approach to data collection and reporting for quality improvement
T2  - Journal of Biomedical Informatics
UR  - http://dx.doi.org/10.1016/j.jbi.2014.04.014
UR  - http://hdl.handle.net/10044/1/26323
VL  - 52
ER  -
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