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Using performance measurement in healthcare analytics

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dc.contributor.author Mansour, Nashat
dc.contributor.author Danas, Konstantinos
dc.contributor.author Nammour, Fadi Louis
dc.date.accessioned 2018-05-17T07:37:26Z
dc.date.available 2018-05-17T07:37:26Z
dc.date.copyright 2016 en_US
dc.identifier.uri http://hdl.handle.net/10725/7836
dc.description.abstract Electronic Health Records (EHR) embody a large volume of measured values and records of clinical encounters. Data is produced in healthcare settings at a large rate. Medical researchers find themselves facing massive volumes of data that should be reviewed and analysed before making clinical decisions that affect the lives of patients. The aim of this study is to apply the performance measurement approach used in finance and engineering to the EHR systems and develop a new system that allows clinicians who are not computer experts to analyse and query the EHR for better clinical decisions. Sources of healthcare data are numerous: nurses, doctors, technicians, patients, pharmaceutical companies, and third-party payers. Data is collected and stored from different sources such as computerised patient files, laboratory and diagnostic machinery, wired and wireless monitoring devices attached to patients across the various care-giver encounters, and many other electronic files and databases. Decision-support is critical in management of healthcare organizations. Data is collected for analysis, but requires organization of structure, design of systems to analyse the data, and technical knowledge from the management. This study aims at developing a novel system for the analysis of EHR data through the application of Performance Measurement and Management (PMM). This is achieved through investigation of the current situation and the state-of-the-art in clinical analytics, and then modifying the solutions to take advantage of PMM. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.title Using performance measurement in healthcare analytics en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 198629170 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords Clinical decision support en_US
dc.keywords Electronic health record en_US
dc.keywords Performance measurement en_US
dc.keywords Analytics Data warehousing en_US
dc.keywords Cloud computing en_US
dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-32703-7_260 en_US
dc.identifier.ctation Nammour, F. L., Mansour, N., & Danas, K. (2016). Using Performance Measurement in Healthcare Analytics. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 (pp. 834-839). Springer, Cham. en_US
dc.author.email nmansour@lau.edu.lb en_US
dc.conference.date March 31st-April 2nd 2016 en_US
dc.conference.pages 834-839 en_US
dc.conference.place Paphos, Cyprus en_US
dc.conference.title XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://link.springer.com/chapter/10.1007/978-3-319-32703-7_162 en_US
dc.orcid.id https://orcid.org/0000-0002-3603-8284 en_US
dc.author.affiliation Lebanese American University en_US


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