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dc.contributor.author Mansour, Nashat
dc.contributor.author Danas, Konstantinos
dc.contributor.author Nammour, Fadi
dc.date.accessioned 2018-05-17T06:26:29Z
dc.date.available 2018-05-17T06:26:29Z
dc.date.issued 2018-05-17
dc.identifier.isbn 978-1-5090-3370-6 en_US
dc.identifier.uri http://hdl.handle.net/10725/7835
dc.description.abstract Patient information in healthcare organizations is distributed across several systems and data silos. Clinicians make decisions based on data in patient health records. Improving the efficiency of decision-support requires collective knowledge of all patient information. The classical approach of linking patient data from many databases into one data warehouse poses various problems when it comes to building clinical analytics. An implementation of the Performance Measurement and Management approach used in Engineering and Business is adapted to healthcare scenarios, and a new system is developed that allows clinicians that are not technical professionals to develop, test and apply custom analytics to patient health data. Part I of this paper is an introduction to the problems and current situation in healthcare data analytics. Part II states the aim and objectives. Part III explains the system design and its modular components. Part IV presents the results of three performance indicators evaluated through the system, and evaluates the system through technical and clinical usability methods. Part V concludes and discusses future work. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title CorporateMeasures en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle a clinical analytics framework leading to clinical intelligence 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 Performance measurement and management en_US
dc.keywords Clinical analytics en_US
dc.keywords Business intelligence en_US
dc.keywords Patient health records en_US
dc.identifier.doi http://dx.doi.org/10.1109/HealthCom.2016.7749451 en_US
dc.identifier.ctation Nammour, F., Danas, K., & Mansour, N. (2016, September). CorporateMeasures: A clinical analytics framework leading to clinical intelligence. In e-Health Networking, Applications and Services (Healthcom), 2016 IEEE 18th International Conference on (pp. 1-6). IEEE. en_US
dc.author.email nmansour@lau.edu.lb en_US
dc.conference.date 14-16 Sept. 2016 en_US
dc.conference.place Munich, Germany en_US
dc.conference.title 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/7749451/ en_US
dc.orcid.id https://orcid.org/0000-0002-3603-8284 en_US
dc.publication.date 2016 en_US
dc.author.affiliation Lebanese American University en_US

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