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Authors: James P. McGlothlin ; Hari Srinivasan and Ilija Stojic

Affiliation: Fusion Consulting Inc, Irving, TX and U.S.A.

Keyword(s): Business Intelligence, Data Warehousing, Analytics, Patient Quality, Patient Safety, Patient Outcomes.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Data Engineering ; Data Management and Quality ; Data Manipulation ; Data Visualization ; Databases and Datawarehousing ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Society, e-Business and e-Government ; Web Information Systems and Technologies

Abstract: In recent years, the growth of electronic medical records for hospitals has exponentially increased the quantity of healthcare data available for analysis and performance improvement. However, the general consumption of this data by providers has still been limited to analysts and power users. Most data is delivered via static reports which serve only a single purpose. This paper describes a project to deliver a vast quantity of data in a simple and secure manner to all hospital physicians and administrative leaders. This includes clinical, operational and cost information. The delivery is with versatile and intuitive interactive dashboards which are integrated into the EMR yet come from many different sources. This allows physicians to look at their performance and compare it to their peers. Executives are able to identify improvement opportunities across the system and directors are able to identify improvement opportunities within their service. Quality and performance improvement specialists can perform data analysis without having to generate report requests and wait for delivery. This allows them to target specific initiatives and patient populations, and to tailor improvement programs to the needs of the organization. These analytics and dashboards are designed to facilitate quality improvement, efficiency, treatment standardization and cost reduction. (More)

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Paper citation in several formats:
McGlothlin, J.; Srinivasan, H. and Stojic, I. (2019). Developing Enterprise-wide Provider Analytics. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 135-146. DOI: 10.5220/0007568601350146

@conference{healthinf19,
author={James P. McGlothlin. and Hari Srinivasan. and Ilija Stojic.},
title={Developing Enterprise-wide Provider Analytics},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF},
year={2019},
pages={135-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007568601350146},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF
TI - Developing Enterprise-wide Provider Analytics
SN - 978-989-758-353-7
IS - 2184-4305
AU - McGlothlin, J.
AU - Srinivasan, H.
AU - Stojic, I.
PY - 2019
SP - 135
EP - 146
DO - 10.5220/0007568601350146
PB - SciTePress