Electronic Healthcare. 4th International Conference, eHealth 2011, Málaga, Spain, November 21-23, 2011, Revised Selected Papers

Research Article

Health Care Performance Monitoring Using an Inpatient Reference Process Model and Clinical KPIs

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  • @INPROCEEDINGS{10.1007/978-3-642-29262-0_5,
        author={Eva Gattnar and Okan Ekinci and Vesselin Detschew},
        title={Health Care Performance Monitoring Using an Inpatient Reference Process Model and Clinical KPIs},
        proceedings={Electronic Healthcare. 4th International Conference, eHealth 2011, M\^{a}laga, Spain, November 21-23, 2011, Revised Selected Papers},
        proceedings_a={E-HEALTH},
        year={2012},
        month={5},
        keywords={performance monitoring clinical key performance indicators patient process clinical workflow clinical process modeling events},
        doi={10.1007/978-3-642-29262-0_5}
    }
    
  • Eva Gattnar
    Okan Ekinci
    Vesselin Detschew
    Year: 2012
    Health Care Performance Monitoring Using an Inpatient Reference Process Model and Clinical KPIs
    E-HEALTH
    Springer
    DOI: 10.1007/978-3-642-29262-0_5
Eva Gattnar,*, Okan Ekinci1,*, Vesselin Detschew2,*
  • 1: Siemens Healthcare
  • 2: Ilmenau Technical University
*Contact email: eva.gattnar@siemens.com, okan.ekinci@siemens.com, vesselin.detschew@tu-ilmenau.de

Abstract

Health care processes are nowadays heavily dependent on Information Technology (IT). On the other side, assessing a higher quality of health care to patients has become increasingly important. Effective health care processes are thereby heavily dependent on a comprehensive IT-support. Therefore, a thorough understanding about both the hospital IT-systems and clinical pathways is required, to identify quality problems. Improving quality of care through process performance measurement in hospitals and the identification of bottlenecks in performed workflows is thereby a promising concept. On this account we propose a novel approach based on an inpatient reference process model aiming a standardized and automated retrieval of quality and performance metrics along the clinical pathways of time-critical diseases in the context of various clinical standards and systems.