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The Evaluation of Key Performance Indicators for Medical and Digital Technologies in Healthcare

  • Magdalini Chatzikou

摘要

In times of value-based health care and scarce resources of the health care systems, economic impact assessment is of increasing importance. Leveraging technology in health care has the power to impact health care industries, hospitals, and patients. Examples of new treatments, known as “interventions,” include diagnostic capabilities, disease modelling and prediction, customized treatment plans, enhanced electronic health records, and more. New artificial intelligence technologies are promising interventions which need to follow the same principals of translational research to prove the degree of effectiveness in everyday clinical practice. The effectiveness of the new technologies will be based on the following key performance indicator pillars, covering the full spectrum of clinical, social, operational, and economic parameters. The KPIs to be chosen cover the following areas: The stakeholders that will utilize those measures are patients, physicians, caregivers, hospital managers, and policy makers. In the current chapter, each KPI pillar is thoroughly analysed in order for the reader to be able to understand the selected indicators and their applicability within AI technologies. This chapter will shed light on the identification and selection of the most important health care indicators and their link with the respective stakeholders.