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Indicator and Modelling Opportunities for Data-Driven Decision-Making.

Tuulikki Vehko1, Heidi Urnberg1, Marko Elovainio1,2

  • 1Finnish institute for health and welfare.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
Summary

Monitoring electronic health records (EHR) and client information systems (CIS) user experiences in Finland reveals key factors for better patient care. System functionality, usability, and support are crucial for improving healthcare performance.

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Area of Science:

  • Health Informatics
  • Information Systems Research
  • Healthcare Management

Background:

  • Effective monitoring of end-user experiences with electronic health records (EHR) and client information systems (CIS) is essential for data-driven decision-making in healthcare.
  • Previous research highlights the impact of information systems (IS) on healthcare delivery, but a focused predictive model for user experience indicators is lacking.

Purpose of the Study:

  • To identify a predictive model for a key individual-level indicator of end-user experience with EHR/CIS in Finland.
  • To understand the relationship between user-perceived system quality and broader IS benefits in a healthcare context.

Main Methods:

  • Analysis of individual-level data on end-user experiences with primary EHR/CIS systems.
  • Development and application of a predictive model focusing on user-assigned grades for the primary system.
Keywords:
client information systemelectronic health recordhealth services research

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Main Results:

  • A positive user grade for the primary EHR/CIS is strongly associated with perceived system functionality, usability, and support for nursing documentation.
  • The broader IS landscape, its capacity to support duties and information exchange, and overall IS benefits (e.g., continuity of care, medication safety) are critical factors.

Conclusions:

  • Improving EHR/CIS functionality, usability, and nursing documentation support can enhance user performance.
  • Addressing the IS landscape and its benefits is vital for optimizing healthcare delivery and patient care outcomes.