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Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition.

Don Roosan¹, Matthew Samore², Makoto Jones²

¹Department of Medicine, Baylor College of Medicine, Houston, TX, USA.

Proceedings. IEEE International Conference on Healthcare Informatics

|December 20, 2016

Summary

Population health data can enhance clinical decision-making by supporting cognitive strategies like trajectory tracking and metacognition. This research informs the design of Big Data-driven decision-support tools for healthcare.

Keywords:

Big-Data clinical reasoning population decision support population health data

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Area of Science:

Health Informatics
Cognitive Science
Clinical Decision-Making

Background:

Complex clinical decision-making requires effective information processing.
Previous studies explored clinical reasoning among infectious disease experts.
The role of Big Data in supporting clinical cognition remains an area for exploration.

Purpose of the Study:

To investigate how population-based Big Data can support clinical reasoning.
To identify cognitive strategies that can be enhanced by Big Data.
To inform the design of Big Data-based decision-support tools in healthcare.

Main Methods:

Qualitative analysis of expert interviews focusing on Big Data's role in clinical reasoning.
Identification of cognitive strategies employed by clinicians.
Exploration of how population health data can support these strategies.

Main Results:

Cognitive strategies including trajectory tracking, perspective taking, and metacognition show potential for improving clinical cognition.
Population health data can effectively support these identified cognitive strategies.
Findings highlight implications for designing Big Data-enabled decision-support systems.

Conclusions:

Population health Big Data can facilitate complex clinical decision-making.
Integrating Big Data insights into electronic health records can enhance clinician cognition.
This research provides a foundation for developing advanced healthcare decision-support applications.