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The concept of real numbers includes all the values that can be represented on a continuous number line. The system began with basic counting values used for enumeration. It later expanded to include values that represent the absence of quantity and opposites of the counting values. When situations required expressing parts of a whole or dividing quantities evenly, values capable of representing such proportions were developed. When written using decimal notation, these values can end or repeat...
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Using Process Mining Techniques to Study Workflows in a Pre-operative Setting.

Adela Grando1, Danielle Groat1, Stephanie K Furniss1,2

  • 1Department of Biomedical Informatics, Arizona State University, Phoenix, AZ.

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Summary
This summary is machine-generated.

Process mining and observation reveal electronic health record (EHR) workflows take significant time. This analysis offers insights for optimizing EHR systems and improving healthcare efficiency.

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Area of Science:

  • Health Informatics
  • Process Engineering
  • Clinical Workflow Analysis

Background:

  • Information technologies, particularly electronic health records (EHRs), have significantly impacted healthcare delivery.
  • Analyzing complex EHR-mediated workflows presents a substantial challenge for understanding operational efficiency and quality of care.

Purpose of the Study:

  • To apply process mining combined with observational techniques to gain an in-depth understanding of EHR-based workflows.
  • To identify bottlenecks and inefficiencies within pre-operative care settings related to EHR use.

Main Methods:

  • Utilized process mining on nearly 76,000 event logs from 15 providers, supporting staff, and 142 patients in a pre-operative setting.
  • Integrated 3 weeks of qualitative data from interviews and video observations to supplement event log analysis.
  • Examined the handover-of-care network and personnel interaction frequencies.

Main Results:

  • Personnel spent an average of 44 minutes per patient interacting with the EHR.
  • EHR interaction consumed 55% of the personnel's time during patient visits.
  • Paper-based artifacts were used or reviewed for over 5% of the time.

Conclusions:

  • The combination of process mining and observational techniques provides a powerful approach for analyzing complex healthcare workflows.
  • Findings offer valuable insights for optimizing EHR system implementation and improving operational efficiency, particularly for upcoming EHR conversions.
  • Understanding EHR interaction times and the use of supplementary materials is crucial for enhancing healthcare delivery processes.