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Related Concept Videos

Flow Sheet01:17

Flow Sheet

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Flowsheets are valuable tools in nursing documentation. They enable healthcare professionals to efficiently record and monitor various patient assessments and measurements in a consolidated format.
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Graphic Sheet Documentation:
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Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Analysis the patients' careflows using process mining.

Abdel-Hamed Mohamed Rashed1, Noha E El-Attar1, Diaa Salama Abdelminaam1,2

  • 1Information System Department, Faculty of Computers and Artificial Intelligence, Benha University, Benha City, Egypt.

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Summary
This summary is machine-generated.

Process mining in Egypt's healthcare sector offers realistic insights into patient careflows. This data-driven approach helps improve healthcare services and patient journeys by analyzing complex processes.

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Area of Science:

  • Healthcare Management
  • Data Science
  • Process Mining

Background:

  • Egyptian healthcare organizations are adopting emerging technologies like data mining and IoT.
  • Process mining, a powerful analytical technique, remains underutilized in Egypt's health sector.
  • Existing healthcare processes often lack realistic insights, hindering problem-solving and efficiency.

Purpose of the Study:

  • To introduce and apply process mining techniques within the Egyptian healthcare field.
  • To gain meaningful insights into patient careflows and identify typical patient pathways.
  • To analyze complex and dynamic healthcare processes for potential improvements.

Main Methods:

  • Data preprocessing of event logs to clean and remove outliers.
  • Application of popular process discovery algorithms to model healthcare workflows.
  • Analysis of careflows from control-flow, performance, and organizational perspectives.
  • Development of a method to quantify the simplicity of extracted process models.

Main Results:

  • Discovery of typical patient paths within a cardiac surgery unit.
  • Analysis of complex careflows revealing insights into process dynamics.
  • Identification of areas for improvement in existing healthcare workflows.
  • Evaluation of extracted model simplicity using a proposed metric.

Conclusions:

  • Process mining provides valuable, realistic insights for domain experts in healthcare.
  • The application of process mining can lead to significant improvements in patient care and operational efficiency.
  • This study demonstrates the potential of process mining to enhance the Egyptian healthcare system and simplify the patient journey.