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Process Management and Mining in Smart Health.

Francesco Leotta1

  • 1Sapienza Università di Roma.

Studies in Health Technology and Informatics
|February 23, 2026
PubMed
Summary
This summary is machine-generated.

Optimizing healthcare careflows using Business Process Management and Mining enhances patient care and system efficiency. These methods ensure adherence to guidelines, reduce costs, and improve patient management times.

Keywords:
IotSmart Hospitalsbusiness process managementhealthcareprocess miningsmart homes

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Area of Science:

  • Healthcare Management
  • Process Optimization
  • Data Mining

Background:

  • Healthcare delivery relies on defined processes called careflows.
  • Adherence to careflows is crucial for patient safety.
  • Optimizing these processes can reduce healthcare costs and improve efficiency.

Purpose of the Study:

  • To explore the application of Business Process Management (BPM) and Process Mining in healthcare.
  • To demonstrate how these methods ensure conformance to careflows.
  • To highlight improvements in care processes within healthcare settings.

Main Methods:

  • Utilizing Business Process Management principles.
  • Applying Process Mining techniques to analyze healthcare data.
  • Evaluating conformance and identifying areas for process improvement.

Main Results:

  • BPM and Process Mining effectively ensure adherence to established careflows.
  • Optimization of care processes leads to reduced patient management time.
  • Improved efficiency contributes to increased healthcare system throughput.

Conclusions:

  • Business Process Management and Process Mining are valuable tools for enhancing healthcare delivery.
  • These methodologies support cost control and efficiency gains in hospitals and home care.
  • Implementing BPM and Process Mining can lead to significant improvements in patient care and system performance.