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Data-Driven Exploration of National Health Service Talking Therapies Care Pathways Using Process Mining:

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  • 1School of Management, University of Bath, Bath, United Kingdom.

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Process mining reveals patient flow in NHS Talking Therapies, identifying bottlenecks and showing stepped care is uncommon. This data-driven approach can improve mental health service delivery and patient outcomes.

Keywords:
EHREHRsHISdata sciencedeliveryelectronic health recordelectronic health recordsflowflowshealth information systemhealth recordinformation systeminformation systemsmental healthmental health servicespathpathwaypathwaysprocess miningsecondary data analysisvisualization

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Area of Science:

  • Health Services Research
  • Data Science in Healthcare
  • Mental Health Systems Analysis

Background:

  • The National Health Service (NHS) Talking Therapies program utilizes stepped care for common mental health issues.
  • Service providers seek to optimize patient flow due to resource constraints and performance standards.
  • Variations in care delivery and outcomes across sites necessitate improved evaluation methods.

Purpose of the Study:

  • To demonstrate the value and utility of process mining for analyzing NHS Talking Therapies care pathways.
  • To utilize electronic health records for a data-driven evaluation of mental health service delivery.

Main Methods:

  • Analysis of anonymized individual patient referral records from two NHS Talking Therapies sites over two years.
  • Application of process mining techniques to visualize patient flow and identify common care pathway routes.

Main Results:

  • Process mining visualized patient journeys, highlighting waiting times and bottlenecks, such as delays for high-intensity cognitive behavioral therapy (CBT).
  • Patients discharged from waiting lists experienced longer waits than those commencing treatment.
  • Stepped care was uncommon, with over five times more patients receiving direct high-intensity treatment compared to stepped care pathways.

Conclusions:

  • Process mining effectively evaluates care pathway performance and identifies systemic issues within mental health services.
  • Integrating process mining into routine monitoring can reveal opportunities for service improvement and inform capacity planning.
  • This approach offers valuable insights into how health system processes impact patient outcomes.