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Monitoring Mental Healthcare Services Using Business Analytics.

Samy Housbane1,2, Adil Khoubila2,3, Khaoula Ajbal1,2

  • 1Medical Informatics Laboratory, Faculty of Medicine and Pharmacy, University Hassan II, Casablanca, Morocco.

Healthcare Informatics Research
|June 18, 2020
PubMed
Summary
This summary is machine-generated.

Business analytics improved healthcare monitoring in a low-income country, leading to better outpatient mental health services and reduced wait times. Challenges in data quality and strategic metrics remain key for optimal use.

Keywords:
Computer-Assisted Decision MakingData ScienceHealth Information SystemsManagement Decision Support SystemsMental Health Services

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Area of Science:

  • Health Informatics
  • Business Analytics in Healthcare
  • Healthcare Management

Background:

  • Effective healthcare monitoring is crucial for service improvement but challenging in developing countries.
  • Business analytics offers a solution for enhancing healthcare activity monitoring.
  • This study details the application of business analytics in a low-income healthcare facility.

Observation:

  • Business analytics descriptive techniques were applied to three years of electronic medical records at a psychiatric center.
  • Statistical analysis compared outpatient consultation data over the monitored period.
  • Key performance indicators included physician order entries, diagnoses, prescriptions, and wait times.

Findings:

  • A significant increase in computerized physician order entries and improved physician recording practices were observed.
  • Schizophrenia, depressive, and bipolar disorders were the most frequent outpatient mental health conditions.
  • Antipsychotics were the most prescribed drugs, and outpatient care wait times significantly decreased annually.

Implications:

  • Business analytics enabled effective monitoring of mental healthcare outpatient activities, facilitating process adaptation.
  • Implementation challenges include organizational decision-making, defining strategic metrics, data structuring, and data quality.
  • Addressing these challenges is essential for the optimal utilization of business analytics in similar healthcare settings.