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Biometric Attendance and Big Data Analysis for Optimizing Work Processes.

Neetu Verma1, Teenu Xavier1, Deepak Agrawal1

  • 1All India Institute of Medical Sciences, New Delhi, India.

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This summary is machine-generated.

Implementing biometric attendance systems in large healthcare organizations requires integration with employee duty rosters for effective big data analysis and process optimization. Standalone systems offer limited utility without this crucial linkage.

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Area of Science:

  • Healthcare Management
  • Information Technology in Healthcare
  • Big Data Analytics

Background:

  • Large healthcare organizations face challenges in optimizing work processes using big data analytics.
  • Existing biometric attendance management systems often lack the necessary integration for comprehensive analysis.

Purpose of the Study:

  • To assess the implementation of a biometric attendance system in a large healthcare setting.
  • To evaluate the utility of big data analysis following the integration of such a system.

Main Methods:

  • A prospective study evaluated biometric system implementation over three months.
  • Software integration with existing systems for data analysis was assessed.
  • A custom software solution was developed to capture duty rosters and integrate with the biometric system, including an SMS gateway.

Main Results:

  • Biometric system implementation and enrollment of 10,000 employees were successful within two months.
  • Generating reports and taking action for a large staff presented significant challenges.
  • The integrated software solution automated SMS notifications for employees who did not sign in.

Conclusions:

  • Standalone biometric systems have limited functionality in large organizations.
  • Integration with employee duty rosters is essential for maximizing the utility of biometric systems in healthcare.
  • Effective big data analysis requires meshing biometric data with operational schedules.