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An Analysis of the Value of Robotic Process Automation for Healthcare Administration Using the Task-Technology Fit Theory

In: Recent Advances in Information Systems

Author

Listed:
  • Phillip Sibanda

    (Nelson Mandela University, Department of Computing Sciences)

  • Ifeoluwapo Fashoro

    (Nelson Mandela University, Department of Computing Sciences)

  • Brenda Scholtz

    (Nelson Mandela University, Department of Computing Sciences)

Abstract

Robotic Process Automation (RPA) technology incorporates easy-to-develop and deploy software bots that emulate human interactions with digital systems and software. This paper aims to analyse the value of RPA as a healthcare technology by evaluating to what extent it fits with the characteristics of administrative healthcare tasks. The Task-Technology Fit (TTF) theory was used to analyse articles reporting cases of successful RPA implementation in healthcare. A qualitative thematic analysis process was employed to analyse the collected data. Administrative healthcare task characteristics were classified as routine or non-routine tasks. Patient registration and appointment booking are routine tasks, while data validation and analysis and exception handling are non-routine. The adopted RPA characteristics included attended bots, unattended bots, seamless integration, Optical Character Recognition (OCR) and rule-based exception handling. The findings indicate that RPA provides value to the healthcare industry and is a strong fit for automating administrative healthcare tasks. Streamlining administrative healthcare tasks with RPA enhances operational efficiency, reduces errors and frees time for healthcare professionals by relieving them from the burden of their administrative tasks. These benefits, therefore, enable healthcare workers to focus more on providing quality patient care.

Suggested Citation

  • Phillip Sibanda & Ifeoluwapo Fashoro & Brenda Scholtz, 2026. "An Analysis of the Value of Robotic Process Automation for Healthcare Administration Using the Task-Technology Fit Theory," Progress in IS, in: Jorge Marx Gómez & Roopesh Kevin Sungkur & Sameerchand Pudaruth & Jan-Hendrik Witte & Gerrit Schuman (ed.), Recent Advances in Information Systems, pages 625-638, Springer.
    • Handle: RePEc:spr:prochp:978-3-032-14099-9_41
    DOI: 10.1007/978-3-032-14099-9_41
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