Implementing robotic process automation to improve operational efficiency in the health-care sector

https://doi.org/10.53730/ijhs.v6nS1.7256

Authors

  • N. Sumathi Associate Professor & Head, Department of Information Technology, Sri Ramakrishna College of Arts and Science, Coimbatore
  • A. Jeyalakshmi Associate Professor, Department of Information Technology, Sri Ramakrishna College of Arts and Science, Coimbatore

Keywords:

health-care, Robotic Process Automation (RPA), Implementing

Abstract

Robotic Process Automation (RPA) is a technique that is rapidly being utilised as a tool to automate, maintain, analyse, and update existing databases in a cost-effective and error-free manner. The majority of healthcare procedures are the same. As a result, deploying Automation solutions in the healthcare industry pays off handsomely for the firm. The Patient Registration procedure is one of the best application reasons for RPA adoption. As requested by the hospital, collect information from patients. Finally, all of the patient's records should be integrated and updated in one location. Manually performing these activities takes a long time and can result in a lot of human mi stakes. Patients must also wait in line to submit their applications if they are done manually. RPA in Patient Register will not only speed up and streamline the process, but it will also improve customer satisfaction and provide a competitive advantage. As a result, a healthcare bot can take over such routine activities from a human staff, allowing them to focus on more important diagnostic and analytical tasks. In addition, an RPA database may be utilised to schedule doctor's visits and deliver all pertinent information to the doctor with a single click.

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Published

12-05-2022

How to Cite

Sumathi, N., & Jeyalakshmi, A. (2022). Implementing robotic process automation to improve operational efficiency in the health-care sector. International Journal of Health Sciences, 6(S1), 9666–9672. https://doi.org/10.53730/ijhs.v6nS1.7256

Issue

Section

Peer Review Articles