Implementing robotic process automation to improve operational efficiency in the health-care sector
Keywords:
health-care, Robotic Process Automation (RPA), ImplementingAbstract
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.
Downloads
References
Aguirre, S. and Rodriguez, A. “Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study “ , in Conference: Workshop on Engineering Applications, p. 65-71. 2017
Berrutti, F. Nixon, G. Taglioni, G. and Whiteman, R.“Intelligent process automation: The engine at the core of the next-generation operating model.“ 2017. [cited 02.08.2021].
Herm, L., Janiesch, C., Steinbach, T. and Wüllner, D. “Managing RPA implementation projects.“ in: Robotic Process Automation. (Czarnecki, C. and Fettke, P. eds.), pp. 27-46.
Sampson, S. “Predicting Automation of Professional Jobs in Healthcare.“ In 53rd Hawaii International Conference on System Sciences, HICSS 2020, 2020. pp. 1-9, 2020.
Santos, F., Pereira, R. and Braga Vasconcelos, J. “Toward robotic process automation implementation: an end-toend perspective“. Business Process Management Journal, vol. 26, no. 2, pp. 405-420. 2020
Schmitz, M., Dietze, C. and Czarnecki, C. “Enabling digital transformation through robotic process automation at Deutsche Telekom.“ In: Digitalization cases. Springer, pp. 15–33. 2019.
Staaby, A. & Hansen, K. & Grønli, T-M. “Automation of Routine Work: A Case Study of Employees' Experiences of Work Meaningfulness.“ in Proceedings of the 54th Hawaii International Conference on System Science, pp. 156-165. 2021
Syed, R., Suriadi, S., Adams, M., Bandara, W., Leemans, S.J., Ouyang, C., ter Hofstede, A.H., van de Weerd, I., Wynn, M.T. and Reijers, H.A. “Robotic process automation: contemporary themes and challenges.“ Computers in Industry, vol. 115, pp. 1–15. 2020
Willcocks, L.P., Lacity, M. and Craig, A. “The IT function and robotic process automation.“ The Outsourcing Unit Working Research Paper Series, vol. 15, no. 5. (2015).
https://aithority.com/guest-authors/rpa-in-healthcare-the-key-to-scalin…
http://ir.isg-one.com/file/Index? KeyFile=2000400287
http://techhubly.com/lexisnexis-resources/files/A%20Business%20Case%20f…
https://hbr.org/2020/04/how-hospitals-are-using-ai-to-battle-covid-19
https://healthtechmagazine.net/article/2020/07/healthcare-automation-ma…
https://www.iotevolutionworld.com/m2m/articles/445386-hospitals-facing-…
https://www.wsj.com/articles/calling-all-robots-businesses-automate-the…
https://www.softwebsolutions.com/resources/rpa-solution-for-healthcare-industry.html
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.








