Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations

Jani Kaitosalmi, Milla Ratia

2024

Abstract

Automation technologies such as robotic process automation (RPA) and intelligent automation (IA) are essential for managing rising healthcare costs and ensuring sustainable health services. Although these solutions have been implemented in several Finnish healthcare organizations, their overall impact has not been systematically evaluated. This research investigates the impact and evaluation of healthcare automation through a multi-case study conducted in two Finnish healthcare organizations. While automation has improved resource utilization, process efficiency, and standardization across units, the findings highlight the need for a more comprehensive evaluation and continuous monitoring of automation benefits. Future research should focus on developing a specific evaluation framework tailored to healthcare automation technologies. The adoption of holistic evaluation methods could allow healthcare organizations to better understand the impact of automation and further enhance operational efficiency and patient care.

Paper Citation

in Harvard Style

Kaitosalmi J. and Ratia M. (2024). Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-716-0, SciTePress, pages 246-255. DOI: 10.5220/0012947100003838

in Bibtex Style

@conference{kmis24,
author={Jani Kaitosalmi and Milla Ratia},
title={Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2024},
pages={246-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012947100003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations
SN - 978-989-758-716-0
AU - Kaitosalmi J.
AU - Ratia M.
PY - 2024
SP - 246
EP - 255
DO - 10.5220/0012947100003838
PB - SciTePress