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Book chapter · Conference paper

Improving the Patient Visit Process in the Pre-treatment Phase

Edited by Andersen, A. -L.

From

Aarhus University1

Department of Mechanical Engineering, Technical University of Denmark2

Engineering Design and Product Development, Department of Mechanical Engineering, Technical University of Denmark3

During the last decade, more healthcare organizations have been turning to Lean and data driven principles to improve the efficiency and generate a positive impact on throughout, patient satisfaction and quality care. Given the high competition in private healthcare market, the need for achieving higher quality medical care to attract new patients and retain existing patients is getting even more critical for private healthcare organizations such as infertility treatment clinics.

This paper builds, tests, and reports the results from the application of value stream mapping during the pre-treatment stage in an infertility treatment clinic. In the case study presented here, we demonstrate how analyzing healthcare processes early in the patient journey and mapping the pre-treatment stage enables the organization to identify the bottlenecks, eliminate waste and deliver more efficient customized patient-focused care.

After running a multitude of simulations, this study results in recommending two scenarios as the optimal future states that increase the capacity of the clinic, lower waiting times for patients, improve their experience, and lower the stress on the staff.

Language: English
Publisher: Springer
Year: 2022
Pages: 970-977
Proceedings: 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and 10th World Mass Customization & Personalization Conference (MCPC2021)International Conference on Changeable, Agile, Reconfigurable and Virtual Production
Series: Lecture Notes in Mechanical Engineering
Journal subtitle: Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (carv2021) and the 10th World Mass Customization and Personalization Conference (mcpc2021), Aalborg, Denmark, October/november 2021
ISBN: 303090699X , 303090699x , 3030907007 , 9783030906993 and 9783030907006
ISSN: 21954364 and 21954356
Types: Book chapter and Conference paper
DOI: 10.1007/978-3-030-90700-6_111
ORCIDs: 0000-0002-9395-5396 and Shafiee, Sara

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