This paper is published in Volume-8, Issue-5, 2022
Area
Healthcare Sector (Service Scheduling)
Author
Aryan Smith, Aryan Jain, Anushka Agarwal, Arhan Shroff, Aryan Verma, Veerendra Anchan
Org/Univ
Anil Surendra Modi School of Commerce, Mumbai, Maharashtra, India
Pub. Date
19 September, 2022
Paper ID
V8I5-1151
Publisher
Keywords
Service Scheduling, Healthcare, Review, Operation Research, Queueing

Citationsacebook

IEEE
Aryan Smith, Aryan Jain, Anushka Agarwal, Arhan Shroff, Aryan Verma, Veerendra Anchan. Operations Research on service scheduling in the healthcare sector: A systematic review, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aryan Smith, Aryan Jain, Anushka Agarwal, Arhan Shroff, Aryan Verma, Veerendra Anchan (2022). Operations Research on service scheduling in the healthcare sector: A systematic review. International Journal of Advance Research, Ideas and Innovations in Technology, 8(5) www.IJARIIT.com.

MLA
Aryan Smith, Aryan Jain, Anushka Agarwal, Arhan Shroff, Aryan Verma, Veerendra Anchan. "Operations Research on service scheduling in the healthcare sector: A systematic review." International Journal of Advance Research, Ideas and Innovations in Technology 8.5 (2022). www.IJARIIT.com.

Abstract

The current state of healthcare in the world is dire, with millions of people unable to access healthcare services on time. One of the key reasons behind this problem is the lack of operational efficiency in many clinics and hospitals, caused due to unscientific scheduling practices. Hence, this paper seeks to conduct a systematic review of the existing research done in the field of healthcare service scheduling, and its multiple sub-sections viz. appointment scheduling, nurse rostering, home healthcare scheduling, etc. The bibliometric review found that majority of the research in the aforementioned field is scattered and lacks integration. Moreover, past research has primarily employed matheuristics, mixed integer linear programming and simulation approaches to solve service scheduling problems, without exploring other methods to a great extent. In the end, we suggest some topics in which future research can be conducted.