Journal of Healthcare Engineering / 2017 / Article / Tab 9

Research Article

Resource Allocation and Outpatient Appointment Scheduling Using Simulation Optimization

Table 9

Patient classes and paths.

Class (%)DescriptionPath number (%)Path

1 (54%)Old (or continuing) cases1 (66.67%)Registration → visual acuity → measure eye pressure/apply eye drops → 
doctor’s consultation → appointment booking
2 (33.37%)Registration → visual acuity → measure eye pressure/apply eye drops → 
doctor’s consultation → health consultation

2 (27%)New cases1 (92.5%)Registration → nurse assessment → appointment booking
2 (7.5%)Registration → nurse assessment → visual acuity → measure eye pressure → 
nurse assessment → appointment booking

3 (10%)Enquiry cases1 (10%)Registration → nurse assessment → leave
2 (72%)Registration → nurse assessment → visual acuity → measure eye pressure → 
nurse assessment → appointment booking# → apply eye drops → doctor’s consultation
3 (18%)Registration → nurse assessment → visual acuity → measure eye pressure → 
nurse assessment → appointment booking# → doctor’s consultation

4 (9%)Day surgery cases1 (100%)Registration → eye examination → apply eye drops → educational TV session → 
doctor’s consultation → appointment booking (surgery operation) → nurse reminder

First diversion. #Second diversion.

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