scholarly journals Dynamic Appointment Scheduling for Outpatient Clinics with Multiple Physicians and Patient Choice

2021 ◽  
Author(s):  
Chongjun Yan ◽  
George G.Q. Huang ◽  
Yong-Hong Kuo ◽  
Jiafu Tang
Keyword(s):  
Appointment Scheduling ◽  
Patient Choice ◽  
Outpatient Clinics

scholarly journals Appointment Scheduling at Outpatient Clinics Using Two-Stage Stochastic Programming Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 175297-175305
Author(s):  
Samira Fazel Anvaryazdi ◽  
Saravanan Venkatachalam ◽  
Ratna Babu Chinnam
Keyword(s):  
Stochastic Programming ◽  
Appointment Scheduling ◽  
Outpatient Clinics ◽  
Programming Approach ◽  
Two Stage

PATIENT SATISFACTION WITH MEDICAL ENCOUNTERS IN NEUROLOGY OUTPATIENT CLINICS

2015 ◽  
Vol 86 (11) ◽  
pp. e4.163-e4
Author(s):  
Markus Reuber ◽  
Merran Toerien ◽  
Hannah Wiseman ◽  
Rebecca Shaw ◽  
Rod Duncan
Keyword(s):  
Public Policy ◽  
Regression Analysis ◽  
Patient Satisfaction ◽  
Patient Choice ◽  
Outpatient Clinics ◽  
Medical Interview ◽  
Satisfaction Scale ◽  
Policy Documents ◽  
Clinical Encounters ◽  
Spearman's Rho

AimRecent public policy documents have emphasised the need for healthcare practitioners to give patients choice. As part of a larger qualitative project investigating how neurologists give patients choices, we explored whether evidence of patient choice is associated with higher patient satisfaction.MethodFourteen neurologists and 223 patients were recruited in neurology outpatient clinics in Glasgow and Sheffield. All participants completed post-appointment questionnaires assessing whether choice was offered or perceived. Clinicians also rated the extent to which symptoms were medically explained. Patients completed the Medical Interview Satisfaction Scale-21 (MISS-21).ResultsTwo dominant factors contributed to the total MISS-21 scale, ‘rapport’ and ‘distress-relief’. Regression analysis showed that the extent to which symptoms were medically explained predicted most of the variance on both subscales and the total MISS-21 score. Spearman's rho correlations showed greater patient satisfaction if symptoms were medically explained and if no choice had been offered or perceived.ConclusionThere was no evidence that giving patients choices in interaction increased patient satisfaction with clinical encounters. Our findings suggest that patient satisfaction is most strongly influenced by the extent to which neurologists perceive symptoms as medically explained.

A simulation study of appointment scheduling in outpatient clinics: Open access and overbooking

SIMULATION ◽  
2013 ◽  
Vol 89 (12) ◽  
pp. 1459-1473 ◽  
Author(s):  
Sangbok Lee ◽  
Daiki Min ◽  
Jong-hyun Ryu ◽  
Yuehwern Yih
Keyword(s):  
Open Access ◽  
Simulation Study ◽  
Appointment Scheduling ◽  
Outpatient Clinics

Dynamic appointment scheduling with patient preferences and choices

2015 ◽  
Vol 115 (4) ◽  
pp. 700-717 ◽  
Author(s):  
Jin Wang ◽  
Richard Y.K. Fung
Keyword(s):  
Patient Preference ◽  
Patient Preferences ◽  
Appointment Scheduling ◽  
Patient Choice ◽  
Outpatient Department ◽  
Content Type ◽  
Numerical Studies ◽  
Proposed Model ◽  
Outpatient Departments ◽  
Lp Model

Purpose – The purpose of this paper is to maximize the expected revenue of the outpatient department considering patient preferences and choices. Design/methodology/approach – Patient preference refers to the preferred physician and time slot that patients hold before asking for appointments. Patient choice is the appointment decision the patient made after receiving a set of options from the scheduler. The relationship between patient choices and preferences is explored. A dynamic programming (DP) model is formulated to optimize appointment scheduling with patient preferences and choices. The DP model is transformed to an equivalent linear programming (LP) model. A decomposition method is proposed to eliminate the number of variables. A column generation algorithm is used to resolve computation problem of the resulting LP model. Findings – Numerical studies show the benefit of multiple options provided, and that the proposed algorithm is efficient and accurate. The effects of the booking horizon and arrival rates are studies. A policy about how to make use of the information of patient preferences is compared to other naive polices. Experiments show that more revenue can be expected if patient preferences and choices are considered. Originality/value – This paper proposes a framework for appointment scheduling problem in outpatient departments. It is concluded that more revenue can be achieved if more choices are provided for patients to choose from and patient preferences are considered. Additionally, an appointment decision can be made timely after receiving patient preference information. Therefore, the proposed model and policies are convenient tools applicable to an outpatient department.

Sequential appointment scheduling considering patient choice and service fairness

2015 ◽  
Vol 53 (24) ◽  
pp. 7376-7395 ◽  
Author(s):  
Chongjun Yan ◽  
Jiafu Tang ◽  
Bowen Jiang ◽  
Richard Y.K. Fung
Keyword(s):  
Appointment Scheduling ◽  
Patient Choice ◽  
Service Fairness

Appointment scheduling in multi-stage outpatient clinics

2018 ◽  
Vol 22 (2) ◽  
pp. 229-244 ◽  
Author(s):  
Kenneth J. Klassen ◽  
Reena Yoogalingam
Keyword(s):  
Appointment Scheduling ◽  
Outpatient Clinics ◽  
Multi Stage

scholarly journals Evaluation of patient satisfaction of the status of appointment scheduling systems in outpatient clinics: Identifying patients' needs

2018 ◽  
Vol 9 (2) ◽  
pp. 51 ◽  
Author(s):  
Saeid Eslami ◽  
MohammadReza Mazaheri Habibi ◽  
FahimehMohammad Abadi ◽  
Hamed Tabesh ◽  
Hasan Vakili-Arki ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Appointment Scheduling ◽  
Outpatient Clinics ◽  
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