Patient Decision and Experience in the Multi-channel Appointment Context (Preprint)

2020 ◽  
Author(s):  
Hong Wu
Keyword(s):  
Waiting Time ◽  
Tertiary Hospital ◽  
The Internet ◽  
High Quality ◽  
Channel Choice ◽  
High Severity ◽  
Patient Decision ◽  
Multiple Visit ◽  
Disease Costs ◽  
Patient Waiting Time

BACKGROUND Long waiting time for treatment in the outpatient department has long been a complaint and influence patient experience. It is critical to schedule patients for doctors to reduce patient waiting time. Nowadays, the multi-channel appointment has been provided for patients to get medical services, especially for ones with severe illnesses and remote distance. OBJECTIVE Under the multi-channel appointment context, the determinants of patients’ appointment decision and experience become more complicated and are needed to be investigated. METHODS From the point of patient, this paper uses a real operation dataset (1,241 doctors from 119 departments, involving 308,085 patients) from a tertiary hospital in China to investigate the antecedents and consequence of patients’ appointment decision. RESULTS Our results show that a patient with online appointment decision has a shorter consultation waiting time compared with a patient with on-site appointment. High-quality resource demand, high-severity disease, and high non-disease costs create an obvious incentive for patients to make appointments via the Internet. Further, only the effect of non-disease cost on channel choice is lower for patients with multiple visit histories. CONCLUSIONS This study produces several insights, which have implications for channel choice and patient behavior literature. More importantly, these insights as a whole, contribute to the design of appointment systems of hospitals.

Patient Decision and Experience in the Multi-channel Appointment Context: An Empirical Study (Preprint)

2021 ◽  
Author(s):  
qing Ye ◽  
Hong Wu
Keyword(s):  
Risk Factors ◽  
Waiting Time ◽  
Ordinary Least Squares ◽  
Channel Choice ◽  
Related Risk ◽  
Disease Costs ◽  
Health Related ◽  
Patient Waiting Time ◽  
Patient Appointment ◽  
Patient Waiting

BACKGROUND Long waiting time for treatment in the outpatient department has long been a complaint and influence patient experience. It is critical to schedule patients for doctors to reduce patient waiting time. Nowadays, the multi-channel appointment has been provided for patients to get medical services, especially for those with severe illnesses and remote distance. OBJECTIVE This study aims to explore the factors influencing patient appointment channel choice in the context of multi-channel appointments, and how channel choice affects the waiting time for offline visiting. METHODS We collected outpatient appointment records from both online and offline appointment channels to conduct our empirical research. The empirical analysis is conducted into two steps. We first analyze the relationship between appointment channel choice and patient waiting time, and then the relationships between three determinants and appointment channel choice. The ordinary least squares and the logistic regression model are used to obtain empirical results. RESULTS Our results show that a patient with an online appointment decision has a shorter consultation waiting time compared with a patient with on-site appointment (β = -0.320, p<0.001). High-quality resource demand (β = 0.349, p<0.001), high-severity disease (β = 0.011, p<0.001), and high non-disease costs (β = 0.039, p<0.001) create an obvious incentive for patients to make appointments via the Internet. Further, only the effect of non-disease cost on channel choice is lower for patients with multiple visit histories (β = -0.021, p<0.001). CONCLUSIONS Our study confirms the effect of Internet use on reducing patient waiting time. Patients consider both health-related risk factors and cost-related risk factors to make decisions on appointment channels. Our study produces several insights, which have implications for channel choice and patient behavior literature. More importantly, these insights as a whole, contribute to the design of appointment systems of hospitals.

scholarly journals Patient waiting time and satisfaction in GP clinic at a tertiary hospital in Thailand

2018 ◽  
Vol 192 ◽  
pp. 01034
Author(s):  
Apichart Boonma ◽  
Kanchana Sethanan ◽  
Sukangkana Talangkun ◽  
Teerawat Laonapakul
Keyword(s):  
Standard Deviation ◽  
Waiting Time ◽  
Qualitative Data ◽  
Arrival Time ◽  
Tertiary Hospital ◽  
Satisfaction Survey ◽  
Patient Satisfaction Survey ◽  
Patient Waiting Time ◽  
General Practice Clinic ◽  
Patient Waiting

This study aims to investigate patient waiting time in General Practice Clinic and identify the main cause of the problem through patient satisfaction survey. 9,232 Patients were randomly observed and quantitative data such as arrival time and waiting time were recorded. Other 1,200 patients were randomly selected for satisfaction survey which is considered as qualitative data. The result indicated that average waiting time of patients was 175.87 minutes with standard deviation of 68.66 minutes. Waiting time at GP clinic appeared to be the longest with an average of 92.9 minutes and standard deviation of 43.4 minutes. Also, based on the obtained data, patients remained positive until their waiting time exceeded 2 hours.

Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts

2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Image Forensics ◽  
Video Data ◽  
Experimental Results ◽  
Video Sequences ◽  
The Internet ◽  
Video Content ◽  
High Quality ◽  
The Public

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

scholarly journals The Impact of Longer Consultation Time: A Simulation-Based Approach

2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour
Keyword(s):  
Waiting Time ◽  
Quality Care ◽  
Working Hours ◽  
Discrete Events ◽  
Simulation Based ◽  
Patient Waiting Time ◽  
Free Environment ◽  
The Impact ◽  
Consultation Time ◽  
Patient Waiting

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.

scholarly journals Regional education on endoscopic surgery using a teleconference system with high-quality video via the internet: Saga surgical videoconferences

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tatsuya Manabe ◽  
Mitsuhiro Takasaki ◽  
Takao Ide ◽  
Kenji Kitahara ◽  
Seiji Sato ◽  
...  
Keyword(s):  
Endoscopic Surgery ◽  
Educational System ◽  
High Speed ◽  
The Internet ◽  
Web Conferencing ◽  
High Quality ◽  
Anatomical Structures ◽  
Quality Video ◽  
High Quality Video ◽  
Conferencing System

Abstract Background Effective education about endoscopic surgery (ES) is greatly needed for unskilled surgeons, especially at low-volume institutions, to maintain the safety of patients. We have tried to establish the remote educational system using videoconference system through the internet for education about ES to surgeons belonging to affiliate institutions. The aim of this manuscript was to report the potential to establish a comfortable remote educational system and to debate its advantages. Methods We established a local remote educational conference system by combining the use of a general web conferencing system and a synchronized remote video playback system with annotation function through a high-speed internet. Results During 2014–2019, we conducted 14 videoconferences to review and improve surgeons’ skills in performing ES at affiliated institutions. At these conferences, while an uncut video of ES that had been performed at one of the affiliated institutions was shown, the surgical procedure was discussed frankly, and expert surgeons advised improvements. The annotation system is useful for easy, prompt recognition among the audience regarding anatomical structures and procedures that are difficult to explain verbally. Conclusions This system is of low initial cost and offers easy participation and high-quality videos. It would therefore be a useful tool for regional ES education.

Announcing Waiting Time in Emergency Departments

2019 ◽  
pp. 1-6
Author(s):  
Martin Lariviere ◽  
Sarang Deo
Keyword(s):  
Waiting Time ◽  
Emergency Departments ◽  
Waiting Times ◽  
Large Network ◽  
Regional Networks ◽  
Marketing Campaign ◽  
National Healthcare ◽  
Time Estimates ◽  
Patient Waiting Time ◽  
Patient Waiting

First National Healthcare (FNH) runs a large network of hospitals and has worked to systematically reduce waiting times in its emergency departments. One of FNH's regional networks has run a successful marketing campaign promoting its low ED waiting times that other regions want to emulate. The corporate quality manager must now determine whether to allow these campaigns to be rolled out and, if so, which waiting time estimates to use. Are the numbers currently being reported accurate? Is there a more accurate way of estimating patient waiting time that can be easily understood by consumers?

scholarly journals Impact of value added services on patient waiting time at the ambulatory pharmacy Queen Elizabeth Hospital

2017 ◽  
Vol 15 (1) ◽  
pp. 846-846 ◽  
Author(s):  
Benjamin C. Loh ◽  
Kheng F. Wah ◽  
Carolyn A. Teo ◽  
Nadia M. Khairuddin ◽  
Fairenna B. Fairuz ◽  
...  
Keyword(s):  
Waiting Time ◽  
Value Added ◽  
Queen Elizabeth Hospital ◽  
Patient Waiting Time ◽  
Patient Waiting
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