Performance prediction of interactive telemedicine

Abstract Telemedicine is a remote medical practice, which utilizes information and communication technology to provide healthcare and exchange of health information for distance places. Diagnosis and prescription for rural and remote area patients are the main advantages of this system. The major categories of telemedicine are store-and-forward, remote patient monitoring and interactive telemedicine. Interactive telemedicine is a real-time interaction between patients and doctors. This method can be conducted in a nursing home or at the patient's house via a video-conferencing system. Moreover, this is more convenient for patients, than to obtain health care with a caretaker in person. However, Internet-based networks are congested with many users. We considered interactive telemedicine as a queueing system and analyzed it by using the method of supplementary variables. We obtained the performance measures through a probability generating function. The numerical results of the queueing system may be useful to provide service satisfactorily and update the utility function of interactive telemedicine.

[1]  Cristina Masella,et al.  Telemedicine services: How to make them last over time , 2017 .

[2]  Kailash C. Madan,et al.  An M/G/1 queue with second optional service , 1999, Queueing Syst. Theory Appl..

[3]  H. Krumholz,et al.  Telemonitoring for patients with chronic heart failure: a systematic review. , 2007, Journal of cardiac failure.

[4]  Gautam Choudhury,et al.  A single server queueing system with two phases of service subject to server breakdown and Bernoulli vacation , 2012 .

[5]  Anthony C. Smith,et al.  A systematic review of the methodologies used to evaluate telemedicine service initiatives in hospital facilities , 2017, Int. J. Medical Informatics.

[6]  D. Cox.  The analysis of non-Markovian stochastic processes by the inclusion of supplementary variables , 1955, Mathematical Proceedings of the Cambridge Philosophical Society.

[7]  Gautam Choudhury,et al.  A batch arrival unreliable server delaying repair queue with two phases of service and Bernoulli vacation under multiple vacation policy , 2018 .

[8]  Chinmay Chakraborty,et al.  A review on telemedicine-based WBAN framework for patient monitoring. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[9]  Sandeep Kaur,et al.  Performance analysis of bulk arrival queue with balking, optional service, delayed repair and multi-phase repair , 2017 .

[10]  Wen Lea Pearn,et al.  The performance measures and randomized optimization for an unreliable server M[x]/G/1 vacation system , 2011, Appl. Math. Comput..

[11]  Bernard Kamsu-Foguem,et al.  Modeling for effective collaboration in telemedicine , 2015, Telematics Informatics.

[12]  R. Scott,et al.  The socio-economic impact of telehealth: A systematic review , 2003, Journal of telemedicine and telecare.

[13]  Madan Dharmar,et al.  Impact of a University-Based Outpatient Telemedicine Program on Time Savings, Travel Costs, and Environmental Pollutants. , 2017, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[14]  Jinting Wang,et al.  An M/G/1 queue with second optional service and server breakdowns , 2004 .

[15]  Richard Wootton,et al.  A bibliographic snapshot of the telemedicine citation literature , 2006 .

[16]  Yi Mu,et al.  Practical and secure telemedicine systems for user mobility , 2017, J. Biomed. Informatics.

[17]  Jesús R. Artalejo,et al.  Retrial Queueing Systems , 2008 .

[18]  P. Godhandaraman,et al.  Retrial queueing system with balking, optional service and vacation , 2015, Ann. Oper. Res..

[19]  Tom H. F. Broens,et al.  Determinants of successful telemedicine implementations: a literature study , 2007, Journal of telemedicine and telecare.

[20]  V. Mbarika,et al.  What is telemedicine? A collection of 104 peer-reviewed perspectives and theoretical underpinnings. , 2007, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[21]  James G. C. Templeton,et al.  A survey on retrial queues , 1989 .

[22]  Dong-Yuh Yang,et al.  On an unreliable retrial queue with general repeated attempts and J optional vacations , 2016 .

[23]  A. Drago,et al.  Videoconferencing in psychiatry, a meta-analysis of assessment and treatment , 2016, European Psychiatry.

[24]  Wolfgang A. Halang,et al.  Recommender Systems in Telemedicine , 2013, PDeS.

[25]  Jau-Chuan Ke,et al.  Analysis of an Unreliable Server M[X]/G/1 System with a Randomized Vacation Policy and Delayed Repair , 2010 .

[26]  Gautam Choudhury,et al.  A batch arrival retrial queueing system with two phases of service and service interruption , 2010, Comput. Math. Appl..

[27]  Dong-Yuh Yang,et al.  Analysis of a batch arrival queue with vacation policy and exceptional service , 2016 .

[28]  Gautam Choudhury,et al.  An M/G/1 retrial queueing system with two phases of service subject to the server breakdown and repair , 2008, Perform. Evaluation.

[29]  P. Godhandaraman,et al.  Analysis of an MX/G/1 Retrial Queue with Two Phases of Service, Balking, Feedback and K Optional Vacations , 2012 .

[30]  S. Subha,et al.  Analysis of performance measures to handle medical E-commerce shopping cart abandonment in cloud , 2017 .

[31]  Gautam Choudhury,et al.  An MX/G/1 unreliable retrial queue with two phases of service and Bernoulli admission mechanism , 2009, Appl. Math. Comput..

[32]  Hermie Hermens,et al.  Usability in telemedicine systems - A literature survey , 2016, Int. J. Medical Informatics.

[33]  Global geriatric evaluation is feasible during interactive telemedicine in nursing homes , 2017 .

[34]  Carl M. Harris,et al.  Fundamentals of queueing theory , 1975 .

[35]  C. Nelson,et al.  Impact of store-and-forward (SAF) teledermatology on outpatient dermatologic care: A prospective study in an underserved urban primary care setting. , 2016, Journal of the American Academy of Dermatology.

[36]  Jahidul Hasan.  Effective telemedicine project in Bangladesh: Special focus on diabetes health care delivery in a tertiary care in Bangladesh , 2012, Telematics Informatics.

[37]  J. Kokesh,et al.  Preoperative planning for ear surgery using store-and-forward telemedicine , 2010, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.