RFID technology-enabled Markov reward process for sequencing care coordination in ambulatory care: A case study

2019 ◽  
Vol 48 ◽  
pp. 12-21 ◽  
Author(s):  
Yi-Chin Kato-Lin ◽  
Rema Padman
1993 ◽  
Vol 30 (3) ◽  
pp. 548-560 ◽  
Author(s):  
Yasushi Masuda

The main objective of this paper is to investigate the conditional behavior of the multivariate reward process given the number of certain signals where the underlying system is described by a semi-Markov process and the signal is defined by a counting process. To this end, we study the joint behavior of the multivariate reward process and the multivariate counting process in detail. We derive transform results as well as the corresponding real domain expressions, thus providing clear probabilistic interpretation.


2008 ◽  
pp. 1022-1039
Author(s):  
Jason Sargent ◽  
Carole Alcock ◽  
Lois Burgess ◽  
Joan Cooper ◽  
Damian Ryan

This chapter discusses the broad theme of clinician-centric end-user acceptance toward the adoption of personal digital assistants (PDAs) as mobile-based health information deployment platforms within ambulatory care service settings. Personal digital assistants, ambulatory care, and point of care are defined and the interrelatedness of each discussed. Issues, controversies, and problems such as mapping existing workflows, security, and change management are identified, and solutions are suggested for the process of transforming predominantly paper-based ambulatory care systems into electronic point-of-care (ePOC) systems. A current research and development project, the ePOC PDA project, is used as a case study to highlight discussion points. The purpose of this chapter is to illustrate end-user implications and considerations when introducing ePOC systems into ambulatory care service settings and highlight ways and means of improving future levels of acceptance and support of ePOC systems for clinician end users.


1988 ◽  
Vol 20 (01) ◽  
pp. 99-111 ◽  
Author(s):  
Nico M. Van Dijk

Consider a perturbation in the one-step transition probabilities and rewards of a discrete-time Markov reward process with an unbounded one-step reward function. A perturbation estimate is derived for the finite horizon and average reward function. Results from [3] are hereby extended to the unbounded case. The analysis is illustrated for one- and two-dimensional queueing processes by an M/M/1-queue and an overflow queueing model with an error bound in the arrival rate.


1993 ◽  
Vol 30 (03) ◽  
pp. 548-560 ◽  
Author(s):  
Yasushi Masuda

The main objective of this paper is to investigate the conditional behavior of the multivariate reward process given the number of certain signals where the underlying system is described by a semi-Markov process and the signal is defined by a counting process. To this end, we study the joint behavior of the multivariate reward process and the multivariate counting process in detail. We derive transform results as well as the corresponding real domain expressions, thus providing clear probabilistic interpretation.


Author(s):  
Samuel Fosso Wamba ◽  
Ygal Bendavid ◽  
Louis A. Lefebvre ◽  
Elisabeth Lefebvre

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