Abstract
To improve patient flow and reduce provider workload, joint visit has been proposed and implemented in many primary care clinics. In such systems, the provider and medical assistant (MA) visit the patient jointly; while the provider diagnoses and interacts with the patient, the MA handles necessary documentation work. This article introduces Markov chain models of patient flow with joint visits, and investigates the system behavior under different scenarios. To reduce the state space dimension, convergent iterative procedures are proposed. The study is extended to the non-Markovian case by introducing empirical formulas based on the mean and coefficient of variation (CV) of service times. The results have been validated with good accuracy. To illustrate the applicability of the methods, an application study at Dean East Clinic is presented. © 2018 “IISE”.
| Original language | English |
|---|---|
| Pages (from-to) | 93-109 |
| Journal | IISE Transactions on Healthcare Systems Engineering |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 3 Apr 2018 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
Division of Civil, Mechanical and Manufacturing Innovation[1233807 and 1536987].
Research Keywords
- iteration
- joint service
- length of visit
- Markov chain
- patient flow
- Primary care
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