|
|
|
|
LEADER |
02003nam a2200229Ia 4500 |
001 |
10.1111-poms.12858 |
008 |
220706s2018 CNT 000 0 und d |
020 |
|
|
|a 10591478 (ISSN)
|
245 |
1 |
0 |
|a Missed Opportunities in Preventing Hospital Readmissions: Redesigning Post-Discharge Checkup Policies
|
260 |
|
0 |
|b Wiley-Blackwell
|c 2018
|
856 |
|
|
|z View Fulltext in Publisher
|u https://doi.org/10.1111/poms.12858
|
520 |
3 |
|
|a Hospital readmissions affect hundreds of thousands of patients every year, negatively impacting patients and placing a tremendous burden on the national healthcare system. Post-discharge checkup policies can reduce readmissions through early detection of health conditions, however, the methods behind designing effective checkup policies are poorly understood. Under current practice, up to 67% of readmitted patients return to the hospital before their first scheduled office visit. This work aims to develop effective checkup plans to monitor patients following hospital discharge, using a variety of checkup methods, including phone calls and office visits. We develop and analyze a new delay-time analysis model to identify the optimal type and timing of checkups to implement post-discharge monitoring plans. By analyzing the structure of optimal policies, we develop checkup schedules that can detect up to 43.7% more readmission-causing conditions experienced by readmission-bound patients. Further, we uncover simple rules of thumb that can help doctors design and improve monitoring plans even in the absence of advanced computer software or complex computations. © 2018 Production and Operations Management Society
|
650 |
0 |
4 |
|a disease screening
|
650 |
0 |
4 |
|a hospital readmissions
|
650 |
0 |
4 |
|a machine maintenance delay-time model
|
650 |
0 |
4 |
|a telemedicine
|
700 |
1 |
|
|a Helm, J.E.
|e author
|
700 |
1 |
|
|a Hu, M.
|e author
|
700 |
1 |
|
|a Lavieri, M.S.
|e author
|
700 |
1 |
|
|a Liu, X.
|e author
|
700 |
1 |
|
|a Skolarus, T.A.
|e author
|
773 |
|
|
|t Production and Operations Management
|