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1.
Am J Emerg Med ; 36(8): 1367-1371, 2018 08.
Article in English | MEDLINE | ID: mdl-29331271

ABSTRACT

INTRODUCTION: Previous work has suggested that Emergency Department rotational patient assignment (a system in which patients are algorithmically assigned to physicians) is associated with immediate (first-year) improvements in operational metrics. We sought to determine if these improvements persisted over a longer follow-up period. METHODS: Single-site, retrospective analysis focused on years 2-4 post-implementation (follow-up) of a rotational patient assignment system. We compared operational data for these years with previously published data from the last year of physician self-assignment and the first year of rotational patient assignment. We report data for patient characteristics, departmental characteristics and facility characteristics, as well as outcomes of length of stay (LOS), arrival to provider time (APT), and rate of patients who left before being seen (LBBS). RESULTS: There were 140,673 patient visits during the five year period; 138,501 (98.7%) were eligible for analysis. LOS, APT, and LBBS during follow-up remained improved vs. physician self-assignment, with improvements similar to those noted in the first year of implementation. Compared with the last year of physician self-assignment, approximate yearly average improvements during follow-up were a decrease in median LOS of 18min (8% improvement), a decrease in median APT of 21min (54% improvement), and a decrease in LBBS of 0.69% (72% improvement). CONCLUSION: In a single facility study, rotational patient assignment was associated with sustained operational improvements several years after implementation. These findings provide further evidence that rotational patient assignment is a viable strategy in front-end process redesign.


Subject(s)
Emergency Service, Hospital/organization & administration , Emergency Service, Hospital/statistics & numerical data , Length of Stay/statistics & numerical data , Triage/methods , Adult , Aged , Arizona , Female , Humans , Male , Middle Aged , Patient Satisfaction , Process Assessment, Health Care , Retrospective Studies , Tertiary Care Centers , Time Factors , Workload
2.
Ann Emerg Med ; 67(2): 206-15, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26452721

ABSTRACT

STUDY OBJECTIVE: We compare emergency department (ED) operational metrics obtained in the first year of a rotational patient assignment system (in which patients are assigned to physicians automatically according to an algorithm) with those obtained in the last year of a traditional physician self-assignment system (in which physicians assigned themselves to patients at physician discretion). METHODS: This was a pre-post retrospective study of patients at a single ED with no financial incentives for physician productivity. Metrics of interest were length of stay; arrival-to-provider time; rates of left before being seen, left subsequent to being seen, early returns (within 72 hours), and early returns with admission; and complaint ratio. RESULTS: We analyzed 23,514 visits in the last year of physician self-assignment and 24,112 visits in the first year of rotational patient assignment. Rotational patient assignment was associated with the following improvements (percentage change): median length of stay 232 to 207 minutes (11%), median arrival to provider time 39 to 22 minutes (44%), left before being seen 0.73% to 0.36% (51%), and complaint ratio 9.0/1,000 to 5.4/1,000 (40%). There were no changes in left subsequent to being seen, early returns, or early returns with admission. CONCLUSION: In a single facility, the transition from physician self-assignment to rotational patient assignment was associated with improvement in a broad array of ED operational metrics. Rotational patient assignment may be a useful strategy in ED front-end process redesign.


Subject(s)
Decision Making , Emergency Service, Hospital/organization & administration , Triage/methods , Algorithms , Emergency Service, Hospital/statistics & numerical data , Hospitalization/statistics & numerical data , Humans , Length of Stay/statistics & numerical data , Patient Satisfaction , Process Assessment, Health Care , Retrospective Studies , Time Factors , Treatment Refusal/statistics & numerical data , Waiting Lists , Workload
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