false
OasisLMS
Login
Catalog
SHM Converge Scientific Abstract ePoster Gallery
Geographic Localization by Hospitalist Team at an ...
Geographic Localization by Hospitalist Team at an Academic Hospital
Back to course
Pdf Summary
This project evaluated a hospitalist team geolocalization initiative at a 700-bed academic medical center, aiming for 90% same-tower and 80% same-unit patient assignment, while also monitoring length of stay and safety balancing metrics.<br /><br />Before July 11, 2022, the hospital used a team-before-bed model. The intervention shifted direct care patients to a bed-before-team model, kept teaching teams largely unit-based, added twice-daily multidisciplinary discharge rounds, pre-assigned boarded ED patients to units, and performed a full patient reshuffle at launch. Weekly reshuffling then continued for direct care patients.<br /><br />Results showed that the initial spike in geolocalization was due to the large reshuffle on 7/11/22. Average correct tower and correct unit geolocalization rates were:<br />- House staff teams: 85.45% tower, 77.91% unit<br />- Direct care teams: 97.09% tower, 90.18% unit<br />- All teams combined: 92.27% tower, 85.27% unit<br /><br />After the intervention, average length of stay declined in August and September, with this decrease identified as non-random special cause variation. Changes in balancing metrics—risk-adjusted 30-day readmissions and risk-adjusted mortality—were not significant.<br /><br />The authors conclude that the project offers a workable model for improving geolocalization in high-capacity hospitals. They attribute the early LOS improvement to stronger multidisciplinary discharge planning and localized care teams, and plan a second PDSA cycle focused on near-100% correct unit geolocalization to further reduce length of stay.
Asset Subtitle
Ryan Bailey
Meta Tag
Author List
Anjali Gupta, Ankur Segon, Gregory Bowling, Lisa Dodge, Nelson Tuazon, Patrick J. Palacios, Ryan Bailey, Saket Kottewar
Category
Research
Concept
Hospitalist Geolocalization Initiative
Concept
Geographic Patient Localization
Concept
Length of Stay
Concept
Same-Tower Placement
Concept
Same-Unit Placement
Distinguished
Non-Finalist
Presenter Organization
Long School of Medicine
Presenting Author
Ryan Bailey
Track
Quality Improvement
Keywords
hospitalist team
geolocalization
academic medical center
bed-before-team model
patient assignment
length of stay
multidisciplinary discharge rounds
readmission rates
mortality metrics
PDSA cycle
Hospitalist Geolocalization Initiative
Geographic Patient Localization
Length of Stay
Same-Tower Placement
Same-Unit Placement
×
Please select your language
1
English