comparemela.com

Latest Breaking News On - Case mix - Page 4 : comparemela.com

Hospital PMI® at 57.5%; November 2022 Hospital ISM® Report On Business®

Hospital PMI® at 51%; October 2022 Hospital ISM® Report On Business®

Hospital PMI® at 57.9%; September 2022 Hospital ISM® Report On Business®

Hospital PMI® at 53.5%; August 2022 Hospital ISM® Report On Business®

Small-area estimation for public health surveillance using electronic health record data: reducing the impact of underrepresentation | BMC Public Health

Electronic Health Record (EHR) data are increasingly being used to monitor population health on account of their timeliness, granularity, and large sample sizes. While EHR data are often sufficient to estimate disease prevalence and trends for large geographic areas, the same accuracy and precision may not carry over for smaller areas that are sparsely represented by non-random samples. We developed small-area estimation models using a combination of EHR data drawn from MDPHnet, an EHR-based public health surveillance network in Massachusetts, the American Community Survey, and state hospitalization data. We estimated municipality-specific prevalence rates of asthma, diabetes, hypertension, obesity, and smoking in each of the 351 municipalities in Massachusetts in 2016. Models were compared against Behavioral Risk Factor Surveillance System (BRFSS) state and small area estimates for 2016. Integrating progressively more variables into prediction models generally reduced mean absolute er

United-states
Cambridge
Cambridgeshire
United-kingdom
Massachusetts
American
Community-level-data
Harvard-pilgrim-health-care-institute
Massachusetts-league
Electronic-medical-record-support-for-public-health
Community-health-centers

© 2024 Vimarsana

vimarsana © 2020. All Rights Reserved.