Search results for "Risk Assessment"
SHEA issues guidance on contact precautions for hospital visitors
The Society for Healthcare Epidemiology of America (SHEA) recently released expert guidance on isolation precautions for hospital visitors.
https://acphospitalist.acponline.org/weekly/archives/2015/04/22/2.htm
22 Apr 2015
Wiping out falls
Systemic interventions help reduce patient risk.
https://acphospitalist.acponline.org/archives/2008/08/falls.htm
15 Aug 2008
Cases from the Medical College of Wisconsin
A group of cases focused on preoperative evaluation.
https://acphospitalist.acponline.org/archives/2019/11/brief-case-from-the-medical-college-of-wisconsin.htm
15 Nov 2019
Assess before anticoagulating
Three new evidence-based recommendations from ACP point out that VTE prophylaxis is not as simple as some might think.
https://acphospitalist.acponline.org/archives/2011/11/qa.htm
15 Nov 2011
Predicting sepsis and its trajectory
Biomarkers, automated systems, and rapid diagnostics.
https://acphospitalist.acponline.org/archives/2015/12/predicting-sepsis.htm
15 Dec 2015
Breaking the fall: Preventing fractures after discharge
Hospitalization is a risk factor for falls, but also an opportunity for prevention. Recent research suggests that hospitalization is a risk factor for post-discharge fracture in elderly patients, prompting some hospitalists to consider what measures they can take to reduce fracture risk before these patients leave the hospital.
https://acphospitalist.acponline.org/archives/2009/01/falls.htm
15 Jan 2009
Myopericarditis: A clinical review
A case study highlights diagnosis and treatment of pericarditis and myopericarditis.
https://acphospitalist.acponline.org/archives/2015/09/expert-analysis-myopericarditis.htm
15 Sep 2015
Journal watch: recent studies of note
Recent studies about warfarin use in elderly AF patients, ticagrelor vs. clopidogrel in ACS patients, and other topics.
https://acphospitalist.acponline.org/archives/2009/12/jw.htm
15 Dec 2009
Machine learning model uses SDOH to improve mortality prediction in heart failure
Inclusion of social determinants of health (SDOH) in a machine learning model led to more accurate prediction of inpatient mortality among Black patients hospitalized with heart failure than usual risk scoring.
https://acphospitalist.acponline.org/archives/2022/07/13/machine-learning-model-uses-sdoh-to-improve-mortality-prediction-in-heart-failure.htm
13 Jul 2022
Beyond the M&M
Hospitals review every death to flag problems, jump-start quality improvement.
https://acphospitalist.acponline.org/archives/2016/09/morbidity-mortality-conference.htm
15 Sep 2016