Measurement of clinical performance is largely driven by the requirements of the Centers for Medicare and Medicaid Services and accrediting bodies like The Joint Commission. Performance measures include length of stay, readmission rate, mortality rate, hospital-acquired complications, and stroke core measures. Hospital rankings also depend heavily on quality and patient safety indicators. Becoming facile with these measures can aid neurohospitalists in understanding their value and garnering resources to support improvement projects. Neurohospitalists can apply a structured A3-based method to define a clinical problem, perform systematic analysis, then design and test solutions to drive improved outcomes for patients with neurologic disease.
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| http://dx.doi.org/10.1016/j.ncl.2021.08.011 | DOI Listing |
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model.
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Bioengineering Laboratory, Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Background: Unplanned readmission, a measure of surgical quality, occurs after 4.8% of primary total knee arthroplasties (TKA). Although the prediction of individualized readmission risk may inform appropriate preoperative interventions, current predictive models, such as the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator (SRC), have limited utility.
View Article and Find Full Text PDFBackground: In 2018, a nationwide survey carried out in 387 acute care hospitals from 16 out of 21 Italian regions, allowed defining an extended checklist for the participatory evaluation of person-centredness in hospital care. We aimed to validate a reduced set of core items for continuous use across the country.
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View Article and Find Full Text PDFExploring the role of moxibustion robots in teaching: a cross-sectional study.
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Time-dependent, patient-centered perceptions of quality measures for total joint arthroplasty: a cross-sectional, choice modeling study.
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