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www.uspreventiveservicestaskforce.org/uspstf/sites/default/files/file/supporting_documents/osteoporosis-screening-final-rec-bulletin.pdf
January 14, 2025 - U.S. Preventive Services Task Force Issues Final Recommendation on Screening for Osteoporosis to Prevent Fractures
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www.uspreventiveservicestaskforce.org
U.S. Preventive Services Task Force Issues Final Recommendation on
Screening for Osteoporosis to Prevent Fractures
Screening for osteoporosis can help…
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Xiao Y, Hsu Y-J, Hannum SM, et al. Assessing patient work system factors for medication management during transition of care among ol…
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digital.ahrq.gov/principal-investigator/spyropoulos-alex
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Goldin M, Tsaftaridis N, Koulas I, Solomon J, Qiu M, Leung T, Smith K, Ochani K, McGinn T…
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psnet.ahrq.gov/issue/integrating-incident-data-five-reporting-systems-assess-patient-safety-making-sense-elephant
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Levtzion-Korach O, Frankel A, Alcalai H, et al. Integrating incident data from five reporting systems to assess patient saf…
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Burnett G, Goldberg A, DeMaria S, et al. Knowledge retention after simulated crisis: importance of independent practice and simulated mortality. Br J Anaesth. 2019…
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psnet.ahrq.gov/issue/assessing-patients-2019-experiences-medical-injury-reconciliation-processes-item-generation
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Assessing patients 2019 experiences with medical injury reconciliation processes: item generation for a novel survey questionnaire.
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Schulz-Moore JS, Bismark M, Jenkinson C, et al. Assessing patients 2019 experiences with medical injury reconciliation processes: item …
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psnet.ahrq.gov/issue/what-can-we-learn-depth-analysis-human-errors-resulting-diagnostic-errors-emergency
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What can we learn from in-depth analysis of human errors resulting in diagnostic errors in the emergency department: an analysis of serious adverse event reports.
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Baartmans MC, Hooftman J, Zwaan L, et al. What can we learn from in-depth analysis of human errors resul…
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psnet.ahrq.gov/issue/frailty-gaps-care-coordination-and-preventable-adverse-events
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Frailty, gaps in care coordination, and preventable adverse events.
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Akinyelure OP, Colvin CL, Sterling MR, et al. Frailty, gaps in care coordination, and preventable adverse events. BMC Geriatr. 2022;22(1):476. doi:10.1186/s12877-022-03164-7.
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psnet.ahrq.gov/issue/dimensions-safety-culture-systematic-review-quantitative-qualitative-and-mixed-methods
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Churruca K, Ellis LA, Pomare C, et al. Dimensions of safety culture: a systematic review of quantitative, qualitative and mixe…
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digital.ahrq.gov/principal-investigator/kent-k-craig
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Feasibility of an image-based mobile health protocol for postoperative wound monitoring.
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Gunter RL, Fernandes-Taylor S, Rahman S, et al. Feasibility of an image-based mobile health protocol for postoperative wound monitoring. J Am Coll Surg 2018 Mar;226(…
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Stepped-wedge cluster RCT to assess the effects of an electronic medication system on medication administration errors.
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Westbrook JI, Li L, Woods AL, et al. Stepped-wedge cluster RCT to assess the effects of an electronic medication system on medication administratio…
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psnet.ahrq.gov/issue/world-health-organization-field-trial-assessing-proposed-icd-11-framework-classifying-patient
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A World Health Organization field trial assessing a proposed ICD-11 framework for classifying patient safety events.
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Forster AJ, Bernard B, Drösler SE, et al. A World Health Organization field trial assessing a proposed ICD-11 framework for classifying patient safety…
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Implementing situation-background-assessment-recommendation in an anaesthetic clinic and subsequent information retention among receivers: a prospective interventional study of postoperative handovers.
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Randmaa M, Swenne CL, Mårtensson G, et al. Implementing situation…
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Using Health Care Failure Mode and Effect Analysis: the VA National Center for Patient Safety's prospective risk analysis system.
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DeRosier JM, Stalhandske E, Bagian JP, et al. Using health care Failure Mode and Effect Analysis: the V…
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Deriving ICD-10 codes for patient safety indicators for large-scale surveillance using administrative hospital data.
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Southern DA, Burnand B, Droesler SE, et al. Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hosp…
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digital.ahrq.gov/technology/imaging-system
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digital.ahrq.gov/technology/internet
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Cultural adaptations of psychological interventions for prevalent sleep disorders and sleep disturbances: A systematic review of randomized controlled trials in the United States.
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Alcántara C, Cosenzo LG, McCullough E, Vogt T, Falzon AL, Ibarra IP. Cultural a…
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The HL7-OMG Healthcare Services Specification Project: motivation, methodology, and deliverables for enabling a semantically interoperable service-oriented architecture for healthcare.
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Kawamoto K, Honey A, Rubin K. The HL7-OMG Healthcare Services Specif…
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psnet.ahrq.gov/issue/diagnostic-assessment-deep-learning-algorithms-detection-lymph-node-metastases-women-breast
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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.
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Bejnordi BE, Veta M, van Diest PJ, et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph …
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digital.ahrq.gov/principal-investigator/avidan-michael
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Exploring patient perspectives on telemedicine monitoring within the operating room.
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Abraham J, Meng A, Holzer KJ, Brawer L, Casarella A, Avidan M, Politi MC. Exploring patient perspectives on telemedicine monitoring within the operating room. Int J Me…