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Showing results for "infection".
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  1. digital.ahrq.gov/care-setting/academic-medical-center
    January 01, 2023 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  2. digital.ahrq.gov/medical-condition/renal-kidney-disease
    January 01, 2023 - Disease Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  3. digital.ahrq.gov/health-care-theme/patient-safety
    January 01, 2023 - Olufunmilola Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  4. digital.ahrq.gov/health-care-theme/clinical-decision-making
    January 01, 2023 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  5. digital.ahrq.gov/population/children
    January 01, 2025 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  6. digital.ahrq.gov/sites/default/files/docs/citation/r03hs027006-sun-final-report-2023.pdf
    January 01, 2023 - , falls, and pressure ulcer injury.11 For example, nurses play a critical role in infection … To account for the temporal relationship between nurse interactions and HAIs and the infection incubation … Hospital organisation, management, and structure for prevention of health-care-associated infection: … Nurse Staffing and Healthcare Associated Infection, Unit-level Analysis. … Hospital staffing and health care– associated infections: a systematic review of the literature.
  7. digital.ahrq.gov/type-care/acute-care
    January 01, 2023 - Olufunmilola Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  8. digital.ahrq.gov/health-care-theme/quality-improvement
    January 01, 2023 - Rotenstein, Lisa Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  9. digital.ahrq.gov/population/nurse-practitioner
    January 01, 2023 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  10. digital.ahrq.gov/population/physician-assistant
    January 01, 2023 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  11. digital.ahrq.gov/funding-mechanism/mentored-clinical-scientist-research-career-development-award-k08
    January 01, 2023 - ) Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  12. digital.ahrq.gov/population/caregiver
    January 01, 2025 - Olufunmilola Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  13. digital.ahrq.gov/technology/machine-learning
    January 01, 2025 - Chen, Jin Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  14. digital.ahrq.gov/technology/clinical-decision-support-system
    January 08, 2025 - Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children Description … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections
  15. digital.ahrq.gov/sites/default/files/docs/page/2006FriedmanSantinonFormica_052411comp.pdf
    June 16, 2021 - projects •Impact the outcomes of care for our patients (survival, length of stay, readmission, wound infection
  16. digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015135-arora-final-report-2008.pdf
    January 01, 2008 - Eradication of infection also reduces the reservoir for transmission to other patients. . … Hepatitis C infection is strongly associated with intravenous drug use and patients must be drug and … thrombocytopenia, a decrease in platelet count which needs active surveillance to prevent serious infections … There is no vaccine to prevent HCV infection, so prevention efforts must rely on behavioral techniques
  17. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017270-fricton-final-report-2011.pdf
    January 01, 2011 - Maintain adequate dietary and fluid intake and prevent postsurgical infection Daily oral hygiene and … visits every 6 months Monitor oral hygiene status • Reduce periodontal, caries and oral infection … Reduce periodontal, caries, oral infection risk Chronic 4-5% • Review history of concurrent heart … and visits every 6 months Improved oral hygiene self care • Reduce periodontal, caries and oral infection … These efforts are also important to reduce oral infections that can affect or lead to systemic infections
  18. digital.ahrq.gov/ahrq-funded-projects/randomized-controlled-trial-embedded-electronic-health-record/annual-summary/2012
    January 01, 2012 - Therefore the team sought to determine if people with HIV infection and mental health and/or substance
  19. digital.ahrq.gov/ahrq-funded-projects/using-electronic-medical-record-identify-and-screen-patients-risk-delirium
    January 01, 2023 - delirium including age, cognitive status, nutritional status, renal dysfunction, medication usage, and infection
  20. digital.ahrq.gov/population/physician
    January 01, 2025 - Rotenstein, Lisa Machine-Learning Prediction Model for Personalized Urinary Tract Infection … aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections

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