Results

Total Results: 72 records

Showing results for "sepsis".

21. Hospital | Digital Healthcare Research
    digital.ahrq.gov/care-setting/hospital
    January 01, 2023 - Principal Investigator(s) McCulloch, Michael Porter, Michael Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

22. Patient Safety | Digital Healthcare Research
    digital.ahrq.gov/health-care-theme/patient-safety
    January 01, 2023 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

23. Clinical Decision Making | Digital Healthcare Research
    digital.ahrq.gov/health-care-theme/clinical-decision-making
    January 01, 2023 - Principal Investigator(s) McCulloch, Michael Porter, Michael Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

24. Artificial Intelligence | Digital Healthcare Research
    digital.ahrq.gov/technology/artificial-intelligence
    January 01, 2025 - Principal Investigator(s) McCulloch, Michael Porter, Michael Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

25. Acute Care | Digital Healthcare Research
    digital.ahrq.gov/type-care/acute-care
    January 01, 2023 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

26. Quality Improvement | Digital Healthcare Research
    digital.ahrq.gov/health-care-theme/quality-improvement
    January 01, 2023 - Principal Investigator(s) McCulloch, Michael Porter, Michael Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

27. Mentored Clinical Scientist Research Career Development Award (K08) | Digital Healthcare Research
    digital.ahrq.gov/funding-mechanism/mentored-clinical-scientist-research-career-development-award-k08
    January 01, 2023 - HS029526 Principal Investigator(s) Wang, Hsin-Hsiao Scott Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

28. Machine Learning | Digital Healthcare Research
    digital.ahrq.gov/technology/machine-learning
    January 01, 2025 - Principal Investigator(s) McCulloch, Michael Porter, Michael Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

29. Adults | Digital Healthcare Research
    digital.ahrq.gov/population/adults
    January 01, 2025 - HS030158 Principal Investigator(s) McLaughlin, Kevin Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

30. Clinical Decision Support System | Digital Healthcare Research
    digital.ahrq.gov/technology/clinical-decision-support-system
    January 08, 2025 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

31. Infectious Disease | Digital Healthcare Research
    digital.ahrq.gov/medical-condition/infectious-disease
    January 01, 2023 - HS029526 Principal Investigator(s) Wang, Hsin-Hsiao Scott Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

32. Physician | Digital Healthcare Research
    digital.ahrq.gov/population/physician
    January 01, 2025 - Principal Investigator(s) McCulloch, Michael Porter, Michael Identifying Sepsis … and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis

33. Dissemination and Implementation of QT Risk Clinical Decision Support - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r18hs026662-malone-final-report-2022.pdf
    January 01, 2022 - Chi-square test for categorical variables (death, risk factors: medications with known risk of TdP, HF, sepsis … However, the pre-implementation cohort had a higher frequency of sepsis, acute myocardial infarction … In addition, among all risk factors, only sepsis and age > 67 years were significantly associated with … TdP 0.99 (0.80-1.22) ≥ 2 medications with known risk of TdP 0.87 (0.62-1.22) HF 0.94 (0.75-1.19) Sepsis … A subgroup analysis of patients who had sepsis also showed that implementation of QTc-RS advisory was

34. Zhang, Jiajie | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/zhang-jiajie
    January 01, 2023 - and found that order set usage reduced order variation and improved patient outcomes in patients with sepsis

35. Parisetal Hfes2008 (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/Parisetal_HFES2008.pdf
    January 01, 2008 - delays in the initiation of antibiotic therapy in patients with conditions such as meningitis and sepsis … As a result, the guidelines for management of sepsis state that antibiotics should be administered … Surviving Sepsis Campaign: International guidelines for management of severe sepsis and septic shock

36. Weill Medical College of Cornell University | Digital Healthcare Research
    digital.ahrq.gov/organization/weill-medical-college-cornell-university
    January 01, 2023 - and found that order set usage reduced order variation and improved patient outcomes in patients with sepsis

37. Sociotechnical Aspects | Digital Healthcare Research
    digital.ahrq.gov/health-care-theme/sociotechnical-aspects
    January 01, 2023 - Utilization Description This research study addressed the overuse of blood cultures to diagnose sepsis

38. Industrial and Systems Engineering and Health Care: Critical Areas of Research Workshop - Finance and Quantitative Decision Making (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/Finance%20and%20Quantitative%20Decision%20Making.pdf
    September 21, 2009 - Decision Making  Liver and Kidney transplant allocation  Cancer screening policies  HIV treatment  Sepsis

39. Xie, Anping | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/xie-anping
    October 19, 2021 - Utilization Description This research study addressed the overuse of blood cultures to diagnose sepsis

40. Tertiary Care | Digital Healthcare Research
    digital.ahrq.gov/type-care/tertiary-care
    January 01, 2023 - and found that order set usage reduced order variation and improved patient outcomes in patients with sepsis