42 results on '"Pinevich, Yuliya"'
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2. Who needs clinician attention first? A qualitative study of critical care clinicians’ needs that enable the prioritization of care for populations of acutely ill patients
3. Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial
4. Evaluation of Digital Health Strategy to Support Clinician-Led Critically Ill Patient Population Management: A Randomized Crossover Study
5. Decision Support for Prolonged, and Tactical Combat Casualty Care
6. TCCC Decision Support With Machine Learning Prediction of Hemorrhage Risk, Shock Probability
7. Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review
8. Bedside Clinicians’ Perceptions on the Contributing Role of Diagnostic Errors in Acutely Ill Patient Presentation: A Survey of Academic and Community Practice
9. 1267: HEALTH INFORMATION TECHNOLOGY TO DETECT PATIENT DETERIORATION: SYSTEMATIC REVIEW AND META-ANALYSIS
10. Decision Support for Prolonged, and Tactical Combat Casualty Care
11. Diagnostic error among vulnerable populations presenting to the emergency department with cardiovascular and cerebrovascular or neurological symptoms: a systematic review.
12. Time to diagnostic certainty for saddle pulmonary embolism in hospitalized patients
13. 1036: DIGITAL HEALTH STRATEGIES TO SUPPORT CLINICIAN ICU POPULATION MANAGEMENT: A CROSSOVER STUDY
14. 1032: CRITICAL CARE CLINICIAN NEEDS FOR PRIORITIZATION OF CARE IN INTENSIVE CARE UNIT: A QUALITATIVE STUDY
15. The authors reply
16. Information and Data Visualization Needs among Direct Care Nurses in the Intensive Care Unit
17. Diagnostic delay in pulmonary blastomycosis: a case series reflecting a referral center experience
18. The Impact of Health Information Technology for Early Detection of Patient Deterioration on Mortality and Length of Stay in the Hospital Acute Care Setting: Systematic Review and Meta-Analysis*
19. sj-docx-4-his-10.1177_11786329221123540 – Supplemental material for Contributors to Diagnostic Error or Delay in the Acute Care Setting: A Survey of Clinical Stakeholders
20. sj-docx-1-his-10.1177_11786329221123540 – Supplemental material for Contributors to Diagnostic Error or Delay in the Acute Care Setting: A Survey of Clinical Stakeholders
21. sj-docx-2-his-10.1177_11786329221123540 – Supplemental material for Contributors to Diagnostic Error or Delay in the Acute Care Setting: A Survey of Clinical Stakeholders
22. sj-docx-3-his-10.1177_11786329221123540 – Supplemental material for Contributors to Diagnostic Error or Delay in the Acute Care Setting: A Survey of Clinical Stakeholders
23. Real Time Battlefield Casualty Care Decision Support
24. Contributors to Diagnostic Error or Delay in the Acute Care Setting: A Survey of Clinical Stakeholders
25. 1267: HEALTH INFORMATION TECHNOLOGY TO DETECT PATIENT DETERIORATION: SYSTEMATIC REVIEW AND META-ANALYSIS
26. Interaction Time with Electronic Health Records: A Systematic Review
27. Validation of a Machine Learning Model for Early Shock Detection
28. Bedside Clinicians’ Perceptions on the Contributing Role of Diagnostic Errors in Acutely Ill Patient Presentation
29. What Contributes to Diagnostic Error or Delay? A Qualitative Exploration Across Diverse Acute Care Settings in the United States
30. Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock
31. Clinical Characteristics, Treatment, and Outcomes of Critically Ill Patients With COVID-19: A Scoping Review
32. 1108: Secondary Analysis of Diagnostic Error Rate in Patients Requiring Rapid Response Team Activation
33. Training and Decision Support for Battlefield Trauma Care
34. Validation of a Machine Learning Model for Early Shock Detection.
35. Artificial intelligence and computer simulation models in critical illness
36. Feasibility and Reliability Testing of Manual Electronic Health Record Reviews as a Tool for Timely Identification of Diagnostic Error in Patients at Risk
37. 625: PULMONARY TUBERCULOSIS PRESENTING AS MASSIVE HEMOPTYSIS
38. 1364: USING AN ACUTE CARE LEARNING LAB TO TEST RELIABILITY OF A SEARCH STRATEGY FOR DIAGNOSTIC ERROR/DELAY
39. 1729: DEVELOPMENT OF A MACHINE LEARNING MODEL FOR EARLY SHOCK DETECTION
40. Trauma Care Decision Support Under Fire
41. 1032: CRITICAL CARE CLINICIAN NEEDS FOR PRIORITIZATION OF CARE IN INTENSIVE CARE UNIT: A QUALITATIVE STUDY.
42. 1036: DIGITAL HEALTH STRATEGIES TO SUPPORT CLINICIAN ICU POPULATION MANAGEMENT: A CROSSOVER STUDY.
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