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Showing results for "develop".

1. Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication Safety - Final Report | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/develop-and-validate-health-it-safety-measures-capture-violations-five-rights/final-report
   January 01, 2023 - Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication … Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication … Principal Investigator Adelman, Jason Stuart Project Name Develop and Validate Health

2. Using priorities of hospitalized patients and their caregivers to develop personas. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/patients-safeguards-understanding-information-needs-hospitalized-patients/citation/using
   January 01, 2023 - Using priorities of hospitalized patients and their caregivers to develop personas. … Using priorities of hospitalized patients and their caregivers to develop personas.

3. Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/machine
   January 01, 2023 - Using machine learning techniques to develop forecasting algorithms for postoperative complications: … Using machine learning techniques to develop forecasting algorithms for postoperative complications:

4. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/use
   January 01, 2023 - Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Use of machine learning to develop and evaluate models using preoperative and intraoperative data to

5. Leveraging the Consolidated Framework for Implementation Research to develop the American College of Rheumatology's Toolkit for implementation of rheumatoid arthritis outcome measures in clinical practice: A qualitative study. | Digital Healthcare Research
   digital.ahrq.gov/rheumatology-informatics-system-effectiveness-patient-reported-outcome-rise-pro/citation/leveraging
   January 01, 2024 - Leveraging the Consolidated Framework for Implementation Research to develop the American College of … Leveraging the Consolidated Framework for Implementation Research to develop the American College of

6. Using the technology acceptance model to develop StartSmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/startsmarttm-health-information-technology-improve-adherence-prenatal/citation/using
   January 01, 2023 - Using the technology acceptance model to develop StartSmart: mHealth for screening, brief intervention … Using the technology acceptance model to develop StartSmart: mHealth for screening, brief intervention

7. Clinical Decision Support Authoring Tool | Digital Healthcare Research
   digital.ahrq.gov/national-webinars/clinical-decision-support-authoring-tool
   January 01, 2023 - webinar to provide training on AHRQ’s Clinical Decision Support (CDS) Authoring Tool, which can help develop … Learning Objectives: At the conclusion of this webinar, participants should be able to: Develop logic … Discuss how to develop “base elements” that can be re-used across logic statements, along with features … that enable users to develop subpopulations and how to handle errors. 

8. Telehealth Post-Pandemic: A Roadmap for the Coming Decade | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/telehealth-post-pandemic-roadmap-coming-decade
   June 29, 2025 - The group will develop recommendations for priorities and policies for health systems, insurers, and … The specific aims of the research are as follows: Develop practice, policy, and research priorities to … Prior to the Think Tank conference, the research team will develop a website; identify key topics via … During the meeting, attendees will develop research and policy agendas and consider dissemination strategies

9. Improving Health Data Quality by Assessing and Enhancing Semantic Integrity | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/improving-health-data-quality-assessing-and-enhancing-semantic-integrity
   January 01, 2023 - This research will develop novel data-driven methods to analyze the temporal pattern and context of EHR … The specific aims of the research are as follows: Develop a data-driven approach to assess RS integrity … Develop a data-driven approach to improve RS integrity in longitudinal EHR data. … To detect discrepancies in codes in EHR records (“aberrant signals”), the researchers will develop statistical

10. Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/transforming-kidney-care-emergency-department-using-artificial-intelligence
    January 01, 2023 - kidney care and generate best-practice methods to advance the application of artificial intelligence and develop … Using AKI as a reference case, a Johns Hopkins University research team will develop an AI-driven algorithm … Building on previously developed AKI surveillance and prediction tools, the research team will develop … In doing so, the team will develop methods that increase reliability of AI-driven predictions and promote … and generate best practice methods to advance the application of artificial intelligence as well as develop

11. Oklahoma | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/past-initiatives/privacy-and-security-project/oklahoma
    January 01, 2023 - Oklahoma Team Description The health care field is working to develop a … These groups are working to develop standards for health information technology and policy. … The partners will develop ways in which the information can be protected, yet be able to be shared among … Identify and propose practical solutions that protect privacy and security while still allowing HIE Develop … State Solutions Working Group (SSWG) - this group will review the SVWG-identified barriers and develop

12. Improving Identification And Coordination Of Mobility Interventions In The ICU Using Clinical Decision Support | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-identification-and-coordination-mobility-interventions-icu-using
    April 01, 2024 - more than 5 million adults are admitted to ICUs in the United States, and an alarming 50 percent will develop … To address these challenges, this study will develop and evaluate ASSIST-ICU, a digital CDSS for consistent … The specific aims of the research are as follows: Develop a useable, useful, and acceptable ASSIST-ICU … In Phase 1, researchers will develop a CDSS prototype using a user-centered design approach with ICU

13. Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication Safety | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/develop-and-validate-health-it-safety-measures-capture-violations-five-rights
    January 01, 2023 - Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication … The specific aims of the research were as follows:  Develop and pilot effective and valid measures … × Disclaimer Disclaimer details Close Develop and … Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication … Project Name: Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights

14. It’s Not Just for Sci-Fi: Using Artificial Intelligence to Identify Kidney Disease | Digital Healthcare Research
    digital.ahrq.gov/2020-year-review/research-summary/it-is-not-just-sci-fi-using-artificial-intelligence-identify-kidney-disease
    January 01, 2020 - and generate best practice methods to advance the application of artificial intelligence as well as develop … response to that signal, we don't have a way to know as emergency physicians that this person's going to develop … over time, to identify patients who are at really high risk, based on other patients in the past, and develop

15. A Decision Support Tool for the Discontinuation of Disease Modifying Therapies in Multiple Sclerosis | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/decision-support-tool-discontinuation-disease-modifying-therapies-multiple
    August 01, 2023 - This research will develop, validate, and evaluate a point-of-care decision support tool using a machine … The specific aims of the research are as follows: Develop and validate a point-of-care clinical decision … The researchers will develop the ML algorithm using retrospective data from the Cleveland Clinic’s Mellen

16. Guiding the Safe and Effective Integration of Ambient Digital Scribes into Primary Care | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/guiding-safe-and-effective-integration-ambient-digital-scribes-primary-care
    September 30, 2024 - Researchers will study ADS implementation, identify barriers and facilitators, and develop evidence-based … Develop a prototype guide for the safe and effective integration of ADSs into primary care. … Using a systematic approach, the team will develop a prototype guide with evidence-based insights for

17. Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/complexity-incidence-and-costs-related-delayed-diagnosis-venous
    September 01, 2024 - the detection of missed and delayed VTE diagnoses, identify factors contributing to these errors, and develop … Identify VTE diagnostic error-associated risk factors and develop recommendations to improve timely diagnosis … They will develop prediction models using ML to estimate the extra costs associated with these diagnostic

18. 5W2H | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/5w2h
    January 01, 2023 - DEVELOP APPROPRIATE QUESTIONS ABOUT THE SITUATION for each question word (who, what, when, where, why … ANSWER EACH QUESTION and develop a plan for answering questions that do not immediately have a known … If you are analyzing a process for improvement opportunities, develop additional questions about potential … If you are reviewing a completed project, develop additional questions about modifying, expanding, or

19. Adelman, Jason Stuart | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/adelman-jason-stuart
    July 24, 2024 - Accelerate the Adoption of Patient Photographs in Electronic Health Records Develop … Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication … Principal Investigator Adelman, Jason Stuart Project Name Develop and Validate Health … Principal Investigator Adelman, Jason Stuart Project Name Develop and Validate Health … Project Name Assess Risk of Wrong-Patient Errors in an EMR That Allows Multiple Records Open Develop

20. An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ai-directed-cds-tool-reduce-iron-deficiency-anemia-pregnancy-randomized
    August 01, 2024 - This research aims to develop and test a CDS tool to enhance anemia screening and management, particularly … The specific aims of the research are as follows: Develop and validate a PPH prediction model using structured … Researchers will develop a machine learning-based predictive model using structured data from the end