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Total Results: 219 records

Showing results for "patient contextual".

1. Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory Care | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/integrating-contextual-factors-clinical-decision-support-reduce-contextual
   January 01, 2023 - Contextual errors occur when a care plan is inappropriate because of inattention to patient context. … When a clinician more easily recognizes clues—“contextual red flags”—that represent challenges a patient … A CDS intervention was developed represented by a contextual care box containing information from a patient … questionnaire designed to capture contextual factors, as well as relevant information about the patient … , but there was an increase in asking patients questions about their circumstances, “contextual probing

2. Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory Care - Final Report | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/integrating-contextual-factors-clinical-decision-support-reduce-contextual/final-report
   January 01, 2023 - Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error and Improve … Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error and Improve … Principal Investigator Weiner, Saul Project Name Integrating Contextual Factors into … Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory Care … Electronic Medical Record Document Type Report Population Clinical Staff/Clinician Patient

3. Contextualizing care: An essential and measurable clinical competency. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/integrating-contextual-factors-clinical-decision-support-reduce-contextual/citation/contextualizing
   January 01, 2023 - Patient Educ Couns. 2022 Mar;105(3):594-598. doi: 10.1016/j.pec.2021.06.016. Epub 2021 Jun 15. … pubmed.ncbi.nlm.nih.gov/34158194/ Principal Investigator Weiner, Saul Project Name Integrating Contextual … Factors into Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory

4. Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error, Improve Outcomes, and Reduce Misuse, Overuse, and Underuse of Outpatient Primary Care - Final Report (pdf file)
   digital.ahrq.gov/sites/default/files/docs/citation/r01hs025374-weiner-final-report-2022.pdf
   January 01, 2022 - patient is already unable to follow (a contextual error). … Table 2 presents patient characteristics by study group; patients did not differ between groups in site … red flags and contextual factors in both trial groups, including contextual factors disclosed by patients … Conclusions: Information about patients’ life circumstances and behaviors, i.e., patient life context … for contextual issues in simulated patients.

5. Weiner, Saul | Digital Healthcare Research
   digital.ahrq.gov/principal-investigator/weiner-saul
   January 01, 2023 - Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error … Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error and Improve … Patient Educ Couns. 2022 Mar;105(3):594-598. doi: 10.1016/j.pec.2021.06.016. Epub 2021 Jun 15. … Integrating Contextual Factors into Clinical Decision Support to Reduce Contextual Error … errors, improve patient healthcare outcomes, and reduce misuse and overuse of medical services.

6. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/citation/mining
   January 01, 2023 - Mining patient-specific and contextual data with machine learning technologies to predict cancellation … Mining patient-specific and contextual data with machine learning technologies to predict cancellation

7. Patient-Centered Data Visualizations for Diabetes - Final Report (pdf file)
   digital.ahrq.gov/sites/default/files/docs/citation/r21hs023865-lee-final-report-2018.pdf
   January 01, 2018 - data when the patient is not in clinic, unless the patient reached out, specifically asking them to … A trusting relationship between the patient and provider is also crucial and it’s important that patients … It was also acknowledged that collecting contextual information is time consuming for the patient, and … This can cause confusion for individual patients; if a patient uses a Dexcom CGM sensor and a Tandem … Both providers and patients desired stressed the important of having contextual information to relate

8. Patient-Centered Data Visualizations for Diabetes | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/patient-centered-data-visualizations-diabetes
   January 01, 2023 - visualization prototype for adolescents and their parents to view their diabetes data in conjunction with contextual … visualization and interactive techniques for viewing longitudinal data that may have the potential to enhance patients … Have adolescents with type 1 diabetes collect diabetes data and contextual variables using mobile technology … high and low blood glucose values were generated using the prototype visualizations that incorporated contextual … The project team concluded that personalizing contextual diabetes data is an important feature of any

9. A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol and rationale for a randomized controlled trial (LowSalt4Life trial). | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/geofencing-based-adaptive-messaging-system-support-patient-self-management-low/citation/novel
   January 01, 2023 - A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol … A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol … Dorsch, Michael Project Name A Geofencing-Based Adaptive Messaging System to Support Patient

10. Open & Act: Tracking Healthcare Team Response to EHR Asynchronous Alerts - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs023661-cutrona-final-report-2017.pdf
    January 01, 2017 - Identify contextual factors, types of alerts and characteristics of providers, patients and hospital … Identify contextual factors, types of alerts and characteristics of providers, patients and hospital … Identify contextual factors, types of alerts and characteristics of providers, patients and hospital … Identify contextual factors, types of alerts and characteristics of providers, patients and hospital … Patient and Primary Care Provider (PCP) characteristics Characteristics of Participating Patients N

11. USA, IL, Chicago | Digital Healthcare Research
    digital.ahrq.gov/location/usa-il-chicago
    January 01, 2023 - Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients … machine learning classifier to identify risk for HIV acquisition or transmission among hospitalized patients … Principal Investigator(s) Garcia, Sofia Penedo, Frank Integrating Contextual … Factors into Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory … Care Description This research studied whether clinical decision support could reduce contextual

12. Care Planning | Digital Healthcare Research
    digital.ahrq.gov/health-care-theme/care-planning
    January 01, 2023 - Number R21 HS026075 Principal Investigator(s) Zhu, Xi Integrating Contextual … Factors into Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory … Care Description This research studied whether clinical decision support could reduce contextual … a set of recommendations for patients and providers. … Patients as Safeguards: Understanding the Information Needs of Hospitalized Patients Description

13. University of Illinois at Chicago | Digital Healthcare Research
    digital.ahrq.gov/organization/university-illinois-chicago
    January 01, 2023 - University of Illinois at Chicago Integrating Contextual Factors into … Clinical Decision Support to Reduce Contextual Error and Improve Outcomes in Ambulatory Care … Description This research studied whether clinical decision support could reduce contextual errors … , improve patient healthcare outcomes, and reduce misuse and overuse of medical services. … technology to usual care for benefits outcomes, adverse events, effectiveness, costs, and satisfaction among patients

14. Pratap, Jayant | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/pratap-jayant
    January 01, 2023 - Pratap, Jayant Mining patient-specific and contextual data with machine … Mining patient-specific and contextual data with machine learning technologies to predict cancellation … research applied machine learning to develop a model predicting surgical cancellations among pediatric patients

15. Individualized Drug Interaction Alerts | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/individualized-drug-interaction-alerts
    January 01, 2023 - Current CDS relies on simple drug combination rules and ignores drug attributes and patient-specific … and contextual alerting.  … Conduct a validation of clinical algorithms using simulated and actual patient data.  … overridden DDI warnings from a large tertiary care medical center and studied the drug combinations where contextual … implementing the algorithms would lead to a substantial reduction in the number of warnings without placing patients

16. Contextualizing numeric clinical test results for gist comprehension: Implications for EHR patient portals. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/collaborative-patient-portals-computer-based-agents-and-patients-understanding/citation/contextualizing
    January 01, 2023 - Contextualizing numeric clinical test results for gist comprehension: Implications for EHR patient portals … Contextualizing numeric clinical test results for gist comprehension: Implications for EHR patient portals … pubmed/30688498 Principal Investigator Morrow, Daniel Project Name Collaborative Patient … Portals: Computer-based Agents and Patients' Understanding of Numeric Health Information Technology … Patient Portal Document Type Journal Publication Population Adults Elderly

17. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute
    January 01, 2023 - The model implemented patient-specific and contextual data from two pediatric surgical sites at Cincinnati … Medical Center (CCHMC) to observe key predictors affecting last-minute surgery cancellations among young patients … integrated the predictive models into the CCHMC EHR system as a quality-improvement measure to identify patients … and contextual data with machine learning technologies to predict cancellation of children's surgery … Mining patient-specific and contextual data with machine learning technologies to predict cancellation

18. Geographic Information System | Digital Healthcare Research
    digital.ahrq.gov/technology/geographic-information-system
    January 01, 2023 - Information System A Geofencing-Based Adaptive Messaging System to Support Patient … A Geofencing-Based Adaptive Messaging System to Support Patient Self-Management of a Low-Sodium Diet … Dorsch, Michael Project Name A Geofencing-Based Adaptive Messaging System to Support Patient … Self-Management of a Low-Sodium Diet in Hypertension A novel just-in-time contextual … A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol

19. Dorsch, Michael | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/dorsch-michael
    January 01, 2023 - Web Application on Medication Optimization in HFrEF Patients The Impact of an … Adaptive Patient-Centered Web Application on Medication Optimization in HFrEF Patients Description … A Geofencing-Based Adaptive Messaging System to Support Patient Self-Management of a Low-Sodium Diet … Self-Management of a Low-Sodium Diet in Hypertension A novel just-in-time contextual … A novel just-in-time contextual mobile app intervention to reduce sodium intake in hypertension: protocol

20. Implementation of DDInteract: A Shared Decision Making Tool for Anticoagulant Drug-Drug Interactions | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/implementation-ddinteract-shared-decision-making-tool-anticoagulant-drug-drug
    August 15, 2023 - Safety Shared Decision Making Patients receiving anticoagulant medications often have … can provide warnings about potential DDIs; however, these systems are often text-based and do not use contextual … DDInteract includes a visual display of risk, a patient-specific risk profile, patient education information … The specific aims of the research are as follows: Examine contextual factors and define relevant implementation … during the visit, through the patient portal, or after a visit, allowing patients to reconsider risks