AHRQ Search | Home Page

Feasibility/Pilot Study | Digital Healthcare Research

digital.ahrq.gov/research-method/feasibilitypilot-study

January 01, 2024 - Feasibility/Pilot Study The Telehealth Education for Asthma Connecting Hospital and Home (TEACHH) pilot study. Citation Frey SM, Sanchez I, Fagnano M, Milne Wenderlich A, Mammen JR, Halterman JS. The Telehealth Education for Asthma Connecting Hospital and Home (TEACHH) pilot s…

Mobile Phone | Digital Healthcare Research

digital.ahrq.gov/technology/mobile-phone-0

January 01, 2024 - Mobile Phone Patient-facing clinical decision support for high blood pressure control: Patient survey. Citation Dorr D, D'Autremont C, Richardson JE, Bobo M, Terndrup C, Dunne MJ, Cheng A, Rope R. Patient-facing clinical decision support for high blood pressure control: Patien…

Empower NICU - A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE) | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/empower-nicu-bridge-resources-adjusting-and-coping-emotions-embrace

September 01, 2023 - Empower NICU - A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE) Project Description Research Story The use of a mobile health application to universally screen and monitor parents of infants in the neonatal intensive care unit for psychological sympt…

Pregnancy | Digital Healthcare Research

digital.ahrq.gov/medical-condition/pregnancy

January 01, 2023 - Pregnancy An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) Description This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk for pos…

Value of Technology to Transfer Discharge Information | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/value-technology-transfer-discharge-information

January 01, 2023 - Value of Technology to Transfer Discharge Information Project Final Report ( PDF , 83.71 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the views of AHRQ. …

An Etiology for Medication Ordering Errors in Computerized Provider Order Entry Systems | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/etiology-medication-ordering-errors-computerized-provider-order-entry-systems

January 01, 2023 - An Etiology for Medication Ordering Errors in Computerized Provider Order Entry Systems Project Final Report ( PDF , 1.27 MB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necess…

Evaluation of AHRQ's on-time pressure ulcer prevention program: a facilitator-assisted clinical decision support intervention for nursing homes. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/evaluation-ahrqs-time-pressure-ulcer-program/citation/evaluation-ahrqs-time

January 01, 2023 - Evaluation of AHRQ's on-time pressure ulcer prevention program: a facilitator-assisted clinical decision support intervention for nursing homes. Citation Olsho LE, Spector WD, Williams CS, et al. Evaluation of AHRQ's on-time pressure ulcer prevention program: a facilitator-assisted clinical decision s…

Counseling about medication-induced birth defects with clinical decision support in primary care. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-prevent-medication-induced-birth/citation/counseling-medication-induced-birth-defects-cds

January 01, 2023 - Counseling about medication-induced birth defects with clinical decision support in primary care. Citation Schwarz EB, Parisi SM, Handler SM, et al. Counseling about medication-induced birth defects with clinical decision support in primary care. J Womens Health (Larchmt) 2013 Oct;22(10):817-24. …

Standards for scalable clinical decision support: need, current and emerging standards, gaps, and proposal for progress | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/context-aware-knowledge-delivery-electronic-health-records/citation/standards

January 01, 2023 - Standards for scalable clinical decision support: need, current and emerging standards, gaps, and proposal for progress Citation Kawamoto K, Del Fiol G, Lobach DF, et al. Standards for scalable clinical decision support: need, current and emerging standards, gaps, and proposal for progress. Open Med I…

VisualDecisionLinc: a visual analytics approach for comparative effectiveness-based clinical decision support in psychiatry. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/visualdecisionlinc-real-time-decision-support-behavioral-health/citation-0

January 01, 2023 - VisualDecisionLinc: a visual analytics approach for comparative effectiveness-based clinical decision support in psychiatry. Citation Mane K, Bizon C, Schmitt C, et al. VisualDecisionLinc: a visual analytics approach for comparative effectiveness-based clinical decision support in psychiatry. J Biom…

Towards meaningful medication-related clinical decision support: recommendations for an initial implementation. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/health-information-technology-and-improving-medication-use/citation/towards

January 01, 2023 - Towards meaningful medication-related clinical decision support: recommendations for an initial implementation. Citation Phansalkar S, Wright A, Kuperman GJ, et al. Towards meaningful medication-related clinical decision support: recommendations for an initial implementation. Appl Clin Inf 2011;2(1):5…

Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clinical notes. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/improving-outpatient-medication-lists-using-temporal-reasoning-and-clinical-2

January 01, 2023 - Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clinical notes. Citation Zhou L, Plasek JM, Mahoney LM, et al. Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clini…

Accuracy of electronically reported "meaningful use" clinical quality measures: a cross-sectional study. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/developing-and-using-valid-clinical-quality-metrics-health-information/citation/mu

January 01, 2023 - Accuracy of electronically reported "meaningful use" clinical quality measures: a cross-sectional study. Citation Kern LM, Malhotra S, Barrón Y, et al. Accuracy of electronically reported "meaningful use" clinical quality measures: a cross-sectional study. Ann Intern Med 2013 Jan 15;158(2):77-83. …

Patient-Generated Health Data I Patient-Reported Outcomes | Digital Healthcare Research

digital.ahrq.gov/health-it-tools-and-resources/patient-generated-health-data-patient-reported-outcomes

January 01, 2023 - Patient-Generated Health Data I Patient-Reported Outcomes Guide to Integrate Patient-Generated Digital Health Data into Electronic Health Records in Ambulatory Care Settings To promote the collection, integration, and use of PGHD in clinical care, the Agency for Healthcare Research and Qua…

Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/use

January 01, 2023 - Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. Citation Carroll AE, Bauer NS, Dugan TM, et al. Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. JAMA Pediatr 2014 Sep;168(9):815-…

Overriding drug-drug interaction alerts in clinical decision support systems: A scoping review. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/meaningful-drug-interaction-alerts/citation/overriding

January 01, 2023 - Overriding drug-drug interaction alerts in clinical decision support systems: A scoping review. Citation Villa Zapata L, Subbian V, Boyce RD, Hansten PD, Horn JR, Gephart SM, Romero A, Malone DC. Overriding drug-drug interaction alerts in clinical decision support systems: A scoping review. Stud Healt…

Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/health-information-technology-center-education-and-research-therapeutics-15

January 01, 2023 - Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions. Citation Horsky J, Schiff GD, Johnston D, et al. Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing in…

Accelerating Change and Transformation in Organizations and Networks (ACTION) IV | Digital Healthcare Research

digital.ahrq.gov/funding-mechanism/accelerating-change-and-transformation-organizations-and-networks-action-iv

January 01, 2023 - Accelerating Change and Transformation in Organizations and Networks (ACTION) IV Clinical Decision Support Innovation Collaborative (CDSiC) Description This research continues to build the Clinical Decision Support Innovation Collaborative (CDSiC) to advance the field of pat…

A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries. | Digital Healthcare Research

digital.ahrq.gov/ahrq-funded-projects/showing-health-information-value-community-network/citation/randomized

January 01, 2023 - A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries. Citation Lobach DF, Kawamoto K, Anstrom KJ, et al. A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiari…

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 - It’s Not Just for Sci-Fi: Using Artificial Intelligence to Identify Kidney Disease Successful development and implementation of an artificial intelligence-driven clinical decision support system for detection and treatment of acute kidney injury in the emergency department may improve the quality of kidney care an…

Search AHRQ

Results