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Total Results: 1,149 records

Showing results for "drugs".

301. Impact of health information technology on detection of potential adverse drug events at the ordering stage. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/rural-iowa-redesign-care-delivery-ehr-functions/citation/impact-health
     January 01, 2023 - Impact of health information technology on detection of potential adverse drug events at the ordering stage. Citation Roberts LL, Ward MM, Brokel JM, et al. Impact of health information technology on detection of potential adverse drug events at the ordering stage. Am J Health Syst Pharm 2010 Nov 1;6…

302. Screening for adverse drug events: a randomized trial of automated calls coupled with phone-based pharmacist counseling. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-center-education-and-research-therapeutics/citation/screening
     January 01, 2023 - Screening for adverse drug events: a randomized trial of automated calls coupled with phone-based pharmacist counseling. Citation Schiff GD, Klinger E, Salazar A, et al. Screening for adverse drug events: a randomized trial of automated calls coupled with phone-based pharmacist counseling. J Gen Inter…

303. The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-nursing-home/citation/effect-computerized
     January 01, 2023 - The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review. Citation Wolfstadt JI, Gurwitz JH, Field TS, et al. The effect of computerized physician order entry with clinical decision support on the rates of adverse drug eve…

304. Clinical application of a computerized system for physician order entry with clinical decision support to prevent adverse drug events in long-term care. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-nursing-home/citation/clinical-application
     January 01, 2023 - Clinical application of a computerized system for physician order entry with clinical decision support to prevent adverse drug events in long-term care. Citation Rochon PA, Field TS, Bates DW, et al. Clinical application of a computerized system for physician order entry with clinical decision support…

305. A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/primary-care
     January 01, 2023 - A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial. Citation Przytula K, Bailey SC, Galanter WL, et al. A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized cont…

306. Understanding the patient experience of drug reaction with eosinophilia and systemic symptoms: A qualitative study. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/understanding
     January 01, 2024 - Understanding the patient experience of drug reaction with eosinophilia and systemic symptoms: A qualitative study. Citation Samarakoon U, Wolfson AR, Zhou L, Bassir F, Phillips E, Kroshinsky D, Cucka B, Biglione B, Phadke NA, Jaggers J, Byrne EC, Judd AD, Blumenthal KG. Understanding the patient expe…

307. University of Georgia | Digital Healthcare Research
     digital.ahrq.gov/organization/university-georgia
     January 01, 2023 - University of Georgia Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction Description This research will develop and validate machine learning enhanced predictive models improving the allocation of critical care pharmac…

308. USA, GA, Athens | Digital Healthcare Research
     digital.ahrq.gov/location/usa-ga-athens
     January 01, 2023 - USA, GA, Athens Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction Description This research will develop and validate machine learning enhanced predictive models improving the allocation of critical care pharmacists t…

309. Health Information Technology and Improving Medication Use - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/u18hs016970-bates-final-report-2012.pdf
     January 01, 2012 - Patient Reports of Side Effects with Electronic Health Records for Surveillance of Recently Approved Drugs … Target medications were selected based on date of FDA approval, as drugs are more likely to have unrecognized … During the study period, two of the target drugs received particular attention in the lay press for … Continuation Format Page agents (40.3%), nervous system agents (13.9%), respiratory system drugs … Patient Reports of Side Effects with Electronic Health Records for Surveillance of Recently Approved Drugs

310. Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-nursing-home/citation/effect-computerized-0
     January 01, 2023 - Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting. Citation Gurwitz JH, Field TS, Rochon P, et al. Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setti…

311. Understanding the patient experience of drug reaction with eosinophilia and systemic symptoms: A qualitative study. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-allergy-documentation-and-clinical-decision-support-electronic-health/citation/understanding
     January 01, 2024 - Understanding the patient experience of drug reaction with eosinophilia and systemic symptoms: A qualitative study. Citation Samarakoon U, Wolfson AR, Zhou L, Bassir F, Phillips E, Kroshinsky D, Cucka B, Biglione B, Phadke NA, Jaggers J, Byrne EC, Judd AD, Blumenthal KG. Understanding the patient expe…

312. Medication Safety in Primary Care Practice - Translating Research into Practice | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medication-safety-primary-care-practice-translating-research-practice
     January 01, 2023 - Medication Safety in Primary Care Practice - Translating Research into Practice Project Final Report ( PDF , 142.6 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 rep…

313. Cardio-HIT Phase II - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs017160-kmetik-final-report-2009.pdf
     January 01, 2009 - The recent proposal to utilize RxNorm as the vocabulary for drugs in quality measures may address these

314. Boston Medical Center | Digital Healthcare Research
     digital.ahrq.gov/organization/boston-medical-center
     January 01, 2023 - Boston Medical Center Implementation and Dissemination of 'Gabby,' a Health Information Technology System for Young Women, Into Community-Based Clinical Sites Description This research evaluated the appropriateness, acceptability, feasibility, and effectiveness of the Gabby He…

315. Integration of an NLP-based Application to Support Medication Management - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs021544-zhou-final-report-2014.pdf
     January 01, 2014 - Other errors were due to allergies, drug classes, multiple ingredient medications, inpatient drugs, … Normalized names for clinical drugs: RxNorm at 6 years. J Am Med Inform Assoc.18(4):441-8. 33.

316. Using Health IT: Eight Quality Improvement Stories (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/EightSuccessStories_092810.pdf
     September 01, 2010 - that the patient was having a heart attack and, if having a heart attack, whether PCI or clot-busting drugs … probability of a patient experiencing positive results or negative side effects from clot-busting drugs … Project ECHO staff estimate that pharmaceutical firms have donated more than $3 million in no-cost pharmaceuticals … Physicians select drugs from a color-coded list indicating the drug’s relative cost. … Physicians prescribed lower cost drugs 3.3 percent more often when they used the system than when they

317. AmbulDATAFORM 4 ADE Incident Identification Formatory Pedi Med Study (pdf file)
     digital.ahrq.gov/sites/default/files/docs/resource/Dataform_4_ADE_Incident_Identification_Form.pdf
     June 16, 2021 - AmbulDATAFORM 4 ADE Incident Identification Formatory Pedi Med Study DATAFORM 4 ADE Incident Identification Form 1. Study ID Number: ___ ___-___ ___ ___ ___ ___ 2. Case Number: ___ ___ ___ ____ 3. Reviewer ID Number: ___ ___ 4. Brief description of ADE: ____________________________…

318. Data Collection Form | Digital Healthcare Research
     digital.ahrq.gov/document-type/data-collection-form
     January 01, 2023 - Data Collection Form ADE Incident Identification Form Description This form identifies an adverse drug event using data reported by a clinician. Document Source Statewide Implementation of Electronic Health Records ADE and Near Mis…

319. Drug hypersensitivity reactions documented in electronic health records within a large health system. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/drug-hypersensitivity
     January 01, 2023 - Drug hypersensitivity reactions documented in electronic health records within a large health system. Citation Wong A, Seger DL, Lai KH, et al. Drug hypersensitivity reactions documented in electronic health records within a large health system. J Allergy Clin Immunol Pract. 2018 Dec 1. pii:S2213-219…

320. USA, AZ, Tucson | Digital Healthcare Research
     digital.ahrq.gov/location/usa-az-tucson
     January 01, 2023 - USA, AZ, Tucson Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding Description This research used natural language processing and machine learning to develop algorithms to recognize diagnostic cri…