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Showing results for "medications".
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221. The Medication Metronome Project - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs018648-atlas-final-report-2014.pdf
     January 01, 2014 - The analytic cohort of patients consisted of those individuals who were prescribed medications used … When one of these study medications was prescribed, the intervention physician had the opportunity … Prescribed study medications by participating PCPs were obtained from the EHR. … Over the 12-­‐month study period, 3022 eligible study medications were prescribed for 2049 patients … However, similar results were not seen for HbA1c control among oral medications used to manage type

222. Assessment of Pediatric Look-Alike, Sound-Alike (LASA) Substitution Errors - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/assessment-pediatric-look-alike-sound-alike-lasa-substitution-errors/annual-summary/2010
     January 01, 2010 - This study will identify pediatric medications that are at highest risk of causing child harm through … screening alerts. ( Ongoing ) 2010 Activities: The project began by identifying the LASA list of medications … Beginning with 17,000 medications, the team eliminated LASA pairs where one of the drugs in the pair

223. The Long Term Effectiveness of Telephone Intervention Problem Solving (TIPS) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r21hs022166-beebe-final-report-2016.pdf
     January 01, 2016 - For purposes of this project and based upon the medications most commonly prescribed to participants … all sure = 1; somewhat sure = 2; or very sure = 3) that they will be able to adhere to prescribed medications … was collected at baseline and data on living arrangements and prescribed medications was updated … Pill counts scores for psychiatric medications for experimental participants averaged 67.4% (SD27.1 … Further, some psychiatric medications (e.g.

224. VisualDecisionLinc: Real-Time Decision Support for Behavioral Health - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs019023-mane-final-report-2014.pdf
     January 01, 2014 - to MDD like – mood disorder, anxiety disorder, substance use disorder, and others); and prescribed medications … Thirteen distinct medication classes were identified, and all individual medications were classified … predictive data attributes included demographic information, comorbidities, past medical history, medications … ; medications prescribed to a similar (or comparative) patient population; and predicted outcome … Modifications were made to tightly integrate medications with the timeline view.

225. Enhancing Medication CPOE Quality & Safety by Indications Based Prescribing - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs023694-schiff-final-report-2018.pdf
     January 01, 2018 - Usability Metrics/Analysis We recorded the medications ordered with each task and calculated an error … (itching) to represent three distinct types of medications: daily medications (gout), sensitive issues … Figure 2: Indications prototype screenshot of recommended medications based on indication of migraine … medications or situations where the diagnosis is uncertain. … Development and evaluation of an ensemble resource linking medications to their indications.

226. Enhanced Medical Histories: A Guide to Implementation in a Health Information Exchange (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/EnhancedMedHistoriesImplementationGuide.pdf
     November 01, 2011 - Only the “Medications” and “Laboratory Results” modules are needed. … prescribe medications, and are modified based on feedback from clinicians. … These medications are the RMRS Dictionary Term translations of the medications specified by the NCQA … Intervention patients have a document listing medications. … Control patients have a document without medications.

227. Forging a Pathway for Electronic Prescribing of Controlled Substances (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/forging-pathway-for-electronic-prescribing-of-controlled-substances.pdf
     March 01, 2014 - Electronic prescribing (e-prescribing) helps clini- cal providers and pharmacies prescribe and dispense medications … University, respon- dents indicated that EPCS: • Was easy to use (73 percent). • Improved monitoring of medications … coordination with pharmacists (56 percent). • Made it easier to identify diversion or misuse of medications … Grant Number R18 HS 017157 Project Title: Enabling E-Prescribing and Enhanced Management of Controlled Medications

228. Health Information Technology and Improving Medication Use - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-and-improving-medication-use/annual-summary/2010
     January 01, 2010 - from electronic health record (EHR) data if they are experiencing adverse effects related to specific medications … Interactive voice response is linked to a patient EHR to actively monitor patients taking these medications … The response rate for followup calls was 70 percent for patients actively taking the targeted medications … without automated telephone outreach (ATO) to patients on the use of antihypertensive and lipid-lowering medications

229. Evaluation and Integration of an Automatic Fall Prediction System - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/evaluation-and-integration-automatic-fall-prediction-system/annual-summary/2010
     January 01, 2010 - During the study interval, a complete evaluation of participant medications will be conducted, with particular … emphasis on identifying and recording the number of psychoactive and non-psychoactive medications that … Medications, ADLs, and residents’ history of falls will be treated as covariates in the regression analysis

230. Safety Through Enhanced e-PreScribing Tools (STEPStools): Developing Web Services for Safe Pediatric Dosing - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/safety-through-enhanced-e-prescribing-tools-stepstools-developing-web-services/annual-summary/2011
     January 01, 2011 - Certain subspecialties prescribe compounded medications more frequently than others; these prescribers … found the added compounded medications in the list to be useful. … Additional work should improve the performance of the rounding algorithm and the number of medications

231. Lobach DF et al. 1997 "Computerized decision support based on a clinical practice guideline improves compliance with care standards." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/lobach-df-et-al-1997
     January 01, 1997 - mathematical calculations and/or logical comparisons using data selectively retrieved from the problem list, medications … EMR), including "demographic information, scheduling, accounting, problem lists, encounter summary, medications … , quality assurance, laboratory orders/results, and medications/immunizations" was already in place.

232. AHRQ Grant Final Progress Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs017149-veline-final-report-2011.pdf
     January 01, 2011 - For many chronic conditions, poor patient compliance with prescribed medications can adversely affect … bad effects of the medications as well as the overall care satisfaction. … Medications were placed into three categories. … The potentially generic medications include both the generic medications as well as the medications … and increased use of multisource or generic medications.

233. Automating Assessment of Asthma Care Quality - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs017022-hazlehurst-final-report-2010.pdf
     January 01, 2010 - if provider- level review or history of medications are documented 8 All patients seen for an … medications categories AND four distinct asthma-related outpatient visits. … Documentation of current medications review Acute Exacerbation (AE) KPNW 42/42 100.0% 7. … Documentation of current medications review Acute Exacerbation (AE) OCHIN 81/87 93.1% 8. … Medications review 0.550 <.001 0.487 0.622 1940 8.

234. Implementation Guide: Factors to Consider in Managing Chronic Pain: A Pain Management Summary (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/implementation-guide.pdf
     December 01, 2018 - Naloxone medications ordered or recorded for the patient (ever) e. … • Non-opioid Medications: Flag if NONE. • Non-phamiacologic Treatments: Flag if NONE. … Intervention “Non-opioid medications” Medications with analgesic effects which may provide therapeutic … Intervention “Benzodiazepine medications” Per CDC guideline information and U.S. … Intervention Naloxone medications” Medications used to reverse the toxic effects of opioid overdose

235. Partners in Safety: The Walworth County (Wisconsin) Patient Safety Council (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/2006LeonhardtPagel_052411comp.pdf
     June 01, 2006 - Health Care June 2006 Medication Safety • 90% of Americans > 65 years of age take prescription medications … Inaccurate: • D (on chart but not taken by patient) OR Patient’s personal medication list and/or medications … I’ve been writing down patient’s medications for years, and they never bring that list back with them

236. How Do I Evaluate Workflow? (ppt file)
     digital.ahrq.gov/sites/default/files/docs/workflowtoolkit/WhatIsWorkflow.ppt
     January 01, 2009 - Reporting Diagnostic Test Results* Flows for different kinds of tests or normal vs. abnormal Ordering medications … to execute mental steps of searching for the correct information and locating the correct medications … Objects, such as medications, flowing through space and time.

237. Improving Quality through Decision Support for Evidence-Based Pharmacotherapy - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-quality-through-decision-support-evidence-based-pharmacotherapy/annual-summary/2011
     January 01, 2011 - This project developed two interventions to detect evidence-based indications for nine classes of medications … uncovered non-adherence and fostered discussions with patients about the importance of adhering to medications

238. Improving Lab Followup by Delivering an Enhanced Medication List to Outpatient Physician Practices - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-lab-follow-delivering-enhanced-medication-list-outpatient-physician/annual-summary/2010
     January 01, 2010 - Providers need to know what medications their patients take now, or have previously taken, if they are … However, primary care providers often do not know which medications have been prescribed by other providers … or which non-prescription medications the patient takes.

239. Feedback of Treatment Intensification Data to Reduce Cardiovascular Disease Risk - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/feedback-treatment-intensification-data-reduce-cardiovascular-disease-risk/annual-summary/2010
     January 01, 2010 - , Chronic Care * , Diabetes, Heart Disease Summary: Despite the availability of highly effective medications … management database and the same software but received information only on risk-factor levels and selected medications … intensification and risk-factor improvements in patient subgroups defined by prior adherence to prescribed medications

240. Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care
     March 31, 2025 - will experience a life-threatening adverse drug event (ADE), resulting from volume and complexity of medications … Patients in the ICU average more than 20 medications, heightening their risk of ADEs and poor outcomes … Technology: Machine Learning Cluster analysis driven by unsupervised latent feature learning of medications … Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes