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Showing results for "measured".
Users also searched for: quality measures

241. A National Web Conference on Reducing Provider Burden through Better Health IT Design - Slides (pdf file)
     digital.ahrq.gov/sites/default/files/docs/reducing-provider-burden-slides-012518.pdf
     January 25, 2018 - Comparison of CPOE frequency, time- at-task per order and EHR UI burden as measured … high burden (frequency and time at task) to attended to EHRs along with high subjective workload as measured … Comparison of CPOE frequency, timeat-task per order and EHR UI burden as measured by numbers of clicks

242. Targeting Medication Nonadherence Using Mobile Phone-Based Tailored Messaging - FInal Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r36hs021976-gatwood-final-report-2014.pdf
     January 01, 2014 - Survey responses measured changes in health beliefs, adherence was assessed using pharmacy claims, and … Outcomes Adherence was measured at three time points throughout the study and compared between groups … Additionally, technology acceptance—as measured in the intervention arm—was relatively high, suggesting

243. Improving Accuracy of Electronic Notes Using a Faster, Simpler Approach - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs023631-payne-final-report-2018.pdf
     January 01, 2018 - Outcomes Here we report results of the 3 outcomes measured in this study: the time between when the … Satisfaction with the process of creating notes was measured using a modification of the Canada Health … Note quality was being measured using the PQRI-9 survey and a single question: “‘Please rate the overall

244. Quality Measures for Colonoscopy (pdf file)
     digital.ahrq.gov/sites/default/files/docs/resource/Logan_QMforColonoscopy_Narrative_v4.pdf
     December 12, 2008 - When options are available, method of documentation will be measured: by simple statement, by identification … Average time of withdrawal from cecum to completion of procedure is then measured, aggregating over

245. Improving Patient Safety/Quality with HIT Implementation (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015284-reiling-final-report-2008.pdf
     January 01, 2008 - In order to assess hospital outcomes, we measured the length of stay, cost, and patient satisfaction … The standardization study measured the level of standardization in hospital structure, as well as in … The second component of this study measured the difference in standardization for medication and other … Using a combination of interviews and observation, this study measured the perceived level of automation … Noise levels were measured for 24-hour periods of time with a dosimeter in multiple locations including

246. E-prescribing Impact on Patient Safety, Use and Cost (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r01hs015175-weissman-final-report-2007.pdf
     January 01, 2007 - physicians who use e-prescribing experience a lower rate of apparent poor prescribing habits, as measured … We measured both an absolute count of e-prescriptions and a proportional uptake rate. … Adoption and uptake of the e-prescribing system were measured by the number of prescribers enrolled … The e- prescribing rate was the dependent variable, and all measured prescriber characteristics were … Similar to the cost analysis, the “ever Zix” variable measured the impact of having a high prescribing

247. Advancing Quality Measurement and Care Improvement with Health Information Exchange | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/advancing-quality-measurement-and-care-improvement-health-information-exchange
     January 01, 2023 - Additionally, they built, implemented, and measured the performance of 1) a monthly HIE-based early ED

248. 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
     July 31, 2025 - There is a protein product that builds up in the blood and it can be measured, but that doesn't happen

249. Improving Safety and Quality of Emergency Care Using Machine Learning-Based Clinical Decision Support at Triage | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-safety-and-quality-emergency-care-using-machine-learning-based
     September 30, 2023 - As part of the research, biases of the algorithms will be measured by assessing bias by race, gender,

250. Designing User-Centered Decision Support Tools for Chronic Pain in Primary Care (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs023306-harle-final-report-2020.pdf
     January 01, 2020 - This includes treating pain as the “fifth vital sign” that must be appropriately measured and actively … With these methods, we measured PCPs’ information use and decision making patterns, and described them

251. Using mHealth and Patient-Reported Outcomes to Deliver Evidence-Based Asthma Care - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs023960-rudin-final-report-2018.pdf
     January 01, 2018 - severity (well = 0–2, not well = 3–7, very poorly = 8-19) and changes in severity categories were measured … We measured study characteristics, including the percent of study weeks for which patients completed

252. TRial of Aggregate Data Exchange for Maintenance of certification and Raising Quality (TRADEMaRQ) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs022583-phillips-final-report-2018.pdf
     January 01, 2018 - all of the SETMA clinicians were more likely to choose improvement activities associated with their measured … There were no differences in demographic characteristics or medical knowledge as measured by their most

253. Sponsored Health IT and Evidence-Based Prescribing among Medical Residents - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs022927-primack-final-report-2017.pdf
     January 01, 2017 - the SMARxT program demonstrated high levels of acceptability as well as preliminary efficacy, as measured … The SMARxT program demonstrated high levels of acceptability as well as preliminary efficacy, as measured

254. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enabling-large-scale-research-autism-spectrum-disorders-through-automated
     January 01, 2023 - Both precision and recall were measured.

255. Personal Health Records and Elder Medication Use Quality | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/personal-health-records-and-elder-medication-use-quality
     January 01, 2023 - Followup questionnaires measured change from baseline medication use, behaviors, quality, and adherence

256. EHR Usability Toolkit: A Background Report on Usability and Electronic Health Records (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/EHR_Usability_Toolkit_Background_Report.pdf
     January 26, 2006 - It also defines usability and how usability can be operationally measured through its core attributes … Useful is measured by the “percentage of domain functions in the EHR vs. all domain functions in the … It is typically measured by the length of time required to complete a task, task success, number of … keystrokes, and number of screens visited.24,35 Efficiency may also be measured by objective measures … We compare these questionnaires by their reliability, validity, and attributes of usability measured

257. Improving Quality In Cancer Screening: The Excellence Report For Colonoscopy - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-quality-cancer-screening-excellence-report-colonoscopy/annual-summary/2010
     January 01, 2010 - adherence to quality recommendations, and durability of changes upon discontinuing the reports, were measured

258. The Impact of Health Information Technology on Demand for Inpatient Services - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r36hs018272-barrette-final-report-2011.pdf
     January 01, 2011 - These include hospital size measured by ln(hospital beds) and indicator variables for for-profit status … interaction of patient characteristics age, gender (female = 1), race (non-white = 1), severity measured … have significantly different implications for a patient our analysis is of demand for hospitals, measured … The health IT effects are measured by separate dummy variables for each of the three technologies … These include hospital size measured by ln(hospital beds) and indicator variables for for-profit status

259. Trial of Decision Support to Improve Diabetes Outcomes (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r01hs015123-cebul-final-report-2008.pdf
     January 01, 2008 - Quality was measured by changes in: 1) A1c levels; and 2) an 8-item ADA score, sub-divided into patient … For secondary Aim 4, we measured selected general and intervention-specific unintended consequences. … The patient survey domains measured in the pre-CRT phase were: attitude towards technology, subjective … various computer-centered components of DM2 For the web portal access arms of the trial at CCF, we measured … Activities that were “measured” included: Number of sessions that the patient logged into the portal

260. Automating Assessment of Obesity Care Quality - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs018157-hazlehurst-final-report-2013.pdf
     January 01, 2013 - practices and patient response that can be used to generate benchmarks upon which improvements can be measured … both locally and nationally, upon which patient, provider, system and policy interventions can be measured … Overall accuracy is measured as the total percentage of patients classified correctly. … The primary outcome measure was defined as the percent change in weight between baseline weight (measured … on the index date) and final weight (measured 12 months post index date +/- 2 months).