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digital.ahrq.gov/sites/default/files/docs/activity/automated_adverse_drug_event_detection_and_intervention_2009_update_2.pdf
January 01, 2009 - While surveillance provides quantitative data to estimate
the true rate of ADEs, voluntary reporting
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digital.ahrq.gov/sites/default/files/docs/activity/online_counseling_to_enable_lifestyle_focused_obesity_treatment_in_primary_care_2010_pdf__2.pdf
January 01, 2010 - Online Counseling to Enable Lifestyle-Focused Obesity Treatment in Primary Care
Online Counseling to Enable Lifestyle-Focused Obesity
Treatment in Primary Care
Principal Investigator: McTigue, Kathleen M., M.S., M.D., M.P.H.
Organization: University of Pittsburgh
Mechanism: PAR: HS08-270: Utilizing H…
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digital.ahrq.gov/ahrq-funded-projects/health-information-technology-nursing-home/annual-summary/2008
January 01, 2008 - Health Information Technology in the Nursing Home - 2008
Project Name
Health Information Technology in the Nursing Home
Principal Investigator
Gurwitz, Jerry
Organization
University of Massachusetts Medical School
Funding Mechanism
RFA: HS04-012: Demonstrating the V…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs027228-gold-final-report-2021.pdf
January 01, 2021 - response times or higher error rates
when participants were asked for the steepest rate of change, to estimate … to find specified extrema (e.g., worst pain), compare rate of change (e.g.,
largest improvement), estimate … response times or higher error rates
when participants were asked for the steepest rate of change, to estimate
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digital.ahrq.gov/ahrq-funded-projects/evaluation-and-integration-automatic-fall-prediction-system
January 01, 2023 - Evaluation and Integration of an Automatic Fall Prediction System
Project Final Report ( PDF , 311.1 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 vie…
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digital.ahrq.gov/sites/default/files/docs/survey/telemedicine-and-non-telemedicine-visit-experience-interview-guides.pdf
March 30, 2015 - Following each contact person/type, indicate (estimate) the number of contacts you made (for
example … ______ (provider’s estimate)
3.
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digital.ahrq.gov/sites/default/files/docs/citation/r01hs024264-zhou-final-report-2019.pdf
January 01, 2019 - different
healthcare institutions and clinical settings
Specific Aim 2: Conduct error analysis to estimate
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digital.ahrq.gov/sites/default/files/docs/publication/r36hs021988-hessels-final-report-2013.pdf
January 01, 2013 - The analytic approach used ordinary least squares and multiple
regression models to estimate the effects … examine and identify the
deceleration point of discharge as a refinement of the histogram to best estimate … The analytic approach used ordinary least squares and multiple regression models to estimate
the effects … is
a self-report survey of EHR adoption used primarily for market research and as such it may over
estimate
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digital.ahrq.gov/sites/default/files/docs/activity/health_information_technology_in_2009_update_2.pdf
January 01, 2009 - Health Information Technology in the Nursing Home
HEALTH INFORMATION TECHNOLOGY IN THE NURSING HOME 1
Project Title: Health Information Technology in the Nursing Home
Principal Investigator: Gurwitz, Je…
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digital.ahrq.gov/sites/default/files/docs/publication/uc1hs014920-bellamy-final-report-2007.pdf
January 01, 2007 - Near miss events were used as a proxy for medical errors to estimate potential cost savings to the
health … An estimate
of cost savings for medication errors was drawn from the literature, along with associated … length-
of-stay information, and an estimate of associated fatalities. … non-medication errors could not be justifiably quantified,
the above calculations represent a very conservative estimate
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs021233-butler-final-report-2016.pdf
January 01, 2016 - Mentally transform or estimate.
New information is expected but time is
unknown. … We ran MATHsim to estimate each HIT concept’s impact on the work burden of
clinicians, delay reductions … Prototypes of user interfaces were designed to clarify design details, and evaluated to estimate impact … Numeric labels on the bars indicate the average time in seconds, and bars show the standard
error of the estimate … values of the usability test were used to revise the to-be workflow model, then MATHsim was run to
estimate
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024124-meguid-final-report-2018.pdf
January 01, 2018 - This might suggest that patients do not necessarily
have a preconceived estimate of their risk of adverse … tool prompted more dialog with the patient when the
patient’s risk was high; and 3) The surgeon’s estimate
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digital.ahrq.gov/medical-condition/stroke
January 01, 2023 - Stroke
Evaluating Diagnostic Decision Support Systems for Patients Requiring Urgent Primary or Emergency Care or with Stroke
Description
This research will evaluate the safety, usability, diagnostic, and triage accuracy of a popular symptom checker app and new diagnostic algor…
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digital.ahrq.gov/ahrq-funded-projects/online-counseling-enable-lifestyle-focused-obesity-treatment-primary-care
January 01, 2023 - Online Counseling to Enable Lifestyle-Focused Obesity Treatment in Primary Care
Project Final Report ( PDF , 629.28 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 re…
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs023808-grannis-final-report-2023.pdf
January 01, 2023 - The point estimate and the 95% confidence
interval of the AUC, as well as the comparison of multiple … into multiple categories based on distribution of occurrence frequencies, we used
the EM algorithm to estimate … The point estimate and the 95%
confidence interval of the AUC, as well as the comparison of multiple … The point estimate and the 95% confidence interval of the AUC, as well as
the comparison of multiple
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digital.ahrq.gov/principal-investigator/hettinger-aaron-zachary
August 01, 2024 - Hettinger, Aaron Zachary
Clinical Decision Support for Chronic Pain Management - Final Report
Citation
Clinical Decision Support for Chronic Pain Management. Prepared under Contract No. 75P00119F37003. AHRQ Publication No.24-0074. Rockville, MD: Agency for Healthcare Research …
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digital.ahrq.gov/research-method/cross-sectional-prevalence-study
January 01, 2024 - Cross-Sectional (Prevalence) Study
Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health record.
Citation
Cross DA, Weiner J, Olson APJ. Digital supervision in the clinical learning environment: Characterizing teamwork in th…
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digital.ahrq.gov/population/children
January 01, 2025 - Children
Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children
Description
The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram timing and use for diagnosing vesicoureteral reflux (VU…
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digital.ahrq.gov/ahrq-funded-projects/hie-and-ambulatory-test-utilization/annual-summary/2011
January 01, 2011 - HIE and Ambulatory Test Utilization - 2011
Project Name
Health Information Exchange and Ambulatory Test Utilization
Principal Investigator
Nease, Donald
Organization
University of Colorado, Denver
Funding Mechanism
PAR: HS08-269: Exploratory and Developmental Grant …
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digital.ahrq.gov/sites/default/files/docs/page/NJ-EPAC%20Pilot%20Testing%20of%20Electronic%20Prescribing%20Standards_0.pdf
April 01, 2008 - We did not attempt to estimate the probability of patients’ ultimately
not obtaining the medication … In simulating the Med Hx standard’s effects, our base-case estimate of the rate of potential safety … We also asked
prescribers to estimate the average time that each step in the PA process takes and we … Adding the steps together,
prescribers average estimate for the total time needed to complete a PA request … integrate them with more accurate indications of the need to obtain PA for
individual patients, and to estimate