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121. Title Page (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r01hs015009-ward-final-report-2008.pdf
     January 01, 2008 - Paul James and Pengxiang Li led the effort and found that the raw in-hospital mortality rate in Iowa … rates disappeared4. … Comparing mortality rates in rural and urban hospitals for patients with myocardial infarction: Rethinking … Comparing mortality rates in rural and urban hospitals for patients with myocardial infarction: Rethinking … Comparing mortality rates in rural and urban hospitals for patients with myocardial infarction: Rethinking

122. The Role of Telehealth in COVID-19 Response - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs028127-meeker-final-report-2023.pdf
     January 01, 2023 - observational study compared the accuracy of 14-day forecasts using public data on COVID cases and mortality … Key Words: Syndromic Surveillance, Case and Mortality Forecast, Telehealth, Action bias, Antibiotic … Outcomes Aim 1 - Primary outcomes were accuracy of 14-day forecasts of COVID-19 cases and mortality … Morbidity and Mortality Weekly Report. 2020. p. 699–704. … Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US. medRxiv

123. The Medication Metronome Project - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medication-metronome-project/annual-summary/2011
     January 01, 2011 - AHRQ Funding Amount $1,151,054 Summary: One goal of primary care is to reduce the morbidity and mortality

124. The Medication Metronome Project - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medication-metronome-project/annual-summary/2012
     January 01, 2012 - AHRQ Funding Amount $1,151,376 Summary: One goal of primary care is to reduce the morbidity and mortality

125. Health information privacy and syndromic surveillance systems | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/health-it-tools-and-resources/health-it-bibliography/privacy-and-security/health-information-priva-0
     Health information privacy and syndromic surveillance systems The development of syndromic surveillance systems to detect potential terrorist-related outbreaks has the potential to be a useful public health surveillance activity. However, the perception of how the Health Insurance Portability and Accountabili…

126. Use of Electronic Health Records for Addressing Overweight and Obesity in Primary Care - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/use-electronic-health-records-addressing-overweight-and-obesity-primary-care/annual-summary/2010
     January 01, 2010 - concern that is associated with increased risk of diabetes, cardiovascular disease, cancer, and all-cause mortality

127. 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 - Although preventable, an individual ADE doubles patient mortality and increases costs. … 3) What are the predicted outcomes, such as mortality and length of stay?

128. Effect of electronic laboratory reporting on the burden of lyme disease surveillance--New Jersey, 2001-2006 | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/health-it-tools-and-resources/health-it-bibliography/population-health-case-reporting/effect
     January 01, 2002 - Effect of electronic laboratory reporting on the burden of lyme disease surveillance--New Jersey, 2001-2006 Lyme disease (LD) is a vector-borne illness caused by the spirochete Borrelia burgdorferi and transmitted in the United States by blacklegged ticks (Ixodes spp.). In 2002, New Jersey expanded its paper-…

129. Automated detection and reporting of notifiable diseases using electronic medical records versus passive surveillance--massachusetts, June 2006-July 2007 | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/health-it-tools-and-resources/health-it-bibliography/population-health-case-reporting/automated
     July 01, 2007 - Automated detection and reporting of notifiable diseases using electronic medical records versus passive surveillance--massachusetts, June 2006-July 2007 Electronic medical record (EMR) systems have the potential to improve reporting of notifiable diseases beyond either traditional clinician-initiated or auto…

130. DEVISE: Data Exchange of Vaccine Information between an Immunization Information System and Electronic Health Record - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs022667-stockwell-final-report-2014.pdf
     January 01, 2014 - DEVISE: Data Exchange of Vaccine Information between an Immunization Information System and Electronic Health Record - Final Report FINAL REPORT Project Title: “DEVISE: Data Exchange of Vaccine Information between an IIS and EHR” …

131. Development of a Clinical Decision Support Tool for Facilitating Naturalistic Decision-Making and Improving Blood Culture Utilization - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs025238-xie-final-report-2020.pdf
     January 01, 2020 - of blood cultures to guide antimicrobial therapy is essential.3 In practice, because of the high mortality … blood cultures rate per 100 patient-days in the PICU) and patient outcome (e.g., PICU length of stay, mortality … rates, rates of hospital and PICU readmission within 7 days of discharge) to evaluate the impacts … rates, rates of hospital and PICU readmission within 7 days of discharge) on a monthly basis. … Defining Sepsis Mortality Clusters in the United States. Critical care medicine. 2016. 3.

132. The Medication Metronome Project | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medication-metronome-project
     January 01, 2023 - Disease Management Medication A major goal of primary care is to reduce the morbidity and mortality

133. Exploratory and Developmental Grant to Improve Health Care Quality through Health Information Technology: Surgical Risk Preoperative Assessment System (SURPAS) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024124-meguid-final-report-2018.pdf
     January 01, 2018 - Assessment; Qualitative Methods; Preoperative risk prediction; unplanned readmission; postoperative mortality … of preoperative risk variables required for accurate prediction of risk of operative mortality … The c-index is above 0.90 for one outcome (mortality, 0.928), between 0.80 and 0.89 for seven outcomes … enter the models for nine of the 11 adverse postoperative outcomes (all but the models for 30-day mortality … Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of

134. Clinical Decision Support for Chronic Pain Management | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/clinical-decision-support-chronic-pain-management-medstar
     August 01, 2024 - Health Care Theme Clinical Decision Making Learning Health System From 2009 to 2019, mortality … rates due to opioid overdose consistently rose, with evidence that overuse, misuse, and abuse of prescription

135. Clinical Decisionmaking | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/clinical-decisionmaking
     January 01, 2019 - provide ED clinicians a risk assessment to guide admissions and discharges to reduce morbidity and mortality

136. USA, MD, Hyattsville | Digital Healthcare Research
     digital.ahrq.gov/location/usa-md-hyattsville
     January 01, 2023 - and tested machine learning (ML) algorithms to predict emergency department returns and morbidity or mortality

137. MedStar Health Research Institute | Digital Healthcare Research
     digital.ahrq.gov/organization/medstar-research-institute
     January 01, 2023 - and tested machine learning (ML) algorithms to predict emergency department returns and morbidity or mortality

138. USA, MN, Minneapolis | Digital Healthcare Research
     digital.ahrq.gov/location/usa-mn-minneapolis
     January 01, 2023 - information sharing and patient outcomes, it did not consistently lead to an improvement in in-hospital mortality

139. Care Coordination | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/care-coordination
     January 01, 2023 - information sharing and patient outcomes, it did not consistently lead to an improvement in in-hospital mortality

140. Intensive Care Unit | Digital Healthcare Research
     digital.ahrq.gov/care-setting/hospital-intensive-care-unit
     January 01, 2023 - at risk of cardiac decompensation to allow for earlier intervention and reduction in morbidity and mortality