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Showing results for "complications".

1. Reduction in Hospital-Acquired Complications and Infections (pdf file)
   digital.ahrq.gov/sites/default/files/docs/page/reduction-in-hospital-acquired-complications-and-infections-quick-reference-guide.pdf
   January 01, 2010 - Reduction in Hospital-Acquired Complications and Infections Advancing Excellence in Health Care www.ahrq.gov … Agency for Healthcare Research and Quality Health IT Reduction in Hospital- Acquired Complications … Evaluation: Change in the number, rate, or percentage of hospital-acquired complications or infections … A simple chart or graph that visually displays hospital-acquired complications or infections over time … Evaluators will need to weigh the occurence of hospital-acquired complications or infections based on

2. Impact of complications on outcomes following aortic and mitral valve replacements in the United States. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/health-information-technology-value-rural-hospitals/citation/impact
   January 01, 2023 - Impact of complications on outcomes following aortic and mitral valve replacements in the United States … Impact of complications on outcomes following aortic and mitral valve replacements in the United States … Impact of complications on outcomes follow… Principal Investigator Ward, Marcia Project

3. Do postoperative complications vary by hospital teaching status? | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/health-information-technology-value-rural-hospitals/citation/do-postoperative
   January 01, 2023 - Do postoperative complications vary by hospital teaching status? … Do postoperative complications vary by hospital teaching status?

4. Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/machine
   January 01, 2023 - Using machine learning techniques to develop forecasting algorithms for postoperative complications: … Using machine learning techniques to develop forecasting algorithms for postoperative complications:

5. Patients with ulcerative colitis are more concerned about complications of their disease than side effects of medications. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/evaluating-prediction-tool-and-decision-aid-patients-crohns-disease/citation-1
   January 01, 2023 - Patients with ulcerative colitis are more concerned about complications of their disease than side effects … Patients with ulcerative colitis are more concerned about complications of their disease than side effects

6. Association of telemedicine for remote monitoring of intensive care patients with mortality, complications, and length of stay. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/measuring-value-remote-intensive-care-unit-icu-monitoring/citation/association
   January 01, 2023 - Association of telemedicine for remote monitoring of intensive care patients with mortality, complications … Association of telemedicine for remote monitoring of intensive care patients with mortality, complications

7. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/use
   January 01, 2023 - develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications … develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications

8. EnhanCed HandOffs (ECHO) | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/enhanced-handoffs-echo
   January 01, 2024 - communication between interdisciplinary teams and increased shared understanding of risks for postoperative complications … the research are as follows: Validate a dynamic ML model to predict patient risks for postoperative complications … Researchers will update current ML risk-prediction models for postoperative complications and validate … learning–augmented report promotes the identification and sharing of patient risks to postoperative complications … patient experiences and patient safety and reducing healthcare costs associated with postoperative complications

9. Dental Recommendations for Preventing Complications in Patients with Chronic Conditions | Digital Healthcare Research
   digital.ahrq.gov/health-it-tools-and-resources/ahrq-funded-project-resources-archives/dental-recommendations
   January 01, 2023 - Dental Recommendations for Preventing Complications in Patients with Chronic Conditions … Technology Clinical Decision Support System PDF Dental Recommendations for Preventing Complications

10. Ward, Marcia | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/ward-marcia
    January 01, 2023 - Health Information Technology Value in Rural Hospitals Do postoperative complications … Do postoperative complications vary by hospital teaching status? … Project Name Health Information Technology Value in Rural Hospitals Impact of complications … Impact of complications on outcomes following aortic and mitral valve replacements in the United States

11. Avidan, Michael | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/avidan-michael
    October 14, 2020 - develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications … develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications … Using machine learning techniques to develop forecasting algorithms for postoperative complications … Using machine learning techniques to develop forecasting algorithms for postoperative complications:

12. Dental Recommendations for Preventing Complications in Patients with Chronic Conditions Health Partners Research Foundation eDent Study (pdf file)
    digital.ahrq.gov/sites/default/files/docs/resource/James_Fricton_IQHIT_Q1_HP_Recommendations_for_Preventing_Complications_for_Chronic_Illnesses.pdf
    January 01, 2005 - Dental Recommendations for Preventing Complications in Patients with Chronic Conditions Health Partners … Research Foundation eDent Study Dental Recommendations for Preventing Complications in Patients … Monitor their symptoms that may suggest complications Table 1. … Monitor their symptoms that may suggest complications Table 1. … In diabetic patients, early onset of complications relating to cardiovascular system, eyes, kidneys

13. eHealth Records to Improve Dental Care for Patients with Chronic Illnesses | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ehealth-records-improve-dental-care-patients-chronic-illnesses
    January 01, 2023 - increased risk of dental conditions such as periodontal disease and cavities, but also the risk of medical complications … No impact on complications was found, although complications were relatively low. … Disclaimer details Close Dental Recommendations for Preventing Complications … Link: Dental Recommendations for Preventing Complications in Patients with Chronic Conditions

14. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast
    January 01, 2023 - Furthermore, 10 to 20 percent of these patients experience major complications such as heart attacks, … Using machine learning techniques to develop forecasting algorithms for postoperative complications: … An estimated 10 to 20 percent of patients who undergo major inpatient surgery experience major complications … Air traffic control concepts can predict high risks for healthcare complications and improve decision … learning to develop predictive algorithms, helping to predict patients who are at risk for specific complications

15. A computerized intervention to improve timing of outpatient follow-up: a multicenter randomized trial in patients treated with warfarin. National Consortium of Anticoagulation Clinics | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
    digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/computerized-intervention
    March 01, 1994 - interval scheduled by the provider, the interval at which the patient actually returned to clinic, complications … Life-threatening complications occurred in the care of three experimental patients and one control patient … , while other serious complications occurred in the care of 16 experimental patients and 17 control patients

16. An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ai-directed-cds-tool-reduce-iron-deficiency-anemia-pregnancy-randomized
    August 01, 2024 - year, nearly 4 million people give birth in the United States, with an increasing number experiencing complications … Studies show that anemia increases the risk of maternal complications and severe morbidity, with more … deficiency screening protocols, researchers aim to improve pregnancy outcomes and reduce preventable complications

17. Measuring the Value of Remote Intensive Care Unit (ICU) Monitoring | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/measuring-value-remote-intensive-care-unit-icu-monitoring
    January 01, 2023 - To measure the effect of a tele-ICU on mortality, complications, and length of stay in ICUs in a tertiary … Association of telemedicine for remote monitoring of intensive care patients with mortality, complications … Association of telemedicine for remote monitoring of intensive care patients with mortality, complications

18. ASSM Algorithm Script Version 2 based on Draft Algorithm 8 (pdf file)
    digital.ahrq.gov/sites/default/files/docs/resource/PCC_Burns_Q2_ASSM_Algorithm_Script_Version_2__based_on_Draft_Algorithm_8_January_30.pdf
    January 30, 2008 - As you continue toward you goal, you will be healthier and less prone to diabetes complications. … All your efforts are paying off, and helping you avoid complications of diabetes 4. Null 5. … Your current trend will increase your risks of complications, but with improved self-management habits … , you can control your diabetes and decrease your risk of complications.

19. A Patient-Facing App to Improve Care Transitions from Hospital to Home | Digital Healthcare Research
    digital.ahrq.gov/program-overview/research-stories/patient-facing-app-improve-care-transitions-hospital-home
    January 01, 2023 - Complications, such as falls or medication errors, could lead to readmissions. … These complications are caused by a variety of factors, including poor communication among the inpatient … Ultimately, the goal of the research is to reduce post-discharge complications for high-risk patients

20. Primary Care Visual Error Reporting Tool- Part 2 (pdf file)
    digital.ahrq.gov/sites/default/files/docs/resource/b4_singh_017020_archives_17_part2.pdf
    January 01, 2009 - Mild: Reversible complications, not requiring hospitalization, e.g. brief/mild symptoms (e.g. <1day). … Moderate: Reversible complications, not requiring hospitalization, e.g. … ER visit, prolonged symptoms (e.g. 1 day or m Severe: Severe or irreversible complications e.g. hospitalization