Results

Total Results: 394 records

Showing results for "death".

1. Identification of Patients with Low Life Expectancy | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/identification-patients-low-life-expectancy
   January 01, 2022 - Publications Events The inclusion of information from free-text notes into risk of death … prediction models significantly improves the ability to predict the probability of death, with the potential … With a goal of identifying patients at high risk of death, this research integrated the artificial intelligence … This model of risk of death was created, tested, and analyzed against benchmark statistical and machine … The researchers found that inclusion of NLP-generated data improved estimates of the probability of death

2. R01Hs024090-Turchin-Final-Report-2019 (pdf file)
   digital.ahrq.gov/sites/default/files/docs/citation/r01hs024090-turchin-final-report-2019.pdf
   January 01, 2019 - conjunction with natural language processing can achieve higher prediction accuracy for the risk of death … Results: Dynamic Logic had a small but consistent advantage in estimating the probability of death over … Death Master File. … Specifically, we evaluated the risk of death once a year, on January 1st. … Benchmark Methods We utilized several benchmark methods analytical for prediction of risk of death.

3. Creating a Health Information Exchange Application to Provide Fast Access to Patient Data in Emergency Department Settings | Digital Healthcare Research
   digital.ahrq.gov/2020-year-review/research-summary/creating-health-information-exchange-application-provide-fast-access-patient-data-emergency
   January 01, 2020 - about a patient’s health history, especially in the emergency department (ED) setting, where life and death … repeated or unnecessary diagnostic tests and to expedite care and treatment in potentially life or death … You really can't spend minutes looking up stuff on the computer when somebody is bleeding to death right

4. A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/longitudinal-machine-learning-approach-providing-clinicians-timely-detection
   September 30, 2023 - ideation (SI), a broad term used to describe a range of contemplations, wishes, and preoccupations with death … Active duty personnel who die by suicide often maintain their duties until their death.

5. No Slide Title (ppt file)
   digital.ahrq.gov/sites/default/files/docs/implementation/U%20of%20MN%209-17-05.ppt
   November 24, 2003 - Death on Domestic Flights - 1 in 8,000,000 flights Background - IOM Report cont’d Death in Hospitals

6. Reaching the Research Community Through Web Conferences | Digital Healthcare Research
   digital.ahrq.gov/2020-year-review/research-dissemination/reaching-research-community-through-web-conferences
   January 01, 2020 - Turchin highlighted research that showed inclusion of information from free-text notes into risk-of-death … prediction models significantly improves the ability to predict the probability of death.

7. A National Web Conference on Applying Advanced Analytics in Clinical Care: Slides (pdf file)
   digital.ahrq.gov/sites/default/files/docs/clinical-care-slides-10142020.pdf
   October 14, 2020 - in conjunction with natural language processing can be used to identify patients at high risk for death … counseling while patient’s HbA1c > 7% • Primary outcome: MI, CVA, hospitalization for angina or death … months between 2000 and 2014 • Data for every patient were re-analyzed every 12 months to predict death … neural network (MPCNN) that can directly handle a heterogeneous dataset Predicting Postoperative Death … Our Approach Architecture of the Multipath Convolutional Neural Network � Predicting Postoperative Death

8. eHealth in Utah: Improving Patient Care Through Health Information Exchange (pdf file)
   digital.ahrq.gov/sites/default/files/docs/page/2006Sundwall_051111comp.pdf
   June 01, 2006 - Commissioner for Health 11 8th Leading Cause of Death … Leading Causes of Death and Estimated Medical Injuries That Contributed to Death: Utah, 2001 Cause … of Death Deaths 1 Diseases of heart 2,875 2 Malignant neoplasms 2,304 3 Cerebrovascular diseases … Pilot Projects� (beginning now) Moving to ‘Clinical’ Exchanges Where We Are 8th Leading Cause of Death

9. TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS – Final Report (pdf file)
   digital.ahrq.gov/sites/default/files/docs/citation/r18hs026188-gong-final-report-2022.pdf
   January 01, 2022 - ) 40 (37.0) -20 (-115.5, 0.3) 81 (75.0) 27 (25.0) -314 (-588.5, -127.8) ARDS or death … 652 308 (47.2) -58 (-112, - 20) ARDS and Death 255 237 (92.9) 4 (-1, 18) 86 (36.3) 156 ( … 163 128 (78.5) -37 (-87, -11) ARDS and Death 255 237 (92.9) 4 (-1, 18) 86 (36.3) 156 (65.8 … ) 0 (-12, 10) 125 (52.7) 112 (47.3) - 112 (-211.3, -52) ARDS or death 746 555 (74.4) … The model identified patients at risk for ARDS or death at a median of 10 hours and an interquartile

10. Improving Healthcare Processes and Outcomes by Directly Integrating Health Information Exchange Data in the Clinical Workflow | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-healthcare-processes-and-outcomes-directly-integrating-health
    January 01, 2022 - about a patient’s health history, especially in the emergency department (ED) setting, where life and death … repeated or unnecessary diagnostic tests and to expedite care and treatment in potentially life or death … You really can't spend minutes looking up stuff on the computer when somebody is bleeding to death right

11. Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale | Digital Healthcare Research
    digital.ahrq.gov/engaging-patients-enable-interoperable-lung-cancer-decision-support-scale
    August 01, 2022 - Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale Project Description Improving shared decision making for lung cancer screening by adapting and disseminating an interoperable clinical decision suppor…

12. The Anesthesiology Control Tower: Like Air Traffic Control for Operating Rooms | Digital Healthcare Research
    digital.ahrq.gov/annual-report-2021/research-summary/anesthesiology-control-tower-air-traffic-control-operating-rooms
    January 01, 2021 - patients who are at risk for specific complications, including respiratory failure, kidney failure, and death … ACTFAST into operating rooms improves care Machine learning algorithms for predicting postoperative death

13. The Anesthesiology Control Tower: Like Air Traffic Control for Operating Rooms | Digital Healthcare Research
    digital.ahrq.gov/2020-year-review/research-summary/anesthesiology-control-tower-air-traffic-control-operating-rooms
    January 01, 2020 - patients who are at risk for specific complications, including respiratory failure, kidney failure, and death … ACTFAST into operating rooms improves care Machine learning algorithms for predicting postoperative death

14. Improving the Delivery of Health Services at the Health Systems Level | Digital Healthcare Research
    digital.ahrq.gov/2019-year-review/research-summary/improving-delivery-health-services-health-systems-level
    January 01, 2019 - Dynamic Logic, a machine-learning algorithm to improve the identification of patients at high risk of death … the results indicated that Dynamic Logic had a consistent advantage in estimating the probability of death

15. Errors in Paramedic Endotracheal Intubation (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/2006Wang_051611comp.pdf
    January 01, 2006 -  Recurrent theme:  Paramedic ETI associated with increased risk of death.  Paramedic ETI associated … 209 pts matched with 627 historical non-intubated controls  “Prehospital RSI  increased odds of death … non-intubated cases  Multivariable and propensity score adjusted  “Paramedic ETI  4x greater odds of death

16. How Capable of Using Information Technology is the Average Patient? (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/2006FriedmanSantinonFormica_052411comp.pdf
    May 26, 2011 - NEJM 1999:341:1725 Death Rate All Dialysis 16.1/100 pt yrs Waitlist 6.3/100 pt yrs PROJECTED YEARS … NEJM 1999:341:1725 Death Rate All Dialysis 16.1/100 pt yrs Waitlist 6.3/100 pt yrs Transplant Recipients

17. Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/engaging-patients-enable-interoperable-lung-cancer-decision-support-scale
    January 01, 2024 - Engaging Patients to Enable Interoperable Lung Cancer Decision Support at Scale Project Description Publications Improving shared decision making for lung cancer screening by adapting and disseminating an interoperable clini…

18. Virtual Continuity and its Impact on Complex Hospitalized Patients' Care | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/virtual-continuity-and-its-impact-complex-hospitalized-patients-care
    January 01, 2022 - However, errors that were considered clinically significant—those leading to death, permanent or temporary … significant difference seen in PCP followup visits and ED visits at 30 days, or in 30-day readmission or death

19. Decision Precision : Increasing Lung Cancer Screening for At-Risk Patients | Digital Healthcare Research
    digital.ahrq.gov/program-overview/research-stories/decision-precision-increasing-lung-cancer-screening-risk-patients
    January 01, 2022 - Decision Precision+: Increasing Lung Cancer Screening for At-Risk Patients Theme: Supporting Health Systems in Advancing Care Delivery Subtheme: Scaling Effective Digital Healthcare Interventions Across Healthcare Systems A shared decision-…

20. AHRQ Presentation Template (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/visual-diagnostic-system-to-reduce-diagnostic-errors-and-improve-clinical-outcomes.pdf
    July 02, 2015 - concepts for the media and public to understand:  Illegible prescriptions leading to wrong dose and death … Inaccurate Diagnosis Dissatisfied patients Death Negative perception of provider, clinic and hospital