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Total Results: 318 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, 2023 - 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. Identification of Patients with Low Life Expectancy - Final Report (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. 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.

5. 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

6. 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
   September 29, 2024 - 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

7. 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

8. 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

9. How Capable of Using Information Technology is the Average Patient? (pdf file)
   digital.ahrq.gov/sites/default/files/docs/page/2006FriedmanSantinonFormica_052411comp.pdf
   June 16, 2021 - 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

10. 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

11. 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

12. 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.

13. 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, 2023 - 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

14. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs024581-avidan-final-report-2020.pdf
    January 01, 2020 - of surgical patients was used to develop and validate machine learning algorithms for postoperative death … To predict death, we constructed a multi-path convolutional neural network that extracted information … The incidence of postoperative death was 2.4%. … In the testing set, the multi-path convolutional neural network model predicted postoperative death … The AUPRC compares favorably to the incidence of death.

15. E-Coaching: IVR-Enhanced Care Transition Support for Complex Patients - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs017786-ritchie-final-report-2012.pdf
    January 01, 2012 - Eight percent of these care transitions resulted in death during the 30-day post-hospitalization time … was evident; on the other hand, for COPD, the intervention seemed to reduce rehospitalizations or death … In the COPD group, we saw trends for reduced rehospitalizations and death in the intervention group … 30 31 17.4 30 17.9 0.973 16 23.9 8 12.3 0.134 Rehospitalization or Death 90 56 31.5 62 36.9 0.340 … 30 5 2.8 4 2.4 0.930 2 3.0 0 0.0 0.490 Death 90 10 5.6 13 7.7 0.565 4 6.0 1 1.5 0.380 Days out of

16. 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

17. 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, 2023 - 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-making tool to support the appropriate use of low-…

18. Applying Advanced Analytics in Clinical Care | Digital Healthcare Research
    digital.ahrq.gov/national-webinars/applying-advanced-analytics-clinical-care
    January 01, 2023 - algorithms in conjunction with natural language processing can be used to identify patients at high risk for death

19. 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 clinical decision support tool and patient-facing app…

20. E-Prescribing Impact on Patient Safety, Use, and Cost - 2009 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/e-prescribing-impact-patient-safety-use-and-cost/annual-summary/2009
    January 01, 2009 - Overall, 25 percent of patients with a chronic condition had either a death or a hospitalization in the … year following their first e-prescription; however, e-prescribing had no impact on the risk of death