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Total Results: 93 records

Showing results for "postoperative".

  1. digital.ahrq.gov/research-method/time-series
    January 01, 2023 - Utilization Using machine learning techniques to develop forecasting algorithms for postoperative … Using machine learning techniques to develop forecasting algorithms for postoperative complications:
  2. digital.ahrq.gov/technology/mobile-app
    August 01, 2024 - Settings Evaluating and improving the usability of a mHealth platform to assess postoperative … Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain.
  3. digital.ahrq.gov/2020-year-review/research-summary/anesthesiology-control-tower-air-traffic-control-operating-rooms
    January 01, 2020 - Integrating ACTFAST into operating rooms improves care Machine learning algorithms for predicting postoperative … Algorithms were able to predict postoperative adverse outcomes with a high degree of accuracy.
  4. digital.ahrq.gov/research-method/usability-assessment
    January 01, 2024 - Settings Evaluating and improving the usability of a mHealth platform to assess postoperative … Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain.
  5. digital.ahrq.gov/medical-condition/orthopedic-disease
    January 01, 2024 - Improving Care Delivery through Health Information Technology What's important: Postoperative … What's important: Postoperative care planning.
  6. digital.ahrq.gov/principal-investigator/solberg-leif
    February 27, 2024 - What's important: Postoperative care planning. … What's important: Postoperative care planning.
  7. digital.ahrq.gov/technology/mobile-device
    January 01, 2024 - and Coaching Evaluating the impact of an mHealth platform for managing acute postoperative … Evaluating the impact of an mHealth platform for managing acute postoperative dental pain: Randomized
  8. digital.ahrq.gov/ahrq-funded-projects/surgical-risk-preoperative-assessment-system
    January 01, 2023 - Comparison of accuracy of prediction of postoperative mortality and morbidity between a new, parsimonious … Comparison of accuracy of prediction of postoperative mortality and morbidity between a new, parsimonious
  9. digital.ahrq.gov/type-care/multi-specialty-care
    January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
  10. digital.ahrq.gov/ahrq-funded-projects/scaling-and-spreading-electronic-capture-patient-reported-outcomes-leveraging
    January 01, 2024 - the ACS NSQIP, a clinical registry that collects patient characteristics, perioperative details, and postoperative … Adjusting for patient- and case-mix, patients who experienced postoperative morbidity, compared to those
  11. digital.ahrq.gov/sites/default/files/docs/clinical-care-slides-10142020.pdf
    October 14, 2020 - Predicting postoperative mortality with machine learning Patient Characteristics Intraoperative … Time-Series Data Postoperative Outcomes FORECASTING ALGORITHMS ACTFAST2 Our Approach Dataset … convolutional deep neural network (MPCNN) that can directly handle a heterogeneous dataset Predicting Postoperative … Slide Number 67 Our Approach Architecture of the Multipath Convolutional Neural Network � Predicting Postoperative
  12. digital.ahrq.gov/program-overview/program-impact
    January 01, 2023 - Timeliness to Deliver Life-Saving Care for Patients Experiencing Heart Attacks Improving Safety in Postoperative
  13. digital.ahrq.gov/program-overview/success-stories
    January 01, 2023 - Surgical Risk Preoperative Assessment System (SURPAS) - A Postoperative Risk Assessment CDS Tool Principal … guidance of the output of SURPAS to educate patients and further optimize their care to decrease adverse postoperative
  14. digital.ahrq.gov/principal-investigator/abraham-joanna
    January 01, 2024 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
  15. digital.ahrq.gov/health-care-theme/sociotechnical-aspects
    January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
  16. digital.ahrq.gov/2020-year-review/research-dissemination/reaching-research-community-through-web-conferences
    January 01, 2020 - Avidan found that these algorithms can predict postoperative adverse outcomes with a high degree of accuracy
  17. digital.ahrq.gov/funding-mechanism/improving-quality-care-and-patient-outcomes-during-care-transitions-r01
    January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
  18. digital.ahrq.gov/organization/university-wisconsin-madison
    January 01, 2023 - Principal Investigator(s) Molfenter, Todd David Patient-Centered Postoperative
  19. digital.ahrq.gov/location/usa-wi-madison
    January 01, 2023 - Principal Investigator(s) Molfenter, Todd David Patient-Centered Postoperative
  20. digital.ahrq.gov/health-care-theme/transitions-care
    January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative

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