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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:
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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.
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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.
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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.
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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.
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digital.ahrq.gov/principal-investigator/solberg-leif
February 27, 2024 - What's important: Postoperative care planning. … What's important: Postoperative care planning.
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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
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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
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digital.ahrq.gov/type-care/multi-specialty-care
January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
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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
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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
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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
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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
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digital.ahrq.gov/principal-investigator/abraham-joanna
January 01, 2024 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
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digital.ahrq.gov/health-care-theme/sociotechnical-aspects
January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
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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
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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
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digital.ahrq.gov/organization/university-wisconsin-madison
January 01, 2023 - Principal Investigator(s)
Molfenter, Todd David
Patient-Centered Postoperative
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digital.ahrq.gov/location/usa-wi-madison
January 01, 2023 - Principal Investigator(s)
Molfenter, Todd David
Patient-Centered Postoperative
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digital.ahrq.gov/health-care-theme/transitions-care
January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative