-
digital.ahrq.gov/principal-investigator/ward-marcia
January 01, 2023 - Project Name
Health Information Technology Value in Rural Hospitals
Do postoperative … Do postoperative complications vary by hospital teaching status?
-
digital.ahrq.gov/sites/default/files/ahrq-dhr-2023-year-in-review-at-a-glance.pdf
January 01, 2023 - Delivery
for Clinicians
Story Title Impact Statement Principal Investigator(s) Type
Improving Safety in Postoperative … Communication with
Telemedicine and Machine Learning
Research Investment: $1,996,227
Implementing a postoperative … HealthPartners Institute
Completed
https://digital.ahrq.gov/program-overview/research-stories/improving-safety-postoperative-handoff-communication-telemedicine … https://digital.ahrq.gov/program-overview/research-stories/improving-safety-postoperative-handoff-communication-telemedicine … https://digital.ahrq.gov/program-overview/research-stories/improving-safety-postoperative-handoff-communication-telemedicine
-
digital.ahrq.gov/sites/default/files/docs/clinical-care-qas-10142020.pdf
October 14, 2020 - Deep-learning model for
predicting 30-day postoperative mortality. … Using machine learning techniques to develop forecasting algorithms for postoperative
complications: … Deep-learning model for
predicting 30-day postoperative mortality. … Deep-learning model for predicting 30-day postoperative mortality. … Deep-learning model for predicting 30-day postoperative mortality.
-
digital.ahrq.gov/program-overview/research-stories/optimizing-care-delivery-for-clinicians
January 01, 2023 - Improving Safety in Postoperative Handoff Communication with Telemedicine and Machine Learning Implementing … a postoperative handoff intervention augmented with telemedicine and machine learning technologies will
-
digital.ahrq.gov/population/dentist
January 01, 2023 - Dentist
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
-
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.
-
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:
-
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.
-
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.
-
digital.ahrq.gov/principal-investigator/solberg-leif
February 27, 2024 - What's important: Postoperative care planning. … What's important: Postoperative care planning.
-
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.
-
digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/effect-computerized-reminder
May 01, 2004 - The effect of a computerized reminder system on the prevention of postoperative venous thromboembolism
-
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
-
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
-
digital.ahrq.gov/program-overview/impact-stories/improving-delivery-health-services
January 01, 2019 - Anesthesiology Control Tower: Like Air Traffic Control for Operating Rooms Using algorithms can predict postoperative
-
digital.ahrq.gov/type-care/multi-specialty-care
January 01, 2023 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
-
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
-
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
-
digital.ahrq.gov/principal-investigator/abraham-joanna
January 01, 2024 - and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative
-
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