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  1. digital.ahrq.gov/type-care/surgery
    January 01, 2023 - Surgery Scalable Digital Communication Intervention to Support Older … Adults and Care Partners Transitioning Home After Major Surgery Description This research … (myPOSH) mobile application that supports care transitions and the needs of older adults undergoing surgery … Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation
  2. digital.ahrq.gov/technology/surgery-management-system
    January 01, 2023 - Surgery Management System Evaluating success.
  3. digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients
    January 01, 2023 - Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Project … surgery. … The NLP algorithm identified patients with upcoming appointments as possible candidates for surgery. … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients - Final Report.
  4. digital.ahrq.gov/ahrq-funded-projects/scalable-digital-communication-intervention-support-older-adults-and-care
    January 01, 2024 - Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery … Publications Creating a mobile application to support care transitions for older adults after surgery … Population Caregiver Clinical Staff/Clinician Elderly Surgeon Type of Care Surgery … After surgery, these patients often experience functional decline, anxiety, sleep disturbance, and loss … The study team will interview up to 30 older adults undergoing major surgery and their care partners,
  5. digital.ahrq.gov/ahrq-funded-projects/scalable-digital-communication-intervention-support-older-adults-and-care/citation/digital
    January 01, 2024 - communication intervention to support older adults and their care partners transitioning home after major surgery … communication intervention to support older adults and their care partners transitioning home after major surgery … Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery
  6. digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/citation/mining
    January 01, 2023 - patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery … patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery … Project Name Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery
  7. digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/incoming-web-tracking
    May 15, 2006 - Settings:  Massachusetts General Hospital operating room and PACU Intervention:  Compared three groups: a generalsurgery intervention group using the system, an orthopedic surgery control group without the system, … and a general surgery control group without the system Evaluation Method:  mean length of stay in the … Strategy:  System was piloted on the general surgery and surgical overflow services beginning in December … surgery control group and an increase of 9.1 to 11.7% for the orthopedic surgery control group.
  8. digital.ahrq.gov/ahrq-funded-projects/tjr-guru-mobile-app-shared-informed-decisionmaking-total-joint-replacement/final-report
    January 01, 2023 - TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery - Final … TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery - Final … Project Name TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery
  9. digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/final-report
    January 01, 2023 - Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients - Final Report … Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients - Final Report. … Project Name Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Technology
  10. digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute
    January 01, 2023 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation … To address this, the research team developed a predictive model of last-minute surgery cancellations … Identify key predictors of last-minute cancellation of surgery from the electronic health record (EHR … Establish a scalable, last-minute surgery cancellation prediction system.  … Early identification of last-minute surgery cancellations, with timely intervention, can provide new
  11. digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/final-report
    January 01, 2023 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation … Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation … Project Name Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery
  12. digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/early
    January 01, 2023 - Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Project Name Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Technology
  13. digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/automated
    January 01, 2023 - Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled … Project Name Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Technology
  14. digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/prospective
    January 01, 2023 - of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery … of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery … Project Name Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Technology
  15. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report.pdf
    August 30, 2019 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation … Last-minute surgery cancellation wastes resources and inconveniences patients. … cancellation rates in German university hospitals than in community hospitals, and also more cancellations in general … NPO violation is more likely when surgery is scheduled later in the day. … Reducing Cancelations on the Day of Scheduled Surgery at a Children's Hospital.
  16. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report-2019.pdf
    January 01, 2019 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation … Last-minute surgery cancellation wastes resources and inconveniences patients. … cancellation rates in German university hospitals than in community hospitals, and also more cancellations in general … NPO violation is more likely when surgery is scheduled later in the day. … Reducing Cancelations on the Day of Scheduled Surgery at a Children's Hospital.
  17. digital.ahrq.gov/2020-year-review/research-summary/anesthesiology-control-tower-air-traffic-control-operating-rooms
    January 01, 2020 - : Like Air Traffic Control for Operating Rooms Using algorithms for real-time monitoring during surgery … is common, but still risky Surgery is a big insult to the human body. … An estimated 10 to 20 percent of patients who undergo major inpatient surgery experience major complications … How can we leverage all the data that are collected during surgery—vital signs, heart rate, blood pressure … , temperature, fluid administered, drugs given—to predict potential outcomes during surgery in a way
  18. digital.ahrq.gov/ahrq-funded-projects/patient-centered-postoperative-wound-surveillance-using-current-technology/citation/predictors
    January 01, 2023 - Predictors of surgical site infection after hospital discharge in patients undergoing major vascular surgery … Predictors of surgical site infection after hospital discharge in patients undergoing major vascular surgery
  19. digital.ahrq.gov/ahrq-funded-projects/preventing-perioperative-medication-errors-and-adverse-drug-events-through-use/citation/patient
    January 01, 2023 - Patient harm in cataract surgery: A series of adverse events in Massachusetts. … Patient harm in cataract surgery: A series of adverse events in Massachusetts.
  20. digital.ahrq.gov/ahrq-funded-projects/patient-centered-postoperative-wound-surveillance-using-current-technology/citation/inter-rater
    January 01, 2023 - agreement and checklist validation for postoperative wound assessment using smartphone images in vascular surgery … agreement and checklist validation for postoperative wound assessment using smartphone images in vascular surgery

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