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Total Results: 367 records

Showing results for "surgeries".

21. A digital communication intervention to support older adults and their care partners transitioning home after major surgery: Protocol for a qualitative research study. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/scalable-digital-communication-intervention-support-older-adults-and-care/citation/digital
    January 01, 2024 - A digital communication intervention to support older adults and their care partners transitioning home after major surgery: Protocol for a qualitative research study. Citation Campos BA, Cummins E, Sonnay Y, Brindle ME, Cauley CE. A digital communication intervention to support older adults and their…

22. Pratap, Jayant | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/pratap-jayant
    January 01, 2023 - Pratap, Jayant Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Citation Liu L, Ni Y, Zhang N, Nick Pratap J. Mining patient-specific and contextual data with machine learning technologies to predict …

23. Epilepsy | Digital Healthcare Research
    digital.ahrq.gov/medical-condition/epilepsy
    January 01, 2023 - Epilepsy Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Citation Wissel BD, Greiner HM, Glauser TA, Mangano FT, Holland-Bouley KD, Zhang N, Szczesniak RD, Santel D, Pestian JP, Dexheimer JW. Automated, machine learn…

24. 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 - The Anesthesiology Control Tower: Like Air Traffic Control for Operating Rooms Using algorithms for real-time monitoring during surgery can predict and prevent adverse outcomes, leading to better outcomes for patients. Principal Investigator: Avidan, Michael Organization: Washington University…

25. Brindle, Mary E. | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/brindle-mary-e
    January 01, 2024 - Brindle, Mary E. A digital communication intervention to support older adults and their care partners transitioning home after major surgery: Protocol for a qualitative research study. Citation Campos BA, Cummins E, Sonnay Y, Brindle ME, Cauley CE. A digital communication inte…

26. Bitton, Asaf | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/bitton-asaf
    January 01, 2024 - Bitton, Asaf A digital communication intervention to support older adults and their care partners transitioning home after major surgery: Protocol for a qualitative research study. Citation Campos BA, Cummins E, Sonnay Y, Brindle ME, Cauley CE. A digital communication interven…

27. Telemedicine in surgery | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
    digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/telemedicine-surgery
    January 01, 2003 - Telemedicine in surgery Authors:  Eadie LH, Seifalian AM, Davidson BR Journal:  Br J Surg Publication Date:  2003 Volume:  90 Issue:  6 Pages:  647-58 HIT Description:  Various types of HIT systems used in surgery  More info... Purpose of Study:  Review the published literature on the use of telemedicine i…

28. Tulu, Bengisu | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/tulu-bengisu
    January 01, 2023 - Tulu, Bengisu TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery - Final Report Citation Tulu, B. TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery - Final Report. (Prepared by Worcester Polyt…

29. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/citation/mining
    January 01, 2023 - Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Citation Liu L, Ni Y, Zhang N, Nick Pratap J. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int …

30. TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery - Final Report | Digital Healthcare Research
    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 Report Citation Tulu, B. TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery - Final Report. (Prepared by Worcester Polytechnic Institute under Grant No. R21 HS…

31. Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients - Final Report | Digital Healthcare Research
    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 Citation Dexheimer J. Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024977). Rockville, MD…

32. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report | Digital Healthcare Research
    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 - Final Report Citation Pratap J. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report. (Prepared by Cincinnati Children's Hospi…

33. INCOMING!--A web tracking application for PACU and post-surgical patients | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
    digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/incoming-web-tracking
    May 15, 2006 - INCOMING!--A web tracking application for PACU and post-surgical patients Authors:  Meyer, M. A., Sokal, S. M., Sandberg, W., Chang, Y., Daily, B., Berger, D. L. Journal:  J Surg Res Publication Date:  2006 May 15 Volume:  132 Issue:  2 Pages:  153-8 HIT Description:  Decision support  More info... Purpose…

34. Optimizing the Value of PROMs in Improving Care Delivery through Health Information Technology (PROMOTE) – Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r18hs025618-solberg-final-report-2023.pdf
    January 01, 2023 - completed a total hip or knee replacement surgery between January 2019 and March 2020, among the 2400 TKA surgeries … ), there were frequent periods of significant reductions in outpatient surgery volumes as elective surgeries … Because our analyses were focused on elective surgeries 10 PROMOTE Study - Final Report 2023 (

35. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/prospective
    January 01, 2023 - Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. Citation Wissel BD, Greiner HM, Glauser TA, Holland-Bouley KD, Mangano FT, Santel D, Faist R, Zhang N, Pestian JP, Szczesniak RD, Dexheimer JW. Prospective validation of a…

36. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. | Digital Healthcare Research
    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. Citation Wissel BD, Greiner HM, Glauser TA, Pestian JP, Kemme AJ, Santel D, Ficker DM, Mangano FT, Szczesniak RD, Dexheimer JW. Early identification of epilepsy surgery candidates: A multicenter, machine learni…

37. Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. | Digital Healthcare Research
    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 trial. Citation Wissel BD, Greiner HM, Glauser TA, Mangano FT, Holland-Bouley KD, Zhang N, Szczesniak RD, Santel D, Pestian JP, Dexheimer JW. Automated, machine learning-based alerts increase epilepsy…

38. Optimal Methods for Notifying Clinicians about Epilepsy Surgery Patients - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs024977-dexheimer-final-report-2018.pdf
    January 01, 2018 - Optimal Methods for Notifying Clinicians about Epilepsy Surgery Patients - Final Report Final Report Project Title: Optimal Methods for Notifying Clinicians about Epilepsy Surgery Patients Principal Investigator: Judith…

39. Neurologic Disease | Digital Healthcare Research
    digital.ahrq.gov/medical-condition/neurologic-disease
    January 01, 2024 - Neurologic Disease School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services (STARS) for Children with Special Health Care Needs Living in Rural and Underserved Communities - Final Report Citation Marcin J. School-Based Tele-Physiatry Assistance for Re…

40. Incorporating Patient-Reported Outcomes into Shared Decision Making with Patients with Osteoarthritis of the Knee - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs027037-bozic-final-report-2024.pdf
    January 01, 2024 - Medical Arts & Research Center This clinic has 1 orthopaedist who performs the vast majority of the TKR surgeries