Results

Total Results: 313 records

Showing results for "surgeries".

21. 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…

22. 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 …

23. 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…

24. 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…

25. 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…

26. 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…

27. 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…

28. 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…

29. 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…

30. 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 (

31. 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…

32. Patient harm in cataract surgery: A series of adverse events in Massachusetts. | Digital Healthcare Research
    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. Citation Roberto SA, Bayes J, Karner PE, Morley MG, Nanji KC. Patient harm in cataract surgery: A series of adverse events in Massachusetts. Anesth Analg. 2018 May;126(5):1548-1550. doi: 10.1213/ANE.0000000000002526. PMID: …

33. Predictors of surgical site infection after hospital discharge in patients undergoing major vascular surgery. | Digital Healthcare Research
    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. Citation Wiseman JT, Fernandes-Taylor S, Barnes ML, et al. Predictors of surgical site infection after hospital discharge in patients undergoing major vascular surgery. J Vasc Surg 2015;62(4)…

34. Inter-rater agreement and checklist validation for postoperative wound assessment using smartphone images in vascular surgery. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/patient-centered-postoperative-wound-surveillance-using-current-technology/citation/inter-rater
    January 01, 2023 - Inter-rater agreement and checklist validation for postoperative wound assessment using smartphone images in vascular surgery. Citation Wiseman JT, Fernandes-Taylor S, Gunter R, et al. Inter-rater agreement and checklist validation for postoperative wound assessment using smartphone images in vascular…

35. Neurologic Disease | Digital Healthcare Research
    digital.ahrq.gov/medical-condition/neurologic-disease
    January 01, 2025 - Neurologic Disease An evidence-based IT program with chatbot to support caregiving and clinical care for people with dementia: The CareHeroes development and usability pilot. Citation Ruggiano N, Brown EL, Clarke PJ, Hristidis V, Roberts L, Framil Suarez CV, Allala SC, Hurley …

36. Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society for Vascular Surgery Vascular Registry. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/leveraging-health-information-technology-avoid-unnecessary-asymptomatic-carotid-revascularization/citation-3
    January 01, 2023 - Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society for Vascular Surgery Vascular Registry. Citation Jim J, Dillavou ED, Upchurch GR Jr, et al. Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society fo…

37. Interactive tools for inpatient medication tracking: a multi-phase study with cardiothoracic surgery patients. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/addressing-hospital-patient-information-needs-using-personal-health-record/citation-2
    January 01, 2023 - Interactive tools for inpatient medication tracking: a multi-phase study with cardiothoracic surgery patients. Citation Wilcox L, Woollen J, Prey J, et al. Interactive tools for inpatient medication tracking: a multi-phase study with cardiothoracic surgery patients. J Am Med Inform Assoc 2016 Jan;23(1…

38. Preventing adverse events in cataract surgery: recommendations from a Massachusetts expert panel. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/preventing-perioperative-medication-errors-and-adverse-drug-events-through-use/citation/preventing
    January 01, 2023 - Preventing adverse events in cataract surgery: recommendations from a Massachusetts expert panel. Citation Nanji KC, Roberto SA, Morley MG, et al. Preventing adverse events in cataract surgery: recommendations from a Massachusetts expert panel. Anesth Analg 2017 Oct 4. doi: 10.1213/ANE.00000000000025…

39. What outcomes matter to patients after joint or spine surgery? | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimizing-value-patient-reported-outcome-measures-improving-care-delivery/citation/outcomes
    January 01, 2023 - What outcomes matter to patients after joint or spine surgery? Citation Whitebird RR, Solberg LI, Norton CK, Ziegenfuss JY, Asche SE, Grossman ES. What outcomes matter to patients after joint or spine surgery? J Patient Cent Res Rev. 2020 Apr 27;7(2):157-164. doi: 10.17294/2330-0698.1738. PMID: 323775…

40. Cincinnati Children's Hospital Medical Center | Digital Healthcare Research
    digital.ahrq.gov/organization/cincinnati-childrens-hospital-medical-center
    January 01, 2023 - Cincinnati Children's Hospital Medical Center Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients Description This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy. Gr…