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Total Results: 99 records

Showing results for "neurological".

1. 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…

2. Patterson V et al. 2004 "Email triage of new neurological outpatient referrals from general practice." | Digital Healthcare Research
   digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/patterson-v-et-al-2004
   January 01, 2004 - Patterson V et al. 2004 "Email triage of new neurological outpatient referrals from general practice. … Email triage of new neurological outpatient referrals from general practice. … Seventy six consecutive patients with neurological symptoms from nine GPs [general practitioners], for … The GPs all used e-mail and "all agreed to refer all their patients with neurological symptoms requiring

3. 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 - Purpose: To prospectively evaluate a machine learning algorithm in identifying epilepsy candidates for neurological … Purpose To prospectively evaluate a machine learning algorithm in identifying epilepsy candidates for neurological … Pediatrics Epilepsy is a neurologic disorder characterized by seizures.16 It is one of the leading neurological … future Health IT research and drive successful implementations of NLP and ideal alerting mechanisms in neurological

4. Errors in Paramedic Endotracheal Intubation (pdf file)
   digital.ahrq.gov/sites/default/files/docs/page/2006Wang_051611comp.pdf
   January 01, 2006 - .  Paramedic ETI associated with poorer neurological outcome. … BVM, n=830  “No difference in survival”  “No difference in neurological outcome.

5. A Decision Support Tool for the Discontinuation of Disease Modifying Therapies in Multiple Sclerosis | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/decision-support-tool-discontinuation-disease-modifying-therapies-multiple
   August 01, 2023 - growing evidence to support DMT discontinuation in some individuals, there is a lack of consensus from neurological

6. Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients
   January 01, 2023 - Health Care Theme Chronic Disease Management Epilepsy is one of the leading neurological

7. Clinical Decision Support Toolkit: Pediatric Documentation Templates (pdf file)
   digital.ahrq.gov/sites/default/files/docs/page/peds_templates_weight_counsel_final.pdf
   June 26, 2008 - Extremity No deformity with full range of motion Neurological Age appropriate reflexes present.

8. Telemedicine for acute stroke: when virtual is as good as reality. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/valuation-primary-care-integrated-telehealth/citation/telemedicine-acute-stroke
   January 01, 2023 - Telemedicine for acute stroke: when virtual is as good as reality. Citation Levine SR, McConnochie KM. Telemedicine for acute stroke: when virtual is as good as reality. Neurology 2007 Aug 28;69(9):819-20. Link Levine SR, McConnochie KM. Telemedicine for acute stroke: when virtual is as go… …

9. Scanning Record (pdf file)
   digital.ahrq.gov/sites/default/files/docs/workflowtoolkit/Log_Scanning_Record_of.pdf
   April 30, 2013 - Scanning Record Scanning Record of Date Time Items Scanned/Pages 7:00 8:00 9:00 10:00 11:00 Upstate Neurology Consultants LLP. Scanning Record. New York. 12:00 1:00 2:00 3:00 4:00

10. Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/use
    January 01, 2023 - Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. Citation Carroll AE, Bauer NS, Dugan TM, et al. Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. JAMA Pediatr 2014 Sep;168(9):815-…

11. Changing patterns of alpha agonist medication use in children and adolescents 2009-2011. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/national-center-pediatric-practice-based-research-and-learning/citation/changing
    January 01, 2023 - Changing patterns of alpha agonist medication use in children and adolescents 2009-2011. Citation Fiks AG, Mayne SL, Song L, et al. Changing patterns of alpha agonist medication use in children and adolescents 2009-2011. J Child Adolesc Psychopharmacol 2015 May;25(4):362-7. PMID: 25919708. Link …

12. Harnessing Health Information Technology to Prevent Medication-Induced Birth Defects - 2011 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-prevent-medication-induced-birth/annual-summary/2011
    January 01, 2011 - 150,000 infants-1-3 percent of all births in the United States- are born with some form of physical or neurological

13. Implementation of the Canadian CT head rule and Its association with use of computed tomography among patients with head injury. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/clinical-decision-support-mild-traumatic-brain-injury/citation/implementation
    January 01, 2023 - Implementation of the Canadian CT head rule and Its association with use of computed tomography among patients with head injury. Citation Sharp AL, Huang BZ, Tang T, et al. Implementation of the Canadian CT head rule and Its association with use of computed tomography among patients with head injury. …

14. Clinical Decision Support for Mild Traumatic Brain Injury - Final Report | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/clinical-decision-support-mild-traumatic-brain-injury/final-report
    January 01, 2023 - Clinical Decision Support for Mild Traumatic Brain Injury - Final Report Citation Melnick, E. Clinical Decision Support for Mild Traumatic Brain Injury - Final Report. (Prepared by Yale University under Grant No. K08 HS021271). Rockville, MD: Agency for Healthcare Research and Quality, 2018. P…

15. 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…

16. Parent, physician, and therapist experience of in-person, hybrid, and all-virtual models of physiatry care for children with special healthcare needs. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/school-based-tele-physiatry-assistance-rehabilitative-and-therapeutic-services/citation/physician
    January 01, 2024 - Parent, physician, and therapist experience of in-person, hybrid, and all-virtual models of physiatry care for children with special healthcare needs. Citation Haynes SC, Davidson L, Tancredi DJ, Burns RD, Garrison SL, Marcin JP. Parent, physician, and therapist experience of in-person, hybrid, and al…

17. Ambulatory Surgical Center | Digital Healthcare Research
    digital.ahrq.gov/care-setting/ambulatory-surgical-center
    January 01, 2023 - Ambulatory Surgical Center Scaling and Spreading Electronic Capture of Patient-Reported Outcomes Leveraging a National Surgical Quality Improvement Program Description This project demonstrated that the large-scale electronic collection of patient-reported outcome measures in …

18. 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…

19. 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…

20. Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers - Final Report | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/examining-clinical-workflow-and-outcomes-integrating-health-information/final-report
    January 01, 2023 - Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers - Final Report Citation Ruggiano N. Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers …