Neurologic Disease | Digital Healthcare Research

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 learning study. Acta Neurol Scand. 2021 Jul;144(1):41-50. doi: 10.1111/ane.13418. Epub 2021 Mar 26. PMID: 33769560; PMCID: PMC8178229.

Principal Investigator

Dexheimer, Judith W.

Project Name

Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

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: Agency for Healthcare Research and Quality, 2018.

Principal Investigator

Dexheimer, Judith W.

Project Name

Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

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.

Principal Investigator

Melnick, Edward

Project Name

Clinical Decision Support for Mild Traumatic Brain Injury

Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers

Description

This project will evaluate the integration into clinical care of CareHeroes, an application to support caregivers of those with Alzheimer’s disease.

Grant Number

R21 HS026571

Principal Investigator(s)

Ruggiano, Nicole

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.

Principal Investigator

Fiks, Alexander

Project Name

National Center for Pediatric Practice-Based Research and Learning

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. Ann Emerg Med 2018 Jan;71(1):54-63.e2. Epub 2017 Jul 21. PMID: 28739290.

Principal Investigator

Melnick, Edward

Project Name

Clinical Decision Support for Mild Traumatic Brain Injury

School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services for Children with Special Health Care Needs Living in Rural and Underserved Communities

Description

This project will determine the impact of using telemedicine to serve children with special healthcare needs living in rural and underserved communities.

Grant Number

R01 HS025714

Principal Investigator(s)

Marcin, James

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):815-21. PMID: 25022724.

Principal Investigator

Carroll, Aaron

Project Name

Computer Automated Developmental Surveillance and Screening

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.

Grant Number

R21 HS024977

Principal Investigator(s)

Dexheimer, Judith W.

Using the Electronic Medical Record to Identify and Screen Patients at Risk for Delirium

Description

This project informed Stage 3 Meaningful Use requirements by evaluating metrics related to identification of delirium in real time and improving accuracy of the problem list, thus potentially improving care for patients with delirium.

Grant Number

R18 HS022666

Principal Investigator(s)

Weckmann, Michelle