Steven Meyers

ORCID: 0000-0002-5207-6758
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About
Contact & Profiles
Research Areas
  • Migraine and Headache Studies
  • Clinical practice guidelines implementation
  • Stroke Rehabilitation and Recovery
  • Meta-analysis and systematic reviews
  • Schizophrenia research and treatment
  • Electronic Health Records Systems
  • Trigeminal Neuralgia and Treatments
  • Patient-Provider Communication in Healthcare
  • Genomics and Rare Diseases
  • Machine Learning in Healthcare
  • Mental Health Treatment and Access
  • Obstructive Sleep Apnea Research
  • Traumatic Brain Injury Research
  • Attention Deficit Hyperactivity Disorder
  • Oropharyngeal Anatomy and Pathologies
  • Cardiovascular Syncope and Autonomic Disorders
  • Health Systems, Economic Evaluations, Quality of Life
  • Epilepsy research and treatment
  • Nursing Diagnosis and Documentation
  • Palliative Care and End-of-Life Issues
  • Sleep and related disorders
  • Dementia and Cognitive Impairment Research
  • Restless Legs Syndrome Research
  • Statistical Methods in Clinical Trials
  • Hemispheric Asymmetry in Neuroscience

University of Chicago
2023-2025

NorthShore University HealthSystem
2015-2023

University of Cincinnati Medical Center
2019

Boston University
2019

Wake Forest University
2019

Cleveland Clinic
2019

Background/Objectives: Migraine is a common neurological disorder with highly variable characteristics. While genome-wide association studies have identified genetic risk factors that implicate underlying pathways, the influence of susceptibility on disease characteristics or treatment response incompletely understood. We examined relationships between previously developed standardized integrative migraine polygenic score (PRS) and in real-world, treated patient cohort. Methods: This...

10.3390/jcm14020536 article EN Journal of Clinical Medicine 2025-01-16

<h3>Abstract</h3> We describe quality improvement and practice-based research using the electronic medical record (EMR) in a community health system–based department of neurology. Our care transformation initiative targets 10 neurologic disorders (brain tumors, epilepsy, migraine, memory disorders, mild traumatic brain injury, multiple sclerosis, neuropathy, Parkinson disease, restless legs syndrome, stroke) (risk assessments interventions to prevent Alzheimer disease related targeted...

10.1212/cpj.0000000000000176 article EN cc-by-nc-nd Neurology Clinical Practice 2015-10-01

: Genome-wide association studies (GWASs) demonstrate a complex genetic landscape for migraine risk. Migraine polygenic risk scores (PRSs) developed from GWAS data may have utility predicting disease course. We analyzed the strength of between an integrative PRS and age at onset chronification.

10.3390/jcm13216483 article EN Journal of Clinical Medicine 2024-10-29

Abstract Objective To evaluate response to anti‐calcitonin gene–related peptide (CGRP) migraine preventives in a real‐world community cohort of persons living with and identify clinical genetic characteristics associated efficacious response. Background Erenumab‐aooeb, fremanezumab‐vrfm, galcanezumab‐gnlm target CGRP or its receptor; however, many patients are non‐responsive. Methods In this retrospective study, we identified 1077 adult who satisfied the International Classification Headache...

10.1111/head.14655 article EN cc-by-nc-nd Headache The Journal of Head and Face Pain 2023-12-10

Background Many physicians enter data into the electronic medical record (EMR) as unstructured free text and not discrete data, making it challenging to use for quality improvement or research initiatives. Objectives The objective of this paper was develop implement a structured clinical documentation support (SCDS) toolkit within EMR facilitate initiatives practice-based in multiple sclerosis (MS) practice. Methods We built customized toolkits capture standardized at office visits. Content...

10.1177/2055217318813736 article EN cc-by-nc Multiple Sclerosis Journal - Experimental Translational and Clinical 2018-10-01

To demonstrate the feasibility of pragmatic clinical trials comparing effectiveness treatments using electronic medical record (EMR) and an adaptive assignment design.We have designed are implementing at point-of-care custom-designed structured documentation support decision tools within our physician's typical EMR workflow. We applying a subgroup based design (SUBA) that enriches treatment assignments on baseline characteristics prior outcomes. SUBA uses information from randomization phase...

10.1093/jamiaopen/ooy017 article EN cc-by-nc JAMIA Open 2018-06-11

To use the electronic medical record (EMR) to optimize patient care, facilitate documentation, and support quality improvement practice-based research, in a headache specialty clinic.Many physicians enter data into EMR as unstructured free text not discrete data. This makes it challenging for or research initiatives.We describe process of building customized structured clinical documentation toolkit, specific patients seen clinic. The content was developed through frequent physician meetings...

10.1111/head.13348 article EN Headache The Journal of Head and Face Pain 2018-08-01

Neurologists are among the least satisfied physicians with their current electronic health record (EHR), many known pain points and great opportunities for improved tools workflows. Improved EHR functionality can have major implications patient care, physician efficiency, prevention of burnout. We describe advocacy American Academy Neurology usability resultant formation subsequent accomplishments a Subspecialty Steering Board at 1 vendor (Epic).

10.1212/cpj.0000000000000666 article EN Neurology Clinical Practice 2019-08-01

The electronic medical record (EMR) presents an opportunity to standardize patient data collection based on quality guidelines and conduct practice-based research. We describe the development of a customized EMR "toolkit" that standardizes with hundreds discrete fields supports Best Practices for treating patients memory disorders. toolkit also design successful implementation support in care discuss applications, including improvement projects current research initiatives, using toolkit....

10.3389/fneur.2019.00161 article EN cc-by Frontiers in Neurology 2019-03-07

We developed and implemented a structured clinical documentation support (SCDS) toolkit within the electronic medical record, to optimize patient care, facilitate documentation, capture data at office visits in sleep medicine/neurology clinic for care research collaboration internally with other centers.To build our SCDS toolkit, physicians met frequently develop content, define cohort, select outcome measures, delineate factors known modify disease progression. assigned tasks team mapped...

10.1186/s41606-019-0038-2 article EN cc-by Sleep Science and Practice 2020-01-02

Background and Purpose: Epilepsy patients are more likely to experience depressive symptoms cognitive impairment compared individuals in the general population.As reasons for this not definitively known, we sought determine what factors correlate most strongly with cognition a screening test depression epilepsy patients.Methods: Our study population included 379 adult diagnosed or seizure our neurology clinic.We collected detailed demographic clinical data during patient visits using...

10.14581/jer.19018 article EN Journal of Epilepsy Research 2019-12-30

10.1016/j.disamonth.2015.03.007 article EN Disease-a-Month 2015-04-05

Objective: To use the electronic medical record (EMR) to optimize patient care, facilitate documentation, and support quality improvement practice-based research in a concussion (mild traumatic brain injury; mTBI) clinic.Methods: We built customized structured clinical documentation (SCDS) toolkit for patients specialty clinic. The collected hundreds of fields discrete, standardized data. Autoscored interpreted score tests include Generalized Anxiety Disorder 7-item scale, Center...

10.1080/02699052.2019.1680867 article EN Brain Injury 2019-10-23

April 27, 2018April 10, 2018Free AccessA Neurology Practice Based Research Network for Quality Improvement and Using the EMR (S50.001)Kelly Simon, Payal Gupta, Laura Hillman, Christine Boutwell, Ihtsham Haq, Steven Meyers, Matthew Rizzo, James Wymer, Monika Szela, Roberta Frigerio, Demetrius MaraganoreAuthors Info & AffiliationsApril 2018 issue90 (15_supplement)https://doi.org/10.1212/WNL.90.15_supplement.S50.001 Letters to Editor

10.1212/wnl.90.15_supplement.s50.001 article EN Neurology 2018-04-10
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