Publications by authors named "Nikki Win"
Early detection of Alzheimer's disease (AD) is crucial to maximize clinical outcomes. Most disease progression analyses include people with diagnoses of cognitive impairment, limiting understanding of AD risk among those with normal cognition. The objective was to establish AD progression models through a deep learning approach to analyze heterogeneous, multi-modal datasets, including clustering analyses of population subsets.
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- The study investigates how teleneurology affects healthcare utilization (HCU) for patients with multiple sclerosis (MS) and clinically isolated syndrome (CIS) in the Cleveland/Akron area from July 2020 to July 2022.
- Findings show that patients using teleneurology had more visits but required fewer laboratory and MRI orders, indicating efficient use of healthcare resources.
- Despite the increased visit volumes, there was no rise in emergency care utilization, although higher emergency visits were noted among Black and Medicaid patients, highlighting a need for further research.
Background: During the COVID-19 pandemic, use of telemedicine (TM) increased dramatically, but it is unclear how use varies by characteristics of people with Alzheimer's disease (AD), multiple sclerosis (MS), or Parkinson's disease (PD).
Methods: This cross-sectional study used US PharMetrics Plus commercial claims data from January 1, 2019, to December 31, 2021. TM use (≥1 Current Procedural Terminology code) was assessed in each study year (2019, 2020, and 2021) among people with ≥1 inpatient or ≥2 outpatient diagnosis codes ≥30 days apart for AD, MS, or PD.