Publications by authors named "M Topaz"
Introduction: Older adults are a heterogeneous group, and their care experience preferences are likely to be diverse and individualized. Thus, the aim of this study was to identify categories of older adults' care experience preferences and to examine similarities and differences across different age groups.
Methods: The initial categories of older adults' care experience preferences were identified through a qualitative review of narrative text (n = 3134) in the ADVault data set.
Objectives: Home health care (HHC) serves more than 5 million older adults annually in the United States, aiming to prevent unnecessary hospitalizations and emergency department (ED) visits. Despite efforts, up to 25% of patients in HHC experience these adverse events. The underutilization of clinical notes, aggregated data approaches, and potential demographic biases have limited previous HHC risk prediction models.
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- Mild cognitive impairment and early-stage dementia are often underdiagnosed, leading to increased healthcare costs; this study aims to address this gap by using patient-nurse conversations recorded in home healthcare settings to develop an AI tool for early detection of cognitive decline.
- The research involved analyzing audio from conversations of 47 patients, identifying key linguistic features related to cognitive decline, and comparing the effectiveness of a speech processing algorithm to traditional electronic health record data.
- Results showed that the combined approach of using verbal communication and EHR data significantly outperformed either method alone, highlighting that certain speech patterns can predict cognitive decline, thus potentially improving patient care and reducing emergency healthcare visits.