Sickle Cell Disease Patient/Provider Match Tool

Sickle cell disease (SCD) affects approximately 7.7 million individuals worldwide, primarily within the regions of Sub-Saharan Africa, and claims an estimated 376,000 lives a year from related complications. Despite its prevalence, SCD is underfunded and under-researched due to perceived unprofitability in the healthcare industry. Consequently, patients frequently encounter difficulties in finding expert providers and often receive sub-optimal treatment. To address this issue, we propose a patient-physician match tool specifically designed for SCD. This tool, provided as a mobile application, leverages machine learning to understand the clinical and behavioral situation of the patient and recommend physicians or providers who excel on various quality measures that fit the patient’s specific needs.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/ihtc61819.2024.10855129
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
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article

Sickle Cell Disease Patient/Provider Match Tool

Yunhyuk Chang, Sasan Haghani, J. Kim, John Canevari et al.
Hemoglobinopathies and Related Disorders
article

Sickle Cell Disease Patient/Provider Match Tool

Yunhyuk Chang, Sasan Haghani, J. Kim, John Canevari, Zhiyuan Li, Jiangtao Liang
article en

Abstract

Sickle cell disease (SCD) affects approximately 7.7 million individuals worldwide, primarily within the regions of Sub-Saharan Africa, and claims an estimated 376,000 lives a year from related complications. Despite its prevalence, SCD is underfunded and under-researched due to perceived unprofitability in the healthcare industry. Consequently, patients frequently encounter difficulties in finding expert providers and often receive sub-optimal treatment. To address this issue, we propose a patient-physician match tool specifically designed for SCD. This tool, provided as a mobile application, leverages machine learning to understand the clinical and behavioral situation of the patient and recommend physicians or providers who excel on various quality measures that fit the patient’s specific needs.

Rutgers, The State University of New Jersey (US), Novo Nordisk (United States) (US)
Openalex Percentile: Top 54%
Hemoglobinopathies and Related Disorders
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Sickle Cell Disease Patient/Provider Match Tool — Yunhyuk Chang, Sasan Haghani, et al. · (2024) | TGRS Research Map | TGRS