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Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening
Newborn screening is a process identifying people with inherited metabolic disorders (IMDs) at birth, but these patients are often lost to follow-up, and limited data on their long-term needs are available to advocate for policies that will help this vulnerable community. Using informatics best prac...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781221/ https://www.ncbi.nlm.nih.gov/pubmed/33208722 http://dx.doi.org/10.1097/PHH.0000000000001250 |
Sumario: | Newborn screening is a process identifying people with inherited metabolic disorders (IMDs) at birth, but these patients are often lost to follow-up, and limited data on their long-term needs are available to advocate for policies that will help this vulnerable community. Using informatics best practices, the Medical Nutrition Therapy for Prevention (MNT4P) program and the Public Health Informatics Institute successfully deployed a minimally viable product—that is, the most basic working version that is scalable—allowing for lifelong patient follow-up and outcome and needs tracking, and that can address national data gaps. The new system offers a HIPAA-compliant, efficient record-keeping system that allows data standardization and harmonization. MNT4P staff have transitioned completely away from former manual processes and are relying on this system to log and track patient information. Other programs serving patient populations burdened with rare, marginalized diseases also may benefit from this work. |
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