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Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening.
- Source :
-
Journal of public health management and practice : JPHMP [J Public Health Manag Pract] 2022 Mar-Apr 01; Vol. 28 (2), pp. E340-E344. - Publication Year :
- 2022
-
Abstract
- 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.<br />Competing Interests: The authors declare no conflicts of interest.<br /> (Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc.)
- Subjects :
- Humans
Infant, Newborn
Informatics
Metabolic Diseases diagnosis
Neonatal Screening
Subjects
Details
- Language :
- English
- ISSN :
- 1550-5022
- Volume :
- 28
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of public health management and practice : JPHMP
- Publication Type :
- Academic Journal
- Accession number :
- 33208722
- Full Text :
- https://doi.org/10.1097/PHH.0000000000001250