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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 |
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author | Singh, Rani H. Brown, Sheereen J. Hale, Piper M. Narlow, Kristen Gurung, Saran Salvatore, Mary L. Tchamako, Jimica K. |
author_facet | Singh, Rani H. Brown, Sheereen J. Hale, Piper M. Narlow, Kristen Gurung, Saran Salvatore, Mary L. Tchamako, Jimica K. |
author_sort | Singh, Rani H. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8781221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer Health, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87812212022-01-21 Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening Singh, Rani H. Brown, Sheereen J. Hale, Piper M. Narlow, Kristen Gurung, Saran Salvatore, Mary L. Tchamako, Jimica K. J Public Health Manag Pract Research Reports 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. Wolters Kluwer Health, Inc. 2022-03 2020-11-16 /pmc/articles/PMC8781221/ /pubmed/33208722 http://dx.doi.org/10.1097/PHH.0000000000001250 Text en © 2020 The Authors. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/) (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Reports Singh, Rani H. Brown, Sheereen J. Hale, Piper M. Narlow, Kristen Gurung, Saran Salvatore, Mary L. Tchamako, Jimica K. Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening |
title | Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening |
title_full | Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening |
title_fullStr | Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening |
title_full_unstemmed | Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening |
title_short | Using Informatics to Build a Digital Health Footprint of Patients Living With Inherited Metabolic Disorders Identified by Newborn Screening |
title_sort | using informatics to build a digital health footprint of patients living with inherited metabolic disorders identified by newborn screening |
topic | Research Reports |
url | 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 |
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