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Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices
Autoinjectable devices continue to provide real-life benefits for patients with chronic conditions since their widespread adoption 30 years ago with the rise of macromolecules. Nonetheless, issues surrounding adherence, patient administration techniques, disease self-management, and data outcomes at...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088878/ https://www.ncbi.nlm.nih.gov/pubmed/33621188 http://dx.doi.org/10.2196/25406 |
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author | Rafiei, Ramin Williams, Chelsea Jiang, Jeannette Aungst, Timothy Dy Durrer, Matthias Tran, Dao Howald, Ralph |
author_facet | Rafiei, Ramin Williams, Chelsea Jiang, Jeannette Aungst, Timothy Dy Durrer, Matthias Tran, Dao Howald, Ralph |
author_sort | Rafiei, Ramin |
collection | PubMed |
description | Autoinjectable devices continue to provide real-life benefits for patients with chronic conditions since their widespread adoption 30 years ago with the rise of macromolecules. Nonetheless, issues surrounding adherence, patient administration techniques, disease self-management, and data outcomes at scale persist despite product design innovation. The interface of drug device combination products and digital health technologies formulates a value proposition for next-generation autoinjectable devices to power the delivery of precision care at home and achieve the full potential of biologics. Success will largely be dependent on biopharma’s digital health maturity to implement this framework. This viewpoint measures the digital health maturity of the top 15 biopharmaceutical companies in the US biologics autoinjector market and establishes the framework for next-generation autoinjectable devices powering home-based precision care and the need for formal digital health training. |
format | Online Article Text |
id | pubmed-8088878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80888782021-05-07 Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices Rafiei, Ramin Williams, Chelsea Jiang, Jeannette Aungst, Timothy Dy Durrer, Matthias Tran, Dao Howald, Ralph JMIR Mhealth Uhealth Viewpoint Autoinjectable devices continue to provide real-life benefits for patients with chronic conditions since their widespread adoption 30 years ago with the rise of macromolecules. Nonetheless, issues surrounding adherence, patient administration techniques, disease self-management, and data outcomes at scale persist despite product design innovation. The interface of drug device combination products and digital health technologies formulates a value proposition for next-generation autoinjectable devices to power the delivery of precision care at home and achieve the full potential of biologics. Success will largely be dependent on biopharma’s digital health maturity to implement this framework. This viewpoint measures the digital health maturity of the top 15 biopharmaceutical companies in the US biologics autoinjector market and establishes the framework for next-generation autoinjectable devices powering home-based precision care and the need for formal digital health training. JMIR Publications 2021-03-18 /pmc/articles/PMC8088878/ /pubmed/33621188 http://dx.doi.org/10.2196/25406 Text en ©Ramin Rafiei, Chelsea Williams, Jeannette Jiang, Timothy Dy Aungst, Matthias Durrer, Dao Tran, Ralph Howald. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 18.03.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Rafiei, Ramin Williams, Chelsea Jiang, Jeannette Aungst, Timothy Dy Durrer, Matthias Tran, Dao Howald, Ralph Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices |
title | Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices |
title_full | Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices |
title_fullStr | Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices |
title_full_unstemmed | Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices |
title_short | Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices |
title_sort | digital health integration assessment and maturity of the united states biopharmaceutical industry: forces driving the next generation of connected autoinjectable devices |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088878/ https://www.ncbi.nlm.nih.gov/pubmed/33621188 http://dx.doi.org/10.2196/25406 |
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