Published on in Vol 9, No 3 (2021): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/25406, first published
.
![Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices](https://asset.jmir.pub/assets/f0c2ef4971a7c0f11fa3d5af22564ffa.png 480w,https://asset.jmir.pub/assets/f0c2ef4971a7c0f11fa3d5af22564ffa.png 960w,https://asset.jmir.pub/assets/f0c2ef4971a7c0f11fa3d5af22564ffa.png 1920w,https://asset.jmir.pub/assets/f0c2ef4971a7c0f11fa3d5af22564ffa.png 2500w)
Journals
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- Liaw S, Godinho M. Digital health and capability maturity models—a critical thematic review and conceptual synthesis of the literature. Journal of the American Medical Informatics Association 2023;30(2):393 View
- Saxena S, Godfrey T. India’s Opportunity to Address Human Resource Challenges in Healthcare. Cureus 2023 View
- Biskupiak Z, Ha V, Rohaj A, Bulaj G. Digital Therapeutics for Improving Effectiveness of Pharmaceutical Drugs and Biological Products: Preclinical and Clinical Studies Supporting Development of Drug + Digital Combination Therapies for Chronic Diseases. Journal of Clinical Medicine 2024;13(2):403 View
- Machal M. Risks and benefits associated with the primary functions of artificial intelligence powered autoinjectors. Frontiers in Medical Technology 2024;6 View
Books/Policy Documents
- Valenzuela-Vallejo L. Translational Sports Medicine. View