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Viewpoints and Perspectives (514)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24824, first published .
The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking

The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking

The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking

Authors of this article:

William J Gordon1, 2, 3 Author Orcid Image ;   Kenneth D Mandl3, 4 Author Orcid Image
Article Authors Cited by (15) Tweetations (34) Metrics

Journals

  1. Taxter A, Natter M. Using the Electronic Health Record to Enhance Care in Pediatric Rheumatology. Rheumatic Disease Clinics of North America 2022;48(1):245 View
  2. Sanchez-Pinto L, Sauthier M, Rajapreyar P, Brunow de Carvalho W, Jouvet P, Newth C. Leveraging Clinical Informatics and Data Science to Improve Care and Facilitate Research in Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference. Pediatric Critical Care Medicine 2023;24(Supplement 1 2S):S1 View
  3. Wang P, Li T, Yu L, Zhou L, Yan T. Towards an effective framework for integrating patient-reported outcomes in electronic health records. DIGITAL HEALTH 2022;8:205520762211121 View
  4. Klonoff A, Lee W, Xu N, Nguyen K, DuBord A, Kerr D. Six Digital Health Technologies That Will Transform Diabetes. Journal of Diabetes Science and Technology 2023;17(1):239 View
  5. Chaparro J, Beus J, Dziorny A, Hagedorn P, Hernandez S, Kandaswamy S, Kirkendall E, McCoy A, Muthu N, Orenstein E. Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts. Applied Clinical Informatics 2022;13(03):560 View
  6. Sanchez-Pinto L, Bhavani S, Atreya M, Sinha P. Leveraging Data Science and Novel Technologies to Develop and Implement Precision Medicine Strategies in Critical Care. Critical Care Clinics 2023;39(4):627 View
  7. Botsis T, Murray J, Ghanem P, Balan A, Kernagis A, Hardart K, He T, Spiker J, Kreimeyer K, Tao J, Baras A, Yegnasubramanian S, Canzoniero J, Anagnostou V, Pratilas C, Xian R, Gocke C, Lin M, Halper-Stromberg E, Zou Y, Olayinka-Kamson D, Schreck K, Grossman S, Fiallos K, Petry D, Visvanathan K, Wolff A, Santa-Maria C, Nunez R, Meyer C, Laterra J, Sterns V, Smith K, Armstrong D, Karchin R, Karaindrou K, Zandi L, Majcherska-Agrawal M, Too F, Dobs A, Moore J, Pindzola A, Akunyili I, Fatteh M, Lehman J. Precision Oncology Core Data Model to Support Clinical Genomics Decision Making. JCO Clinical Cancer Informatics 2023;(7) View
  8. Yudkin J, Messiah S, Allicock M, Barlow S. Integration of e-Health Strategies for Post-COVID-19 Pandemic Pediatric Weight Management Programs. Telemedicine and e-Health 2024;30(2):321 View
  9. Corbin C, Maclay R, Acharya A, Mony S, Punnathanam S, Thapa R, Kotecha N, Shah N, Chen J. DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. Journal of the American Medical Informatics Association 2023;30(9):1532 View
  10. Mandl K, Gottlieb D, Mandel J. Integration of AI in healthcare requires an interoperable digital data ecosystem. Nature Medicine 2024;30(3):631 View
  11. Sabirova R, Korgan B, Adiyetova E, Auyezova K, Yerniyazova Z, Kanatova A. Development of the innovation system infrastructure of Kazakhstan in the context of the knowledge-intensive economy. Scientific Herald of Uzhhorod University Series Physics 2024;(55):244 View
  12. Kalidindi V, Rehana S, Seethamraju S, Nori L. Revolutionizing Medicine: Unleashing the Power of Real-World Data and AI in Advancing Clinical Trials. Brazilian Journal of Pharmaceutical Sciences 2024;60 View
  13. Dolin R, Heale B, Chamala S. Genomics Clinical Decision Support with Fast Healthcare Interoperability Resources Genomics Operations. Advances in Molecular Pathology 2024;7(1):113 View

Books/Policy Documents

  1. Hersh W. Clinical Informatics Study Guide. View