Ecosystem of Patient-Centered Research and Information System Design

Author:

Hsueh Pei-Yun Sabrina

Publisher

Springer International Publishing

Reference84 articles.

1. American Society of Clinical Oncology (ASCO). Testing the use of Food and Drug Administration (FDA) approved drugs that target a specific abnormality in a tumor gene in people with advanced stage cancer (TAPUR). NCT02693535. First posted 2016; Last update posted 2022.

2. Agency for Healthcare Research and Quality (AHRQ). Developing design principles to integrate patient-reported outcomes (PROs) into clinical practice through health information technology: data, user experience, and workflow requirements for PRO dashboards | Digital Healthcare Research. (n.d.). Retrieved May 8, 2021, https://digital.ahrq.gov/ahrq-funded-projects/developing-design-principles-integrate-patient-reported-outcomes-pros-clinical

3. FDA. Proposed regulatory framework for modifications to artificial intelligence/machine learning (AI/ML)-based software as a medical device (SaMD)-discussion paper and request for feedback (2019). Retrieved Aug 16, 2021, https://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm514737.pdf

4. Dickson B, et al. Algorithmic bias detection and mitigation: best practices and policies to reduce consumer harms. Brookings Institute, 2020. Retrieved Aug 29, 2021, https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/

5. Artificial Intelligence and Machine Learning in Software as a Medical Device | FDA. (n.d.). Retrieved July 16, 2019, https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device

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