Author
Resource allocation algorithms have received less regulatory attention than clinical decision-making algorithms, but nevertheless pose similar concerns.
Medical associations, health systems, and policymakers must work together to identify and remove racist algorithms from clinical practice.
Individual algorithm explanations will likely do little to build trust among health care AI users.
The Biden administration should work with Congress to add clearer nondiscrimination protections to the ACA.
The rapid deployment of COVID-19 predictive models may have a lasting impact on the oversight of health care AI.
Resource-strapped hospitals require significant government support to address the growing threat of ransomware.
It’s time to require sexual orientation and gender identity data collection in electronic health records nationwide.
The challenges of completing real-world performance review should not slow the FDA’s plans to regulate clinical algorithms.
Dinerstein v. Google demonstrates gaps in HIPAA protections and the difficulty of pursuing claims against hospitals that share patient data with tech.
Telehealth can reduce barriers to care, such as lack of access to transportation, culturally-competent providers, and childcare.
