Aidoc

OCTOBER 21, 2024

While its potential to revolutionize patient care is undeniable (and increasingly being proven ), healthcare leaders remain acutely aware of the risks involved with implementation. 2,3,4 Each framework offers unique guidance tailored to specific aspects of AI risk management. Clinical AI represents a paradox.

Government 52

Government Risk Management Public Health Healthcare 52

Aidoc

OCTOBER 13, 2024

healthcare systems, experienced a ransomware attack that took its IT network offline, disrupting patient care in 15 states. This presents a classic risk-reward challenge: while data is the foundation for AI’s capabilities, it simultaneously introduces considerable cybersecurity vulnerabilities.

Healthcare 80

Healthcare Healthcare IT Quality and Compliance 80

Aidoc

FEBRUARY 15, 2024

We have a perfect storm of rapid adoption and implementation alongside government mandates for data codification and interoperability. The Maturation and Regulation of AI As outlined above, the rapid adoption and implementation of healthcare AI necessitates governance. What is the impact that we anticipate now and moving forward?

Healthcare 52

Healthcare Healthcare Government Risk Management 52

Aidoc

JANUARY 15, 2025

While AI offers tremendous potential to improve data management and streamline patient care, the technology also introduces a variety of risks that must be carefully addressed at every stage of the adoption process from strategy and integration to change management and governance. Have additional questions?

Government 52

Government Quality and Compliance Risk Management Patient Care 52

Aidoc

DECEMBER 15, 2024

While not specific to the unique needs of healthcare, AIME emphasizes key areas such as data governance, model validation and monitoring that are essential practices in effective clinical AI governance. and GDPR in the EU.

Healthcare 52

Healthcare Healthcare Government Risk Management 52

Aidoc

NOVEMBER 25, 2024

Risk management frameworks become invaluable here, serving as the operational foundation that healthcare providers and administrators can rely on to safeguard patient data. Guidance frameworks like the NIST AI Risk Management Framework (AI RMF) and ISO/IEC 23894 provide actionable guidance to identify and mitigate risks.

Risk Management 52

Risk Management Government Health IT Healthcare 52