AdaptHealth is investigating a material cyberattack after attackers used a social engineering scheme to compromise a third-party contractor’s account, stealing patient data from its cloud-based systems as reports link the breach to the ShinyHunters extortion group, though the attribution remains unconfirmed.
MTI Viewpoints Insights shared by industry relative to healthcare and the advancement of medical technology. Jaimon Jose, senior director of engineering and compliance at CharmHealth, is a software architect and technical leader with more than 18 years of product development experience in the areas of identity and security technologies, distributed systems, cloud security, and data…
MTI Viewpoints Insights shared by industry relative to healthcare and the advancement of medical technology. Peter Justen is Founder and CEO of AmeriTrust Solutions. He works at the intersection of technology, data, and human-centered design to improve access to government programs and streamline administrative processes. Hospitals and health systems make real-time decisions about patient care,…
No longer a horizon technology, Artificial Intelligence in healthcare has reached a level of real-world performance that makes clinical value demonstrable at a critical time in healthcare – a time of clinician shortages, backlogs, and rising costs that have made access to treatment a challenge.
Protect patient data with medical IoT security. Learn how AI, Zero Trust, and encryption can prevent cyber threats and secure healthcare IoT devices.
A long-overdue push to reduce administrative friction, improve access to patient data, and move the system away from workflows that continue to waste time for both patients and providers.
Traditionally, contract negotiation has been viewed as a financial or legal responsibility, typically led by finance teams, legal counsel, or executive leadership, with operations stepping in afterward to execute against decisions that have already been made, but that model is evolving as healthcare delivery becomes more interconnected and operationally complex, requiring administrators to engage earlier in the process, not only to understand what is being agreed to but to help define how those agreements will function in real-world environments.
As organizations introduce additional technologies, including AI-enabled tools and CRM platforms, these gaps become more pronounced. Those that are seeing meaningful improvements are taking an end-to-end view, evaluating how systems interact within a unified workflow and ensuring that data flows seamlessly and actions are triggered in a coordinated manner, thereby reducing the need for manual intervention and follow-up.
In this part 2 of a 4-part series, Melissa highlight how the moment AI begins to influence decisions or workflows, it is operating within a regulated environment. Aligning with documentation standards, keeping data within established pathways, and ensuring actions are consistently recorded are all ways to support that reality early, rather than adapting to it later. Seen this way, integration is not just a technical milestone.
Human factors engineering plays a critical role in the design of AI-enabled medical devices and whether they might improve care or introduce new risks.
