Connected medical devices have many advantages but require a higher level of security. If the medical industry doesn’t improve its cybersecurity posture, it could endanger patient privacy and lives.
Taking these compliance challenges into account will allow healthcare organizations to prepare for compliance audits, but more importantly it will help institutions address issues that result in a negative patient outcome.
Artificial intelligence has numerous practical applications in diagnostic imaging; the key to making them work for clinicians and patients lies in developing and embracing integrated workflow networks.
Improving clinical trial equity can help close the gap between the challenges to enroll and retain patients in clinical trials and the growing burden of diseases. All in all, there are immense benefits to creating and providing remote technologies for clinical trial participants.
Before product developers can more confidently design RWE studies and venture away from the traditional path of lengthy prospective studies, industry must overcome several challenges. This article provides insight on these barriers and perspective on how industry might fully realize the promise of RWE in the near-term to advance health care.
Data analytics can provide a more streamlined view of your customers and simplify the complex challenges faced by medical device commercial operations teams.
Guidance includes information about what’s protected—and what is not—when using period trackers and other health information apps on smartphones.
AI can support device innovation and surgical training, but it requires data and collaboration.
Combining imaging technology with artificial intelligence can help address both challenges in healthcare disparities as well as in patient care.
How can AI become a beneficial medical device manufacturing technology? This article reviews some examples of how it excels.
