The chronic, progressive presentation of COPD, symptom overlap, and nature of patient self-reporting make it hard to identify exacerbations. We need more specific guidelines around, as well as tools for, assessing a patient’s progression from day to day. AI-supported diagnostic systems represent a potential breakthrough technology that could help us overcome significant knowledge gaps.
Rama Chellappa, PhD, John Hopkins University Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, and co-author of “Can We Trust AI?” looks at the promise of AI in health care and how we can best utilize this extraordinary tool to save lives and improve health equity.
Connected sensors are a key component to improving patient access to and patient retention in clinical trials. Following are considerations for developers and sponsors when designing and selecting sensors for use in trials.
Digital transformation requires a clear vision, buy-in at every level, and significant investment. Here are three steps to streamline the process.
Microbatteries are on the cusp of a new era as solid-state lithium technology arrives to pack more energy into smaller form factors. These batteries will enable the products they power to be offered in smaller sizes and more comfortable shapes, with enormous implications for future medtech product designs and capabilities, from the convergence of hearables and OTC hearing aids to wearable devices that are used for remote health monitoring and fitness tracking.
Companies must have the right data infrastructure in place to help them determine what their customers want, when they want it and how they want to receive it. One of the most critical elements of this success is connected intelligence, which provides a full view of customer needs and expectations to everyone in the organization.
As data, rather than document-based dossiers, become the focus for regulatory processes, regulatory affairs managers need to consider whether team skill sets need to be refreshed to reflect new ways of working.
The competition will explore the feasibility, resources and infrastructure needed to integrate real-world healthcare system data into AHRQ’s systematic review findings to improve healthcare practice. The top award winner could earn up to $200,000.
Inspecting for quality after a process is completed is reactive and outdated. Instead, the future lies in predicting quality and quality issues. For medical device manufacturers, the advantages in predictive quality are so great they simply cannot be ignored.
The reality of biased data is becoming all too clear, which raises important questions for clinicians as well as device and drug developers. In a world full of biased data what are the most ethical practices to achieve equitable health care?
