Health equity can provide equal opportunity for patients to achieve the best care possible. Medtech leaders from Boston Scientific, Sequel Med Tech, and ZEISS Medical Technology share how healthcare delivery, data transparency, and industry collaboration can provide more value to patients.
The value-based care model, with a substantial monetary budget, necessitates on-time and correct risk stratification. As a result, new and incumbent care providers and payers are reinventing healthcare delivery, looking towards cutting-edge GenAI and machine learning technology to radically transform the healthcare delivery paradigm. This article explores how GenAI and machine learning-based risk stratification are revolutionizing a new era of personalized care, resulting in improved healthcare functions for payers and providers.
The new equity guide provides implementation steps to help developers and users implement the AHRQ Digital Healthcare Equity Framework to ensure new technologies ameliorate, rather than exacerbate, inequities in health care.
Use of the affected Impella pumps may cause serious adverse health consequences, including left ventricle perforation or free wall rupture, hypertension, lack of blood flow, and death. To date, there have been 129 reported serious injuries, including 49 reports of death.
A review paper from the Agency for Healthcare Research and Quality supports the benefits of computerized clinical decision support systems (CDSS) in reducing medication errors and adverse drug events, but also uncovered risks and unintended consequences that must be addressed to improve patient safety and implementation of next generation systems.
The pilot program launched by Baxter International and Northwestern Medicine in Chicago resulted in the recycling of more than 170,000 IV bags. Baxter is now working to expand the program in the Chicago area to further validate the process and economic viability of the program.
Even AI models trained on general medical literature will have difficulty making sense of the nuances specific to primary care, which is full of unique jargon, abbreviations and other idiosyncrasies. As always, the proverbial devil is in the details. Any AI solution worth its salt must be fluent in the specific idioms of the field and empower clinicians to deliver the best care that they can.
A recent survey by the AMA showed that practicing physicians are equally excited and concerned about the increased use of AI in health care, with enthusiasm for technologies that reduce administrative burden and enhance diagnostic ability and concern for patient privacy, liability and erosion of the patient-physician relationship.
Megan Coder, Vice President for Product and Policy at the Digital Medicine Society (DiMe), discusses the society’s new project aimed at researching global regulations for digital health to create a foundation for approval and patient access that can cut across regions.
Augmented reality (AR), with the help of artificial intelligence (AI), is providing healthcare professionals with the means to offer patients an unprecedented level of care and personalized treatments, and assisting MedTech and life sciences companies in product design and development. Yet, the potential of AR with AI in health care is still far from fully explored.
