89% of KLAS-surveyed customers use Xsolis’ AI technology to minimize preventable denials.
FHIR (Fast Healthcare Interoperability Resources) is an open standard designed to streamline data sharing within national healthcare systems and across systems in different countries. Its introduction aims to bring more consistency to patient care, ensuring that no matter where healthcare professionals (HCPs) are located, they can access the same up-to-date information on medications and their patients.
This silent crisis has dire consequences. Patients face delays, errors increase and the entire system suffers. This cannot continue. But in the face of such crippling challenges, how can healthcare practices look to improve the interoperability of their systems?
AI and real-time data enhance care efficiency and access. And with healthcare workers in short supply, the rapid advancements in AI, IoMT, and related innovation offer patient access freedom, enhanced care delivery, and better outcomes.
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.
This blog explores the transformative potential of AI assistants in healthcare management and delves into the benefits for providers, medical assistants, and obviously, patients.
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.
The use of artificial intelligence in medical device design is already transforming health care. In this article we look at areas of greatest promise as well as the challenges that must be addressed to realize the promise of AI in device design and engineering.
Unified communication systems can improve staff efficiency, while enhancing patient outcomes and staff and patient safety.
The blueprint includes opportunities for various healthcare stakeholders to contribute to the full optimization of digitally enabled care and includes case examples featuring organizations with care models that leverage the blueprint’s six pillars.
