- Philips announced it is expanding its strategic collaboration with Amazon Web Services (AWS) to offer its integrated diagnostics portfolio in the cloud.
- The strategic partnership aims to unify diagnostic workflows, improve access to critical insights, and drive better outcomes across clinical specialties.
Cloud-Powered Diagnostic Solutions
Philips is leveraging AWS's cloud infrastructure to deliver scalable and reliable healthcare informatics solutions. By migrating
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Trustwise and Partners Develop MedAssist GPT: AI-Powered Medical Education Platform
What You Should Know:
- Trustwise, an innovator in AI performance and risk management, has collaborated with Health Innovation Kent Surrey Sussex (Health Innovation KSS), Hitachi Digital Services, and Further to co-develop MedAssist GPT, a generative AI application for medical education that leverages NVIDIA NIM microservices.
- The application equips UK medical students with real-time, personalized evidence-based clinical guidance. Integrating more than 700 National Institute for Health
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Abridge, Cambridge Health Alliance Partner to Enhance Multilingual Care with AI
What You Should Know:
- Abridge, a provider of generative AI for healthcare, has partnered with Cambridge Health Alliance (CHA) to improve clinical documentation and enhance communication with diverse patient populations.
- The collaboration will empower CHA's clinicians with Abridge's AI-powered platform, which offers industry-leading multilingual capabilities.
Addressing Language Barriers in Healthcare
Language barriers can significantly impact patient care, leading to
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Google Launches Health AI Developer Foundations (HAI-DEF) to Accelerate Healthcare AI Development
What You Should Know:
- Google has introduced Health AI Developer Foundations (HAI-DEF), a public resource designed to empower developers in building and implementing AI models for healthcare more efficiently.
- The initiative aims to democratize AI development in the healthcare sector, fostering innovation and improving patient care.
Addressing Challenges in Healthcare AI Development
Developing AI for healthcare presents unique challenges:
Data Requirements: Large,
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Teladoc Health Enhances Virtual Sitter Solution with AI to Improve Patient Safety and Efficiency
What You Should Know:
- Teladoc Health has announced the launch of new AI-powered capabilities for its Virtual Sitter solution.
- Virtual Sitter aims to enhance patient safety, address workforce challenges, and improve care delivery for hospitals and health systems.
Addressing the Challenge of Patient Falls with AI-Powered Fall Prevention
Patient falls are a significant concern in hospitals, leading to injuries, increased healthcare costs, and strain on resources. Teladoc
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Healthcare as a Right: How AI is Shaping Global Access
The World Health Organization estimates that by 2030, the world will face a shortage of approximately 10 million healthcare workers globally if health systems do not make significant changes. This looming crisis threatens to leave millions without accessible, quality care, potentially leading to devastating consequences for individuals and communities worldwide. Luckily, AI tools are providing innovative solutions to this issue in a variety of ways that can alleviate the administrative burden on
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VA Award Medtronic Contract to Deploy AI-Powered Endoscopy Units Nationwide
What You Should Know:
- Medtronic today announced that the U.S. Department of Veterans Affairs (VA) has awarded a three-year contract for the deployment of nearly 100 additional GI Genius™ AI-powered endoscopy units across VA medical centers nationwide.
- The expansion aims to provide veterans with access to state-of-the-art colorectal cancer screening technology.
Improving Colorectal Cancer Screening for Veterans
Colorectal cancer is a significant health concern,
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Cofactor AI Nabs $4M to Combat Hospital Claim Denials with AI
What You Should Know:
- Hospitals across the country are facing an ever-increasing onslaught of claims denials from insurance companies, with denials up 20.2% in 2023, according to the American Hospital Association. These denials – triggered by AI and often error-prone – cost hospitals $20 billion a year in administrative bloat and reduce patients’ access to quality care.
- To help hospitals fight back, Cofactor AI today introduced a new first-of-its-kind AI-powered
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Smartphone AI Facial Scans May Help Detect Sleep Disorders, Stanford Study Finds
What You Should Know:
- Researchers at Stanford University, in collaboration with SoundHealth, have conducted a pioneering study exploring the use of smartphone facial scans and AI to analyze facial structures linked to sleep disorders.
- The approach offers the potential for earlier and more accessible screening of conditions like insomnia and obstructive sleep apnea (OSA).
Non-invasive Screening with Smartphones
Traditionally, identifying physical traits associated with
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Bed Shortages: How AI Can Help Reduce Length of Stay in Hospitals
Length of stay management in acute care facilities represents a critical frontier for providers and payers to improve their own bottom lines, and also improve patients’ experience with the healthcare system.
Let’s take a closer look at how today’s systemic inefficiencies arose, and how collaboration within provider networks, and between payers and providers, might improve length-of-stay procedures and inefficiencies in the future.
Acute care facility bed shortages, and how they
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