What You Should Know:
A recent survey conducted by Deloitte's Center for Health Solutions (Center) revealed a growing acceptance and optimism among consumers regarding the potential of Generative AI to revolutionize healthcare. Over half of the respondents (53%) believe that generative AI could improve access to healthcare, while 46% expressed confidence in its ability to make healthcare more affordable.
Generative AI: A Reliable Source of Information
The survey further
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Generative AI
Elsevier Health and OpenEvidence Partner to Unveil ClinicalKey AI
What You Should Know:
- Elsevier Health, a global leader in medical information and data analytics, has announced a strategic partnership with OpenEvidence, a company specializing in artificial intelligence for medicine, to develop ClinicalKey AI, a next-generation clinical decision support tool that combines the most recent and reputable evidence-based medical content with generative artificial intelligence (AI) to help physicians at the point of care.
- The vast amount of complex data
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Healthcare Embraces Generative AI: 70% of Organizations Actively Explore its Revenue Cycle Potential
What You Should Know:
- AKASA, a leading developer of AI-powered automation for the revenue cycle, released new survey results showing that more than 70 percent of healthcare organizations are actively considering the use of generative AI.
- In the same survey of more than 250 CFOs and financial leaders at health systems and hospitals across the U.S., nearly 60% percent of respondents indicated they are actively considering these new technologies for their revenue cycle
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Ambience AI Powers End-to-End Epic Integration at John Muir Health
What You Should Know:
- John Muir Health (JMH) and Ambience Healthcare have announced a collaboration to launch a generative AI platform that is fully integrated with Epic's electronic health record (EHR).
- The integration will enable Ambience's AI medical scribe and suite of generative AI products to read from and write information directly to Epic on behalf of and under the oversight of JMH clinicians.
AI Integration with Epic for Enhanced Clinician Experience
Clinicians at JMH
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MIT Spun Out Layer Health Launches with $4M to Build the AI Layer for Healthcare
What You Should Know:
- Layer Health, a healthcare AI company spun out of MIT, has been launched with $4M in funding from investors such as GV (Google Ventures), General Catalyst, and Inception Health.
- The company is focused on solving the information problem in healthcare by using AI to quickly perform any clinical, administrative, or research task that requires chart review from unstructured data.
Building the AI layer for healthcare — powered by large language models.
Layer
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Using Generative AI to Streamline Clinician Workflow and Reduce Burnout
Clinician stress rose significantly during the pandemic but has remained high even as COVID-19-related patient volumes and illness severity have subsided. In 2021, 62.8% of U.S. physicians exhibited burnout; this year, it is 62%.
Contributing factors include heavy patient loads, too many administrative tasks, and rising clinician shortages. Many physicians work 50 hours a week: seeing up to 20 patients a day, spending an average of 4.5 hours entering electronic health records (EHR
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Enterprise Health Launches GPT-Driven AI-Assistant for Occupational Health Solution
What You Should Know:
- Enterprise Health, a provider of occupational and employee health software solutions announced the launch of its new AI assistant, Wellby. The primary focus of Wellby is to improve the clinical user experience and complement clinical judgment.
- Wellby uses GPT technology based on the OpenAI HIPAA-compliant platform to automate time-consuming clerical tasks and provide improved clinical decision support.
Functionality Helps Clinicians Shift Focus Back to
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Generative AI Takes on Cardiology Care Gaps in Agamon Health and Mayo Clinic Collaboration
What You Should Know:
- Agamon Health, a healthcare technology company, is collaborating with Mayo Clinic to use Generative AI and workflow automation to improve patient adherence to follow-up in cardiology.
- Delayed or insufficient follow-up care for patients with valvular heart disease can have severe consequences, such as increased hospitalization, worsening heart failure, and death. Agamon Coordinate seeks to "close the loop" on follow-up recommendations and improve patient health
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Accenture, Salesforce Partner on Generative AI for Life Sciences Companies
What You Should Know:
- Accenture and Salesforce are investing in the development of Salesforce Life Sciences Cloud, focusing on innovation, assets, and accelerators powered by data and artificial intelligence (AI) to help life sciences companies create sustainable value and drive growth.
- Building on their generative AI collaboration, Accenture and Salesforce will leverage their joint generative AI acceleration hub to develop new solutions and use cases for Salesforce Life Sciences
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The Realistic Future of ChatGPT/AI in Healthcare
As the buzz around ChatGPT and generative-AI continues, it’s important for health leaders to look past their excitement around these new tools and remain committed to ensuring patient trust is a top priority. Consider that six out of every ten patients are reportedly uncomfortable with providers relying solely on AI for specific healthcare needs, and while ChatGPT may appear to provide impressive responses, there’s still room for error and data misinformation, which can result in patient
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