AI Articles and Analysis about "Clinical support

A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is, assistance with clinical decision-making tasks.

AI Opportunities for
Life Sciences R&D-1
"Clinical support
Healthcare
Automation and robotics
Pharma
Business intelligence and analytics
Claim management
Compliance
Customer analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Discovery
Drug discovery
Enterprise resource planning
Generative AI
Large Language Models
Large language models
Marketing and advertising
Predictive analytics and forecasting
Research and development
Risk management

AI Opportunities for Life Sciences R&D – with Andrew Bolt of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Automation and Beyond
for Sales and Marketing
in Life Sciences-1
"Clinical support
Healthcare
Case management
Pharma
Case management
Claim management
Claim management
Customer analytics
Customer service
Emotion recognition
Enterprise resource planning
Generative AI
Market segmentation
Marketing and advertising
Marketing automation
model development

Automation and Beyond for Sales and Marketing in Life Sciences – with Mark Miller of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
AI at athenahealth@2x
"Clinical support
Healthcare
Automation and robotics
Healthcare services
Business intelligence and analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Document processing
Generative AI
Knowledge management
Large language models
Natural Language Processing
Report generation
Search engine

Artificial Intelligence at athenahealth

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.
Improving Patient Experiences in Health Insurance Workflows@1x
"Clinical support
Alert messaging
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large language models
Large Language Models
Predictive analytics and forecasting
Process automation
Report generation
Search engine

Improving Patient Experiences in Health Insurance Workflows – with Shane Bray and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Claim management
Compliance
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Knowledge management
Large Language Models
model development
Predictive analytics and forecasting
Report generation

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.
The Impact of AI on Drug Target Discovery and the Personalization of Healthcare – with Leo Barella of Takeda@2x-min
"Clinical support
Case management
Claim management
Claim management
Customer analytics
Customer service
Data analysis
Data collection
Data management
Enterprise resource planning
Predictive analytics and forecasting

The Impact of AI on Drug Target Discovery and the Personalization of Healthcare – with Leo Barella of Takeda

AI has profound implications for drug discovery, ushering in a new era of innovation and efficiency. Recent milestones - such as the first AI-designed drug molecule to enter human clinical trials and the prediction of protein structures for millions of proteins - showcase the transformative power of AI in this domain.
The Future of Patient Experiences in Healthcare – with Dr. Nele Jessel of Athenahealth@2x
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Customer analytics
Data analysis
Emergency management
Logistics
Predictive analytics and forecasting

The Future of Patient Experience in Healthcare – with Dr. Nele Jessel of Athenahealth

The healthcare industry has experienced several changes in recent decades. The Health Insurance Portability and Accountability Act (HIPAA), signed into law in 1996, represents one such change. HIPAA was initially intended to simplify how healthcare is administered. However, the law also contributed to the increased administrative burden for healthcare practitioners.