New & Notable
How an FQHC is using ambient AI to reduce clinician burden
Neighborhood Healthcare expanded ambient AI technology across its clinics after a successful pilot where the tool helped reduce clinical documentation burden.
Machine learning model predicts pediatric adverse events
New research reveals that a machine learning model outperformed other risk stratification models to accurately identify high-risk pediatric patients across hospital units.
AI in healthcare: A guide to improving patient care with AI
AI is permeating critical healthcare practices, from interpreting mammograms to discovering life-saving drugs, while surgically transforming hospital workflows.
4 top use cases for agentic AI in healthcare
Agentic AI can ease burnout for clinicians by helping with scheduling, documentation and engaging with patients.
Insights
Insights is research conducted by and for TechTarget Xtelligent Healthcare. Our work aims to leverage Xtelligent’s diverse readership of healthcare professionals across various sectors of the industry to understand real-world challenges and identify effective solutions.
Access All Reports
Sponsored Sites
-
Specialty Drug Management
Optum Specialty Fusion
At Optum, we’re evolving health care so everyone can have the opportunity to live their healthiest life. It’s why we put your unique needs at the heart of everything we do, making it easy and affordable to manage health and well-being. Together, for better health.
-
Cloud
Oracle Healthcare
Oracle Health is building an open healthcare platform with intelligent tools for data-driven, human-centric healthcare experiences to connect consumers, healthcare providers, payers, and public health and life sciences organizations.
-
Revenue Cycle Management
Brault
Brault is a revenue cycle and practice management organization that partners with hospitals and independent physician groups. Their intelligent practice solutions include coding and billing, MIPS optimization, provider documentation training, and practice management.
Healthcare Strategies: A Podcast
-
A podcast for healthcare professionals seeking solutions to today's and tomorrow's top challenges. Hosted by the editors of Xtelligent Healthcare Media, this podcast series focuses on real-world use cases that are leading to tangible improvements in care quality, outcomes, and cost.
Guests from leading provider, payer, government, and other organizations share their approaches to transforming healthcare in a meaningful and lasting way.
View All Episodes
Latest News
-
Cleveland Clinic, Oracle, G42 to launch health AI platform
Through a strategic partnership, the three organizations will combine health AI systems, AI infrastructure capabilities and clinical expertise to enhance treatments and outcomes.
-
AI model boosts delirium detection rate in hospitals
Research shows that using a new AI model resulted in a four-fold increase in the rate of delirium detection among hospitalized patients, enhancing delirium treatment.
-
Ambient AI's impact on clinician experience varies
A new analysis of ambient AI technology use shows that it helps improve clinician experience, but some clinicians, like primary care physicians, may like it more than others.
-
AI algorithm determines probability of heart condition
New research shows that calibrating the scores of an AI algorithm can help clinicians identify and triage high-risk hypertrophic cardiomyopathy patients.
-
AI model estimates heart failure from single-lead ECGs
Researchers have created an AI model that uses single-lead ECGs to predict the risk of heart failure, which could provide a new risk-stratification strategy for the disease.
-
Survey: Gen AI in healthcare gains momentum across sectors
New survey data show that gen AI in healthcare continues to gain traction across sectors as leaders prioritize administrative efficiency.
Features
-
AI and HIPAA compliance: How to navigate major risks
Balancing AI deployments with HIPAA compliance can be fraught with numerous risks. The first step is awareness, and the second step is to follow best practices to avoid pitfalls.
-
Understanding GenAI's sociodemographic bias in healthcare
Amid GenAI's growing popularity in healthcare, a new study highlights the sociodemographic-based biases of the models, urging clinical oversight.
-
AI and the future of genomics
AI genomics' speed and accuracy in drug target discovery, disease modeling and detection, and gene therapy hold promise for delivering personalized, precise medicine to patients.
-
The cost of AI in healthcare explained: Is it worth it?
AI projects incur obvious deployment costs as well as hidden costs such as change management. Tech adopters must consider the total cost of ownership when weighing AI use cases.