AI-generated simulations can standardize diversity in exposure by creating virtual patients from varied backgrounds, each with unique risk factors and life experiences.
The future of healthcare will be one where technology doesn't just serve the industry but genuinely improves the lives of individuals, transforming how we interact with medical data, healthcare providers, and our personal well-being.
When it comes to managing inbound phone calls, underperformance has devastating cost implications.
AI can be a highly effective tool for plans aiming to reduce fraud, waste and abuse, but only if it is combined with investigative intelligence.
AI-assisted software development can help teams achieve faster delivery, lower costs, and higher-quality results – all key to meeting patients' and providers' digital health expectations.
It’s time to replace this system with one that works for patients and invites disruption. We need to put control back in the hands of patients, allowing them to own their health records, make independent decisions, and switch to fair and transparent alternatives.
LLMs, with their remarkable conversational abilities, are uniquely positioned to help solve this crisis. But as with the dotcom boom before it, the surge of AI 'therapists' has created a turbulent landscape where separating legitimate innovation from dangerous shortcuts isn't straightforward.
A new report from Relatient, A Data-Driven Guide to Patient Access Succes, highlights how focusing on data accuracy and relevance can enhance the performance of healthcare practices.
Implementing patient flow technology ultimately enhances operational efficiency and improves the overall patient experience, making it essential for healthcare organizations aiming for better outcomes, improved capacity management, and greater financial stability.
The MedTech industry has demonstrated remarkable resilience in navigating uncertainty, and 2025 promises to be a pivotal year as the election supercycle concludes and AI regulatory frameworks become clearer.
There are a number of important ways AI will impact patients, providers and pharmacies in the coming year. They break down into three key areas.
Tech-enabled services with humans in the loop are vital components to healthcare organizations’ overall prosperity. Here are three tools that every RCM leader needs in their toolkit when approaching automation.
Join us on February 26 at 3 pm ET, and we’ll dive into the key areas where practices are losing time and money and provide solutions to overcome them.
With technology advancements specifically in the field of AI, there is a clear line of sight in making it mainstream. Here are some of the ways AI is helping to accelerate the adoption of PM.
AI solutions baked into the EHR experience could radically transform the clinical effectiveness of physicians by leveraging the richness of the longitudinal patient record, while also creating efficiencies that give them back more time to care and create more revenue.
Contrary to fears of clinician replacement, AI’s near-term potential lies in complementing human expertise, particularly by handling behind-the-scenes tasks that improve efficiency and precision. Here’s where we might see the most impact.
AI/big data haven't solved healthcare's challenges. Despite advancements, systemic barriers persist, but AI offers potential to improve outcomes and efficiency.
Combining AI-driven insights with tailored care pathways, patients gain access to health coaches, psychologists, and treatment plans, while providers benefit from workflow optimization.