Even the most groundbreaking drugs rarely reach their full commercial potential because of adoption friction: the structural and logistical realities that slow or limit their integration into health systems. Achieving a successful pharma product launch is difficult; 1 in 2 new drugs fail to meet launch forecasts. The emergence of the first treatments for MASH serves as a key case study, illustrating how diagnostic gaps, workforce shortages, and fragmented care create friction that leads to delayed or limited uptake. To maximise commercial success and ensure new products perform on launch expectations, companies must identify, characterise, and overcome the specific systemic barriers in key markets.

Large Language Models (LLMs) are reshaping healthcare, but how do we ensure they work safely and reliably for clinicians? Traditional trials are too slow and costly for digital health's rapid cycles, while early testing doesn't prove clinical validity. Clinical simulation offers a promising way forward, putting these tools in clinicians' hands, in realistic scenarios, to test their real-world performance. We believe this methodology should become a core part of how we validate LLM-based technologies before they reach clinical settings.

Discover how AI workforce solutions transform revenue cycle management. Learn 3 key metrics to measure ROI and boost healthcare financial performance.

Prova Health’s Capability Building work is central to our mission of improving health for all by supporting innovation. We sat down with Dr Des Conroy, our recently-appointed Head of Capability Building, to learn more about his and Prova’s journey to this point, and what’s to come.

US healthcare reimbursement is complex. Understanding the ecosystem is critical to navigate routes to market for digital health solutions.

Trust is a core factor influencing the adoption of AI in healthcare. Vital to fostering this trust is robust evidence.

A new white paper in development by Prova Health aims to clarify the evidence required for AI solutions in healthcare.

Clinicians expect sufficient regulation and robust validation of AI-based medical devices. There remains a need for clear, AI-specific...

Remote monitoring and wearables are promising solutions, which need evidence showing value for patients, clinicians and healthcare systems.

Optimising reimbursement models for digital health solutions is critical for improving the quality of solutions on the market, and boosting

Generating evidence for digital health solutions is a challenge. Novel approaches such as simulation, RWE and platform trials can help.

Prova Health conducted an evaluation of Accurx's Self-Book product. This article shares some of the lessons we learned in the process.

A new white paper by Roche Information Solutions and Prova Health offers solutions on how to improve evidence standards and reimbursement...

Most digital solutions lack evidence, but more than ever innovators must show value to patients, clinicians, health systems and investors.