HEOR/RWE

Randomized clinical trials are the gold standard of evidence to support decision-making and the development of clinical practice recommendations. Yet, by design, they typically assess a drug’s safety and efficacy on a narrow patient population with pre-defined treatment strategies and over a short time horizon. Real-world data (RWD)-based simulations allow us to extend the insights already ...

The 21st century has brought about significant technological advancement, allowing the collection of new types of data from the real world on an unprecedented scale. The healthcare industry will benefit immensely from this abundance of patient data from electronic health records (EHRs), patient-reported outcomes (PROs), laboratory, demographic, social media, digital, and even climate data. While ...

Real world evidence (RWE) has traditionally been leveraged to inform predominantly product development decisions, payer contracts, and health economic and outcome research (HEOR) studies. There is now an increased emphasis on leveraging RWE across a broader range of business functions given the industry shift towards specialty drugs and the treatment of rare diseases. Now with more outcomes-based ...

No long-term “solution” on drug pricing has emerged gaining broad consensus among public policy officials and politicians, patient advocacy groups, medical and health service researchers, biopharma industry representatives, and healthcare professionals. However, the “quick and easy fix” option of price controls invariably comes up. While this option is publicly appealing, the question is what (if ...

There has been an immense improvement of theory and algorithms in recent times leading to enhancement in computation power. Also, online data availability was never easier than now. As a result, machine learning techniques have become more popular in solving real world problems. There are a number of machine learning techniques available now for continuous as well as categorical target events. K ...