Background Considering the sequence of treatments is vital for optimising healthcare
resource allocation, especially in cancer care, where sequence changes can affect patients' …

Electronic health record (EHR)‐derived real‐world data (RWD) can be sourced to create
external comparator cohorts to oncology clinical trials. This exploratory study assessed …

With an ever-increasing number of treatment options, the assessment of treatment
sequences has become crucial in health technology assessment (HTA). This review …

Introduction Due to the limitations of relying on randomised controlled trials, the potential
benefits of real-world data (RWD) in enriching evidence for health technology assessment …

Legislative and technological advancements over the past decade have given rise to the
proliferation of healthcare data generated from routine clinical practice, often referred to as …

Objectives This study aims to identify how real-world data (RWD) have been used in single
technology appraisals (STAs) of cancer drugs by the National Institute for Health and Care …

Evidence about the relative effects of new treatments is typically collected in randomised
controlled trials (RCTs). In many instances, evidence from RCTs falls short of the needs of …

Objectives The EHR4CR 4-year research partnership between the European Union and the
European Federation of Pharmaceutical Industries and Associations (EFPIA) has developed …

In this review, we summarize the challenges faced by existing oncology treatment sequence
decision models and introduce a general framework to conceptualize such models. In the …

The new discipline of 'real-world data science'has emerged over recent years. Expert
practitioners in this embryonic field are finding their feet, not just in terms of role and remit …