{"id":87073,"date":"2019-09-20T00:40:18","date_gmt":"2019-09-20T04:40:18","guid":{"rendered":"https:\/\/decisionresourcesgroup.com\/?p=24912"},"modified":"2024-11-01T12:48:34","modified_gmt":"2024-11-01T12:48:34","slug":"tracing-the-treatment-journey-using-real-world-data","status":"publish","type":"post","link":"https:\/\/clarivate.com\/life-sciences-healthcare\/blog\/tracing-the-treatment-journey-using-real-world-data\/","title":{"rendered":"Tracing the Treatment Journey Using Real-World Data"},"content":{"rendered":"

Like the pharmaceutical industry as a whole, the market research and business intelligence functions within have experienced a tremendous transformation over the years\u2014and continue to change. With increasing pressure on resources, heightened competition, and growing complexity of the market landscape, market researchers and the teams the support often need to do more with less, deliver faster, and\u2014importantly\u2014keep up with the rapidly evolving research methodologies and data sources. This has necessitated a continuous adaptation and even greater need for translation and synthesis of data and analyses from a growing list of sources\u2014a tall order indeed!<\/p>\n

For decades, market research professionals have relied heavily on quantitative physician surveys and chart audits for\u00a0uncovering treatment patterns and prescribing trends across patient segments, in order to inform commercialization decisions. Primary market research\u2014both quantitative and qualitative\u2014remains an irreplaceable tool for understanding drivers of disease management and patient treatment. However, increasing access to real-world data<\/a> (RWD), including claims and electronic health records, has exponentially increased robustness of patient-level data analysis across pharmaceutical markets and enabled a more accurate foundation for market analysis.<\/p>\n

A major caveat is that working with RWD<\/a> can be costly and time-consuming, and requires an army of therapeutic and analytical experts to produce quality insights. The good news is, pharmaceutical market insights professionals now have access to robust RWD-powered solutions that make analysis accessible, quickly digestible, and reliable, making it easier than ever to integrate into decision making processes.<\/p>\n

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We can now build an accurate picture of the clinical journey using RWD.<\/h4>\n

Treatment Algorithms: Claims Data Analysis<\/a>, a proven solution from DRG, analyzes deep longitudinal US claims data to understand the therapeutic landscape and prescribing trends within a disease, creating a detailed roadmap of the treatment journey. We explore how patients advance through different lines of treatment following diagnosis, which drugs they start on and which ones they progress to, and how many patients utilize various types of therapies\u2014and for how long.<\/p>\n

Key findings from Treatment Algorithms: Claims Data Analysis include:<\/p>\n