PURPOSE: While patient-level healthcare databases continue to proliferate globally, the challenge to any healthcare researcher is how to find the optimal database to solve the research question at hand. Electronic Health Records (EHR), disease registries, claims, and patient-reported surveys individually each have their strengths and weaknesses. Thus, the ideal solution is a combination of fields from one or more databases. The integration of these databases can present significant challenges around sample size, patient privacy, and mixed data types; however, if combined carefully and accurately, can provide huge benefits in understanding more about a disease or patient characteristics. This workshop will address methods for integrating databases, with examples of success stories. DESCRIPTION: The first topic will be on the current state of RWE databases and different methods for integrating these databases for unique insights for outcomes research. The second topic will present the specific logistical issues with integrating datasets in Japan, including privacy, regulatory, and ethical concerns, and how to overcome these concerns. Topic 3 will demonstrate a specific example of how data from disparate sources can be analyzed together, using claims and patient-reported outcomes data sources in Japan. For each database integration case study, the presenter will discuss the reason why database integration was necessary, some of the challenges they faced performing the integration, how they overcame these challenges, and the value that the final integrated data brought to the research question at hand. The workshop will also encourage audience participation around successes or failures in healthcare data integration they have experienced and the methodologies they have utilized. The discussion leaders will provide their thoughts on these examples from the audience. This workshop will be valuable to healthcare researchers and biostatisticians working with different RWE databases and are seeking novel approaches to creating a more complete dataset.