Healthcare systems around the world are struggling to keep up with patient needs, and improve quality of care while reducing costs at the same time. At the same time, more and more data is being captured around healthcare processes in the form of Electronic Health Records (EHR), health insurance claims, medical imaging databases, disease registries, spontaneous reporting sites, and clinical trials. As this data gets collected, government regulations are requiring healthcare providers to not only store it in an electronic format but also use it in meaningful ways. Using this data in an effective way to improve quality of care and reduce costs requires innovation in data mining as well as academic, industry and government partnerships.

The goals of this workshop are to:

1. Bring together the KDD community and the medical researchers & practitioners to discuss and explore mutual benefits of applying KDD to the right medical challenges and to collaborate on identifying and developing promising new techniques and methodologies.
2. Bring together researchers (from both academia and industry) as well as practitioners from all three different groups in medicine and healthcare (payers, providers, and pharmaceuticals) to talk about their different perspectives and to share their latest problems and ideas.
3. Attract healthcare professionals who have access to interesting sources of data and problems but not the expertise in data mining to solve them effectively. This group would otherwise not attend KDD and we believe through our personal experiences that it is essential for KDD research community to interact with them.

Detailed information can be found at Workshop on Data Mining for Medicine and HealthCare.