As computers and database systems become more integrated into the day-to-day operations of healthcare providers, the data about patient care and the data available to assist in patient care grow in both volume and complexity. At the same time, the reliance on knowledge extracted from such data grows in both volume and complexity. Recent efforts such the Patient-Centered Outcomes Research Institute's (PCORI) National Patient-Centered Clinical Research Network (PCORnet) are providing researchers with large repositories of standardized, interoperable data and creating unprecedented opportunities for data mining to improve the effectiveness of clinical care. This increasing volume and diversity of healthcare data along with increasing demands by payers and patients to improve quality and contain costs creates opportunities and challenges for the data mining community to partner with clinicians, payers, and patients to understand the nature of the available data as well as the nature of the many needs of the various constituents of the healthcare system.

The goal of this workshop is to bring together researchers working at the intersection of big data mining and healthcare to share with and learn from each other. It will benefit both theoreticians and practitioners, including system builders and individuals applying big data mining methods in healthcare domains. It will feature oral presentations from paper authors, one invited talk, and a panel discussion on open problems and directions for future research related to clinical effectiveness on big data. Papers that describe original and ongoing research as well as those that describe systems and tools are solicited.

The following is a list of topics for which contributions are welcome, but are not limited to:
• Healthcare decision support
• Syndromic surveillance
• Drug discovery
• Personalization of clinical care
• Mining big healthcare data
• Mining across multiple types of healthcare data
• Novel graph mining techniques applied to healthcare data
• Privacy-preserving mining of healthcare data
• Integration of data mining tools into healthcare workflow
• Mining of unstructured healthcare data
• Data mining to support regulatory needs of healthcare

Important Dates
• Aug 30, 2015: Due date for full workshop papers submission
• Sept 20, 2015: Notification of paper acceptance to authors
• Oct 5, 2015: Camera-ready of accepted papers
• Oct 29-Nov 1, 2015: Workshops

Workshop Organizers
• Doug Talbert, Tennessee Tech University, dtalbert@tntech.edu
• Bill Eberle, Tennessee Tech University, weberle@tntech.edu
• Russ Waitman, Kansas University Medical Center, rwaitman@kumc.edu
• Mei Liu, Kansas University Medical Center, meiliu@kumc.edu