The University of Maryland Human-Computer Interaction Lab (HCIL) will hold its 31st Annual Symposium on May 29, 2014. As part of the event – and following the keynote speakers - will take place a workshop on: *Exploring Temporal Patterns in Electronic Health Record Data* http://www.cs.umd.edu/hcil/eventflow/workshop2014/ To attend: register for the symposium at http://www.cs.umd.edu/hcil/soh/registration.shtml The agenda includes talks followed by ample time for discussion, from (as of today): - HCIL researchers presenting the latest research on EventFlow http://www.cs.umd.edu/hcil/eventflow/, and Coco - our newer work on cohort comparison - Catherine Plaisant and Ben Shneiderman, "Introduction: The Growth of Temporal Event Data Analysis" - Chris Imbriano and Megan Monroe, "Software Engineering for Consistent Modification Management" - Megan Monroe, "Temporal Event Analysis of Sports Data" - Sana Malik, "A Visual Analytics Approach to Comparing Cohorts of Event Sequences" - Users of HCIL tools such as EventFlow reporting on their findings - Eberechukwu Onukwugha (University of Maryland, Baltimore), "An Algorithm to Identify Palliative Radiation Therapy in the Metastatic Prostate Cancer Setting: A Proof of Concept Application of Data Visualization Tools" - Seth Powsner and Tami Sullivant (Yale University School of Medicine, Dept. of Psychiatry), "A Case Study of over 12000 Daily Reports from Women in Abusive Relationships" - Sophia Wu and Margaret Bjarnadottir (Robert H. Smith Business School, University of Maryland), "Exploring Temporal Patterns in Hypertensive Drug Therapy" - Beth Carter (Children's National Medical Center) “New analysis of task performance during pediatric trauma resuscitation" - Other researchers working on related topics (please contact us if you are interested) - David Wang (Partners Healthcare), "Sifting through Lines, Events, and Trees: Stories of EHR Visual Exploratory Analysis" - Ana Szarfman and Rongjian Lan, "Visualization of Unique Temporal Sequences of Treatments and Events in an Unidentified Clinical Trial Data” - Sean Finan (Harvard Medical School), Piet De Groen (Mayo Clinic College of Medicine), Guergana Savova (Harvard Medical School), "Narrative Event and Temporal Relation Visualization Tool" - Jessica Lin (George Mason University), "Grammar-Based Medical Time Series Mining and Visualization" For more information see the workshop page: http://www.cs.umd.edu/hcil/eventflow/workshop2014/ *It may not be too late to present:* If you are interested in presenting please submit a title and short abstract (300 words max). Summarize what you would like to present on the topic of Exploring Temporal Patterns in Electronic Health Record Data, or provide pointers to papers and screenshots. We welcome discussions of the use of visual approaches, statistical methods, machine learning, etc. to study temporal patterns in patient histories, where the goals may be to find common patterns, rare events, or matches to a given patient etc. Topics might include data cleaning, integration from multiple sources, coping with incomplete or conflicting information, and presentation of result sets. If we receive too many requests, we may ask you to bring a poster for presentation during the breaks. Submit to: Catherine Plaisant <plaisant@cs.umd.edu> as soon as possible and preferably before *May 9, 2014*. Confirmation will be provided within a few days of submission. If the day is too full already, we will invite you to bring a poster or give a demonstration during the break. Sana Malik Ph. D. student, University of Maryland, College Park maliks@cs.umd.edu