Expanding the Boundaries of Health Informatics using AI (HIAI’16): Making Proactive, Personalized, and Participatory Medicine A Reality

News | Introduction | Topics | Program | Submission | Important Dates | Organizers and PC | Contact | Sponsors

Welcome to the Third Workshop on Expanding the Boundaries of Health Informatics using AI (HIAI’16): Making Proactive, Personalized, and Participatory Medicine A Reality
Held at The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16).
February 12–17, 2016 in Phoenix, Arizona USA

Feb. 15th 2016 - The slides from invited talks by Dr. Peek and Dr. Holmes are available. Thank you to everyone that attended the workshop! Please keep in touch with the workshop chair for collaboration opportunities and news about future meetings.
Feb. 2nd 2016 - The workshop will take place on Saturday February 13th in Room 212A on the Second level of the Convention Center. Morning and afternoon coffee breaks will be held in the West Arcade on the street level of the Center.
Jan. 21st 2016 - The workshop program is ready. You can view it here.
Dec. 17th 2015 - The AAAI workshop schedule has been released. Our workshop will be held on Saturday February 13th. See you in Phoenix.
Oct. 22nd 2015 - Per several authors' requests, the submission deadline has been extended to Tuesday November 3rd.
Sept. 15th 2015 - Dr. John H. Holmes added as an invited speaker.
Sept. 14th 2015 - Dr. Niels Peek added as an invited speaker.
July 30th 2015 - Website online.

Workshop Description
The 20th century laid a foundation of evidence-based medicine that relied on populations and large groups of patients to derive generalized results and observations that were applied to (mostly passive) patients. Yet, the 21st century is shaping up as a time where the patient and personalized health data is the driver of health care innovation and delivery. The availability of this vast amount of personalized data allows for care tailored to a specific patient, an approach coined personalized medicine. Moreover, the availability of this data allows for the constant monitoring and discovery of deviations from patient-specific averages (possibly different from population-based averages). These deviations may signal developing problems and their early detection allows for more effective treatment leading to proactive medicine. Finally, patients are no longer passive recipients of (personalized) treatments and therapies, but they actively participate as a decision maker in their development, customization and application. This shift has lead to the emergence of participatory medicine.

The rise of novel methods and tools for collecting and storing large amounts of personalized data, for example from new sensors and various types of electronic health records, has made vast amounts of medical data available. Several projects have shown that sharing this data offers multiple advantages to both physicians and patients, enabling them to globally identify similar patient cases and discover successful therapies from other patients and physicians. Access to this information, from a multitude of data channels, allows for shared decision making that enables physicians to proactively personalize care decisions and, at the same time, supports patients’ engagement in their own care.

Finally, there are care scenarios when enough information to make treatment decisions is not readily available. For example, what does a patient do when there isn't enough data that's relevant to their case (frequently the case in cancer due to the many molecular subtypes and treatment combinations) or when the evidence for alternative options is based on population statistics or is at an equipoise? In these cases, there exists a need to consult with experts or other patients through online forums, crowdsourcing, social media and the like, to unlock the community's collective knowledge, and to rapidly share the results to drive collective learning.

To tackle issues that arise in proactive, personalized, and participatory medicine information technology will need to evolve to improve communication, collaboration, and teamwork between patients, their families, healthcare communities, and care teams involving practitioners from different fields and specialties. All of these changes require novel solutions and the AI community is well positioned to provide both theoretical- and application-based methods and frameworks. The goal of this workshop is to focus on creating and refining AI-based approaches that (1) process personalized data, (2) help patients (and families) participate in the care process, (3) improve patient participation, (4) help physicians utilize this participation in order to provide high quality and efficient personalized care, and (5) connect patients with information beyond those available within their care setting. The extraction, representation, and sharing of health data, patient preference elicitation, personalization of “generic” therapy plans, adaptation to care environments and available health expertise, and making medical information accessible to patients are some of the relevant problems in need of AI-based solutions. This workshop focuses on AI-based methodological and application contributions in health informatics and its aim is to foster opportunities for collaborative research within a multi-discipline research community that offers expertise in medicine, bioinformatics, computer and information science.

The workshop will build on the very successful AAAI-13 Workshop on Expanding the Boundaries of Health Informatics using AI (HIAI-13) held at AAAI-13 in Seattle WA and the AAAI 2014 Fall Symposium (HIAI’14) in Arlington VA. The workshop format will include two invited speakers along with breakout sessions to share ideas.

One invited talk is titled "Analytical Challenges for Smarter Health Systems" and will be given by Dr. Niels Peek. Dr. Peek (MSc, PhD) is Associate Professor in Health Informatics at the Health e-Research Centre at the University of Manchester. He has a background in Computer Science and Artificial Intelligence. His research focuses on data-driven informatics methods for healthcare quality improvement, data mining for healthcare, predictive models, and clinical computerised decision support. He has co-authored more than 100 peer-reviewed, scientific publications. Previously based at the University of Amsterdam, the Netherlands, he led the "CARDSS" initiative which led to the introduction of computerised decision support in 40 Dutch hospitals. He co-organised international workshops on intelligent data analysis in biomedicine in Aberdeen (2005), Verona (2006) and Bled (2011), and a workshop on electronic phenotyping in Washington, DC (2014). In 2013, he acted as Scientific Programme Chair of the 14th Conference on Artificial Intelligence in Medicine (AIME 2013). He is currently the President of the European Society of Artificial Intelligence in Medicine, editorial board member of the Journal of the American Medical Informatics Association (JAMIA) and the Journal of Biomedical Informatics (JBI), and associate editor of BMC Medical Informatics and Decision Making.

Dr. Peek's invited talk slides are available here.

The other invited talk is titled "Data Driven Clinical Research: If Only It Were So Simple" and will be given by Dr. John H. Holmes. Dr. Holmes is Professor of Medical Informatics in Epidemiology at the University of Pennsylvania Perelman School of Medicine. He is the Interim Director of the Penn Institute for Biomedical Informatics and is Chair of the Graduate Group in Epidemiology and Biostatistics at Penn. He has been recognized nationally and internationally for his work on developing and applying new approaches to mining epidemiologic surveillance data, as well as his efforts at furthering educational initiatives in biomedical informatics. Dr. Holmes’ research interests are focused on several areas in medical informatics, including evolutionary computation and machine learning approaches to knowledge discovery in clinical databases (data mining), interoperable information systems infrastructures for epidemiologic surveillance, regulatory science as it applies to health information and information systems, clinical decision support systems, semantic analysis, shared decision making and patient-physician communication, and information systems user behavior. Dr. Holmes sits on the Board of Directors of the American Medical Informatics Association (AMIA), and is Chair of the International Affairs Committee of AMIA and the AMIA Representative to the International Medical Informatics Association (IMIA). Internationally, he serves as Vice President of IMIA for North America, past Vice Chair of the IMIA Working Group on Data Mining and Big Data Analytics and on the Board of Directors of the Artificial Intelligence in Medicine Society (Europe). Dr. Holmes is an elected Fellow of the American College of Medical Informatics (ACMI) and the American College of Epidemiology.

Dr. Holmes' invited talk slides are available here.

The full program is available here.

Submission Details
Please submit all papers via EasyChair.

Workshop participants are invited to submit either a full-length technical paper or a short position or demonstration paper. Full-length papers must be no longer than eight (8) pages, including references and figures. Short submissions can be up to four (4) pages in length and describe speculative work and work in progress on a topic of the workshop or a demonstration/tool. Submissions are accepted in PDF format only, using the AAAI formatting guidelines and including author names.

Important Dates
November 3, 2015: Submission deadline
November 23, 2015: Acceptance notification
December 7, 2015: Camera-ready deadline
February 13, 2016: Workshop

Workshop Organizers
Martin Michalowski, Chair (Adventium Labs, martin.michalowski@adventiumlabs.com)
Jay M. Tenenbaum, Co-chair (Cancer Commons)
Szymon Wilk, Co-chair (Poznan University of Technology)

Program Committee

José Luis Ambite | University of Southern California
David Buckeridge | McGill University
Yao-Yi Chiang | University of Southern California
Jesse Davis | KU Leuven
Aniko Ekart | Aston University
Dan Goldberg | Texas A&M University
Arjen Hommersom | Open University of the Netherlands
William Klement | University Health Network
Andrey Kolobov | Microsoft Research
Craig Kuziemsky | University of Ottawa
Stan Matwin | Dalhousie University
Matt Michelson | InferLink
Dympna O’Sullivan | City University London
Jerzy Stefanowski | Poznan University of Technology
Simone Stumpf | City University London
Xing Tan | York University
Jeremy Weiss | University of Wisconsin

Contact Information
Questions concerning the workshop should be addressed to Martin Michalowski at martin.michalowski@adventiumlabs.com

Sponsorship for the workshop is provided by:
Adventium Labs