Cancer Informatics Summit

Accelerating research discoveries and improving patient outcomes through technology

In an era when cancer research capabilities and the advent of “personalized medicine” have begun to produce more information than institutions can keep track of, efficient informatics systems are crucial to effectively organize, manage, access and share data. Through a digital atmosphere characterized by inter-connectivity, comprehensive clinical informatics and bioinformatics are capable of improving every stage of development from bench to bedside, ultimately streamlining discovery and diagnosis, fortifying prevention and securing proper treatment of cancers. But significant challenges still lie ahead.

Cancer research and treatment institutions continue to face a number of issues pertaining to informatics systems and their uses, including securing unified systematic databases, weak infrastructures, information retrieval obstacles, high costs, economic and regulatory concerns, ethical challenges and many others.

The Cancer Informatics Summit will bring together leading CIOs, CMIOs and IT professionals from cancer centers across the nation to confront and overcome current informatics technology issues and trends. The event will enable attending executives to network with peers and learn from each other’s experiences through engaging educational sessions conducted in a comfortable, yet focused business environment. A strategic agenda offers the opportunity for critical exchanges through visionary Keynote Presentations, Think Tanks, Thought Leadership workshops, Analyst Q&As and much more. Attendees will meet one-on-one with solution providers throughout the summit to learn about critical products and services capable of solving organizational challenges.

A few of this year’s agenda topics:

  • Emerging Computational Tools and Data Modeling
  • What Every CIO Needs to Know about Smartphones & Tablets
  • The Implementation of ICD-10-CM
  • Can the Future of Electronic Health Records (EHRs) be found in the Cloud?
  • Strategies for Data Storage, Management and Integration
  • Integrating Multiple-Omics Data Sets
  • Analysis of Gene Expression Data
  • Full Genome Sequencing and Challenges
  • HIE Security & HIE Strategy
  • Keeping Translational Research Costs Down
  • Has Your Data Been Breached?
  • Adequate Training and Retaining Talent
  • Clinical Innovation, Collaboration, and Value Creation in the Health care Community

Take advantage of this unique opportunity to get cancer informatics issues out on the table, make your voice heard and collaborate with peers on real solutions for your organization.

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Case Studies

A Collaborative Translational Informatics Environment at the NCI At the NIH, a subset of the patients treated at the Clinical Center consent into various Institutes' research protocols. Here we describe how NCI investigators utilize a centralized database system that 1.) securely stores, annotates, curates, and tracks information such as patient data, clinical phenotypes, biospecimen & derivatives data, and experimental research data, 2.) communicates clinical and research information with the NCI Clinical Data Registry and BTRIS systems, 3.) enables collaborative exchange and sharing of information amongst research groups, and 4.) provides an intuitive environment for investigators to query and review their collected data with minimal need for direct IT support.

ACCELERATING BLOOD DISORDER RESEARCH WITH THE INVESTIGATE™ INTEGRATED RESEARCH MANAGEMENT SYSTEM Few institutions would turn down the chance to lead a multicenter, international research effort. In addition to prestige, however, a coordinating center also gains the responsibility for ensuring that research runs smoothly and that all participants have access to the data they need to advance the project. Since 2005, the Blood Research Institute (BRI) of BloodCenter of Wisconsin has served as the coordinating center for a global study of von Willebrand Disease, the most common hereditary coagulation disorder in humans. The TS Zimmerman Program for the Molecular and Clinical Biology of VWD is an NIH program project grant encompassing research at the BRI, the Medical College of Wisconsin, Queen's University in Canada, and the University of Sheffield in the United Kingdom.

Whitepapers

Empowering Knowledge Discovery with Agile Text Mining Solutions Linguamatics provides market-leading text mining solutions to empower knowledge discovery and decision support. Linguamatics is the world leader in deploying innovative natural language processing (NLP) based text mining technology for complex, high value problem solving.

Oracle Health Sciences Translational Research Center: A Translational Medicine Platform to Address the Big Data Challenge As organizations move to advance translational research to achieve personalized medicine, researchers and clinicians must manage informatics, however, there is a shortage of fullyintegrated informatics solutions that integrate, store, and analyze clinical and omics data from diverse sources - generated in-house as well as public consortiums. Many researchers and clinicians must rely on bioinformaticians to perform mundane data management tasks in order to validate a simple hypothesis. Oracle Health Sciences Translational Research Center provides a complete and scalable informatics solution, with centralized data storage and analysis across genetic information areas (genomics, transcriptomics, and proteomics), vendor platforms, biological data types, and clinical data sources.

Linguamatics in Healthcare Linguamatics enables organizations to maximize the value derived from textual information resources through its innovative NLP (natural language processing) based text mining and knowledge discovery platform. Our award winning platform, I2E is used successfully by major organizations such as global pharmaceutical companies, healthcare providers and academic institutions.

Data Trust Clinical Data Warehouse Leveraging clinical and administrative data for reporting, analytics, and research can pose significant challenges. Healthcare data is complex and diverse, and is generated in many different and often incompatible systems within a healthcare institution. Combining data from these sources to establish an “integrated source” to serve the requirements of different stakeholders across a healthcare enterprise requires aggregating, transforming, and managing data in compliance with data standards while meeting privacy and security requirements.

Translational Research 2.0 Translational Research is a means to accelerate the speed with which bench science translates into bedside therapeutics. However, research productivity is facing a crisis as pharmaceutical company pipelines decline and the complexity of healthcare delivery increases. In today's world of Big Data, medical and healthcare research organizations are seeking new and better ways to manage and leverage an increasing volume of complex data and information and translate it into new products and treatments.

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