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Dr. Jian Wang received his Ph.D. in Bioengineering from the University of Washington in 1996. After a brief postdoctoral post at the Carnegie Mellon University, he joined the biotechnology industry and grew through the ranks - first with Cellomics and then Physiome Sciences and Paradigm Genetics. He joined BioFortis in 2004 as VP of Product Development and was later promoted to President and CEO. Through his tenure in the biotechnology industry, Jian developed several commercial life science informatics products with customers in academia, government and the bio-pharmaceutical industry. He delights in helping his customers unleash the power of informatics to increase their productivity in scientific, clinical and translational research.
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Research Information Management Systems for Translational Research
Jian Wang, BioFortis
The emergence of translational research as the paradigm for rapid conversion of knowledge attained from basic research through to clinical practice (and back) necessitates the development of flexible platforms to communicate across information silos. This talk will focus on the role of Research Information Management Systems (RIMS) in supporting translational research. Specifically, I will use our experience at the National Institutes of Health as a case study, supplemented by anecdotes from other academic institutions, hospitals and the private sector, to illustrate the unique challenges as well as lessons learned in this arena. I will discuss:
* How RIMS can fit into and support the translational research workflow, at the lab, project and enterprise levels
* Translational research must overcome a significant information gap – the gap between what is traditionally supported by Laboratory Information Management Systems (LIMS) and Electronic Medical Records (EMR)
* The participants in translational research and their different needs for and rights to information
* Translational research, by its very nature, demands collaboration and the need to manage institutional knowledge
* Regulatory compliance (patient privacy, data security etc) is a unique challenge given the different types of people and activities involved in a translational research program – I will use de-identification of Protected Health Information (PHI) as an example for discussion.
* The need for cultural changes in order to break down walls that hinder progress in translational research.
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Information Management Needs by Translational Researchers
Jian Wang, BioFortis
The emergence of translational research as the paradigm for rapid conversion of knowledge attained from basic research through to clinical practice (and back) necessitates the development of flexible platforms to communicate across information silos. In this workshop, we will re-trace the adoption process of Labmatrix™ by several institutes at the National Institutes of Health to support their translational research initiatives. These case studies demonstrate a set of unique information management needs by translational researchers as well as scientific administrators. The following will be discussed:
* The translational research process and its information management challenges at the lab, project and enterprise levels
* How is translational research different from basic research and clinical practice from an information management perspective
* How is translational research information managed today
* Who are the participants in translational research and what are their different needs for and rights to information
* Translational research, by its very nature, demands collaboration and the need to manage institutional knowledge
* What is a Research Information Management System (RIMS) and how does it differ from Laboratory Information Management Systems (LIMS) and Electronic Medical Records (EMR)
* Regulatory compliance (patient privacy, data security etc) is a unique challenge given the different types of people and activities involved in a translational research program
* The need for cultural changes in order to bridge the information gap that hinders progress in translational research
In addition to open discussions, workshop participants will have an opportunity to interact with a demonstration of Labmatrix™ and gain direct understanding of many challenges that NIH Labmatrix™ users encountered during their adoption of translational research information systems. Some examples are:
* Protecting patient privacy without stymieing research productivity
* Collaboration while maintaining oversight of your data
* Managing and querying patient specimen information, together with clinical information as well as research data (“-omics” etc) generated on the specimens
* Every lab/project is unique, how can a system serve them all
* Security Certification and Accreditation: software, network and human behavioral issues
* What does it take to get started
* System integration – fitting into the existing environment
* Training, support and maintenance
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