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Use of Bayesian Probabilities to Identify BioMarkers
Isaac S. Kohane, MD. Ph.D., Director, Lawrence J. Henderson Associate Professor of Pediatrics and Health Sciences and Technology, Harvard Medical School
Currently biomarkers tend to be identified one at a time for a handful of diseases. In this presentation, the pitfalls of such approaches (e.g., the development of controversial non-specific biomarkers for cancer) are identified. A comprehensive approach that can be adopted on a population and genome-wide scale will be described and illustrative examples given from genomic and clinical and combined data instances. The utility of a Bayesian framework for this research will be described.
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Microarrays and Multivariate Analysis and Promoter Analysis
Des Higgins, Ph.D., Professor of Bioinformatics, Conway Institute, University College, Dublin
This presentation will discuss the role and use of multivariate analysis methods for the analysis of promoters and microarray data.
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Text Mining and Analysis of Textual Information
Jaap Suermondt, Ph.D, Hewlett-Packard Labs
Much information in clinical records is stored in textual form, as largely unstructured text (e.g. most notes) or as items intended to correspond to more or less controlled vocabularies. Extracting the concepts in this text into some coded form can lead to useful functionality such as improved billing and verification, reliable charting, and various forms of error checks and decision support. Automated, reliable information extraction from these sources of text has been challenging and has led to interesting research, for example in ontologies, terminologies, and the semantic web. Beyond that, there is much interest in leveraging the text in the records of cohorts of patient records for research purposes. Text mining has made much progress in recent years and has led to valuable research discoveries as well as useful business applications. However, in the healthcare setting there are challenges in allowing such text mining, particularly related to regulatory compliance and depersonalization to protect the privacy of patients.
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The Issues Behind the use of ePro Data in Clinical Trials
Paul Korner, MD, MBA, Executive Director, Medical Affairs, Female Healthcare Berlex Laboratories
This presentation will discuss the issues surrounding the acquisition and use of electronic patient reported outcome data in clinical trials. Topics to be covered include the issues regarding the acceptance, accuracy and utility of ePro data in clinical trial analysis. The impact of FDA regulations on ePro will also be discussed.
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The Emergence of Digital Pathology: Overview
Professor Peter Hamilton, BSc, Ph.D., Professor of Bioimaging and Informatics, Queen's University Belfast. Managing Director, i-Path Diagnostics Ltd.
This presentation will provide an overview of the emerging revolution in digital pathology. The presentation will discuss the current status of digital pathology, the challenges and future prospects, the forces driving the adoption of digital techniques in pathology, the enabling technologies, the role of digital technologies in pathology training and education, and the impact of digital pathology on the quality of care.
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Digital Pathology: Opportunity,Benefits & Challenges
Mohan Uttarwar, President and CEO, BioImagene, Inc.
This session will be a follow-up to the earlier session on the emergence of digital pathology focusing on the enabling technology of automated image analysis. It will discuss on image analysis software and application such as high content screening (HCS), the potential effects of automated image analysis on the practice of clinical pathology as well as a vision of how digital pathology images could be viewed, shared and analyzed via the Internet. It will also discuss the IT challenges to acquiring, archiving, managing and mining large images.
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Integrating Genetic Information in the Electronic Medical Record
John Glaser, Vice President and CIO Partners HealthCare
This presentation will discuss the experience of Harvard Partners Healthcare in developing an Electronic Health Record that integrates genetic data with phenotypical data in an Electronic Health Record. The presentation will discuss the issues and challenges in developing and implementing such a system.
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Standards to Link Clinical Research and the Electronic Health Record
Rebecca D. Kush, Ph.D., Founder and President, Clinical Data Interchange Standards Consortium (CDISC)
This presentation will discuss different initiatives that are taking place to build a stronger link between healthcare and clinical research processes, improved data sharing among systems supporting healthcare and those supporting clinical trials, electronic data collection from the source for multiple downstream uses, and standards for protocol design and data collection. Initiatives to be discussed include harmonization between CDISC and HL7, eSource Data Interchange (eDiaries, EHR, eCRF data collection), Single Source and collaborations with NIH, NCI WHO, PhRMA and IHE.
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Service Oriented Architectures - Providing Flexibility for the Health andLife Sciences Industry
Mark F. Davis, WW Enterprise Integration Manager, Enterprise Integration & Development Practice, Hewlett-Packard Company
The Service-Oriented Architecture (SOA) offers health and life sciences companies the means to address many of the challenges they face – including the need to reduce IT costs while increasing efficiencies, collaboration, and interoperability. This session will look at how a well designed and managed SOA provides the flexibility companies need to change with agility and meet the requirements of electronic health records, new and emerging standards, and regulatory compliance, while integrating new technologies.
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Storage and Computing Architectures for Life Sciences
Eamonn O'Toole, Ph.D., Hewlett-Packard Company, Life and Material Sciences, Advanced Development Group, High Performance Computing Division
This presentation will discuss the various types of computing and storage architectures that are used in life science research environments. The session will cover the various types of computation and data found in life science research and outline appropriate system architectures and strategies.
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Image Archiving and Management for Life Science Research
Frank Orlando, Hewlett Packard Company
This session will discuss image management and archiving in life science research, both the promise as well as the challenges. The challenges to be discussed include data access over long periods of time, changing storage needs, changing legal requirements, cost of storage and leveraging existing storage. The session will also discuss a case study of an information lifecycle management approach to medical image archival.
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GIGPAD: Infrastructure to Support Genetic, Genomic and Proteomic Assays
Samuel (Sandy) Aronson, Director of Information Technology, Harvard Partners Center for Genetics and Genomics.
This presentation will describe the Gateway for Integrated Genomics-Proteomics Applications and Data (GIGPAD) system that supports the research and clinical operations of the Harvard Partners Center for Genetics and Genomics (HPCGG). GIGPAD’s role in bridging the research-clinical divide will be discussed and as well as its role in integrating genetics into the electronic medical record.
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Sales Force Data Acquisition
TC Foong, Information Management Director, Xian-Janssen Pharmaceutical Ltd., Regional CIO, Janssen-Cilag North Asia
This presentation will present a case study of a mobile call management solution for pharmaceutical field sales forces that utilizes HP iPaq PDAs, call management software, security authentication tokens (for remote access via GPRS and VPN) to support the sales force in areas such as planning doctor calls, territory management, prospect targeting, etc. The presentation will also show how data is uploaded to SAP for business intelligence such as comparing trends, benchmarking, etc. of HR costs, selling and operating costs, NTS, budget by business unit, sales call rates, etc.
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Clinical Intelligence Enterprise Data Warehouse: A Practical Case Study
Beverly Quarles, Solutions Director, NonStop Enterprise Division (NED), Hewlett-Packard Company
Today’s healthcare environment is characterized by escalating costs, growing patient sophistication, burgeoning regulatory requirements, ongoing mergers and acquisitions, ever-increasing data volumes, and rapidly evolving technology. In this dynamic environment, healthcare enterprises seek to differentiate themselves by providing superlative quality of care. Perhaps the most valuable asset at their disposal in this quest-and one that is largely untapped-is the enormous volume of data that typically resides in siloed legacy systems. The ability to integrate all of this data for purposes of analysis and actionable knowledge defines the emerging technical arena of clinical intelligence.
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Bioinformatics for Tropical Diseases
Mark Schreiber, Ph.D., Research Investigator, Bioinformatics NITD
This presentation will discuss the use of bioinformatics in the field of tropical diseases using case studies to illustrate practical application of bioinformatics.
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