.jpg?n=1508 "Track 7 Header")
Accessing a patient’s personalized health record and genetic profile at point-of-care or in a clinical setting can aid in early diagnosis of disease, guide treatment and minimize harmful side-effects. Informatics tools and IT infrastructure to support such efforts are being rapidly deployed in hospitals, medical centers and at point-of-care in both the US and other countries. This track will bring together CIO, CMIO’s and other medical informatics experts, technology providers who support these efforts as well as those who provide online health information to the consumer to track personal health status and disease management. Personalized approaches to drug discovery, development and the use of pharmacogenomic data can reduce the time and cost of drug development and reduce the failure rate at clinical trial. Advances in informatics tools that support and integrate data from these efforts will also be featured in our program.
TUESDAY, APRIL 20
2:00 - 6:00 pm Main Conference Registration
4:00 Event Chairperson’s Opening Remarks
Cindy Crowninshield, Conference Director, Cambridge Healthtech Institute
Presented by
4:05 Keynote Introduction: Ronald Ranauro, Chief Executive Officer, GenomeQuest, Inc.
 4:15 PLENARY KEYNOTE: Drug Discovery Opportunities and Challenges -- VC, Biotech and Pharma Perspectives
Christoph Westphal, M.D., Ph.D., CEO, Sitris Pharmaceuticals; Senior Vice President, Center of Excellence for External Drug Discovery, GlaxoSmithKline
|
5:00 - 7:00 pm Welcome Reception in the Exhibit Hall
***Drop off your business card at the CHI Sales Booth for a chance to win an Apple® - iPod nano®! 2 Winners will be announced at 6:45pm in the Exhibit Hall
Wednesday, April 21
7:30 am Registration and Morning Coffee
Sponsored by
8:15 Event Chairperson’s Opening Remarks
Phillips Kuhl, Co-founder and President, Cambridge Healthtech Institute
Keynote Introduction: Jamie Wyatt, Vice President and General Manager Health and Life Sciences, Netezza
 8:20 PLENARY KEYNOTE: Impact of HIT Stimulus on Novel Sources of Data for Research
John Halamka, M.D., M.S., CIO, Harvard Medical School
9:00 Keynote Presentation & 2010 Benjamin Franklin Award
Alex Bateman, Ph.D., Senior Investigator, Pfam Database Project, Wellcome Trust Sanger Institute
|
Sponsored by
9:30 Coffee Break, Poster and Exhibit Viewing
***Drop off your business card at the CHI Sales Booth for a chance to win 1 of 2 Prizes! (Nintendo® Wii™ System or Apple® - iPod touch®)
10:50 Track Chairperson’s Remarks
Eric Perakslis, Ph.D., Vice President, R&D Informatics, Johnson & Johnson Pharma R&D
11:00 Transformation of American Healthcare through Medical IT and Informatics
William F. Bria, M.D., CMIO, Shriners Hospitals for Children; President, AMDIS
America is now entering the “rapid growth phase” of applied medical informatics (AMI). The interest in a plethora of technologies is intense and catalyzed by a political and legislative agenda to more broadly introduce HIT seeking benefits in quality, safety and decreased cost of care. The Medical profession however has been slow to incorporate these technologies into clinical decision making at the point of care. With the perspective of 30 years of AMI in this country, the speaker will discuss the key lessons learned in closing the information gap in this “last mile” of American Medical practice and achieving truly “meaningful use”.
11:30 E-Health from the Ground Up: The Building of the King Hussein Institute for Biotechnology and Cancer in Amman, Jordan
Eric Perakslis, Ph.D., VP, R&D Informatics, Johnson & Johnson Pharma R&D
The King Hussein Institute for Biotechnology and Cancer is a $350 MM effort to construct a new 260-bed hospital and biotechnology research center in Amman, Jordan. KHIBC will be a village of healing and scientific discovery and the first such center in the Arab world. To optimize the technology infrastructure of this green field opportunity, all technology from medical equipment through the IT infrastructure is being engineered by a single team of engineers, scientists and informatics experts.
12:00 pm eHealth: Personalized Medicine and Clinical Decision Support Integration
Sharon Marsh, Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta
Personalized medicine optimizes health care by incorporating pharmacogenomics-based tests into medication selection and dosing recommendations. Although validated and approved tests are available for targeted therapeutics, a major challenge is the ability to process and return information to the physician within a narrow time frame. Targeted therapeutics through EHR-based clinical decision support will provide the informatics pipeline to drive both the acceptance and adaptation of EHR systems by providing personalized information at point of care.
12:30 Luncheon Presentation (Sponsorship Opportunity Available) or Lunch on Your Own
1:40 Chairperson’s Remarks
Brent Gendleman, CEO, 5AM Solutions
1:45 The Evolution of IT Support for Personalized Medicine
Samuel J. Aronson, Executive Director, Information Technology, Harvard Medical School & Partners Healthcare Center for Genetics and Genomics
Continued advances in molecular diagnostics are creating a need for new types of clinical IT support for clinicians. This talk will describe infrastructure that has been built and is being continuously refined to meet that need. The interdependent needs of laboratories and treating clinicians will also be discussed.
2:15 Leveraging Semantics for Effective and Accurate Sharing of Clinical Observations
Vipul Kashyap, Director, Applied Informatics, CIGNA
The imperative to control rising healthcare costs and yet achieve optimum outcomes suggests the need for holistic services to deliver optimum therapy and care for patients. Those services embrace biomedical research, clinical research and practice. Re-use of clinical data is also beneficial to healthcare providers, e.g., evaluating clinical care quality; payors, e.g., monitoring patient risk profile, and pharma, e.g., determining patient eligibility for clinical trials, monitoring adverse events during and after trials. We propose an extensible framework and architecture for sharing and exchange of clinical data. This is illustrated via a demonstration utilizing eligibility specifications from several clinical research protocols (using the CDISC-based standards) and (structured) patient data from a real world EHR (using HL7-based standards) to screen the EHR data for potential candidates.
Presented by
2:45 Featured Presentation
The BIG Idea: Strategies to Achieve a Rapid-Learning Health System
(Joint Talk with Tracks 2, 3, 4, 6, and 7)
Ken Buetow, Ph.D., Associate Director, Bioinformatics and Information Technology, National Cancer Institute
Considerable momentum has been building in government, academe and the commercial sector towards implementation of a “rapid-learning health system”. In this approach to biomedicine, research and clinical care are seamlessly linked in a virtuous circle that enables the collection and analysis of information on clinical outcomes of large populations. This talk will outline the requisite components of such a system—including a mega-community called the BIG Health Consortium™ encompassing the various sectors of biomedicine and electronic interoperability that enables the liquidity of information—and will showcase this new model in action.
3:15 Refreshment Break, Poster and Exhibit Viewing
***Drop off your business card at the CHI Sales Booth for a chance to win 1 of 2 Prizes! (Nintendo® Wii™ System or Apple® - iPod touch®) Winners will be announced at 3:30pm in the Exhibit Hall
Chairperson: Andrew Gantt, Partner, Healthcare & Life Sciences Department, Latham & Watkins LLP
3:45 Informatics Solutions to Enable Systems Medicine
Yuriy Gusev, Ph.D., Senior Bioinformatics Scientist, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center
Research shows that only 50% of the data on an individual is used during a patient-physician encounter. What if we were able to increase the amount of useful data in this context? Our intent here is to utilize informatics tools and resources to integrate data across multiple clincial and “omics” platforms from research and standard of care studies to develop novel data analytic methods that will in the future could allow medical professionals to use them to stratify patients for care, for differential diagnosis purposes, to optimize therapy and monitor recurrence in cancer patients to enable Systems Medicine.
4:15 A Patient Entered Family Health History Tool to Initiate Guidelines
for Prenatal Genetic Testing Using Clinical Decision Support (CDS)
Kevin Hughes, M.D., Co-Director; Surgical Director, Avon Comprehensive Breast Evaluation Center; Breast and Ovarian Cancer Genetics and Risk Assessment Program, Massachusetts General Hospital
We have developed a novel prenatal family history tool that performs risk assessment and provides point-of-care guidance to health-care providers and patients. This tool collects patient-entered data on pregnancy health and family history conditions relevant to prenatal care, in alignment with professional society recommendations. The clinician instantly receives a risk-assessment summary and suggested actions through Clinical Decision Support (CDS), including embedded educational materials to aid in patient management and communication.
4:45 E-Health: So Much Hype Yet So Few Results
Ralph A. Korpman, M.D., President & CEO, CentriHealth, Inc.; Professor, Loma Linda University School of Medicine
In 2009, the National Research Council published an extensive report on e-Health. Their conclusion: “…current efforts aimed at the nationwide deployment of health care IT will not be sufficient to achieve the vision of 21st century health care, and may even set back the cause if these efforts continue wholly without change from their present course.” A continuing string of reports in respected media like Archives of Internal Medicine, The New York Times and The Wall Street Journal note again and again that digital records are not living up to their promise. Successes are anecdotal at best. This presentation pinpoints reasons for these failures, presents a new solution set, and reports on third-party studies documenting the new level of cost and quality success achievable using this approach, including implications for personalized medicine and health reform.
5:15 – 6:15 2010 Best of Show Awards in the Exhibit Hall
6:15 Exhibit Hall Closes
Sponsored by
6:30 – 10:00 2010 Best Practices Awards Reception & Dinner
.jpg?n=600 "TessellaNEW")
THURSDAY, APRIL 22
8:00 am Registration and Morning Coffee
Sponsored by
8:45 Event Chairperson’s Opening Remarks
Kevin Davies, Ph.D., Editor-in-Chief, Bio-IT World
Keynote Introduction: Eric Blatte, Vice President of Sales, Commercial & Public Sector, Imprivata
 8:50 PLENARY KEYNOTE: There is No Magic, There is Only Awesome: Scientific Computing with Amazon Web Services
Deepak Singh, Ph.D., Business Development Manager, Amazon Web Services
Presentation delivered via a live, interactive videoconferencing platform.
9:30 KEYNOTE PANEL
The Future of Personal Genomics
A special plenary panel discussion featuring:
James Heywood, Co-founder and Chairman, PatientsLikeMe
Dan Vorhaus, J.D., M.A., Attorney, Robinson, Bradshaw & Hinson; Editor, Genomics Law Report
Dietrich Stephan, Ph.D., President & CEO, Ignite Institute
Kári Stefánsson, MD, Dr Med, Executive Chairman and President of Research, deCODE genetics
Kevin Davies, Ph.D., Editor-in-Chief, Bio-IT World
|
10:30 Coffee Break, Poster Competition, Vendor Theater Presentations and Exhibit Viewing
***Drop off your business card at the CHI Sales Booth for a chance to win 1 of 2 Prizes! (Nintendo® Wii™ System or Apple® - iPod touch®)
10:55 Track Chairperson’s Remarks
Tibor van Rooij, Director, Bioinformatics, Pharmacogenomics Centre, Genome Quebec
11:00 Family Health Portrait - Illustrating How Simplicity & Standards Can Benefit Patients and Physicians
Gregory Downing, Ph.D., Program Director, Personalized Health Care Initiative, Office of the Secretary, Department of Health and Human Services
A recent survey found that 96 percent of Americans believe that knowing their family health history is important to their own health, yet only one-third have ever tried to collect their family’s health history. Because family health history is such a powerful screening tool, the Surgeon General created a web-based system to help make it fun and easy for anyone to create a sophisticated portrait of their family’s health. Although its interface is simple to comprehend, the “My Family Health Portrait” tool is backed by the HL7 family history model, making it interoperable with other systems, including health risk analysis tools and electronic health records. This tool converges three components of e-health solutions - of users becoming comfortable using the web to manage their health information, of systems exchanging information through a standards-based approach, and of IT supporting the integration of health-care providers, researchers, and patients. Our discussion will explore the tool and how it interoperates with a breast cancer risk analysis tool used by genetic counselors, a colorectal risk analysis web service, and Microsoft HealthVault.
11:30 Unlocking the Value of Electronic Medical Records
Victor Lobanov, Ph.D., Director, Informatics, Johnson & Johnson Pharmaceutical Research & Development LLC
Electronic databases of medical records contain a wealth of information critical to many areas of medical research including drug safety, health outcomes, clinical epidemiology and translational medicine. Through these databases, researchers can gain a better understanding of the short- and long-term impact of exposure to drugs and medical devices, identify populations at risk for adverse effects, estimate the prevalence and natural history of medical conditions, and assess drug utilization across different demographic groups. However, the daunting size and complexity of these databases as well as lack of convenient tools to mine them have made this information largely inaccessible to all but a few experts with advanced data-management and statistical programming skills. Using a combination of a relational data management strategy and a graphical user front-end, we have developed an approach that allows any medical researcher to explore the data in a consistent, intuitive and interactive manner, without the assistance of an expert programmer. Moreover, the optimization work done on the database and application sides have dramatically reduced the time needed to analyze the data and, thus, increased the number of studies that can be performed.
Sponsored by
12:00 pm Leveraging the Research Enterprise to Promote Personalized Medicine and Quality Precision Healthcare
Paul Mattes, M.B.A., Director, Life Sciences, Health Solutions Group, Microsoft Corporation
Discoveries that will make personalized medicine a reality depend on life science research to collect, validate, store, analyze and share information/data that can be utilized to identify and generate valuable therapies. In the complex healthcare ecosystem, there are many such parallel isolated webs of activity across the ecosystem - from scientific discovery, research, and development of new treatments through to healthcare delivery and subsequent monitoring. Quality personalized care (and subsequent ecosystem sustainability) is only achieved through unified collaboration and coordination among the contributing populations, ranging from scientists to patients and the physicians who take care of them.
However, effectively discovering valuable therapies and achieving such quality care requires overcoming hurdles such as data inaccessibility, information heterogeneity, extended analysis cycle times, torrential data volumes, siloed processes, and inability to interrogate the clinical population on demand. These capabilities are not only essential for identifying the personalized treatments that can provide immense value to patients, they are vital for enabling clinical research, development, and delivery to nimbly respond to changes within this dynamic ecosystem- promoting quality precision healthcare.
We will examine these challenges against the backdrop of an industry in transformation, where patients are taking a stronger participatory role. We will describe a scalable and customizable environment that enables dynamic and holistic analysis across the healthcare ecosystem from research to outcomes- supporting deeper, more knowledgeable insights for advancing personalized care.
12:30 Luncheon in the Exhibit Hall
***Drop off your business card at the CHI Sales Booth for a chance to win 1 of 2 Prizes! (Nintendo® Wii™ System or Apple® - iPod touch®) Winners will be announced at 1:45pm in the Exhibit Hall
2:00 Exhibit Hall Closes
1:55 Track Chairperson’s Remarks
Lynn H. Vogel, Ph.D., FHIMSS, FCHIME, Vice President and CIO, Associate Professor, Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center
2:00 Building an Interoperable Architecture for Personalized Medicine
Lynn H. Vogel, Ph.D., FHIMSS, FCHIME, Vice President and CIO, Associate Professor, Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center
In this presentation, Dr. Vogel will discuss M.D. Anderson’s experience with developing an Electronic Medical Record (EMR) in-house on one of the most fully implemented Services Oriented Architecture (SOA) in the healthcare industry. M.D. Anderson’s EMR vision covers not just data from a patient’s clinical experience, but is intended to encompass as well data from scientific inquiries and biospecimens—all of which are derived from a patient’s experience with M.D. Anderson. Dr. Vogel will also contrast the historical and currently prevailing views of software architecture with the promise of SOA, and draw on M.D. Anderson’s experience with successfully implementing SOA to respond to their interoperability challenges. M.D. Anderson is using SOA to bridge the gap between clinical workflow and research, which is one of the most significant challenges facing e-health. This is of course one of the most challenging issues for personalized medicine—how to truly integrate the molecular work of the research scientists with the clinical work of the physician diagnosing and treating the patient.
2:30 Semantic Data Modeling for Personalized Clinical Research
Mark Wilkinson, Ph.D., Assistant Professor, Department of Medical Genetics, University of British Columbia; Principal Investigator, Bioinformatics, The Heart & Lung Institute, St. Paul’s Hospital
In parallel with the evolution of personalized medicine - where the intervention is customized for the patient - we have been exploring frameworks that enhance the personalization of medical research - where the data and models are customized to the opinions and perspectives of the individual clinical researcher. CardioSHARE (Cardiovascular Semantic Heath And Research Environment) is our initial attempt to leverage the power of Semantic Web technologies to enable this kind of personalized view of clinical data. In CardioSHARE, lightweight local ontologies are layered over local and remote datasets to enable customized queries, where the expert knowledge and personal perspective of the researcher are embedded within the query itself.
3:00 Bringing Evidence and Analysis to and from Clinical Operation
Tibor van Rooij, Director, Bioinformatics, Pharmacogenomics Centre, Genome Quebec
Targeted therapeutics and their Clinical Decision Support delivery, enabling personalized medicine at Point of Care (PoC), will drive the acceptance and adaptation of Electronic Health Record (HER) systems. We developed a pharmacogenomic clinical informatics system that integrates with EHRs. BEACON, is a collection of web services with validated and standardized data formats using XML. This informatics pipeline bridges research, clinicians and patients. BEACON integrates pharmacogenomics-driven dosing algorithms into a range of EHRs thus providing clinical decision support at PoC.
3:30 Why an Interoperable Digital Identity and Signature Standard is Fundamental to Improved Efficiencies and Costs in Global eClinical Trials
(Joint with Tracks 6 and 7)
Mollie Shields Uehling, CEO, Executive, SAFE-BioPharma Association
The research community is under enormous pressure to improve R&D productivity, reduce costs and cycle times, and to raise the quality of regulatory submissions. Moving to eClinical Trials holds the promise to deliver against these goals. One of the key challenges in going electronic is the need to link our many disparate healthcare IT islands with interoperable and standardized identities that are recognized by leading regulatory authorities and meet the requirements of many different legal jurisdictions. The proposed presentation will explain the challenge and present how the SAFE-BioPharma digital identity and signature standard (developed as a pan-biopharmaceutical industry initiative) will accelerate a new phase in drug development.
4:00 Conference Adjourns
Apple® - iPod touch®, Nano®, Nintendo® Wii™, are not sponsors or participants in this program.