London, UK and Cambridge, MA, April 16, 2008 – InforSense Ltd., the leading provider of embedded enterprise intelligence, today announced a new version of InforSense ClinicalSense, a special purpose application for cohort identification, that will now include an embedded clinical data model. With ClinicalSense and the embedded Clinical Data Model, clinicians and researchers can perform ad-hoc analysis of patient data, with instant results enabling them to intelligently design new research studies, identify emerging patient safety and risk trends and augment clinical decisions with evidence based analysis of their population. While ClinicalSense can be configured to run on an existing clinical data warehouse, InforSense has developed an open and adaptable analytical data model that can be used in conjunction with ClinicalSense, and provides faster implementation and enhanced analysis capabilities.
“Top medical research institutions such as Erasmus, Dana-Farber, and the Windber Research Institute all use ClincalSense to explore their patient population,” said Jonathan Sheldon, Chief Scientific Officer at InforSense.“The ability to collect and analyze patient data quickly and efficiently is enabling scientists to translate their research into real decisions that can impact patient care.”
InforSense ClinicalSense™ is a decision support environment that enables clinicians to interact directly with clinical and sample status data. Designed by clinical researchers for clinical researchers, ClinicalSense eliminates the dependence on IT for ad hoc queries and analysis of patient data. Now clinicians can perform any analysis of patient data on the fly with immediate results. This enable them to rapidly generate and test hypotheses to discover key events that influence clinical outcome ClinicalSense is unique in its support for relevant clinical data types and visualization methods for those involved in clinical research.
Using the highly intuitive Clinical Population Explorer and Patient Event Viewer, clinicians can:
- Easily browse large clinical datasets from patient populations
- Intuitively ‘slice and dice’ through aggregated clinical data
- Identify subsets of patients with particular sets of clinical attributes
- Select and synchronize views of data that can be captured and shared for easy inter-patient comparisons
- Switch between calendar-based timelines and age-based timelines, or align patients’ timelines relative to particular events
- Drill down to investigate relevant data collected for any particular patient over a defined time period
The InforSense Clinical Data Model has been designed to handle the challenges and peculiarities of the clinical research environment, including:
- Large number of dimensions
- The ‘time’ element of data
- Multiple research studies in the same model
- Multiple (and evolving) terminology sets
- Sparsely distributed data
- Multiple perspectives on the same data
InforSense Translational Research Solution
The InforSense Translational Research Solution provides a powerful and flexible framework to integrate and analyze clinical, patient specimen and experimental data for translational research. The solution builds on InforSense’s expertise developing translational research analytics applications for the world’s leading research institutes. It incorporates the power of the InforSense platform with expertise in micro-array analysis from BioSense, cohort identification and clinical decision support from ClinicalSense and automated QC and analysis of Genome Wide Association Studies from GenSense. This enables translational analysis to be quickly implemented out of the box with minimum configuration, but enables best practice analytical workflows to be developed and modified by internal teams, providing the flexibility to manage this evolving research field.
ClinicalSense and the Clinical Data Model are available immediately.
Translational Research Symposium
InforSense is hosting a Translational Research Symposium on Friday, May 2, 2008 at the Exchange Conference Center in Boston, Massachusetts. The Translational Research Symposium will provide a forum for members of the clinical, pharmaceutical and research communities who are involved in or interested in embarking on translational research projects. Speakers will discuss strategies for success in translational research – the practice of linking clinical and research data to identify biomarkers, improve disease understanding and ultimately improve patient care. John Quackenbush, Ph.D. of the Dana-Farber Cancer Institute will present the opening keynote presentation on Translational Research and Gene Expression at the Dana-Farber Cancer Institute. Additional speakers will include Erasmus University Medical Center’s Peter van der Spek, Deloitte Consulting LLP’s Keith Strier, Children’s Hospital of Philadelphia’s Hakon Hakonarson, Strategic Medicine Inc.’s Michael Liebman and Jonathan Sheldon of InforSense. For more information visit the Translational Research Symposium page.
InforSense Ltd., the leader in agile, predictive, and visual embedded enterprise analytics, enables organizations to orchestrate and optimize their business-critical decision-making processes. Leading pharmaceutical and biotechnology, consumer goods, healthcare, financial services, manufacturing and communications companies are using the company’s flagship product, InforSense, to enhance productivity by embedding analytics within their business processes. The company is privately held, with European headquarters in London, UK and North American headquarters in Cambridge, Massachusetts.
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