The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by Tom Arneman of Ceiba Solutions, a global software development and IT services company.

1. Life Science Knowledge as a Service Pistoia Alliance Conference

2. Ceiba Solutions Introduction Ceiba Solutions is a global software development and IT services company creating Innovative IT Solutions to the Life Sciences and Healthcare Industries We provide: Enabling technologies for Social Media (iSwarm), Data Integration (CDi), Data Typing Experienced based Life Science Application Managed Services including Scientific and Hosting expertise Agile software development to customize and integrate life science business processes

3. Information Technology is positioned to deliver the key objectives that will revolutionize the pharma industry. Pharma’s focus on core competencies is driving the movement to outsource key operational functions to reduce costs. Streamlined processes to collaborate across vendors is essential. Available information can be measured in Pedabytes. New technology solutions to process and distill the information is essential to decision making “Cloud” adoption in on the rise with the potential to reduce the hard and soft costs related to information storage and processing. Information stores designed to unify available data assets into easily accessible, objective oriented solutions are in early stages of development. Health care data from EMRs to Patient centric apps are beginning to take hold and build stores of new information critical to both drug discovery and commercialization. Applications covering transactional workflow and data storage for standard pharma operations are entrenched and well utilized A comprehensive offering delivering objective-aligned “knowledge as a service” (KaaS) will be the next revolution in Pharma IT. Patient Knowledge as a Service

4. Pharma Adherence Management Projects Claims Compounds Trials Patients Services Environmental Population Demographics Social Media Virtual Clinical Trials Patient Knowledge Service Corporate Intelligence mHealth Private Data Sources Translational Research Diagnostics IMS Patientslikeme.com Thompson Reuters Personal Health Records Patient Knowledge Service Health Services

5. Critical Components Analytics Data Model Project Information Gene Expression Pre-Clinical Data Literature & Documents Disease Information Genomic Data Patient Information Clinical Trial Data Compound Data Information Exchange

6. Example: Social Media for Personalized Medicine

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