Overview:

Whether you are setting up an initial data strategy in a small department or clinic or contributing to a large enterprise strategy, having a framework for where to begin with data and strategy can help elucidate key issues.

The intent of any data strategy framework is understanding how information and data drive your business and clinical service delivery. This can only be accomplished with a strongly aligned data and analytical framework with the overall objectives of the unit (or organization). Such a framework can guide how best to operationalize and capture the information (data) with fidelity and yet often in a context of a busy commercial/clinical enterprise.

Critical to the enterprise are asking the right questions (needs analysis) and overlaying the available data for answers. This include identification of data needs and gaps for driving key clinical or operational decision-making. A measurement strategy must not only understand the operationalization of key constructs but also how to capture, scrub, merge and evaluate such data in order to bring actionable insights to light. What potential barriers and constraints must you contend with, what necessary standards for data management are needed, what essential operating procedures must be in place, and importantly what are the data gaps relative to the objectives and related measurement needs? Finally what analytical approaches for standard reporting and more importantly clinical decision making.

Why should you Attend: Whether you are setting up an initial data strategy in a small department or clinic or contributing to a large enterprise strategy, having a framework for where to begin with data and strategy can help elucidate key issues. Poorly considered data strategy and consequent execution can will certainly not contribute to successful outcomes but can undermine and set back a clinical or other operational unit. This webinar will help attendees to thoughtfully consider data strategy regardless of their role or setting.

Practical ideas, tips and checklists will be shared for attendees to use to help them focus their own data strategies to drive value and outcomes. What potential barriers and constraints must you contend with, what necessary standards for data management, essential operating procedure, what are the data gaps and finally what analytical approaches for standard reporting and more importantly clinical decision making? These and other questions will be considered within the webinar.

Areas Covered in the Session:

• Data Needs Assessment
• Gap Analysis and Approaches to Data Capture
• Data Coordination and Integration
• Using Data for Standard Reporting
• Using Data for Innovation Mining
• Understanding Contextual/cultural Barriers to Strategy Execution

• Research Directors
• Research Managers
• IRB Managers
• HEOR Directors
• Clinical Trials Research Associates
• Pharma HEOR/RWE Researchers
• Brand Managers
• Clinical Research Project Managers
• CRO staff