SDC - sporedata/researchdesigneR GitHub Wiki

• The Sanford Data Collaborative (SDC) is an enterprise-wide project launched in 2015 by Sanford Health System. It aims to unify data sources and analytics capabilities to enhance population health outcomes.

• The SDC addresses the unmet needs of the health system, offering a valuable resource for researchers both regionally and nationally, by integrating data from electronic health records (EHR) and other administrative data into a secure data warehouse.

• The SDC features a consistent data dictionary and governance processes, facilitating both internal and external research.

• Researchers can submit data requests via a project manager. Approved requests are shared securely, enabling feasibility studies and straightforward queries. The SDC supports both aggregated and person-level data, addressing ethical, regulatory, and privacy considerations.

The SDC supports various research activities, including:

• Clinical Research: Investigating treatment effectiveness and patient outcomes.
• Predictive Analytics: Using data to predict health trends and outcomes.
• Population Health Research: Evaluating health outcomes and trends across populations.

• Data Silos: Combines disparate data sources into a unified system.
• Data Access: Provides secure and streamlined access to high-quality health data.
• Research Collaboration: Enhances collaboration between internal and external researchers.

• EHR Integration: Aggregates EHR data with administrative data for comprehensive analysis.
• On-Demand Analytics: Supports internal and external research through on-demand analytic tools.
• Governance Processes: Establishes robust data governance and privacy protection.

The SDC includes a wide range of health data variables, such as:

• Demographics: Age, gender, ethnicity, etc.
• Health Behaviors: Lifestyle factors, medication adherence, etc.
• Clinical Information: Diagnoses, treatments, outcomes, etc.

• Data Complexity: Navigating and integrating diverse data sources can be challenging.
• Privacy Concerns: Ensures strict adherence to privacy and regulatory standards.
• Access Restrictions: Requires compliance with institutional and ethical review processes.

• Sharing Health Data: The Why, the Will, and the Way Forward
• CASE STUDY: The Sanford Health System and Sanford Data Collaboratie (SDC) - Sharing Health Data. National Academies Press (US)

Academic and research institutions can access SDC datasets by submitting research proposals and completing necessary compliance reviews.

Researchers must submit an application, including a detailed research proposal and conflict of interest disclosure. Access is contingent upon approval, ensuring responsible data use.

[1] Grossmann C, Chua PS, Ahmed M, Greene SM. Sharing Health Data: The Why, the Will, and the Way Forward. 2023.

[2] Grossmann C, Chua PS, Ahmed M, Greene SM. CASE STUDY: The Sanford Health System and Sanford Data Collaboratie (SDC) - Sharing Health Data. National Academies Press (US). 2022.