The Cluster provides investigators with:

• Research-ready, de-identified EMR datasets
• Assistance developing EMR-enabled case identification algorithms
• Natural language processing
• Real-time risk stratification and automated protocol activation for patient-tailored interventions
• Implementation of real-time decision support
• e-Coordination and monitoring of intervention processes
• Electronic ascertainment of patient-oriented, clinical, and resource-use outcomes

A unique, powerful tool is the Parkland Intelligent e-Coordination and Evaluation System (PIECES), an e-monitoring and coordination software platform that sits on top of the EMR. The PIECES software tracks and coordinates a broad variety of electronically ascertainable inpatient and outpatient intervention activities and outcomes, and notifies research staff in real-time of critical events or need for certain actions.

The Parkland Center for Clinical Innovation (PCCI) can also capture computerized information on a wide range of social determinants of health not readily ascertainable electronically in most settings including:

• Patient-level social disadvantage variables (income, occupation, home address changes, homelessness, emergency contacts [social support], language preference, and need for transportation assistance)
• Adherence behavior (Parkland pharmacy dispensing/refill data, outpatient appointment show rates) and neighborhood factors (income, education, poverty, crime, proximity to care, transportation, parks, and groceries)