Outcomes and Evidence-Based Practice Support

MindLinc Quality Improvement Tools and Processes: MindLinc provides customers with all of the tools to seamlessly integrate, manage, evaluate and improve behavioral health treatment at all levels. Clinicians administer scales, assessments and diagnostic instruments and combine it with information collected from patient self-administered questionnaires, surveys and scales to identify problems, develop treatment plans, and implement interventions. Customers employ the Decision Support Engine to establish and enforce clinical practices and guidelines. Customers use MindLinc's clinical outcomes data for retrospective decision support, and the MindLinc Global Database (all participating customers) to share anonymized data for research and benchmarking purposes.  

·        Decision Support Engine allows DBA to apply rules on any field within system 

·        Psychiatric Outcomes Measurements: Tracking tool for measuring outcomes, treatment plan progress, symptoms, side effects, stressors, suicide risk factors, and scale results 

·        Institutionalization Benchmarking (Normalization): Global Database (all customers) to share anonymized data for research and benchmarking purposes. 

·        Behavioral Health Wikipedia with research, evidence-based practices, customer best practices sharing environment 

Evidence Based Practice: Duke collaborates with many other EBP leaders (e.g., Robert Drake, MD at Dartmouth) to use MindLinc to implement, test and refine Evidence Based Practices.  MindLinc's discreet data element design and decision-support engine combined with Duke’s behavioral health expertise and Evidence Based Practice collaborations help customers improve quality of care.

Providing clinicians, patients and families with the right information at the right time in order to make the right clinical decision