Specifications include, but are not limited to: MDCPS is seeking to procure the services of a vendor to Study, Develop and Implement evidenced based Intake, Assessment and Case decision support tools (also known as Structured Decision Making - SDM) into the Comprehensive Child Welfare Case Management System for Intake, Assessment and Case. The vendor must be willing to collaborate with MDCPS’s primary vendor implementing the new Comprehensive Child Welfare Information System (CCWIS) (RedMane) to align a project schedule parallel to the CCWIS implementation schedule. If the project is multifaceted, with MDCPS’s approval, parts of the project can be phased in, the successful vendor will respond to this RFP (Request for Proposal) detailing their methodologies and costs for the stated purpose of this RFP together with implementing and/or certifying the evidenced based SDM models to include, at a minimum, the following: • Project planning and startup activities, • Planning, studying/analyzing MDCPS policies, procedures, MS state laws, statues, and federal regulations to set forth an SDM that is in alignment with these guiding documents. This may also include interviews with relevant stakeholders • Assessing relevant data to determine a baseline of MDCPS’ current functioning and performance of Intakes, case practice and outcomes, along with Safety Assessments, Risk Assessments and other relevant case assessments. • Developing, Designing, Implementing and certifying an evidenced based Intake and Assessment, Safety and Risk Assessment, and other relevant case assessments. • Training of MCIA (Mississippi Centralized Intake & Assessment) staff, MDCPS professional development staff and other identified staff/caseworkers, on the use of the newly designed and implemented evidenced based SDM model. • Development of curriculum and training materials for MDCPS for all associated assessments of SDM. • Ongoing support, training and technical assistance including data analysis post implementation of the evidenced based SDM. • Implementation evaluation to ensure fidelity of the model, post implementation.