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  5. ›NEW RFP 1978204 Clinical Decision Engine Implementation

Dallas County Hospital District d/b/a Parkland Health·Texas

NEW RFP 1978204 Clinical Decision Engine Implementation

Closes 5/26/2026$2M – $5MRequest for Proposal
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Description

Parkland Health is seeking a vendor to design, implement, and support a cloud‑based Clinical Decision Support (CDS) engine that will be embedded within the Epic electronic health record. The solution must provide evidence‑based care pathways, order sets, and clinical protocols, incorporate predictive‑analytics capabilities, and enable subject‑matter experts to create or modify content with minimal IT intervention. The contract includes full implementation services, training, ongoing maintenance, and robust analytics reporting, and carries a mandatory 25 % MWBE participation goal. • Cloud‑based CDS platform integrated in real‑time with Epic via HL7/FHIR or native interfaces. • Predictive‑analytics/AI components that are explainable and continuously monitored for bias and performance. • Full implementation lifecycle: project planning, pathway configuration, testing, go‑live support, and end‑user training. • Governance tools for version control, audit trails, and approval workflows. • Ongoing reporting & analytics on clinical, financial, and operational outcomes, with a 98 % uptime SLA.

Attached files

Contact

Karen Robins(Contract Negotiator)

Key dates

Opened
5/7/2026
Questions due
5/18/2026
Pre-bid meeting
5/11/2026
Closes
5/26/2026
Duration
3 years

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
511210
Solicitation №
RFP# 1978204

Budget estimate

$2,000,000 – $5,000,000

The solicitation does not disclose a total contract ceiling, but similar enterprise‑level Clinical Decision Support implementations for a large health system typically range from $2 million to $5 million over a three‑year base period (including software licensing, implementation services, training, support, and analytics). Factors influencing the final amount include the breadth of Epic integration, the depth of AI/ML functionality, the number of care pathways to be deployed, and the level of ongoing support required.

AI estimate from the solicitation

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