HHS IHS - Evidence-Based Clinical Decision Support Service - MRAS

The Department of Health and Human Services (HHS), through the General Services Administration (GSA), is conducting market research to identify capabilities for providing a site-hosted, evidence-based clinical criteria software solution. This effort is directed at supporting the Parker Indian Health Center (PIHC) within the Colorado River Service Unit in Parker, Arizona. The overarching goal of this initiative is to ensure compliance with the Centers for Medicare and Medicaid Services (CMS) Conditions of Participation by enhancing the hospital's utilization review process. By implementing an advanced software solution, PIHC aims to streamline their operations, particularly within their Case Management department, which plays a crucial role in making utilization review determinations essential for Third Party Billing operations.

The work being requested involves delivering a comprehensive software solution that facilitates efficient hospital utilization reviews at PIHC. The contractor will be responsible for providing a site-hosted platform that allows clinical staff to evaluate medical necessity and appropriateness across various service areas. These include observation services, inpatient admissions, continued inpatient stays, discharge planning evaluations, ambulatory surgical services regarding setting appropriateness, and transitions of care to rehabilitation, subacute care, and skilled nursing facilities. The software must be user-friendly and designed to support expedited clinical workflows while ensuring accurate documentation required before claim submissions.

This evidence-based clinical decision support system will serve as a critical tool across multiple departments within PIHC. Its implementation is expected to enhance operational efficiency by ensuring that all necessary documentation aligns with CMS standards before billing processes begin. Moreover, the project underscores HHS's commitment to improving healthcare delivery through technology-driven solutions that facilitate informed decision-making and ultimately improve patient outcomes.