ScreenX Health is Kernshell’s proprietary AI-powered patient screening and clinical intake platform. It uses artificial intelligence to automate and improve the patient screening process at the point of care ,collecting patient information through a digital interface, assessing clinical risk indicators using AI-driven analysis, and routing patients appropriately based on screening outcomes. ScreenX Health reduces the administrative burden on nursing and clinical staff, improves screening consistency and completeness, and integrates with existing EHR systems to document screening results without duplicate data entry.

 Yes. ScreenX Health is designed and deployed with HIPAA compliance as a foundational requirement. Kernshell executes a Business Associate Agreement (BAA) with all healthcare provider clients as required by HIPAA. Patient health information (PHI) processed by ScreenX Health is encrypted in transit using encryption. Access to patient data is controlled through role-based access controls and comprehensive audit logging. Kernshell can provide full HIPAA technical safeguards documentation as part of an enterprise procurement review.

ScreenX Health supports a range of standardized clinical screening workflows including: behavioral health screening , chronic disease risk assessment, preventive care gap identification, social determinants of health (SDOH) screening, emergency department triage intake, primary care new patient intake, and post-acute care transition assessments. The platform’s screening modules are configurable to match the specific clinical protocols and patient population priorities of each healthcare organization.

ScreenX Health is designed for healthcare provider organizations that conduct structured patient screening at scale: hospitals and health systems , primary care practices and federally qualified health centers , behavioral health and mental health providers, urgent care and emergency medicine networks, and accountable care organizations with value-based care screening requirements. The platform’s configurable screening modules and EHR integration capabilities allow it to be adapted to the clinical workflows and patient populations of each provider type.

ScreenX Health uses AI in two primary ways. First, Natural Language Processing (NLP) is used to structure and interpret patient-reported information from intake forms, converting free-text responses into standardized clinical data. Second, AI-driven risk stratification algorithms analyze screening responses against clinical criteria to generate risk scores and recommended clinical pathways ,flagging high-risk patients for immediate clinical attention and routing lower-risk patients appropriately. The AI layer is designed to augment clinical decision-making, not replace it: all AI-generated risk flags are presented to clinicians for review and final clinical judgment.