Health plans in the U.S. face challenges in improving measurable outcomes for their members and programs. They need advanced, HIPAA-compliant SaaS platforms leveraging AI, NLP, and ML technologies to optimize risk adjustment and quality improvement programs. These platforms should provide intelligent automation for HEDIS pre-audit, enabling efficient clinical data retrieval and analysis from medical records and insurance data for Medicare, Medicaid, and Commercial plans. By reducing resource consumption and offering robust analytics, such solutions empower managed care organizations to meet critical deadlines, enhance provider outreach, and streamline medical record retrieval, coding, abstraction, and reporting processes.

Virtual care platform helping hospitals to work on the aim of NHS maximizing virtual wards across the country to reduce the number of stays within the hospitals and addressing the staff shortage problem. This will be a cloud-based technology platform for remote patient monitoring and engagement at virtual wards. It enables personalised virtual care through assigned care pathways predicting risk scores through vitals and questionnaires and through specially tailored educational content for encouraging patient engagement during their treatment. Each of the assessment questionnaire is being assigned with a specific score based on which risk score is being generated based on the answers from patients.

The behavioral healthcare industry has very specific needs and has its own unique requirements that cannot be accomplished by off the shelf product. It also has limited financial resources available to spend on technology solutions.