

Mosai is a care coordination software platform designed for the home-based care ecosystem. It focuses on unifying clinical data and processes to support patient journeys from the initial referral through to discharge.
The platform is intended for home health providers, hospice agencies, and medical practices. It supports the administrative side of care, such as referral intake and quality reviews for coding, while providing clinical tools for monitoring patient risk.
By integrating with common Electronic Health Records (EHRs), the software helps reduce data silos. This may assist teams in reducing delays in care and improving communication between healthcare stakeholders.
Buyers should verify if their specific EHR is supported and confirm how the predictive analytics align with their clinical monitoring requirements.
Supports automated patient intake through identification and classification of referrals.
Provides insights into patient progress, hospitalization risks, and mortality.
Supports secure communication between providers, physicians, and payers.
Uses generative AI to create summaries for patient referrals.
Connects with home health and hospice EHR systems to help centralize data management.
Using automated intake and quality reviews to manage the transition of patients into care.
Using predictive intelligence to identify patients at higher risk for hospitalization.
Facilitating secure data exchange between physicians and payers to help reduce care delays.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Mosai is designed for home health providers, hospice agencies, and physician practices.
Yes, it integrates with major home health and hospice EHRs, including Axxess, Matrixcare, and Homecare Homebase.
Mosai aligns with HIPAA, AICPA SOC, and HITRUST data security standards.
Source category: Healthcare
Source subcategory: Workflow Automation
Mosai is a care coordination platform for home-based care providers that supports referral intake and clinical risk monitoring using AI and predictive modeling. It is designed for home health and hospice agencies to unify data across stakeholders.