AI-powered care coordination and remote monitoring for skilled nursing facilities
TapestryHealth operates a clinical platform for post-acute care, built on a data-science stack (Python, Spark, Airflow, MLflow, Power BI) that supports remote patient monitoring, chronic care management, and telemedicine delivery. The org is heavily clinical-facing (39 of 52 active roles in healthcare) with ongoing work on algorithm accuracy, data pipeline reliability, and clinical outcome scorecards—indicating an engineering-to-operations balance typical of healthcare SaaS scaling from startup to institutional adoption.
Notable leadership hires: Medical Director, RN Team Lead
TapestryHealth is a Connecticut-based healthcare organization serving skilled nursing facilities across the United States. The company provides a technology platform combining 24/7 telemedicine, remote patient monitoring with radar and connected devices, chronic care management, and geriatric primary care delivered by dedicated clinician teams. The platform uses AI and machine learning to anticipate care needs, flag readmission risk, and integrate clinical workflows with operational data. Core work includes clinical pathway definition, cost optimization across vendor relationships, and compliance automation for coding (CPT, ICD-10) and reporting (CCM, RPM).
Python, SQL, Apache Spark, Apache Airflow, MLflow, Kedro, Power BI, and R. Infrastructure includes Microsoft Office 365 (Teams, SharePoint, OneDrive), NetSuite for finance operations, and Git for version control.
Yes. 39 of 52 active roles are healthcare-focused, split across mid-level (20), senior (19), and director/lead tiers (5). Notable open positions include Medical Director and RN Team Lead.
Chronic care management and remote monitoring service expansion, clinical pathway development, outcome scorecards, data pipeline improvements, vendor cost optimization, and automation of yearly code and compliance reporting.
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