SARA is designed to focus on clinical documentation review, coding accuracy & OASIS insights

HAMDEN, Connecticut—SimiTree, a provider of revenue cycle, coding and consulting services a provider of post-acute revenue cycle, coding and consulting services, announced SARA (SimiTree Assessment Review AI), a proprietary artificial intelligence (AI) platform designed to improve clinical documentation review, coding accuracy and operational efficiency for home health agencies. 

“SARA is the result of decades of clinical expertise combined with the analytical power of more than one million charts,” said Bill Simione, CEO and managing principal at SimiTree. “It was designed and built by clinicians, for clinicians, enabling them to deliver smarter, faster and more accurate chart reviews. SARA redefines what is possible in coding and documentation support for home health.”

SARA—which SimiTree said is powered by one million charts to train AI-enabled large language models and supported by a team that has been providing coding and OASIS services for 15 years—combines expert human review with advanced AI to help agencies meet these challenges while lowering costs and improving outcomes.

“We built SARA to directly address the operational and financial pressures home health agencies face every day,” said David Berman, COO of SimiTree. “SARA provides agencies with a scalable, intelligent solution that reduces administrative burden, accelerates turnaround times and delivers real-time coding and OASIS insights that drive better results.”

The company said SARA enables teams to return completed charts in less than half the time of traditional models while maintaining quality. The platform identifies ICD 10 primary and comorbidity codes, optimizes OASIS scoring and flags inconsistencies before charts are finalized, reducing denials and boosting first pass acceptance rates. SARA is supported by SimiTree’s quality assurance team of clinical nurses.


“OASIS assessments are the foundation of home health reimbursement and outcomes measures, yet they remain one of the most complex and error-prone assessment tools in health care,” said J’non Griffin, senior vice president of coding and OASIS/compliance at SimiTree. “SARA brings AI precision to OASIS and coding, improving patient assessment accuracy and optimizing reimbursement outcomes.”

Unlike typical software rollouts, SimiTree said its service requires no infrastructure or staff onboarding, allowing agencies to see results immediately and redirect resources toward growth and patient care.