#USA #AI #New York #healthcare #TextQL

TextQL Unveils Healthcare Vertical with AI-Driven Solutions

On October 9, 2025, TextQL announced the launch of TextQL Healthcare, marking a pivotal bold step in the healthcare data management field. The initiative leverages advanced AI technology to confront the complex data landscape that healthcare providers navigate daily. This project is backed by a formidable Executive Advisory Board consisting of industry leaders who serve over 120 million Americans, thereby presenting a significant opportunity for transformative advancements in data processing within health systems, payer organizations, and providers.

Revolutionizing Data Management in Healthcare

TextQL's autonomous AI agents are engineered specifically for data-heavy workloads faced by healthcare entities. These agents not only perform data integration but also execute detailed analytics and reconciliation by crafting and running sophisticated SQL queries, Python scripts, and other analytical codes—all within environments that comply with healthcare regulations. This innovation allows them to traverse vast arrays of data across different systems, solving previously insurmountable problems at large-scale enterprise levels.

Given the challenges posed by the multitude of disparate Electronic Health Records (EHRs) and systems, it is no surprise that a staggering 90% of data requests remain unresolved due to a scarcity of qualified analysts. TextQL's AI solutions shift this narrative—from days of manual labor to mere seconds for data processing. This significant decrease in time opens avenues for previously unreachable insights, ensuring that critical data analyses can be performed swiftly.

Partnership with Lumeris to Enhance Care Management

In addition to launching its healthcare division, TextQL has formed a strategic alliance with Lumeris, which aims to embed AI-driven analytics into care management workflows directly. This initiative is designed to reshape how healthcare systems retrieve and utilize population health data. By connecting TextQL’s advanced framework with Lumeris’ robust data infrastructure, these autonomous agents can execute queries on complex datasets seamlessly, translating data into actionable insights for care teams without the need for conventional SQL queries.

Removing the technical obstacles between clinical teams and their data not only enhances efficiency but is essential as healthcare organizations grapple with increasingly intricate patient populations and their accompanying demands for quality care. This collaboration highlights how AI agents can play a crucial role in scaling value-based operations while alleviating administrative workloads.

Harigovind Singh, Senior Vice President of Engineering at Lumeris, emphasizes the importance of accelerating both speed and accuracy in data analytics. “TextQL enables analytical functions across our clinical and operational teams to merge data from various sources efficiently, analyze population health trends, and extract timely, actionable insights. This transition directly leads to significant operational efficiencies and productivity gains,” he noted.

The Role of the Healthcare Executive Advisory Board

The formation of the Healthcare Executive Advisory Board is central to shaping the future of TextQL Healthcare’s product offerings and ensuring their relevance within the market. This board is equipped with seasoned experts from diverse backgrounds, including Sam Mohanty, who leads AI Innovation at a women's wellness company, and Jean-Claude Saghbini, CTO at Lumeris Technology. Their collective experiences will play a vital role in refining product designs, validating essential use cases, and accelerating the enterprise's integration of AI while overseeing responsible practices in healthcare.

What Sets TextQL Apart

TextQL differentiates itself through a variety of aspects that enhance its operational efficiency:

• - Unmatched Security and Flexibility: With SOC 2 Type II certification and HIPAA compliance, TextQL offers on-premise deployment options that cater to even the most risk-averse healthcare systems.
• - Rapid Value Realization: Users can deploy systems on Monday and access insights by Tuesday, eliminating lengthy implementation delays.
• - Functionality of AI Agents: Unlike competitors, TextQL's AI agents don’t just analyze data—they also write SQL, execute complex data science notebooks, craft semantic layers, and integrate seamlessly with EHRs and various databases.
• - Comprehensive Data Analysis: TextQL’s agents are proficient in analyzing both structured data (like claims and clinical records) and unstructured data (such as clinical notes) efficiently.
• - Intrinsic Healthcare Intelligence: Its built-in semantic ontology understands critical medical terminologies and workflows, ensuring clinical relevance throughout data utilization.

Conclusion

TextQL’s unprecedented entry into the healthcare sector with autonomous AI solutions reflects its commitment to improving healthcare delivery through smarter data management strategies. By fostering powerful partnerships and leveraging expert insights, TextQL aspires to lead the industry towards a future where data informs patient care more effectively than ever before. Founded in 2022 and based in New York City, TextQL looks set to redefine the boundaries of analytics within healthcare, establishing a new paradigm in operational efficiency and patient outcome.

For more information, visit TextQL.