Komodo Health, a health data company, has announced a new all-in-one offering for healthcare and life sciences companies to generate analytical insights.
MapLab will enable companies to generate insights into disease trends, treatment pathways, patient populations and other complex questions. The fully integrated tech stack aims to allow the industry to more rapidly unearth rich insights that can help reduce disease burden at scale.
“Progress in healthcare has been hampered by fragmented data scattered throughout the enterprise, disconnected analytic tools, and the absence of a reliable, flexible platform for insight generation,” Arif Nathoo, CEO and co-founder of Komodo, said in a press release. “With MapLab, we’re delivering a scalable, connected healthcare intelligence experience that the entire enterprise can use.”
MapLab includes robust data science tooling, customizable analytics dashboards and a generative AI analytic assistant. The offering integrates Komodo’s Healthcare Map, made up of de-identified data on more than 330 million patient journeys.
Despite the proliferation of data in healthcare, stakeholders face challenges in accessing it, Komodo has long argued. Companies may need to purchase individual data sets from legacy aggregators and try to stitch them together, Nathoo told Fierce Healthcare. Such an approach can be time-consuming as well as expensive and may hamper efforts to identify disparities earlier and deliver the right interventions, he said.
“Historically that whole process is totally broken,” Nathoo said. “It’s really hard to customize analytics and go really deep in them.”
MapLab can automate common analytic needs by leveraging a growing library of content, including analytic templates, codesets and dashboards, curated by Komodo experts. Users can then create interactive visualizations and dashboards of the insights in a digestible format.
Users can also integrate Komodo’s Healthcare Map with siloed data lakes and proprietary patient-level data sources for a more nuanced and granular view into patient populations, treatment pathways, outcomes and disease trends.
Data scientists and engineers can tap into the data in a secure, flexible development environment using programming languages and frameworks of their choice to build new apps, APIs and algorithms on top of Komodo’s platform. “We’re just sort of empowering the users to self-serve,” Nathoo said.
The new AI assistant leverages Komodo’s platform and pretrained large language models to quickly deliver dashboards, insights and information that are contextualized to unique business needs. It could help engineers look up and define terminology needed to do an analysis, for example, or help them identify the right analytic template for their needs, Nathoo said. The goal is to give analysts the tools needed to work with complex life sciences and healthcare data without having to do a lot of research.
The AI assistant is currently being tested in beta, Nathoo said, and will move to full release soon. Komodo is excited about the potential of generative AI in unlocking the broader potential of big data in healthcare.
“It signals the beginning of a much much bigger shift in terms of how work gets done and that makes us very excited,” Nathoo said.
The first MapLab module, meant for life sciences, will launch in November. Additional modules, including for healthcare, will follow in the months after.