MapLab Enterprise eliminates internal silos and time-consuming manual tasks to transform insight generation
The internal workflows at biopharma companies have long mirrored the state of healthcare data: fragmented, siloed, and inefficient.
But that’s about to change with the launch of MapLab® Enterprise, Komodo’s novel solution for insight generation that addresses the needs of teams across the product life cycle and their varying technical skill levels.
Based on a full-stack architecture that solves the data challenges plaguing Life Sciences, MapLab Enterprise enables every team — Clinical Development, Medical Affairs, Commercial, and HEOR — to use the same source of truth, maximize the power of AI and no-code software, and leverage chainable analytics to drive consistency, speed, and collaboration. The result: confident decision-making that optimizes performance across the board, from faster and more representative clinical trial recruitment to more accurate and powerful HEOR studies.
Technology that delivers a velocity advantage
MapLab Enterprise drives significant time savings that, in turn, bring therapies to market sooner and optimize commercial performance. Here’s how:
An NLP-based AI assistant
Get answers in minutes (vs. hours) that include a detailed explanation of how results were generated. Our generative AI assistant gleans insights from our industry-leading Healthcare Map®, your organization’s single source of truth for data analytics. Weekly data refreshes ensure access to the most up-to-date insights on treatment patterns, outcomes, utilization, and costs to give you a competitive edge in the market.
No-code analytics
Conduct analyses that historically spanned weeks in just minutes using out-of-the box, fully configurable analytics modules. A library of dashboard templates features 30+ common use cases, such as national drug projections for Commercial teams and a cohort builder with continuous-enrollment filtering for HEOR.
High-code environments
Reduce the time required to conduct a complex analysis or HEOR study by up to 20%. Chainable analytics enable insights that are created in no-code workflows to be leveraged in R, Python, and SQL workspaces. To gain even greater granularity and clarity, you can link first-, second-, and third-party data using universal tokenization to generate multimodal evidence.
Pre-integrated specialty data
Shave three to five months off integration timelines via access to highly curated, exclusive data sources that are pre-integrated and readily available, eliminating the need to identify, vet, integrate, clean, and de-duplicate data. Specialty data such as clinical observations and lab results can be used to create precise cohorts without writing any code.
MapLab Enterprise brings value on day one:
- Both non-technical users and seasoned data scientists can use natural language to quickly and easily engage the AI assistant and get answers to their most pressing questions. Follow-on prompts enable users to continuously drill deeper for more custom views of the disease area, patient journey, or commercial landscape
- AI-generated insights can then be leveraged in no-code, highly configurable dashboard templates. Users might choose to layer in specialty data that is already pre-integrated and available through the platform. Results can be shared with other teams to accelerate work across the enterprise
- Likewise, AI-generated insights and/or data analytics created via no-code dashboard templates can be leveraged in the high-code environment, where data scientists can link external data to generate custom analytics, save and share across teams, and schedule them to autorefresh
Because all workflows are powered by the same source of comprehensive, complete longitudinal patient-level data, teams see consistency in insights, make more confident decisions, and accelerate every facet of the product life cycle.
If you’re ready to gain time and cost efficiencies, accelerate timelines, and improve performance, request a demo of MapLab Enterprise. Talk to an Expert
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