Have challenges seamlessly integrating AI into clinical workflows? We can help!

With 20+ years in building and connecting systems in healthcare and life sciences, Clinovera empowers innovative companies with deep data and workflow integration for AI solutions and other systems.
We have been working with a wide range of clients from medical software developers, to device manufacturers, to major Academic Medical Centers, helping them to develop innovative products and bring them to market quickly and cost efficiently.

AI solutions require organization-specific integration efforts that are far deeper and more advanced than traditional point-to-point “get data - set data” connectivity.  We utilize comprehensive processes and methodologies that include traditional systems integration with analysis and possible refactoring of new and existing clinical workflows and User Interfaces. These processes are built upon many years of interoperability expertise with leading Academic Medical Centers and commercial vendors, deep understanding of EHRs, and the level of exposure to every-day patient care that is hard to match.

AI implementations require lots of data and are directly impacted by the quality, completeness, and versatility of the data they rely on. We specialize in curation, normalization, cleansing and enrichment of clinical datasets for training and evaluating GenAI models, RAG implementations and other purposes in compliance with organizational data governance, privacy and security policies.

Clinovera team has been developing solutions based on traditional Machine Learning algorithms for many years, capitalizing on recent advances in Generative AI. Working with a variety of LLMs and other models, we have built our own AI solutions and integrated third party AI products and technologies for clients in operational care and clinical research.