The industry-wide imperative of improving healthcare while reducing costs can only be achieved by uniquely combining applied technology innovations with the transformation of processes in healthcare. For example, the ability of healthcare process owners to make data- and knowledge-driven decisions can significantly reduce variability in care, improve efficiency in operations, and engage with patients to provide better outcomes.
By bringing different technologies together, participants across healthcare and life sciences project themselves meaningfully and differently to a broader set of constituents. We drive transformational programs for our customers with industry solutions, and we bring close partnerships with leading health systems to jointly create, validate, and market innovations for the industry.
Data-related projects and programs are the heart of an organization’s ability to introduce new products and services at a faster pace, optimize costs, and operate processes most efficiently. We help organizations achieve these outcomes by developing their data and governance strategy, building infrastructure to digitize data, and building AI and cognitive applications on top of data.
Genomics & Multiomics Data Analysis & Integration
Helping build end-to-end bioinformatics and software solutions for Genomics/Multi-omics data analysis and integration for variant annotation, genotype-phenotype correlations & Biomarker identification for precision medicine
Molecular Biology and Analytical Instruments
Helping build products for leading instrument vendors that generate, analyze, and manage data generated from spectrometry, chromatography, and genomics instruments.
Reimagining Patient Experiences via Pivot Labs
Bringing strategy, data science-based discovery, implementation, and real-life validation capability for industry players that deliver products and solutions for patients.
Whitepaper: Digital Twins in Healthcare
Persistent Systems helps RenalytixAI bring Kidney diagnostic solutions to market faster
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