Data is the foundation for driving experiences, efficiencies and outcomes in healthcare. That said, healthcare data is very complex, and to add to that there has been a deluge of data from various sources, that needs to be harnessed to drive patient-centric healthcare in a competitive marketplace.
Interoperability is crucial for tapping into this data deluge especially to drive connected and coordinated care for improved outcomes aided by data-driven decision support. It can also significantly reduce administrative burden and patient/provider experiences.
Artificial intelligence (AI) is poised to revolutionize the healthcare industry by automating tasks, generating insights, and augmenting human decision-making. However effective AI requires a reliable data foundation which in turn relies on connected ecosystems.
Coforge, with its breadth and depth of technical capabilities and domain knowledge, can help Med Tech organizations engineer world-class healthcare and life sciences data-driven products/platforms:
- Interoperability engineering leveraging choice of EAI tools / interface engines and industry standards such as HL7, FHIR, X12, DICOM
- Data & analytics engineering across the data value chain including data ingestion, curation, aggregation, assetization, visualization and reporting, leveraging prebuilt solution accelerators and industry-specific models
- AI engineering including use of coding copilots, infusion of AI into core functionalities, developing predictive analytics models and ML Ops (AI factory model)
Connect with us to learn more about how we can accelerate your product engineering journey.
