Tame the Healthcare Data Torrent
One Solution, End-to-End Analytics Capabilities
Accelerate Time to Insight
Improve Patient Insight & Decision-making at the Point of Care
Proven & Agile Implementation Methodology
Tackle Social Determinants of Health
Patient healthcare data is fragmented across EMR, billing systems, specialty systems and claims silos. Interoperability promises to bring outside data in, but how will you integrate it with everything else? And what about data coming from internet-connected wearable and implantable devices? How will you connect all of it to the right patients, providers, facilities, and organizations?
TIBCO delivers a single source of truth and 360-degree view of a patient's healthcare history with:
- A common healthcare canonical mode derived from industry standards
- Multi-domain mastering of patients, providers, facilities, organizations, payers, and more
- Reference data harmonization, accelerating analysis and providing a gateway to industry metadata
Supported by pre-built components, healthcare professionals can accelerate time to insight, identify gaps in care, and free up resources in a resource-strained environment, enabling a closer focus on patients.
With TIBCO, providers can have one consolidated view of the Patient Journey—everything known about a patient from every source available. Additionally, they can see if a patient is due for their periodic A1C or LDL diabetes tests, when they last had an eye exam, or whether they are overdue for a mammogram or preventative screening.
With our proven standard, scoping and managing implementation tasks proceeds quickly. Tools like out-of-the-box mapping templates for the canonical model, out-of-the-box DQ & mastering rules, and pattern-based marts and metric algorithms get you up and running fast.
Incorporating social determinants of health (SDoH) into patient care is essential to better serve patients and communities. Unifying SDoH with key patient data such as drug, tobacco, alcohol, and social screenings; combining and harmonizing external sources; and analyzing in the context of geospatial relevance results in insights that will improve both individual and community health.