For Value-Based Care and Superior Member Experience
Tredence helps leading healthcare organizations move toward value-based care by modernizing data and analytics ecosystems. By bringing data together using advanced data engineering, AI/ML, and healthcare analytics, we deliver smarter insights and personalized experiences that support a member-first healthcare ecosystem built for the future.
Don’t just take our word for it!
“Tredence has accelerators that can address different steps in the data flow journey. If you want to build data quality checks, do ingestions, create data models, enable semantic layers that can go into self-service consumption, they have built all these accelerators at every step in the journey. The combination of all these things is what made our journey faster.”
Division Director, Head of Data Architecture & Governance
“Tredence’s risk scoring tools and workflow, gives us the opportunity to predict patients’ disease progression and the risk they will be admitted or readmitted to the hospital with emergency or other medical events. This information enables us to deliver targeted interventions, enhancing population planning and patient outcomes and reducing the need for costly emergency services.”
SVP of Data & Clinical Solutions
“Our vision at Marquee is to take this evolving technology and apply it to transform dental care while improving the patient and the doctor experience. Our partnership with Tredence supports this vision.”
Chief Executive Officer
“Tredence demonstrates deep industry expertise which compliments their deep Databricks’ platform understanding. Coupled with Tredence' pre-built accelerators specifically in supply chain, we have gathered significant momentum together and I am confident of significant growth together in the near future.”
VP & GM of Healthcare & Life Sciences
Tredence helps leading healthcare organizations unify fragmented data to enable real-time intelligence. The 360-degree view enables improved member experience, and delivers cost-efficient outcomes.
Managing complex, fast-growing data is a foundational challenge that every healthcare enterprise faces. They need a scalable, secure, AI-ready data foundation. Tredence helps unify siloed data through cloud-native modernization, deploy domain-specific data models, and activate the power of AI for faster decisions.
Our offerings span AI advisory, data engineering, and healthcare analytics to advance value-based care, elevate member and patient experiences, improve clinical outcomes, and optimize operational efficiency.
At the center is ATOM.AI—an accelerator ecosystem with 150+ AI/ML solutions and 12+ GenAI agents that deliver insights in weeks. With deep domain expertise, Tredence turns AI potential into measurable impact for healthcare enterprises.
Deliver measurable value in care, cost, and operations through a unified, governed, AI-ready healthcare data layer.
Connect EMRs, devices, and third-party data with a clear modernization plan. Begin the journey to smarter care with data maturity assessment, a migration strategy, and AI-ready platforms that enable faster, more informed decisions.
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Unify data, automate quality checks, and enable real-time model observability wit Tredence accelerators like EMPI, DQuest, and MLWorks. Our data catalogue simplifies metadata management and streamlines compliance building a trusted, AI-ready foundation.
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Get a 360-degree view with pre-built unified healthcare data model across clinical, claims and operations having coverage for use cases and KPIs across population insights, value-based care, RCM, clinical operations, financials and supply chain.
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Enable “right care, right time” decisions through predictive AI and intelligent workflows. This supports chronic disease management, cost optimization, and the shift to value-based care using tailored risk scores, cohort analytics, and operational insights.
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Transform critical healthcare workflows—accelerating decisions, reducing administrative burden, and improving patient care with Tredence’s GenAI-powered use cases - prior authorization, denial management, and clinical document summarization—all with built-in governance and quality so you can scale safely.
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Streamline decisions, elevate member experiences, and improve care outcomes leveraging our AI solutions to accelerate shift to value based care.
Create a single, trusted patient view by integrating fragmented payer and provider data. Use ML-powered EMPI and GenAI-driven tools for data quality assurance and fraud detection, strengthening compliance and improving downstream analytics.
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Leverage unified patient data to identify high-risk patients, forecast outcomes, and optimize healthcare resources. Employ AI-driven risk stratification and predictive analytics to enable smarter, proactive interventions.
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Extend predictive insights into action through explainable AI, clinical decision support, and remote patient monitoring. Allowing care teams to identify risks early, personalize care experience, and enhance care co-ordination and outcomes.
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Reimagine patient participation through GenAI-driven chatbots, personalized outreach, and medication adherence monitoring. Deliver connected, proactive experiences that strengthen trust, improve compliance, and elevate overall care quality.
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Reduce 70% of manual effort by streamlining prior authorization with a network of Agentic AI accelerators improving first-pass approval rates. Extract clinical data, interpret payer rules, and auto-generate compliant requests for an efficient and accurate turn-around.
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domain, data, and technology experts
KPIs the unified healthcare domain data model
solution accelerators optimizing the care lifecycle
co-innovating with Hyperscalers and Data & AI ISVs for enterprise-grade transformations
with extensive customer recommendations across multiple engagements
We co-build and co-innovate with the leading cloud and AI leaders
Accelerating enterprise data modernization and AI innovation as a Databricks Elite Partner.
Driving business transformation with AI as a Google Cloud Partner for Retail & Wholesale.
Driving data and AI innovation as a Snowflake Elite Partner through AI Data Cloud services.
Driving scalable decision intelligence as a Microsoft Solutions Partner - Data & AI Azure expert.
Accelerating enterprise data modernization and AI innovation as a Databricks Elite Partner.
Driving business transformation with AI as a Google Cloud Partner for Retail & Wholesale.
Driving data and AI innovation as a Snowflake Elite Partner through AI Data Cloud services.
Driving scalable decision intelligence as a Microsoft Solutions Partner - Data & AI Azure expert.
A large senior-focused health and home company sought to create a 360-degree view of member information, consolidating data from multiple providers. The company’s member data was fragmented and siloed, harming clinical efficiency and outcomes.
Tredence developed an enterprise member360 data hub with data models, key performance indicators, and AI and ML risk models. The solution, based on Azure and Databricks, identifies unique individuals, normalizes data formats, and eliminates duplicate records across millions of data points.
The solution further integrates member, social determinants of health, and clinical data to reimagine workflow for clinical operations, actuarial, finance, and business intelligence teams. Staff gain risk-scoring tools and workflows to predict patients’ disease progression, deliver targeted interventions, and enhance operations.
33% reduced emergency room visits
40% improvement in the medical loss ratio
50% improved member engagement
95% enhanced patient satisfaction
A large U.S. home health organization wanted to modernize its data environment and support a shift to value-based care. Its on-premises systems were fragmented and hard to scale. Data was siloed, costs were high, and the organization was not ready to adopt AI, ML, or GenAI.
Tredence, working with Databricks, built a unified cloud-based data platform with strong observability and data monitoring capability. The platform brought together patient, provider, payer, office, and staff data into a single, trusted view. It also created dedicated data marts for finance, operations, quality, and recruitment. A self-service BI layer using Sigma allowed teams to access insights across the organization.
The new platform replaced multiple legacy systems and simplified analytics. It supported different user roles with self-service access and enabled faster, data-driven decision-making.
70% reduction in platform costs
30% faster time-to-market for KPIs
30% improvement in operational efficiency
A leading paediatric healthcare organization wanted to upgrade how it handled clinical data. It was using a third-party reporting system that could no longer keep up. Data lived in different systems, took time to come together, and relied heavily on manual reports. This slowed down decisions, made value-based care harder to support, and limited visibility into a child’s overall health.
Tredence worked with Databricks to build a cloud-based unified healthcare data and analytics platform using pre-built accelerators. The platform brought clinical and claims data from EPIC EHR into a single enterprise data warehouse. A FHIR-based data model enabled interoperability, and Patient 360 capability to support use cases like risk stratification, ACO reporting, and OrderSets Explorer.
With the new platform in place, the organization reduced its dependence on costly third-party tools. Teams could access clinical data faster, and clinicians had a clearer view of patient information. This helped support more informed decisions and more personalized paediatric care.
30% cost savings by reducing third-party dependencies
Faster rollout using pre-built data models
Better visibility into clinical data and patient insights
A global biotechnology company used manual processes to review and integrate unstructured data and identify key opinion leaders (KOLs) who could amplify knowledge of their products.
The company worked with Tredence to develop a GenAI-powered graph analytics solution, based on Databricks, John Snow Labs, LangGraph, and NetworkX technology. The tool auto-extracts knowledge from 50K medical science liaison interactions and 30K publications.
Users can now analyze and visualize relationships between doctors and institutions, identify KOLs, and quantify their influence. The tool also enables biotech staff to use the right channel to interact with these experts at the right time.
80% reduction in manual efforts
30% increase in discovering top KOLs
400K records processed per disease area
80% overall solution automation
A multinational pharmaceutical company’s data and technology silos impeded its ability to identify trends, prioritize repairs, and plan scheduled equipment shutdowns. As a result, the company experienced high issue resolution timeframes and extended asset downtime that harmed production throughput and quality.
Leaders sought to deploy an asset traceability and maintenance optimization solution that would enable teams to proactively identify issues and enable predictive maintenance to enhance overall equipment effectiveness (OEE).
Tredence built and deployed a solution based on Azure and Databricks to ingest asset data and leverages a domain-specific asset and batch data model to enable asset optimization and predictive maintenance. An interactive asset traceability graph enables teams to rapidly identify assets and batches and related deviations and use graph analytics to zero in on critical scenarios.
In addition, a predictive model integrates with existing machine applications to schedule predictive maintenance, driving asset and batch throughput.
12% reduced asset mean time to failure (MTTF)
7% decreased asset maintenance costs
12% improved asset throughput
15% higher production uptime
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