Real-Time Intelligence for Patient Care and Scientific Discovery
Unify clinical, operational, and research data to power AI-driven, real-time decisions with the trust and governance healthcare and life sciences demand.
Trusted by healthcare and life sciences innovators
Healthcare delivery has expanded beyond hospital walls into virtual care, remote monitoring, and integrated delivery networks. As care becomes continuous and distributed, delays between data capture and decision-making directly impact outcomes, operational efficiency, and patient experience.
Genomics, imaging, IoMT devices, claims, and real-world evidence are generating unprecedented volumes of data. When these data streams remain siloed across transactional systems and analytics platforms, organizations struggle to translate insight into timely clinical or operational action.
Clinical decision support, prior authorization automation, pharmacovigilance, and drug discovery increasingly depend on AI models operating on sensitive, regulated data. When models rely on stale extracts or disconnected stores, trust, auditability, and safety become harder to guarantee.
Fragmented patient data slows clinical response
EHRs, claims systems, labs, and device platforms operate in isolation, forcing teams to reconcile multiple sources before acting. This delay reduces care coordination effectiveness and increases administrative overhead.
What’s needed:
A unified data foundation that makes live clinical and operational data instantly queryable across domains without manual reconciliation.
Batch pipelines delay operational visibility
Revenue cycle, bed management, and prior authorization workflows often depend on overnight refreshes. This creates blind spots in capacity planning, cash flow forecasting, and utilization management.
What’s needed:
Continuous ingest and analytics on streaming operational events with sub-second access for frontline and executive teams.
AI models lack governed, real-time context
Clinical and research AI initiatives frequently run on copied datasets outside core systems, increasing governance risk and limiting model relevance. Stale context undermines accuracy and clinician trust.
What’s needed:
An AI-ready platform where models operate directly on live, governed data with full auditability and consistency.
Scaling research workloads strains infrastructure
Genomic pipelines, clinical trial analytics, and pharmacovigilance systems demand both high-volume ingest and complex analytical queries. Traditional architectures require separate systems for transactions and analytics.
What’s needed:
A single engine that supports concurrent operational and analytical workloads at scale without sacrificing reliability or performance.
Compliance requirements increase architectural complexity
HIPAA, FDA, and CMS expectations demand traceability, data lineage, and consistent reporting. Multiple data copies complicate audits and increase risk exposure.
What’s needed:
Centralized governance with transactional correctness and consistent, real-time reporting across operational and analytical workloads.
Unified operational and analytical processing
SingleStore brings transactions and analytics together in one real-time engine, enabling clinical systems, operational dashboards, and research analytics to run on the same live data foundation.
Real-time ingest and decisioning
Streaming clinical events, device telemetry, and claims data become instantly queryable, allowing care teams and operations leaders to respond as conditions evolve rather than after batch refreshes.
High concurrency for distributed care
Thousands of clinicians, analysts, applications, and AI agents can access the same data simultaneously without performance degradation, supporting enterprise-wide visibility and collaboration.
ACID compliance for regulated environments
Full transactional correctness ensures patient records, claims, and research data remain accurate and auditable, even under high load and distributed access patterns.
AI-ready data foundation
Structured, semi-structured, and vector data coexist in one platform, enabling clinical decision support, drug discovery models, and agent-driven workflows to operate on live, governed data.
Integrated delivery networks require real-time visibility into admissions, discharges, transfers, staffing, and device data. Fragmented systems create blind spots in capacity and patient flow. A unified, real-time platform enables continuous monitoring and faster interventions, improving throughput and patient outcomes.
Payers and providers face high administrative burden from prior auth and claims workflows. Batch-based systems slow approvals and increase denial rates. Real-time data access and AI-assisted decisioning streamline reviews, accelerate reimbursement, and reduce manual workload.
Biopharma organizations must detect adverse events quickly across global data sources. When safety data arrives in delayed batches, response times increase. Continuous ingest and analytical processing support faster signal detection and regulatory reporting.
Trial operations generate large volumes of structured and semi-structured data across sites. Disconnected analytical systems delay insights into enrollment, protocol adherence, and outcomes. A unified platform supports live monitoring, improving decision speed and trial efficiency.
Connected medical devices stream continuous telemetry from hospitals and homes. Without real-time analysis, anomalies go unnoticed until escalation. High-throughput ingest and instant analytics enable proactive intervention and improved patient safety.
UCB, a global biopharmaceutical leader focused on transformative therapies for severe immunology and neurology disorders, faced slow data access and low performance from legacy systems that hindered early stage discovery workflows. To empower scientists worldwide and shorten insight cycles, UCB selected SingleStore’s real-time data platform for its ultra-fast queries, scalability, and high concurrency.
Key metrics & impact
Reduced query latency over 30× - from minutes to ~20 seconds.
Batch refresh performance improved over 48× - from 4 hours to 5 minutes.
Enabled self-service data access for ~800 scientists globally.
Scalable platform supporting trillions of rows and concurrent analytics.
“Thanks to SingleStore, we can do more and do it faster, which is invaluable to our research.” - Frédéric Vanclef, Senior IT Expert, UCB
Faster clinical decisions
Live, unified data enables care teams and operations leaders to act immediately, reducing delays that impact outcomes, throughput, and patient satisfaction.
Simplified data architecture
Consolidating operational and analytical workloads reduces system sprawl, integration overhead, and maintenance costs while improving reliability.
Scalable research and innovation
A single, high-performance foundation supports expanding data volumes from genomics, imaging, and real-world evidence without constant re-architecture.
AI-ready organization
By grounding AI initiatives in real-time, governed data, organizations accelerate innovation while maintaining compliance and trust.
Stronger governance and trust
Consistent, auditable data across clinical, operational, and research domains improves regulatory posture and strengthens stakeholder confidence.
Power Real-Time Healthcare and Life Sciences Decisions Today
Unify clinical, operational, and research data on one real-time foundation built for AI and regulated environments.