AI-Powered Healthcare & Life Sciences Analytics Services
Turn your fragmented healthcare data into faster decisions and measurable outcomes.
Turn Healthcare Data Complexity into Your Competitive Advantage
As a healthcare leader, you balance rising costs, regulatory pressure, and the expectations of members and patients — all while proving value. You know data is the key to lower cost of care and stronger outcomes, but it is siloed in slow, legacy systems inaccessible to AI.
We can be your analytics ally — helping you surface unseen patterns, streamline operations, and personalize every interaction — with AI-powered analytics across the healthcare and life sciences value chain.
Our Key Capabilities
Member Experience
Make every interaction easier — and turn feedback into loyalty
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Improve self-service:
Analyze digital and call-center data to guide members to the right channels. -
Analyze member feedback:
Use GenAI text analytics to uncover themes in surveys and NPS comments to reduce churn. -
Track key metrics:
Centralize CAHPS and engagement KPIs for easier benchmarking of every touchpoint.
Operational Optimization
Replace hours of manual work with one source of truth
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Centralize key data:
Combine demand and supply metrics into one dashboard so your team stops manually stitching together reports. -
Benchmark performance:
Compare client results against market baselines instantly, allowing your sales and account teams to demonstrate value. - Highlight growth opportunities: Use daily-updated insights to identify supply–demand gaps by location, helping you expand provider networks exactly where they are needed most.
Clinical Analytics
Drive better health outcomes through data-driven care
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Predict risks early:
Use predictive analytics to address health gaps before they lead to costly complications. -
Automate documentation:
Reduce the burden of medical charting with AI-powered scribing, giving clinicians more time for patients. -
Target the right care:
Direct preventive care to the members and patients who stand to benefit most.
Value-Based Care Enablement
Align cost, quality, and payment across your network
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Protect margin, reward outcomes:
Combine pricing and contract-performance analytics to tie payment to value. - Optimize your networks: Build provider networks for access, quality, and cost — backed by evidence rather than intuition.
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Accelerate revenue cycles:
Reduce leakage and speed reimbursement by bringing analytics to RCM.
Data Platform Modernization
Build a secure, AI-ready data foundation
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Migrate to lakehouse:
Move legacy, on-prem data to a modern lakehouse on Azure Databricks, with a Medallion architecture and reusable feature repositories. -
Ensure total trust:
Apply layered bronze/silver/gold quality testing and self-rectifying pipelines for reliable data. -
Democratize insights:
Provide your team with secure access to all data, enabling them to use AI tools for faster, independent decision-making.
Built for Both Sides of Healthcare
Payers and providers run different value chains and face different pressures. We bring analytics built for each, and connect them where member and patient journeys overlap.
Payer Value Chain
Health plans & insurers
1
Product Development
2
Distribution
3
Risk Scoring & Underwriting
4
Servicing & Administration
5
Claims Management
6
Fraud Detection
7
Network Management
Provider Value Chain
Health systems & providers
1
Patient Access & Scheduling
2
Clinical Care Delivery
3
Workforce & Capacity Management
4
Supply Chain & Procurement
5
Revenue Cycle Management (RCM)
6
Patient Experience & CX
7
Pharmacy & Drug Utilization
Watch our solutions in action
Prior Authorisation Workbench
Accelerate care delivery by automatically converting unstructured clinical documentation into submission-ready, policy-compliant prior authorization packets.
AI Assisted RCM
Maximize healthcare provider cash flow by automatically validating claims pre-submission, drafting policy-backed appeal letters, and recovering underpaid revenue.
Readmission Risk Prediction
Prevent costly hospital readmissions using explainable AI risk scoring that unifies clinical and social data into prioritized, actionable patient care worklists.
Our AI-Powered Solutions and Accelerators
PlanScan AI
Insurance data extraction — faster,
smarter, seamless
GenAI that extracts key fields from unstructured plan and policy documents, auto-populating forms so underwriters skip the manual sifting — accelerating insurance plan design and underwriting.
InsightLens
From Dashboards to Decision Boards with GenAI
GenAI-powered decision boards that go beyond visualizing data to explain the “why” behind every pattern and trend — turning complex datasets into clear, actionable stories.LASER
Your Answer to Enterprise Search Challenges
GenAI-powered enterprise search that finds information across all your workplace apps in seconds — scouring your content and serving up clear, actionable insights, securely.A Roadmap Built for Momentum
We map opportunities by effort and business value so quick wins fund the
foundational work — and nothing stalls waiting on a long platform build.
Quick Wins
- Call center analytics
- CAHPS performance analysis
- Survey analytics
- Digital adoption
Efficiency Drivers
- Capacity & resource allocation
- Workflow automation
- Member 360° view
- Preventive care
Strategic Transformers
- Predictive risk assessment
- AI-based medical scribing
- Care gap analytics
- RCM & contract performance
Guardians for Scaling
- Claims optimization
- Provider dispute resolution
- Pricing & network analytics
Our Success Story
Accelerating Drug Discovery with AI-Powered Image Analysis
A global life sciences conglomerate needed to speed up neurobiology drug discovery, where analyzing high-content cell images was slow, manual, and dependent on scarce expert biologists. LatentView built deep-learning models — a CNN to analyze image assays and a self-supervised denoising model — that automate the image analysis and interpretation, removing the manual bottleneck and sharpening image quality for better decisions.
85%
Reduction in throughput assay time— Reduction in throughput assay time
10x
More efficient denoising than previous models
Resolving Provider Disputes with Top-Driver Analysis
A leading US health insurance provider saw provider appeal volumes climb after shifting to an online portal for raising appeals. To find the root causes, LatentView built a classification model to distinguish appeals from non-appeals, ran descriptive and text analytics on provider comments to surface the top drivers, and delivered the findings through an executive Tableau dashboard.
$5 Mn
Annual savings from timely claims-filing insights
Cutting Data Consumption Time in Half with a Member 360° Foundation
A leading US health insurance provider had no central data hub — its data scientists worked around sub-optimal data management and slow on-premises servers. LatentView built a Member DNA feature repository spanning those legacy servers to Azure Databricks Unity Catalog, deployed a medallion architecture with rigorous ETL quality testing, and delivered a Tableau dashboard on top of the repository.
50%
Reduction in data consumption turnaround
$1.5M
Annual savings from automated quality testing
Sharpening Premium Pricing with Individualized Risk Models
LatentView improved premium pricing for an insurance provider by replacing inaccurate, aggregate risk tables with granular, individual risk profiles. By leveraging demographic, financial, and occupational data with machine learning, we calibrated precise baselines and used decile-based optimization for targeted pricing, resulting in more accurate premiums and significant annual profit.
$1.5 Mn
Incremental annual profit from the new pricing model
Streamlining Market Intelligence for a Medical Appointment Platform
Account teams at a leading US online medical appointment booking platform spent 1–1.5 hours per client stitching market stories from three to four separate dashboards. LatentView consolidated demand and supply metrics into a single, daily-refreshed market dashboard — and the supply-demand gap analysis it surfaced helped a client expand into two new markets.
~78%
Reduction in manual research time
258+
New bookings in the first two months
Optimizing Marketing Spend with Media Mix Modeling
A multinational pharmaceutical company allocated its marketing budget on expert judgment rather than evidence. LatentView built custom regression-based media mix models and a scenario planning tool across six brands — quantifying channel ROI and identifying where spend could be reallocated for higher return without sacrificing sales.
9.4%
Cost saving from spend reallocation
2.4%
Sales increase for a targeted brand
Move From Fragmented Data to Better Outcomes
Lower the cost of care, empower your teams, and improve every member and patient experience.
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