Data Analytics

Big Data and Healthcare Analytics Services for MedTech, and Life Sciences

You're collecting more data than ever from devices, diagnostics, clinical trials, and patient platforms, but making sense of it is the real challenge. At Estenda, we help you unlock the full potential of your data through scalable, secure, and compliant healthcare data analytics solutions built for your unique environment.

Whether you're in MedTech, Digital Therapeutics, or Life Sciences research, we work with you to turn raw clinical, genomic, sensor, and imaging data into insights that drive better decisions, more personalized care, and faster innovation.

Let’s Talk Data & Image Analytics

Why Choose Estenda for Big Data and Analytics in Healthcare?

You need more than dashboards; you need clarity, speed, and compliance in a landscape full of fragmented systems, unstructured data, and evolving regulations. That’s where we come in.

At Estenda, we specialize in data analytics in the healthcare industry, helping you clean, structure, and analyze data from any source — EHRs, wearables, medical imaging, or connected devices. Our team builds custom analytics tools that support everything from risk prediction to clinical trial optimization and AI model development.

Here’s how we help you move faster and smarter:

Cloud-native analytics using AWS and Azure for healthcare data lakes, and mesh architectures.
AI-powered data curation to accelerate machine learning and predictive modeling.
Deep experience with HIPAA, GDPR, HITRUST, and global privacy frameworks.
Advanced visualizations with Power BI, Tableau, Jupyter, SAS, KNIME, R, and Python.
Data governance strategies that prepare your business for scalable, secure growth.

Our Healthcare Data Analytics Services

We provide comprehensive analytics solutions to help you collect, process, and derive insights from your healthcare data and images while ensuring compliance, security, and interoperability.

Healthcare Data Engineering & Governance

Prepare Your Data for Predictive and AI Applications

Poor data leads to weak insights. We help you curate and transform healthcare data for advanced analytics, training AI models, and building digital therapeutics tools that are clinically sound and regulatory-ready.

AI Model Training & Data Preparation
Automated Data Labeling & Annotation
Bias Detection & Explainability in AI Models

AI-Powered Data Curation & Transformation

Big Data & Cloud Analytics Solutions

Predictive & Real-Time Healthcare Analytics

Business Intelligence & Healthcare Data Visualization

Healthcare Data Engineering & Governance

Prepare Your Data for Predictive and AI Applications

AI Model Training & Data Preparation
Automated Data Labeling & Annotation
Bias Detection & Explainability in AI Models

AI-Powered Data Curation & Transformation

Big Data & Cloud Analytics Solutions

Predictive & Real-Time Healthcare Analytics

Business Intelligence & Healthcare Data Visualization

Healthcare Data Engineering & Governance

Prepare Your Data for Predictive and AI Applications

AI Model Training & Data Preparation
Automated Data Labeling & Annotation
Bias Detection & Explainability in AI Models

AI-Powered Data Curation & Transformation

Big Data & Cloud Analytics Solutions

Predictive & Real-Time Healthcare Analytics

Business Intelligence & Healthcare Data Visualization

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Real Results from Real AI in MedTech & Life Sciences

We’ve helped MedTech companies improve diagnostics, reduce R&D timelines, and scale faster with custom AI and machine learning solutions. Check out how we’ve delivered results—without compromising compliance or quality.

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Empowering Primary Care with PrescribeWell

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Empowering Primary Care with PrescribeWell

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Expanding Diabetic Retinopathy Screening for Indian Health Service (IHS)

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From Our Experts

Explore expert articles and blogs covering industry trends, best practices, and innovative applications of AI/ML in healthcare.

How to Implement a Data Driven Strategy for Your MedTech Company

Frequently Asked Questions

How can we use healthcare data analytics to accelerate clinical trials or R&D?

We help you integrate and analyze structured and unstructured data across trial sites, labs, and EDC systems. Our custom data analytics solutions support cohort selection, patient stratification, adverse event monitoring, and real-time dashboards for trial performance, all within regulatory frameworks such as ICH-GCP and 21 CFR Part 11.

Can you support real-world evidence (RWE) generation from device or patient-reported data?

Yes. Our healthcare data analytics services turn patient-generated data from wearables, apps, and connected devices into structured datasets for regulatory-grade insights. We also integrate this data with EHR and claims sources to support health economics, outcomes research (HEOR), and post-market surveillance.

We have siloed structured, unstructured, and imaging data. Can Estenda help us unify and analyze it?

Absolutely. We build big data analytics software that brings together structured, unstructured, imaging, and clinical data into unified platforms. With data normalization, annotation, and interoperability tools, we help you enable precision medicine, AI model development, and translational research.

How can predictive analytics help us improve device performance or patient adherence?

Using big data predictive analytics, we help you identify usage trends, predict non-compliance, and flag device malfunctions early. This is especially powerful for connected medical devices, digital therapeutics, or at-home monitoring programs.

Can you help us prepare datasets for machine learning in regulated environments?

Yes. Our team specializes in data curation, annotation, labeling, and bias detection, following best practices for medical AI development. We support explainability, version control, and traceability to meet requirements for algorithm validation and regulatory review.

We’re working on a digital therapeutic. How can you support our data analytics needs?

We provide custom software development and data analytics in healthcare tailored to digital health products. This includes data pipelines from patient apps and devices, predictive models for behavior tracking, and visual dashboards for clinicians or caregivers — all built to scale securely and comply with health data regulations.

What’s the first step to kick off a data analytics project for our MedTech or Life Sciences team?

Start with a discovery session. We’ll help you define use cases, assess your data readiness, and create a plan to design, implement, and scale your big data and analytics in healthcare. Whether you're exploring AI, operational dashboards, or research analytics, we tailor solutions to your business and regulatory context.