Healthcare Data
Intelligent Synthesis

You can take big data in healthcare—from lab results to X-rays and Fitbit stats—and, with the help of our data science service, turn it into actionable insights, like figuring out the best personal treatment, not the average person with such a condition. Generative AI cuts through bureaucracy, speeding work up and freeing doctors and nurses to focus on caring for patients.

AI and Data Analytics in Healthcare

The common thread for our services is using data and AI to make things faster, wiser, and more efficient in healthcare and pharma. It’s turning data into actionable insights to solve business challenges, improve care, and streamline processes.

Healthcare Data Analytics Consulting

It helps companies tap into the power of AI and data to improve their operations, deliver better care, and advance innovation.

Generative AI Creates Care

Gen AI speeds up drug development, facilitates personalized treatments, and improves diagnostics, all while helping things run more smoothly.

Predictive Analytics as a Service

In healthcare and pharma, data and machine learning predict future trends, outcomes, and needs for data-driven choices that improve care.

Healthcare Data Science

Data science extracts insights from data, and in healthcare and pharma, it analyzes medical records, clinical trials, and genetic data to improve patient outcomes and drug development.

Clinical Data Integration

Centralize data from multiple EHR systems, integrate and standardize diverse healthcare data sources, improving accuracy in research and diagnostics.

DataOps Management

It makes it easier for healthcare and pharma companies to manage their data, ensuring everything is secure, accurate, and always ready to use.

Healthcare DataSolutions

We make things faster, smarter, and more accurate. Whether it’s simplifying how patient records are handled, speeding up drug research, or making remote care easier.

Sick of data headaches? We've got the cure.

Let's chat about how data science will solve your healthcare problems.

Business Benefits of Our Services in Healthcare and Pharma

By combining data science and Generative AI, healthcare and pharma companies get competitive advantages, improving patient outcomes.

01 Better care: Pinpointing at-risk
patients, customizing treatment plans,
and predicting illnesses.

02 Cost-cutting: Streamlining operations,
optimizing resources, and stopping
fraud.

03 Smarter decisions: Using data
to plan strategically and allocate
resources effectively.

04 Faster drug discovery: Creating
drugs, optimizing their structures,
and predicting their properties.

05 Personalization: Tailoring treatments
to individuals based on their genes
and medical history.

06 Improved image analysis: Making
and studying medical images more
accurate and efficient.

Tired of the same old healthcare routine?

Cases of Using Artificial Intelligence and Machine Learning

Check out a few case studies that show why VOLTERA will meet your business needs.

Don't wait any longer!

VOLTERA Values for Healthcare and Pharma

Flexibility

  • Shape-shifting AI: Models that adapt to different medical specialties or drug development stages

 

  • Regulation-ready: Quick pivots to meet ever-changing healthcare laws and pharma guidelines

 

  • Scalable from clinic to hospital chain: Solutions that grow with the client, big or small

Cooperation

  • Doc-and-dev dream teams: Pairing AI experts with healthcare pros to build spot-on solutions

 

  • Open-book AI: Transparent about how the AI thinks, so healthcare teams trust its suggestions

 

  • Cross-pollination: Sharing insights between healthcare and pharma (within legal bounds)

Results

  • Health outcomes that wow: Measurable improvements in patient care or drug discovery timelines

 

  • Show me the saved lives (and money): Clear metrics on both health impacts and cost benefits.

 

  • Continuous health check-ups: AI models fine-tuning based on real-world medical feedback

What Data Science technologies do we use?

Pandas

SciPy

TensorFlow

Numpy

ADTK

DBscan

G. AutoML

Keras

MLFlow

Natural L. AI

NLTK

OpenCV

Pillow

PyOD

PyTorch

FB Prophet

SageMaker

Scikit-learn

SpaCy

XGBoost

YOLO

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Still have questions?

How to set up and maintain data security in healthcare?
What are healthcare datasets, and why do they matter?
What services do healthcare data analytics companies usually provide?
Where does big data in pharma come from?
Describe big data analytics for pharma development.
How can pharma data analytics companies address business pain points?
How do we use big data and analytics for pharma?