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 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.
Big Data for the Healthcare Industry
Big Data Analytics pulls together tons of data from things like patient records, clinical trials, and wearable devices. Then, AI and other tools dig through all that info to find patterns and insights. This helps doctors make smarter decisions, and pharma companies work more efficiently.
Data Warehousing
It stores big data in one central place for easy access and analysis data without pulling it from multiple sources every time. This makes getting insights, tracking trends, and making better patient care and drug development decisions faster and simpler.
Business Intelligence and Reporting
It takes data from different systems and turns it into easy-to-understand dashboards for healthcare data visualization. We help track key metrics, spot trends and make informed decisions. For pharma, BI helps monitor sales, research progress, and compliance.
NLP (Natural Language Processing)
This helps computers understand and process human language, such as doctor’s notes, patient records, or research papers. It automatically extracts useful information from text—symptoms or medical histories—and turns it into data that can be analyzed.
Computer Vision
It uses AI to analyze images, such as X-rays, MRIs, or lab results, to spot tumors or fractures more quickly and accurately by automatically detecting patterns. In pharma, quality control is sped up by visually inspecting drugs.
Automation Solution
Automation in healthcare and pharma uses tech to make things run smoother and faster. Hospitals use automated systems (EMR) to manage patient records and ensure everyone is on the same page, while drug companies might use robots (RPA) to package medications.
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.
Better care: Pinpointing at-risk
patients, customizing treatment plans,
and predicting illnesses.
Cost-cutting: Streamlining operations,
optimizing resources, and stopping
fraud.
Smarter decisions: Using data
to plan strategically and allocate
resources effectively.
Faster drug discovery: Creating
drugs, optimizing their structures,
and predicting their properties.
Personalization: Tailoring treatments
to individuals based on their genes
and medical history.
Improved image analysis: Making
and studying medical images more
accurate and efficient.
Tired of the same old healthcare routine?
Our data-driven solutions will shake things up.
Cases of Using Artificial Intelligence and Machine Learning
Check out a few case studies that show why VOLTERA will meet your business needs.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Healthcare Super Boost
Data analytics in healthcare help doctors make better decisions faster.
They can spot diseases quicker and determine the best treatments.
Data science in healthcare saves money and time.
Hospitals and drug companies can work more efficiently.
It speeds up the process of finding new medicines.
Instead of years of trial and error, AI can point to promising options much faster.
Healthcare data security makes medicine more personal.
Your treatment can be tailored just for you based on your unique body and genes.
Big data in healthcare helps predict problems before they get serious.
It’s like a health crystal ball but based on real data.
It helps make sense of healthcare big data.
There’s too much for humans to read, but AI can find important patterns.
Data in healthcare makes life easier for patients.
They can spot diseases quicker and determine the best treatments.
Don't wait any longer!
Contact us today to learn how data science and AI solutions will transform your healthcare organization.
VOLTERA Values for Healthcare and Pharma
In our client work, we strictly adhere to the company’s three philosophical values: flexibility, cooperation, and focus on results. Here is how this is reflected in the healthcare and pharmaceutical industries.
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
