Healthcare Data Analytics Services

Medical data analytics consulting - ScienceSoft

Healthcare data analytics is a way to get actionable insights out of healthcare data and support fact-based decision-making. In data analytics since 1989 and in healthcare since 2005, ScienceSoft provides healthcare data analytics services to optimize customers’ clinical and business processes.

Need to Drive Value from Healthcare Data?

ScienceSoft provides end-to-end healthcare data services, offering data management in all forms, advisory and implementation services for analytics solutions to help you turn disintegrated healthcare data into valuable insights.

ScienceSoft Is a Leader in Healthcare IT Services Market in 2022 SPARK Matrix

ScienceSoft is featured as a leading healthcare IT services provider, along with Athena Health and Oracle Cerner. This achievement is a result of 18 years of tireless pursuit of technological innovation, made possible by ScienceSoft’s passionate team of healthcare IT experts who always strive to make a difference for patients and caregivers alike.

SPARK Matrix - Healthcare IT Services, 2022

About ScienceSoft

  • Data analytics and data science services since 1989, healthcare IT services since 2005.
  • Big data and image analysis services since 2003.
  • Data warehousing and business intelligence services since 2005.
  • Hands-on experience with HIPAA and HITECH.
  • Authorized AWS Solution Provider.
  • Quality management system for medical device software proven by ISO 13485 certification.
  • Microsoft partner since 2008.
  • Field-tested healthcare software security management approach.
  • ScienceSoft’s RPM solution won the Best Healthcare Technology Solution Award 2022 from Health Tech Digital.
  • Among key players of the medical image analysis software market, according to MarketsandMarkets and Coherent Market Insights.
  • ScienceSoft became a finalist for the Health Tech Award 2022 with its laboratory diagnostics software and the HTN Now Awards 2023 in the Excellence in Remote Patient Monitoring category.

Healthcare Analytics Services We Offer

Full healthcare analytics outsourcing

We take over:

  • Selection of a data analytics platform and a tech stack based on your needs and requirements.
  • Customization and implementation of a healthcare data analytics solution.
  • Compliance of the implemented cloud analytics solution with the healthcare industry regulations.
  • Maintainance and evolution of a cloud analytics solution to fit your business goals
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Healthcare analytics consulting

What we do:

  • Analyze the needs of your company to identify how it can benefit from data analytics.
  • Design a detailed healthcare analytics strategy.
  • Plan a data analytics implementation roadmap.
  • Provide advisory support during healthcare analytics project design, implementation, and evolution stages.
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Healthcare analytics implementation

We offer:

  • Thorough analysis of your healthcare data analytics needs.
  • Design of a tailored healthcare analytics solution.
  • Implementation of a secure and compliant medical data analytics solution.
  • Development of efficient analytics modules to complement the existing healthcare applications.
  • Support of the data analytics solution and other IT infrastructure elements (if required).
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Healthcare Analytics Solutions ScienceSoft Offers

  • Design of a healthcare data warehouse and data marts to structure healthcare data for analytical querying and reporting.
  • Protected Health Information (PHI) storage.
  • Integrated storage of EHR/EMR, ERP, HR management systems data, data from public medical databases, R&D results data, etc.

Healthcare business intelligence

  • Operational analytics (staff scheduling optimization, facility maintenance, claims management, etc.).
  • Patient analytics (patient segmentation, patient journey analytics, treatment plans optimization, etc.).
  • Financial analytics (financial fraud detection, financial risk management, etc.).
  • Performance monitoring of the healthcare staff.

Healthcare data visualization

  • Real-time self-service operational dashboards (hospital admissions and load, EMR/EHR data, etc.).
  • Strategic interactive dashboards (key performance indicators, patient trends, hospital performance, etc.).

Big data in healthcare

  • Capture and storage of EHR/EMR data, medical device data, data from patient apps, portals, other patient-related data.
  • Real-time analytics of medical device data.
  • Remote patient monitoring, alerting on trends and patterns in a patient’s condition requiring a doctor’s attention.
  • Personalized care plan recommendations.

Predictive analytics

  • Healthcare supply chain optimization and planning (ML-based demand forecasting, supplier risk management, etc.).
  • Disease management (ML-based prediction of patient readmissions, diagnosis validation, etc.).
  • Health insurance management (defining optimal health care plans, potentially fraudulent claims or high-value losses, etc.).

AI-enabled medical imaging

  • Establishing diagnosis.
  • VR-enabled 3D imaging to provide interactive education for practitioners and medical students.
  • AI-powered virtual assistants to provide patients with answers/recommendations based on their medical history, personal needs, etc.

Ready to Launch Healthcare Data Analytics?

Start with estimating how much your healthcare analytics solution may cost you.

ScienceSoft's Medical Data Analytics Portfolio

Implementation of a Data Warehouse and an Analytics Solution for a US Leading HIE Vendor

Data Analytics Solution for a US Leading HIE Vendor

  • Aggregation of patient data for medical risk probability analysis.
  • Role-based reports and dashboards:
    • Registered health problems 
    • Demographics dashboard 
    • The impact of diagnoses and medications on medical risk probability, etc.
Data Warehouse and Analytics Solution Implementation for a Medical Provider of Mobile Diagnostic Imaging Services

Data Analytics Implementation for a Mobile Diagnostic Imaging Services Provider

  • A data warehouse and analytics solution.
  • HHS-compliant reports and dashboards to track:
    • Company’s finances
    • Clinical outcomes
    • Resource utilization, etc.
Data Warehouse and Analytics Solution Implementation for 500+ Nursing Homes

Data Analytics Solution for 500+ Nursing Homes

  • A data warehouse and a 4-dimension universal analytical cube to consolidate and analyze data on:
    • Nursing home residents.
    • Contacts with residents.
    • Claims (invoices issued after encounters).
    • Transactions (invoices paid and due).
  • Standardized role-based reporting.
Data Warehouse and Analytics Solution Implementation for 200 Healthcare Centers

Data Analytics Implementation for 200 Healthcare Centers

  • Consolidation and aggregation of data from 200 databases for quality population health analytics.
  • Comprehensive reporting of data on medication inventory, clinical services, patient data, marketing activities, etc.

Our Customers Say

The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023

For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.

Analyzing patient progress indicators

to identify treatment anomalies and trends.

Report types:

  • Variations of outcomes based on demographic factors (age, income level, lifestyle).
  • Variations of outcomes based on a health organization’s internal factors (a specific physician, treatment, facility, and more).

Check data sources

Data sources:

  • EHR / EMR.
  • ADT.
  • Department-specific systems (Cardiology, Dentistry, Neurology, etc.).
  • Disease management/population health management.


Analyzing PGHD (patient-generated health data)

to enable constant monitoring of patients’ health status, identification of irregularities, treatment plan progress evaluation, early recognition of symptoms of complications, etc.

Report types:

  • Blood glucose levels (for diabetes patients).
  • SpO2 level changes (for COPD patients).
  • Overall trends on patients’ nutrition, hydration, temperature, weight, blood pressure, etc.

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Data sources:

Mobile patient apps and portals for:

  • Chronic condition management.
  • Appointment scheduling.
  • Medication intake tracking.
  • Post-surgery recovery support, etc.


Analyzing costs

to define the expenses for treating particular conditions or patients groups.

Report types:

  • Variations of expenses for treating specific conditions.
  • Relationships between patient outcomes and costs covering certain periods with insights on the results of changes in the care process.

Check data sources

Data sources:

  • EHR / EMR.
  • LIS.
  • RIS.
  • Department-specific systems.
  • Accounting system / ERP.


Extended cash flow reporting

to enable financial planning and optimization.

Sample reports:

  • Expected cash flow based on RCM data.
  • Actual cash flow.
  • Outstanding payments by specific payers (departments, facilities, diseases).
  • Actual ROI by the types of investments (new facilities, medical equipment, such as CT or MRI, etc.).

Check data sources

Data sources:

  • ERP or FMS.
  • Revenue Cycle Management.


Comprehensive dashboards, charts and diagrams

for transparent performance evaluation.

Report types:

  • Bed utilization efficiency.
  • Equipment utilization rates.
  • Operating rooms utilization.
  • Medication use.
  • Clinical HR analytics (employee qualifications, certifications, hiring, and more).

Check data sources

Data sources:

  • PMS.
  • EHR.
  • LIS.
  • RIS.
  • Workforce management system.
  • Department-specific systems.


Our Tech Expertise

DWH services and databases

Microsoft SQL Server

Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.

Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.


ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.

Data storage

Azure Cosmos DB

We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.

Cloud services

Big data

Apache Hadoop

By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.

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Apache Spark

A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.

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Apache Cassandra

Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.

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Apache Kafka

We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.

Apache Hive

ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led to 100x faster data processing.

Apache ZooKeeper

We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.

Apache HBase

We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.

Azure Cosmos DB

We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.

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Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.

Programming languages



10 years





ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.

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25 years





ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.

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Data visualization

Power BI


7 years

ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.

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Machine learning platforms and services

Machine learning frameworks and libraries



Healthcare software development services

We build HIPAA-compliant medical solutions with tailored functionality to provide enhanced medical care and increase patient and employee satisfaction.

See more: Medical software development

Telemedicine apps

We construct custom and platform-based telehealth apps leveraging big data streaming for:

  • Chronic disease management
  • Primary care
  • Acute care
  • Nursing care
  • Digital therapeutics
  • Neurology, etc.
See more: Telemedicine apps

Medical mobile apps

We develop handy mobile apps for patients, healthcare providers, and medical professionals.

See more: Healthcare mobile app development services

Internet of Medical Things (IoMT)

We provide advisory, implementation, and support services to deliver reliable IoT solutions for:

  • Hospital asset tracking.
  • Patient and staff tracking.
  • Medical devices.
  • Smart hospital components, etc.
See more: IoT solutions for healthcare

Virtual reality in healthcare

We create healthcare VR solutions with high and fast user adoption for:

  • Medical education
  • Medical training
  • Surgery
  • Pain management
  • Rehabilitation, etc.
See more: VR in Healthcare

Healthcare CRM solutions

We build CRM solutions tailored to healthcare industry specifics based on Microsoft Dynamics 365 and Salesforce Health Cloud.

See more: Healthcare CRM

Start Your Healthcare Analytics Project Now!

ScienceSoft team is ready to implement or accelerate your medical data analytics solution to help you enhance disease prevention and management, optimize healthcare supply chain and human capital management, increase patient safety and reduce medical errors, and much more.

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