Healthcare data analytics services

Healthcare is becoming data-driven, with huge amounts of patient, financial, clinical, and operational data generated. At Innowise, we turn this raw data into valuable insights, helping companies improve patient outcomes and push medical research forward.

years of expertise in data analytics

Get comprehensive healthcare data analytics services

In today’s healthcare ecosystem, data isn’t just a side effect — it’s the fuel that progress needs. Leverage its potential with our customized suite of data analytics services designed to equip your organization with actionable intelligence that makes real change.

Big data analytics
IoMT analytics
Business analytics
Predictive analytics
Data warehousing
Data visualization
Data consulting
Data implementation
Data migration
Data management
Data modernization
Population health analytics
Data governance
Statistical analysis
Data science, machine learning, deep learning
Natural language processing

Big data analytics

Our team digs deep into massive, complex healthcare datasets to find patterns, pinpoint emerging disease trends, and improve patient treatment outcomes. We also bring to light population health trends that would otherwise be hidden.

IoMT analytics

By tapping into data from connected medical devices, we enable lightning-fast interventions and develop personalized care plans by catching and analyzing even the slightest changes in patient conditions.

Business analytics

Our experts apply business analytics techniques to operational and financial data—meaning you can better allocate resources and supercharge your financial performance through data-driven decision-making.

Predictive analytics

We harness historical, scientific, and clinical data to build predictive models that forecast events—such as hospital readmissions and patient downturns—allowing for personalized treatment plans and more effective care.

Data warehousing

We help businesses store, consolidate, and manage large volumes of structured data in centralized repositories, allowing easy access, analysis, and real-time decision-making.

Data visualization

We create interactive dashboards and visual reports that turn complex data into insightful, actionable information for both technical and non-technical stakeholders.

Data consulting

Our data experts provide strategic consulting to help organizations harness their data assets, enabling improved decision-making, business insights, and operational efficiency.

Data implementation

We guide clients through the seamless integration of data-driven solutions that align with their business goals and ensure smooth operations across all systems and platforms.

Data migration

Our team ensures smooth, secure data migration to new systems, minimizing downtime and maintaining data integrity throughout the transition process.

Data management

We help organizations manage and optimize their data lifecycle, ensuring data is accurate, secure, and accessible at all stages of its lifecycle to drive business success.

Data modernization

We help legacy data systems evolve and modernize to meet current business demands, utilizing the latest tools and technologies for enhanced efficiency and performance.

Population health analytics

We utilize advanced analytics to assess and improve population health management strategies, enabling healthcare providers to improve patient outcomes on a large scale.

Data governance

We implement data governance frameworks to ensure that data is consistently accurate, secure, and compliant with regulatory standards, improving trust and transparency.

Statistical analysis

We apply advanced statistical methods to analyze and interpret data, providing actionable insights for informed decision-making and improved operational outcomes.

Data science, machine learning, deep learning

We leverage cutting-edge data science techniques, including machine learning and deep learning, to create predictive models and optimize business processes across industries.

Natural language processing

We utilize natural language processing (NLP) technologies to enable machines to understand, interpret, and generate human language, powering smarter interactions and insights from unstructured data.

Pilip Tsikhanovich Head of Big Data

At Innowise, we truly believe in the power of data to drive real results in healthcare. This is why we’re not just crunching numbers — we are exploring new ways and technologies to provide healthcare providers with insights they need to optimize operations, improve patient care, and ultimately, build a better future.

When businesses in healthcare industry need data analytics services

Complexity of pharmaceutical data compliance

We develop a secure, user-friendly data management system that centralizes and processes data from clinical trials, production facilities, and pharmacovigilance activities. This platform means full regulatory compliance alongside streamlined data analysis and reporting—making the drug development and safety monitoring processes a whole lot clearer.

Poor medical resource allocation

We build predictive analytics platforms that crunch data from a variety of different sources. This includes referral patterns, service and emergency room utilization, and appointment scheduling. This means medical resources are allocated where they’re needed most.

Negative patient experience

Our experts set up AI-powered patient navigation platforms that use cutting-edge tech like Large Language Models (LLMs) and predictive analytics. These platforms collect and analyze multi-modal patient data, identify pain points, predict needs, and provide personalized guidance. These proactive interventions create a smoother, more positive healthcare journey for everyone involved.

Poor medical inventory management

We build predictive analytics platforms that track and analyze the utilization of drugs, consumables, and medical equipment in real time to anticipate future demand and potential shortages. This helps optimize buying strategies, keep inventory levels just right, and ensure well-timed access to crucial resources while cutting waste and costs.

Suboptimal medical research and development

Implementing a comprehensive analytics platform means getting a supercharged research assistant. We pull together data from medical records, clinical trials, and scientific literature—using machine learning to uncover insights and speed up the process of turning research findings into better patient care.

Medical cost overruns

Our expert team builds AI-powered anomaly detection systems that keep an eye on usage patterns for high-cost treatments and services. By analyzing historical data and identifying deviations from established norms or clinical guidelines, the systems can flag potentially inappropriate or excessive use. Real-time alerts notify managers and care providers – resulting in well-timed intervention, utilization review, and data-driven decision-making for cost-effective care.

Poor chronic care outcomes

We create remote patient monitoring systems that tap into data from medical wearables and other connected devices—providing continual insights into patient conditions. Using AI-powered analytics, the system identifies early warning signs of deterioration before proactively alerting both patients and healthcare providers—resulting in timely interventions and personalized support to prevent adverse events and improve long-term health outcomes.

Inefficient patient care

We implement targeted telemedicine solutions that connect patients with remote specialists—cutting down on wait times and making it easier for people to get the specialized care they need.

Our supplementary healthcare IT services and solutions

EHR/HRM solutions
Telemedicine apps
Chronic care apps (IoMT)
VR-based solutions
Medical mobile apps
Healthcare data analytics platforms
Medical billing apps

EHR/HRM solutions

We develop platforms that effectively manage healthcare data and interactions between patients and medical care providers to improve medical care outcomes.

Centralized repository for secure storage of healthcare data
Integration with appointment scheduling and prophylaxis services
Tools for personalized communication and engagement with patients
User-friendly interface for patient-provider communication

Analytics and reporting on patient interactions and satisfaction
Strong security measures and compliance with regulatory standards
Voice recognition for detailed transcription and documentation

Telemedicine apps

Our solutions enable patients to receive medical consultations and treatments remotely via digital platforms.

Secure real-time video consultations with healthcare providers
Secure messaging and communication channels
Integration with electronic prescription services

Seamless data access through integration with electronic health records (EHR)
User-friendly interface
Analytical tools to analyze app performance

Chronic care apps (IoMT)

Our all-in-one solutions bring together smart medical devices and apps that collect and share your health data online, making it easier to analyze and manage chronic conditions.

On-the-go health monitoring through wearable devices
Data collection and analysis in real time
Automated alerts and notifications for important health events

Compliance with security and regulatory standards
Integration of real-time data with electronic health records and lab results

VR-based solutions

The software developed by our engineers uses virtual reality (VR) technology to train medical professionals and to treat and engage patients.

Immersive training simulations for medical professionals
Pain management and distraction therapy for patients
Rehabilitation programs using VR environments

Mental health treatments through VR-based therapy sessions
Patient education and pre-surgery orientation using virtual simulations
Analytical platform to analyze app performance

Medical mobile apps

The solutions our team makes provide a range of health-related services—plus it's a breeze for users to install and use these apps on their mobile devices.

Health and fitness tracking
Medication reminders
Period and ovulation tracking
Symptom checking

Patient health education
Telehealth services
Appointment scheduling
Medical billing

Healthcare data analytics platforms

Our engineers create digital tools and systems that make it easier to manage, analyze, and share healthcare-related data and information.

Central repository for data from EMRs, clinical trials, scientific literature, and more
DWH solutions
Analytical services

Reporting tools for creating dashboards and disseminating knowledge
Medical NLP

Medical billing apps

Developed by Innowise’s expert engineers, this software makes the billing process easier, faster, and more effective

Compliance with country-specific regulations
User-friendly interface

Easy export of anonymized data for billing analysis
High-performance distributed system for handling large data workloads

Our approach to healthcare data analytics services

Our teams of data scientists and healthcare experts work in tandem to deliver clear, pragmatic findings that can impact patient care. We understand the unique challenges of healthcare data – its sensitivity, its complexity, and the critical importance of accuracy: that’s why our methods are carefully curated, our security protocols uncompromising, and our commitment to ethical data use unwavering.

Evidence-based analytical framework

We combine the latest medical science advancements, evidence-based medical principles, and advanced data analytics to deliver statistically valid and clinically relevant project results.

Comprehensive data security and compliance

Our data analytics services adhere to the strictest industry standards and regulations – including HIPAA, GDPR, FDA regulations, and EMA requirements – to safeguard sensitive healthcare data throughout the analytical process.

Predictive modeling for risk management

We develop breakthrough predictive models that analyze diverse data sources to identify high-risk patients and populations, enabling targeted interventions and more efficient healthcare delivery.

Interoperable data integration

Our approach focuses on integrating data from disparate sources—including EHRs, claims databases, and wearable devices—to create a unified data ecosystem for straightforward analysis.

Actionable insights delivery

We translate complicated analytical findings into clear, actionable insights tailored to different stakeholders in the healthcare system—making informed decision-making possible thanks to detailed reports and dashboards.

Continuous performance optimization

Setting up a feedback loop keeps tabs on the performance and impact of your analytics solutions and helps you stay on top of your KPIs. This way, you can make sure everything stays relevant and effective.

Looking for someone to guide you through the twists and turns of healthcare data?

Count on our data analysts to lead the way!

Unlock these benefits with Innowise

15%

Improvement in chronic disease management

By using predictive analytics and personalized insights that help healthcare providers proactively manage chronic conditions.

35%

More accurate treatment selection

Our cutting-edge data analytics solutions help make sure that patients get the right treatment from the start—meaning fewer changes down the line.

40%

Faster response times

With real-time monitoring of patient vitals through IoMT analytics, healthcare providers receive instant alerts and can respond quicker—leading to safer, more effective care.

50%

Reduction in potential risks

Through our predictive modeling and risk management tools—giving care providers the opportunity to implement preventative measures and mitigate potential complications.

Recognized among the best, by the best

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Data analytics process

We prioritize a thorough understanding of your requirements before diving into technical implementations. This approach doesn’t slow us down—it actually lets us leverage our technical expertise and deliver the required solutions efficiently.

Requirements analysis

Our experts kick things off by digging deep into your healthcare organization's specific needs and goals. We conduct stakeholder interviews, assess your data landscape, and define clear success metrics to guide our work.

Scientific literature search

We don't just wing it—our team conducts a comprehensive review of medical literature to make sure our analytical approach is grounded in the latest evidence-based research and best practices.

Market competitor search

We keep an eye on the competition and market trends, analyzing what's out there to develop solutions that give you a real edge in a crowded healthcare analytics market.

Data modeling

Our data wizards focus on structuring your information for meaningful analysis. We create conceptual, logical, and physical data models that define entities, relationships, and proper storage methods.

Data architecture design

We design a strong, scalable overall infrastructure that picks the right tech, builds efficient data pipelines, and ensures your system is ready to grow and perform as needed.

Infrastructure building

At Innowise, security is non-negotiable. We build a rock-solid infrastructure that stores, processes, and analyzes your data, so you can trust your information is safe and sound.

ETL/ELT pipeline design and implementation

Our engineers create smart pipelines that handle all the heavy lifting—extracting, transforming, and cleaning your data to get it 100% analysis-ready.

Data analytics / statistical analysis / result visualization

We perform a range of analytics—descriptive, diagnostic, predictive, and prescriptive—to extract meaningful insights from your data. Then, we present these insights in clear, easy-to-understand visuals.

Automation and deployment

We don't just set it and forget it: our team deploys ETL and data analysis/ML pipelines that automatically run on schedule, keeping your insights fresh and consistently up-to-date.

Quality assurance

We're sticklers for accuracy. Our testing process (including unit, integration, and user acceptance tests) means you can expect reliable and accurate results at every stage.

Constant monitoring

All solutions come with user-friendly monitoring tools, so you can easily keep tabs on the health of your applications and platforms.

Security and compliance

You can rest easy knowing that every project we deliver is built to meet all international and local security standards and complies with the necessary regulations.

Requirements analysis

Scientific literature search

We don't just wing it—our team conducts a comprehensive review of medical literature to make sure our analytical approach is grounded in the latest evidence-based research and best practices.

Market competitor search

We keep an eye on the competition and market trends, analyzing what's out there to develop solutions that give you a real edge in a crowded healthcare analytics market.

Data modeling

Data architecture design

We design a strong, scalable overall infrastructure that picks the right tech, builds efficient data pipelines, and ensures your system is ready to grow and perform as needed.

Infrastructure building

At Innowise, security is non-negotiable. We build a rock-solid infrastructure that stores, processes, and analyzes your data, so you can trust your information is safe and sound.

ETL/ELT pipeline design and implementation

Our engineers create smart pipelines that handle all the heavy lifting—extracting, transforming, and cleaning your data to get it 100% analysis-ready.

Data analytics/statistical analysis/result visualization

Automation and deployment

We don't just set it and forget it: our team deploys ETL and data analysis/ML pipelines that automatically run on schedule, keeping your insights fresh and consistently up-to-date.

Quality assurance

We're sticklers for accuracy. Our testing process (including unit, integration, and user acceptance tests) means you can expect reliable and accurate results at every stage.

Constant monitoring

All solutions come with user-friendly monitoring tools, so you can easily keep tabs on the health of your applications and platforms.

Security and compliance

You can rest easy knowing that every project we deliver is built to meet all international and local security standards and complies with the necessary regulations.

Requirements analysis

Scientific literature search

We don't just wing it—our team conducts a comprehensive review of medical literature to make sure our analytical approach is grounded in the latest evidence-based research and best practices.

Market competitor search

We keep an eye on the competition and market trends, analyzing what's out there to develop solutions that give you a real edge in a crowded healthcare analytics market.

Data modeling

Data architecture design

We design a strong, scalable overall infrastructure that picks the right tech, builds efficient data pipelines, and ensures your system is ready to grow and perform as needed.

Infrastructure building

At Innowise, security is non-negotiable. We build a rock-solid infrastructure that stores, processes, and analyzes your data, so you can trust your information is safe and sound.

ETL/ELT pipeline design and implementation

Our engineers create smart pipelines that handle all the heavy lifting—extracting, transforming, and cleaning your data to get it 100% analysis-ready.

Data analytics/statistical analysis/result visualization

Automation and deployment

We don't just set it and forget it: our team deploys ETL and data analysis/ML pipelines that automatically run on schedule, keeping your insights fresh and consistently up-to-date.

Quality assurance

We're sticklers for accuracy. Our testing process (including unit, integration, and user acceptance tests) means you can expect reliable and accurate results at every stage.

Constant monitoring

All solutions come with user-friendly monitoring tools, so you can easily keep tabs on the health of your applications and platforms.

Security and compliance

You can rest easy knowing that every project we deliver is built to meet all international and local security standards and complies with the necessary regulations.

The core data analytics technologies we work with

Big data ecosystems Cloud services Programming skills Data visualization tools Data warehouse technologies Data integration

Big data ecosystems

Apache Hadoop

Apache Spark

Cloud services

AWS

Oracle

Google Cloud

Microsoft Azure

Cloudera

Snowflake Data Cloud

Programming skills

Java

Python

Scala

SAS

Data visualization tools

Tableau

Qlik

Looker

Power BI

Microsoft Excel

Grafana

Chartist.js

Oracle Business Intelligence

MicroStrategy

Kyubit

Chartblocks

Infogram

Data Wrapper

AWS QuickSight

Apache Superset

Data warehouse technologies

SQL Server

Oracle SQL

PostgreSQL

Google BigQuery

Teradata

Amazon Redshift

Amazon RDS

Amazon Aurora

Azure Synapse Analytics

Data integration

Matillion

Azkaban

Informatica

Panoply

IBM Infosphere DataStage

Apache Airflow

Talend

AWS Glue

Azure Data Factory

Apache Hadoop

Apache Spark

AWS

Oracle

Google Cloud

Microsoft Azure

Cloudera

Snowflake Data Cloud

Java

Python

Scala

SAS

Tableau

Qlik

Looker

Power BI

Microsoft Excel

Grafana

Chartist.js

Oracle Business Intelligence

MicroStrategy

Kyubit

Chartblocks

Infogram

Data Wrapper

AWS QuickSight

Apache Superset

SQL Server

Oracle SQL

PostgreSQL

Google BigQuery

Teradata

Amazon Redshift

Amazon RDS

Amazon Aurora

Azure Synapse Analytics

Matillion

Azkaban

Informatica

Panoply

IBM Infosphere DataStage

Apache Airflow

Talend

AWS Glue

Azure Data Factory

Want to see real improvements in patient care and operational efficiency?

Let data-driven insights guide you towards better outcomes.

Our case studies

What our customers think

Polina Shuruba Partner Manager XPRT MINDS

“Innowise is one of the best partners we have. They always fulfill our requests for qualified candidates. The team is very prompt.”

Industry IT services
Team size 6 specialists
Duration 24 months
Services Consulting, staff augmentation

Marco Scarpa Technical Product Manager Beantech S.r.l

“It was a very intense and effective collaboration, all the developers were focused on the goals and prepared about all the technologies we faced over.”

Industry IT services
Team size 6 specialists
Duration 22+ months
Services IoT development

Benjamin Reif Founder & CEO Sawayo

“Innowise constantly found efficient solutions to the challenges. The resources were very helpful and communicative, and they demonstrated impressive determination and eagerness to solve problems.”

Industry Software
Team size 9 specialists
Duration 24 months
Services Custom software development, staff augmentation

FAQ

Which types of data are analyzed in healthcare?

Healthcare data analytics involves collection and analysis of a wide variety of data types, including but not limited to:

Electronic Health Records (EHRs)
Wearable devices data
Patient surveys
Medical imaging data
Clinical trial data
Public health data, etc

How does healthcare data analytics benefit patients?

There’s no denying the fact that healthcare data analytics improves patient care in a number of ways:

Patient-centered care plans based on individual patient data
Improved home chronic condition management by using medical wearables and real-time analytics
Accelerated drug discovery and drug development lifecycle
Improved patient engagement via personalized communication
More consistent access to care thanks to better resource allocation and cost reduction

How is patient privacy ensured in healthcare data analytics?

To mitigate risks and safeguard sensitive healthcare data, the following strategies ought to be implemented:

Strong data encryption
Data access control
Anonymization
Security audits and training
Privacy policies

What are the common challenges in healthcare data analytics?

Healthcare data analytics has the potential to create better patient care—but this promise hinges on the accuracy, reliability, and accessibility of this data. There are a number of challenges to be addressed, including:

A number of different data sources
Data volume
Data complexity
Security, privacy, and confidentiality
Shortage of domain data specialists
Complex data analysis and interpretations
Regulatory compliance

Book a call with our experts and get the answers you need.

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Why Innowise?

2000+

IT professionals

93%

recurring customers

1300+

succesful projects

18+

years of expertise

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Healthcare data analytics services

Get comprehensive healthcare data analytics services

IoMT analytics

Data warehousing

Data visualization

Data consulting

Data implementation

Data migration

Data management

Data modernization

Population health analytics

Data governance

Statistical analysis

Data science, machine learning, deep learning

Natural language processing

When businesses in healthcare industry need data analytics services

Complexity of pharmaceutical data compliance

Poor medical resource allocation

Negative patient experience

Poor medical inventory management

Suboptimal medical research and development

Medical cost overruns

Poor chronic care outcomes

Inefficient patient care

Our supplementary healthcare IT services and solutions

Chronic care apps (IoMT)

Medical mobile apps

Healthcare data analytics platforms

Medical billing apps

Our approach to healthcare data analytics services

Evidence-based analytical framework

Comprehensive data security and compliance

Predictive modeling for risk management

Actionable insights delivery

Continuous performance optimization

Looking for someone to guide you through the twists and turns of healthcare data?

Unlock these benefits with Innowise

Improvement in chronic disease management

More accurate treatment selection

Faster response times

Reduction in potential risks

Data analytics process

The core data analytics technologies we work with

Big data ecosystems

Cloud services

Programming skills

Data visualization tools

Data warehouse technologies

Data integration

Want to see real improvements in patient care and operational efficiency?

Our case studies

What our customers think

FAQ

Contact us

Need other services?

Let●s develop software together!

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