Healthcare data analytics services

You see scattered data points — we help connect the dots and paint a full picture. As an expert in healthcare data analytics services, Innowise turns raw data into valuable insights, helping improve care quality and daily routines.

100+

healthcare projects delivered

40+

data engineers

80%

senior and mid-level specialists

100+

healthcare projects delivered

40+

data engineers

80%

senior and mid-level specialists

Our healthcare data analytics services for healthcare businesses

Healthcare data consulting

If you’re unsure how to manage healthcare data, Innowise’s consultants will help you define a scalable data strategy, establish governance policies, and ensure compliance.

Predictive analytics services

Our team designs and trains predictive models that leverage historical and real-time data to identify health risks, forecast resource needs, and support timely decisions.

Data warehouse development

Need to centralize your healthcare data? We design and build data warehouses that integrate diverse data sources, unify formats, and lay the groundwork for future analytics.

Healthcare BI implementation

Innowise delivers BI solutions tailored to your needs: from helping healthcare businesses track KPIs or uncover inefficiencies, to making data-driven decisions.

Big data implementation

Drowning in large, complex datasets? Innowise’s team implements advanced analytics that extract valuable insights from millions of data points, like claims or lab tests.

Data visualization & reporting

We implement intuitive visualization and reporting tools that turn raw care and workflow data into actionable dashboards tailored for doctors, execs, and research teams.

Healthcare success stories we’ve made happen

Want to streamline healthcare data processing?

We’ll turn the data you collect into actual business and clinical insights.

Why organizations need healthcare data analytics services

Better decision-making

With access to structured data and analytics findings, healthcare businesses can base decisions on facts rather than assumptions. Ultimately, this leads to higher quality care, efficient processes, and smoother adjustments.

Cost-effective care & workflows

Healthcare data analytics solutions delivered by Innowise’s team help lower operational costs. Our apps reveal workflow bottlenecks, help optimize resource use, and cut down on unnecessary procedures or administrative overhead.

Improved patient outcomes

By harnessing data analytics, providers can tailor treatments based on patient medical history, multiomics data, and insights into therapy effectiveness. This approach paves the way for personalized medicine and precise care.

Smart medical resource allocation

No more haphazard resource planning and staff scheduling chaos. By detecting trends in patient admission and resource allocation, we help providers plan staffing, beds, and equipment usage more effectively.

Positive patient experiences

With patient interactions analytics, we help you identify gaps in patient journeys and engagement points. This data lets you plan communication improvements, detect bottlenecks that lead to long wait times, and build patient trust.

Enhanced medical inventory management

Forget about stockouts and expired inventory. From medications to medical devices and equipment, our analytics solutions help track supply levels, detect device use inefficiencies, and support just-in-time inventory planning.

Healthcare fraud prevention

Innowise’s team applies data analytics to detect billing anomalies, suspicious patterns, or transactions. Thanks to it, our clients get to flag fraud early, avoid financial losses, and keep their image intact.

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Get granular insights on all healthcare data

Records
PGHD
Images & tests
Admin
Claims
Finance
Trials

Medical records

Innowise’s apps analyze electronic health records, patient outcomes, and population health data. Based on this data, we uncover trends in disease progression, care delivery gaps, and treatment efficiency.

Readmission risk assessment by condition
Population health risks heatmaps
Care pathways effectiveness

Patient-generated health data (PGHD)

From wearable-collected vitals to daily symptom logs, Innowise’s apps can dissect a wide range of PGHD and spot connections between them. With these insights, providers understand treatment progress better, identify early warning signs, and measure care adherence.

Activity trends by patient or patient group
Engagement drop-off points
Remote patient monitoring alerts

Medical images and lab tests

By analyzing CTs, MRIs, ultrasounds, and lab tests, our software reveals clinical insights that support accurate decisions across healthcare organizations. Based on imaging and lab data, you can detect care patterns, validate diagnoses, and track disease evolution in real time.

Diagnostic results accuracy trends
Imaging turnaround times
Lab test quality analytics

Administrative data

With years in healthcare data consulting, we craft apps that work with information on staff productivity, scheduling, patient flow, and more. Detecting deep correlations between data, our apps help spot operational bottlenecks, improve resource allocation, and optimize labor use.

Patient wait time breakdown
Staffing efficiency by shift
Appointment no-show rates

Claims data

With analytics of insurance claims, reimbursements, and denials, you get a 360-degree view of the process. The insights generated by our healthcare data analytics software let you reduce payment delays, detect billing inefficiencies, and reveal gaps in payer communication.

Claims denial root causes
Reimbursement cycle times
Payer-specific claim trends

Financial data

Innowise’s healthcare software analyzes operational costs, patient group expenses, and overall cash flow. As a result, healthcare providers can detect financial leaks, plan budgets more accurately, and understand how treatment costs affect margins.

Cost per diagnosis group
Revenue by department
Operational costs breakdown

Clinical trials data

For pharma companies, we implement data analytics software that processes clinical trial data to track protocol compliance, identify recruitment gaps, monitor trial progress, and accelerate drug development.

Trial progress monitoring
Participant dropout rate by site
Recruitment timeline analysis

What people often miss out on during health data consulting projects is that analytics is an investment that brings more practical results the longer you use it. Plus, if you decide to step up your game and implement AI or ML, it’s much easier to do once you already have stable data pipelines and well-structured healthcare data. That’s why we treat analytics not as an add-on, but as the backbone for every innovation that follows.

Anastasia Ilkevich

Portfolio manager in Healthcare and Medical technologies

Our healthcare data analytics process

Requirements analysis

Our experts kick things off with in-depth discovery: we interview stakeholders, dig into your needs, audit data systems, and assess the data landscape.

Data modeling

We structure your data and create conceptual and logical models. Our team carefully maps entities, relationships, and proper storage methods.

Architecture design

Ensuring it can handle the load and growth, Innowise shapes a strong infrastructure, chooses the right tech stack, and builds efficient data pipelines.

Infrastructure building

Here, we build a rock-solid infrastructure for storage, processing, and analysis of your healthcare data, so you can be sure your information is safe.

ETL/ELT pipeline design

Our experienced engineers create smart pipelines that handle data extraction, transformation, and cleaning of your data to make it 100% analysis-ready.

Result visualization

To cohesively present insights, we implement data visualization. You get tailored dashboards and reports that highlight metrics and patterns.

Deployment

Our team deploys ETL, data analysis, or ML pipelines that run automatically, keeping your insights fresh and consistently up-to-date.

Start your healthcare data analytics project now

Our tech stack

Tensorflow
SQL Server
Keras
Oracle SQL
Sklearn
PostgreSQL
SciPy

Google BigQuery
Scikit-learn
Teradata
Amazon Redshift
Amazon RDS
Amazon Aurora
Azure Synapse Analytics

Microsoft Azure
Cloudera
Snowflake Data Cloud

Apache Hadoop
Apache Spark

Tableau
Qlik
Looker
Power BI
Microsoft Excel
Grafana
Chartist.js
Oracle Business Intelligence

MicroStrategy
Kyubit
Chartblocks
Infogram
Data Wrapper
AWS QuickSight
Apache Superset

Azure Cognitive Services
Azure Machine Learning
Azure Bot Services
Azure Applied AI Services
Azure Healthbot
Amazon SageMaker
Amazon Transcribe & Polly

Amazon Comprehend
Amazon Rekognition
Vertex AI
Google Conversational AI
Google AI for documents
Google AI for industries

Choose our healthcare data analytics services

With years in healthcare data analytics consulting and development, Innowise helps companies turn complex data into real-world results. We tailor solutions to your goals, ensure compliance with industry standards, and deliver outcomes you can trust. Zero guesswork for you — only impactful findings.

Want to know more?

Check the pricing and cooperation approach that we crafted over 18+ years.

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 HR 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

Frequently asked questions

The most common types of healthcare data to analyze are Electronic Health Records (EHRs), wearable device data, patient surveys, medical imaging files, financial information, clinical trial results, and public health stats. The choice of data for analysis depends on the needs of your business and the processes you want to dive into.

By analyzing trends across care data, healthcare providers deliver faster patient diagnoses, tailor therapies, and predict potential health risks. Because of it, patients can get earlier care interventions, avoid unnecessary procedures, and recover faster.

To mitigate risks and safeguard sensitive healthcare data, we implement strict data protection measures: strong encryption, role-based access controls, anonymization techniques, regular security audits, and well-documented privacy policies.

Based on our experience in data analytics projects, some of the most common challenges faced by healthcare businesses are data quality, inconsistent data formats, interoperability and integration issues, and strict regulatory requirements.

At Innowise, we implement end-to-end encryption, multilayered access controls, continuous monitoring, and ensure compliance with HIPAA, GDPR, and other healthcare-specific standards. Thanks to these precautions embedded into our healthcare analytics services, your data remains secure and protected against cyber threats.

Feel free to book a call and get all the answers you need.

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What happens next?

Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

We’ll arrange a meeting with you to discuss the offer and nail down the details.

Finally, we’ll sign a contract and start working on your project right away.

Healthcare data analytics services

Our healthcare data analytics services for healthcare businesses

Healthcare data consulting

Predictive analytics services

Data warehouse development

Healthcare BI implementation

Big data implementation

Data visualization & reporting

Healthcare success stories we’ve made happen

Want to streamline healthcare data processing?

Why organizations need healthcare data analytics services

Better decision-making

Cost-effective care & workflows

Improved patient outcomes

Smart medical resource allocation

Positive patient experiences

Enhanced medical inventory management

Healthcare fraud prevention

Get granular insights on all healthcare data

Medical records

Patient-generated health data (PGHD)

Medical images and lab tests

Administrative data

Claims data

Financial data

Clinical trials data

Our healthcare data analytics process

Our tech stack

Choose our healthcare data analytics services

Want to know more?

What our customers think

Frequently asked questions

Contact us

What happens next?

Need other services?

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