Healthcare data analytics services

When you collaborate with Relevant, you get a dedicated team, not dispersed freelancers or third-party vendors. Every one of our developers, designers, and QA experts is in-house, which results in smoother communication with clients, full accountability, and top-tier quality. Your project stays in expert hands from day one to launch, no outsourcing, no surprises.

The Relevant team works with over 50 technologies and can build healthcare solutions of any complexity: top-notch AI-driven analytics systems, powerful enterprise-level software, or scalable cloud applications. So, we can easily select and recommend the most suitable tools for your project so it performs optimally and is easy to maintain.

Behind great software usually stand talented professionals. We hire only the top 1% of engineers with relevant experience in healthcare, ensuring your project is handled by highly skilled professionals with strong English proficiency. With Relevant, expect seamless collaboration, innovative solutions, and a team that truly understands your business needs.

We understand the importance of deadlines and budgets and, therefore, have established well-defined project management processes and agile methodologies to deliver projects on time and within the agreed-upon budget without compromising quality. Due to transparent workflows, you’ll always know where your project stands, so you can launch with confidence.

With 200+ successful collaborations, Fortune 500 partnerships, and a 98% client retention rate, we’ve proven our ability to deliver real value. Currently, we work with over 100 clients across 10 industries, so we know how to build relationships and organize transparent and effective cooperation for mutual success.

Our high employee retention rate of nearly 80% means stable teams with strong technical expertise and deep project knowledge for your long-term projects. We talk about minimal project disruptions as the same dedicated experts stay with you from start to finish, which guarantees consistency and seamless knowledge transfer.

To deliver meaningful insights, healthcare data analytics systems are usually fed with a diverse range of data, including electronic health records (EHRs), claims data, pharmacy data, lab results, medical imaging, patient-generated data (from wearables and apps), and even social determinants of health data. Sometimes, hospitals also use patient information about their lifestyle (diet, environment, demographics, etc.) to predict health trends.

Relevant Software is an ISO and HIPAA-compliant healthcare software development company, which implies that we scrupulously follow industry security standards. What we typically employ is:

• End-to-end encryption
• Role-based access control
• Multi-factor authentication (MFA)
• Data anonymization and pseudonymization
• Secure cloud architectures
• Real-time security monitoring
• Automated backup and disaster recovery
• Strict compliance with GDPR, HIPAA, and ISO standards
• We don’t simply follow best practices. We make privacy and security an integral part of every solution we build.

Basic reporting tells you what happened — how many patients were admitted, how long they stayed, or how much was spent. Advanced analytics, on the other hand, is capable of delivering deeper and more comprehensive insights. It can predict future trends regarding patient health and operational efficiency, identify risk factors, and even recommend concrete actions to improve care and optimize hospital operations using AI and big data.

Big data analytics can use different algorithms depending on the task you need to complete. Machine learning models like decision trees and neural networks help predict trends, while clustering algorithms (like K-means) group similar data points. Regression models forecast outcomes, and natural language processing (NLP) makes sense of unstructured text. Then, there’s anomaly detection, which spots fraud, risks, or errors before they cause trouble. It’s possible to customize or combine several of them to get the desired outcomes.

The cost of a healthcare analytics solution will depend on the level of complexity, the number of features, and compliance requirements. A basic analytics tool may cost $50,000–$100,000, while an advanced AI-powered system with predictive modeling, real-time dashboards, and integrations can reach $500,000+. Other factors that can impact the price are data security, the complexity of data integration, cloud infrastructure, and whether the solution is built from scratch or customized from an existing platform.