Healthcare data analytics services

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.