Improve patient care, clinical outcomes, and operational performance with our leading-edge healthcare predictive analytics software. From identifying cost-saving opportunities to managing disease outbreaks, we help healthcare organizations shift from reactive to proactive through reliable, data-driven insights.
Predicting the trends of RAF based on EHR and claims data. See the case study
As a trusted healthcare data analytics company, we help providers and payers apply healthcare analytics solutions across high-impact areas.
Use healthcare data analytics software to forecast health outcomes, empowering healthcare providers to deliver timely and personalized care for better patient outcomes.
Enhance diagnostic accuracy and speed with healthcare analytics software that supports clinicians in detecting and treating medical conditions.
Optimize financial planning and control costs with healthcare analytics platforms that accurately forecast healthcare-related expenses.
Enhance operational efficiency with healthcare predictive analytics companies that streamline reimbursement predictions and reduce uncertainty.
Minimize readmission rates with predictive models from our healthcare data analytics platform, which identifies at-risk patients in advance.
Our healthcare data analytics platform enhances engagement by delivering tailored experiences and retaining more patients over time.
Proactively address patient needs with predictive analytics, providing early warnings of patient declines to ensure timely and effective interventions.
case study highlight
Ensure accurate RAF scores reflecting all conditions, prompt capture of chronic/episodic conditions, timely clinician assessments, and compliant, comprehensive data for precise reimbursement.
Launch your product with the support of an experienced healthcare analytics company that understands value-based care and lean innovation.
Understand the business problem, user needs, and key objectives. Validate the product concept and define the vision.
Product strategy + prioritized features
Define the product or service to solve the problem. Define technical architecture, user flows, wireframes, and visual design.
Project roadmap, technical specs, design assets, prototype
Develop the MVP through iterative sprints, incorporating user feedback and testing. Deliver core functionality to meet business goals.
MVP ready for market test & user validation
Post-launch, focus on scaling and optimizing based on user feedback and analytics. Add users and commercialize the product.
New features, enhancement, business growth
We build healthcare data analytics software designed to solve complex healthcare challenges.
This component is responsible for collecting and aggregating data from various sources such as electronic health records (EHRs), medical devices, and external databases, ensuring that the data is accurate, complete, and up-to-date.
This module cleans, transforms, and preprocesses raw data to make it suitable for analysis, handling tasks such as missing data imputation, normalization, and feature extraction.
This core component develops, trains, and deploys machine learning models that can predict health outcomes, risks, and trends based on historical and real-time data.
This component provides an interactive and user-friendly interface for healthcare professionals to access, visualize, and interpret predictive analytics insights through charts, graphs, and real-time dashboards.
This module generates alerts and notifications based on predictive analytics results, sending real-time updates to healthcare providers when significant changes or risks are detected in patient data.
This crucial component ensures that all data handling and processing activities comply with healthcare regulations and standards, such as HIPAA, and includes robust security measures to protect patient data and maintain privacy.
Our role as one of the top healthcare data analytics companies ensures your infrastructure is ready for value-based care transformation.
Our modular healthcare data analytics platform is built to scale with your needs.
Seamlessly consolidate clinical and external data sources.
Clean and prepare high-quality inputs for analysis.
Develop and deploy accurate, explainable machine learning models.
Empower stakeholders with clear, visual insights.
Real-time updates triggered by actionable insights.
Built-in safeguards to ensure data security and regulatory alignment.
Our team excels at uncovering predictive insights by actively engaging with users and understanding their intuitions. We build our solutions around real user needs, ensuring that our software is intuitive and effective.
We have a unique ability to frame the right questions and find precise answers, ensuring that our predictive analytics solutions address the specific challenges faced by healthcare providers.
Our expertise lies in seamlessly integrating predictive models into practical applications, ensuring that the solutions we develop are not only theoretical but are also actionable and valuable in real-world healthcare settings.
“I have worked with many technology teams during my career, and Digital Scientists is one of the best. They take the time to understand the customers’ needs, deliver innovative solutions, are always professional, and work with your team as a true partner to achieve success.”
Amy severino
Launch a new service or product in as little as 8 weeks
Work with one of the most innovative healthcare predictive analytics companies for seamless value-based care integration.
An evaluation to guide critical business strategies and decisions.
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TL;DR: Electronic Health Records (EHRs) do more than store patient information — they transform healthcare delivery. Here’s how: Enhancing Patient Care: Centralized records reduce errors and allow for personalized treatment plans, improving outcomes. Boosting Efficiency: Streamlined documentation cuts down on physician burnout and administrative workload. Streamlining Workflows: Standardized systems improve coordination and consistency across…
TL;DR DS Approach: We keep core engineering close to the problem, augment selectively with near-shore partners, and guarantee outcomes instead of bill-rate illusions. Past: Offshore promised “same work for less,” but hidden costs—communication, context, rework—quickly surfaced. Present: Global teams can work, yet only with tight ownership, robust architecture, and constant…
Predictive analytics in healthcare uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. Top healthcare analytics companies use it to improve both clinical and operational decision-making.
Predictive analytics can identify at-risk patients, forecast disease progression, and suggest personalized treatment plans, enabling proactive interventions and enhancing patient outcomes.
Data from electronic health records (EHRs), wearable devices, patient surveys, lab results, and other healthcare databases are commonly used to create comprehensive predictive models.
By analyzing patient data and identifying risk factors for readmission, predictive analytics allows healthcare providers to implement targeted interventions and follow-up care, reducing the likelihood of patients returning to the hospital.
Challenges include data privacy and security concerns, integrating data from multiple sources, ensuring data accuracy and quality, and gaining acceptance from healthcare providers.
Yes. Our healthcare analytics software can forecast expenses, optimize operations, and uncover cost-saving opportunities.
