Clinical Expertise, Tech-Driven
Deep healthcare knowledge ensures technology aligns with real-world clinical workflows, driving impact.
AI-Powered Patient Readmission Risk Prediction for Proactive Care
Identify high-risk patients, automate follow-up, and reduce costly rehospitalizations with real-time, AI-driven insights.
Get in TouchAI Patient Readmission Risk is a predictive solution that flags patients most likely to be readmitted within 30 days of discharge. By analyzing clinical data, social determinants of health (SDOH), medication adherence, and behavioral factors, it helps care teams make timely decisions and reduce avoidable readmissions.
EHR-integrated and HIPAA-compliant, the solution supports smarter discharge planning, targeted care management, and improved care continuity—all with minimal workflow disruption. 60% is deployable out of the box, with 40% customizable to fit your population, care model, and resource strategy.
Fixing Gaps in Patient Readmission Risk Management
The Problem | The Solution |
---|---|
At-risk patients discharged without follow-up | AI risk scores trigger automatic case manager alerts |
Manual scoring misses critical risk indicators | ML models analyze SDOH, clinical trends, and vitals |
Fragmented communication delays outreach | Integrated workflows within your existing systems |
Predictive models update dynamically based on evolving patient data post-discharge.
Give case managers and clinicians clear visibility into which patients need outreach today.
Risk-based prompts help care teams act faster, without waiting for delays in chart reviews.
Models can incorporate local population data or focus on chronic groups (e.g., CHF, COPD, diabetes).
“Within 60 days, AI Patient Readmission Risk reduced readmissions by 22% in our CHF and COPD patient groups.”
— Chief Medical Officer, Regional Health System
Integrate with your EHR via FHIR or HL7 for seamless access to discharge and clinical data.
AI models evaluate risk in real-time using multi-source data inputs.
High-risk patients are automatically flagged with recommended next steps.
Care teams initiate follow-up, assign case managers, or launch outreach based on alerts.
We don’t just deliver solutions we build partnerships that drive transformation. With a proven track record in healthcare technology, we understand the industry’s unique challenges and offer customized solutions to help you achieve breakthroughs.
Our developers are HIPAA certified and skilled in various healthcare regulations, including GDPR and HITECH. We create HIPAA-ready solutions, ensuring security and compliance with all necessary standards. Trust us to deliver robust, compliant healthcare software that protects patient data.
We go beyond core healthcare solutions by offering a comprehensive suite of technology-driven services that enhance scalability, efficiency, security, and user experience.
From concept to deployment, we design and develop high-performance digital health products tailored to industry needs. Our approach focuses on scalability, security, and compliance, ensuring seamless functionality and a strong foundation for growth.
Read MoreWe provide custom AI/ML development services to help healthcare organizations automate workflows, enhance clinical decision-making, and extract actionable insights from data. Our expertise includes predictive analytics, NLP for medical records, and AI-powered automation tailored to your needs.
Read MoreWe help businesses migrate, build, and optimize healthcare applications on cloud platforms while ensuring compliance and security. Our cloud services include architecture design, DevOps automation, and scalable infrastructure management for seamless performance.
Read MoreWe enable secure and efficient integrations across EHRs, medical devices, third-party APIs, and digital health platforms. Our team ensures data interoperability using FHIR, HL7, and custom API development, reducing silos and improving workflow efficiency.
Read MoreWe offer data engineering, analytics, and reporting services to help healthcare organizations harness their data effectively. Our team develops real-time dashboards, predictive models, and automated reporting to support better decision-making.
Read MoreWe help businesses meet HIPAA, GDPR, and other regulatory requirements by integrating security best practices into development. Our services include risk assessments, DevSecOps implementation, and data protection strategies for secure digital health solutions.
Read MoreWe help organizations design, develop, and integrate telemedicine platforms with features like video consultations, remote patient monitoring, and secure data exchange. Our services ensure seamless connectivity while maintaining compliance with healthcare regulations.
Read MoreWe provide end-to-end mHealth app development services, designing secure, user-friendly, and HIPAA-compliant mobile solutions for healthcare providers, patients, and caregivers. Our services include custom app design, wearable integrations, remote monitoring, and telehealth features to enhance patient engagement and care accessibility.
Read MoreWe develop custom Clinical Decision Support Systems (CDSS) that provide real-time insights, AI-driven recommendations, and predictive analytics to improve patient outcomes. Our solutions integrate seamlessly with EHRs and existing healthcare systems, reducing cognitive load and enhancing clinical decision-making.
Read MoreAI Patient Readmission Risk prediction refers to the use of artificial intelligence models to analyze patient data and forecast the likelihood of a patient being readmitted to a hospital within a specific timeframe, such as 30 days. These predictions help healthcare providers proactively manage high-risk patients and reduce unnecessary readmissions.
AI models use historical data including demographics, clinical notes, lab results, comorbidities, medication history, and previous admissions to identify patterns and factors associated with readmissions. Machine learning algorithms then assign a risk score to each patient based on these factors.
Key benefits include improved patient outcomes, reduced healthcare costs, better resource allocation, and proactive care planning. AI helps healthcare teams identify at-risk patients early and implement preventive measures such as personalized discharge plans or follow-up care.
Yes, when implemented correctly, AI solutions for patient readmission risk can be fully HIPAA-compliant. Security measures such as data anonymization, encryption, and secure cloud environments ensure patient data remains confidential and protected.