Alberta Machine Intelligence Institute

AI-Enabled Preventive Care: Reducing Hospitalizations and Enhancing Patient Health

Industry

Healthcare

Identify At-Risk Patients

AI-driven patient outreach identifies at-risk individuals for preventive care, enabling timely interventions that reduce preventable hospitalizations, improve patient outcomes, and lower healthcare costs.

The Problem

Healthcare systems struggle to identify at-risk patients early, leading to preventable hospitalizations and higher treatment costs. Fragmented data from multiple sources exacerbates delays in initiating timely care interventions.

The AI Opportunity

AI leverages patient data from diverse sources to identify at-risk individuals early and recommend personalized outreach strategies. By analyzing patterns, AI tools enable healthcare providers to intervene with timely care plans that prevent complications and hospitalizations.

Why It Matters

Timely preventive care improves lives by addressing health issues before they escalate. According to WHO's 2024 Global Patient Safety Report, more than one in ten patients globally suffer from adverse events such as medication errors, healthcare-associated infections, and surgical complications, with approximately half of all harm being preventable. Proactive interventions reduce the emotional, physical, and financial burdens on patients, create efficiencies for healthcare providers, and lower overall system costs, contributing to a healthier and more sustainable future for all.

Benefits & Impact

Reduced Hospitalizations

Early identification and intervention can significantly decrease preventable hospital admissions.

Cost Savings

Proactive care reduces expenses by avoiding costly emergency treatments and prolonged hospital stays.

Improved Patient Engagement

Timely, personalized outreach fosters stronger patient relationships, improving compliance and health outcomes.

AI Methods & Models

  • Purpose: Identify patients at high risk of preventable hospitalizations.

  • Why: Enables early interventions to improve outcomes and reduce costs.

  • Tools/Models: Gradient boosting machines (e.g., XGBoost), random forests, logistic regression.

Build Your AI Solution with Amii

As one of Canada’s three national AI institutes, Amii brings decades of expertise, advancing AI innovation and delivering industry solutions to your team. Whether you’re just starting to explore the possibilities of AI or are ready to develop advanced AI models, Amii is here to help.

Training

A successful AI solution requires both technical know-how and a strong understanding of your business. Our training aligns technical and non-technical teams, creating a shared language and fostering the collaboration needed for successful AI implementation.

Strategy

We collaborate with your team to brainstorm, evaluate, and prioritize AI use cases aligned with your business goals, building your internal capacity along the way. Our experts then validate the top idea, positioning your team for a smooth transition into development.

Development

Our unique approach places a full-time Machine Learning Resident within your team, supervised by Amii experts, to help build a custom AI solution. After the project, you have the option to hire the resident, ensuring continuity to deployment and expanding your internal AI capacity for future AI innovation.

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