Resources

Embedding Predictive AI in Clinical Decision Support

Flowchart illustrating the process of embedding predictive AI in clinical decision support, starting with patients and clinicians, followed by predictive AI and evidence-based support, alerts, decision actions, patient data, feedback, and additional information, with Darena Solutions and MeldRx branding.

Discover how predictive AI augments traditional evidence-based practices. This white paper provides an in-depth look at regulatory insights, workflow integration, and best practices for embedding AI into clinical decision support.

Predictive AI for CDS A 7-Step Suitability Framework

Not every clinical challenge needs an AI solution. This framework offers a step-by-step guide to evaluating which problems are best solved with predictive AI, helping you determine where AI can make the most impact.

A presentation slide titled 'Predictive AI for CDS: A 7-Step Suitability Framework' with a subtitle indicating it is illustrated with a CGM based Diabetes Early Detection AI Tool. The slide lists seven steps: 1. Clinical Hypothesis, 2. Labeled Data Availability, 3. Data Structure and Preprocessing, 4. Interpretability and Explainability, 5. Financial Sustainability, 6. Bias Mitigation, 7. Data Acquisition. The bottom of the slide displays the logos of Darena Solutions and MeldRx.

5-Step Self-Assessment Tool for Your First Predictive AI CDS Solution

Kickstart your journey with our self-assessment questionnaire. Designed to help you think through implementing your first AI solution into your clinical workflows, it guides you in evaluating your requirements and identifying the next steps.

Title slide of a presentation titled 'A 5-Step Self Assessment Tool for Your First Predictive AI Powered CDS Solution' with five bullet points: Population vs. Individual Level, Data Sources, Aligning with Evidence-Based Protocols, Sourcing the AI Model, Solution Deployment and Integration. The slide features a Darena Solutions logo at the bottom and a colorful geometric background.

Quick Reference 1-Pager For CDS with Darena Health

This one-pager introduces Darena Health, a FHIR-first platform that simplifies the adoption of predictive AI-driven Clinical Decision Support (CDS) into healthcare workflows. It outlines how Darena Health integrates with any certified EHR using HL7 FHIR, highlights key benefits like a unified dashboard, continuous feedback, and flexible deployment, and provides free resources to help organizations assess AI readiness.

An informational infographic from Darena Solutions about embedding Predictive AI into clinical workflows, featuring a flowchart of steps for clinical decision support and resources for AI implementation.

CDS STAT™ is a comprehensive framework for Clinical Decision Support (CDS) that aligns with existing clinical practices and is shaped by the health IT community's collective insights. This framework addresses a broader range of CDS scenarios like device-driven activations, patient-initiated contexts, and population-level analytics that go beyond point-of-care triggers.

CDS STAT™ - Clinical Decision Support Framework

Poster titled "CDS STAT™ - Clinical Decision Support Prescribed," explaining a framework for evidence-based and AI-based clinical decision support with sections on Sources, Trigger, Alerts, Action, and Transparency, including icons for each step and logos of healthcare organizations at the bottom.

Live Presentations at ViVE 2025

Join us as we explore how a multi-model predictive AI approach can augment evidence-based workflows to improve clinical decision-making. Moving beyond the generative AI and LLM hype, we’ll examine other AI use cases and practical strategies for implementing them effectively using FHIR® standards.

ONC/ASTP has handed providers the keys to unlocking Predictive AI through HTI-1. With great power comes great responsibility. Join us to understand the challenges and lessons learned from implementing (b)(11) Decision Support Interventions with 25+ EHRs.

AI In Healthcare with FHIR® App Competition 

We recently hosted an app competition in which participants were challenged to develop innovative AI apps using FHIR-based standards. Explore our project gallery, showcasing how participants leveraged FHIR with AI to elevate clinical decision support.

AI Apps from Recent MeldRx Hackathon - Winners and More