AI-Enabled Clinical Teams: Driving Better Outcomes, Together

Eamonn McCormick

A clinician uses an AI-powered advisor to access diagnostic insights and care plan guidance from multimodal patient data.

In healthcare, the ultimate goal is always to deliver the best possible patient care. While artificial intelligence (AI) is rapidly evolving, our core belief is that its greatest value lies in assisting human clinicians, not replacing them. At IDC we're building AI to empower clinical teams, helping them make more informed decisions and streamline their work, ultimately leading to better outcomes for patients.

The Realities of Clinical Documentation

You might imagine that all the information in a patient's electronic medical record (EMR) is a perfect, unbiased source for AI to learn from. However, the reality of clinical documentation presents some unique challenges:

• Sensitive Information Stays Private: Clinicians often hold back from fully documenting every nuanced thought process or evolving diagnostic consideration due to legal concerns. This sensitive information is frequently discussed within the immediate care team but may not always make it into a permanent, discoverable record. There's a natural hesitation to put every unconfirmed idea into an official document.

• Diagnosis Codes Aren't Always the Full Story: While essential for billing, diagnosis codes can sometimes be influenced by reimbursement requirements. This can lead to choices that ensure proper payment and reduce liability, rather than always reflecting the complete clinical picture or a physician's full diagnostic reasoning.

• EMR Data Isn't Always "Pristine" for AI: Because of these pressures; communication needs, legal considerations, and billing requirements relying solely on all traditional EMR data as a perfect source for training AI, especially for complex reasoning or definitive diagnoses, can be misleading. The content and accuracy of critical data points like notes and diagnosis codes can be shaped by these real-world pressures.

Our Solution: A Confidential AI Advisor for Your Team

To navigate these complexities, our platform is designed around key principles that prioritize the clinician:

• Your Confidential AI Partner: Our AI advisor is built as a private, secure tool for the care team. Think of it as a trusted brainstorming partner. A safe space for clinicians to explore diagnostic and treatment options. Commitment to confidentiality encourages genuine and open engagement, leading to enhanced clinical decision-making.

• Focus on Actionable Data: Instead of heavily relying on notes and diagnosis codes, which can be influenced by external factors, our AI primarily learns from objective, observable data. This includes the patient's current state, accurately recorded through structured data like vital signs, labs, and medications, and the resulting orders, tests ordered, prescriptions written, referrals made. These "inputs" and "outputs" of care are more consistently documented providing a more reliable foundation for the AI to identify correlations and patterns in care delivery.

• AI as Your Guide, Not the Final Authority: Our AI will initially function as an intelligent advisor. It will help clinicians quickly retrieve medical knowledge, answer specific clinical questions, and generate comprehensive patient summaries based on available structured data. When it comes to diagnosis, the AI will present possibilities based on the information, but the ultimate diagnostic decision always remains with the clinical team.