With so many emerging vendors in the space, it’s critical to ask the right questions before committing.
This article outlines the most important questions cardiology leaders should ask before selecting an AI partner. Whether you're leading a private practice, outpatient group, or hospital-based cardiology team, these questions will help you assess risk, validate claims, and avoid buyer’s remorse.
1. What Cardiovascular Workflows Do You Support?
AI that works for dermatology or primary care may not be optimized for cardiology’s complexity. Ask:
- Can your AI parse EKG, echo, and device data?
- Do you handle fax-based referrals from other specialists?
- Can your agents assist with chart prep for stress tests or cath labs?
If the platform wasn’t designed with cardiovascular care in mind, it won’t scale effectively in your environment.
2. Are You Integrated With Our EHR?
One of the most overlooked issues in AI selection is integration friction. Ask:
- Is your solution embedded within our EHR (Epic, NextGen, Athena, etc.)?
- Can the AI take action directly in patient records, tasking, or orders?
- Will our staff need to toggle between tools or re-enter data?
True EHR-native AI saves time. External overlays tend to create more work, not less.
3. What Level of Automation Do You Offer?
Not all AI is created equal. Some tools only suggest actions. Others fully complete tasks. Ask:
- Can your AI independently route, file, or submit prior authorizations?
- Do your agents perform full-cycle referral management?
- How do you handle edge cases or uncertainty?
Honey Health, for example, supports autonomous agents that can handle everything from pre-charting to prior auths—without human intervention.
4. How Long Until We See Results?
You shouldn’t need a 6-month rollout just to realize value. Ask:
- What’s the average time to go-live for cardiology teams?
- When do clinics typically see measurable ROI?
- Can you share examples or case studies from similar practices?
Vendors with real-world success will offer timelines backed by data.
5. How Customizable Are Your Agents?
Your workflows are unique. Any AI system must support:
- Custom rules for routing and escalations
- Support for specialized note templates and procedures
- Flexible task sequencing based on clinical roles
Rigid automation systems often fail once deployed. Look for platforms that let you evolve workflows over time.
6. What Support Do You Provide Post-Launch?
Great AI companies act like partners—not just vendors. Ask:
- Will we have a dedicated account manager or clinical operations lead?
- How do you monitor agent performance or resolve issues?
- What retraining or tuning options are available?
The post-launch period determines long-term success. Don’t overlook it in your evaluation process.
7. Are You HIPAA-Compliant and Auditable?
In cardiology, where data sensitivity and documentation are paramount, compliance can’t be an afterthought. Ask:
- Is your AI platform HIPAA and SOC 2 compliant?
- Can we see logs of what actions were taken, by whom, and when?
- How do you secure PHI and limit exposure?
Trust and transparency are non-negotiable when selecting software that touches your patients’ records.
8. Who Else Uses This in Cardiology?
Ask for references. Ask for use cases. Ask for real-world workflows. Platforms that have been deployed in cardiology before will show it.
It’s perfectly fair to request a reference call, shadowing opportunity, or anonymized case study to validate outcomes.
Conclusion: Good Questions Lead to Better Outcomes
Choosing an AI platform for cardiology is a major investment. The right questions can reveal gaps, confirm strengths, and help you find a solution that actually delivers results for your team.
Want a cheat sheet? Download our AI Evaluation Checklist for Cardiology Clinics to guide your next vendor conversation.
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