Digital Health: Gain trust in AI

Q. What are the biggest advantages of adopting AI in telehealth and remote patient monitoring – and how can DMEs get patients to embrace it? 

A. Artificial intelligence is no longer a futuristic concept for Silicon Valley startups – it’s here in everyday health care. Many DME providers are already using AI without realizing it: CPAP compliance portals that flag patients for follow-up, CGM dashboards that predict glucose spikes or call center systems that prioritize patient outreach based on risk scores. 

The promise of AI is clear: faster decisions, earlier interventions and more efficient operations. But like any tool, its value depends on how it’s implemented – and how well patients and staff trust it. 

The advantages 

• Early detection of problems: AI algorithms can analyze thousands of data points in real time, spotting issues (like a gradual drop in oxygen saturation) that human eyes might miss until it’s too late.  

• Efficient patient management: Instead of staff manually combing through compliance reports, AI can create a daily “hot list” of patients who need immediate follow-up.  

• Scalability: As your patient base grows, AI can handle the data load without adding headcount – letting staff focus on human-to-human care.  

• Data-driven proof for payers: Predictive analytics can demonstrate to insurers that your interventions prevented costly ER visits or readmissions.  

AI adoption isn’t just a technical project – it’s a people project. To improve acceptance:  

• Lead with the benefit: Explain how AI helps their care –  “This system helps us catch problems earlier, so you stay out of the hospital.”  

• Keep the human touch: Assure patients that AI flags issues, but humans (you and your clinical team) make the decisions.  

• Be transparent: If a patient’s care plan changes due to an AI alert, explain why. Avoid “black box” reasoning.  

• Start simple: Introduce AI through tools patients already use, like compliance scorecards or medication reminders, before moving to more complex monitoring.  

AI is unlikely to replace the trust and reassurance that comes from a human voice. Its role is to make that voice more timely, informed and impactful. The best AI implementations don’t replace the clinician-patient relationship – they strengthen it.  

Robin Randolph is senior vice president of marketing for sovaSage. Reach her at robin@sovasage.com. 

Quick wins: Four rules for responsible AI adoption  

1. Start with high-quality data and experience: Make sure the devices and platforms you use deliver accurate, complete and timely data –  without it, AI insights are unreliable.  

2. Keep humans in the loop: AI should support decision-making, not replace it. Always have clinical staff review AI-generated alerts before acting.  

3. Document everything: When AI influences patient care decisions, log both the system’s recommendation and the human decision that followed. This protects you in audits and liability cases.  

4. Evaluate for bias & transparency: Ask vendors how their AI models are trained, tested and validated. Avoid “black box” systems that can’t explain how they reach conclusions.