The age of artificial intelligence is reshaping healthcare delivery worldwide, with telemedicine at the forefront of this transformation. In episode five of the DevelopmentAid Dialogues podcast, host Hisham Allam speaks with Dr. med. Jan Niclas Strickling, a German board-certified interventional cardiologist who has played a key role in advancing telemedicine through Germany’s certified centers and holds multiple certifications from the German Society of Cardiology.

“AI is redefining what’s possible in telemedicine—but at every step, it’s collaboration, not competition,” Strickling said, unpacking how digital tools are changing patient care.”

Across Germany and the EU, AI-driven triage systems, medical imaging analysis, and real-time language translation are making healthcare more accessible. “If AI takes the strain out of documentation—which is half my daily work—it frees me to focus on the patient,” Strickling explained. Wearables like the Apple Watch, CPAP machines, and glucose sensors generate continuous data streams that help identify patients’ needs remotely, especially in underserved areas.

But he cautioned that technology alone isn’t enough. “AI can bridge gaps, but equity depends on broadband access, device availability, and whether AI models are trained on diverse populations.” Without representative data, AI risks missing or misdiagnosing patients from different demographic groups.

Alongside opportunity, risks persist. Strickling described “alert fatigue” where oversensitive AI systems overwhelm clinicians with notifications, potentially obscuring urgent issues. The bigger danger is “automation bias”—over-relying on AI recommendations while sidelining clinical judgment. “The final decision must remain human,” he stressed. He recalled uploading his own ECG to ChatGPT, which wrongly diagnosed a life-threatening arrhythmia. “For patients, that can cause needless fear and erode trust in doctors.”

Highlighting the promise of AI, Strickling described a heart failure project in Germany where wearable defibrillator vests and smart scales transmit continuous health information. AI analyzes daily blood pressure, weight, and body movement to preempt hospitalizations by advising medication adjustments. “The data flood makes sense only when paired with human judgment to determine who needs attention now.”

Hybrid care models blending remote monitoring with targeted in-person visits are expanding, with virtual rounds led by nurses and specialists joining as needed. Yet, the human connection—empathy, understanding, and trust—remains irreplaceable

As digital health advances Strickling calls for transparency, patient consent, and robust regulation. “We must disclose AI’s use and limits, monitor for biases, and ensure privacy through encryption and strict data controls.” The need for accountable human oversight is paramount. “Who bears responsibility for AI-driven errors? That must be a clinician.”

Echoing the complex future, he said, “Experience and learning from mistakes remain at medicine’s core. AI assists but can’t replace the wisdom patients deserve.”

Listen to the full episode on DevelopmentAid Dialogues. Stay informed. Stay engaged.

The podcast is sponsored by DevelopmentAid. Procurement notices, funding and grants to opportunities, lists of potential partners, insights into market trends, databases of development professionals, webinars, latest news, and much more. Stay informed and connected.
Subscribe and Stay Connected