Clinician and patient perspectives on digital technology platforms for healthcare delivery
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By
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Lillian C. Chen
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Mahsa Yarmohammadi
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Peter P. Zandi
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Melvin Ortega
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Shari M. Lawson
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Ore Afon
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Mark Dredze
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Leslie Miller
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June 23, 2026
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Clinical Scorecard: Insights from Clinicians and Patients on the Use of Digital Platforms in Healthcare Delivery
At a Glance
| Category | Detail |
|---|
| Condition | Digital Technology Platforms in Healthcare |
| Key Mechanisms | AI chatbots providing health information via digital conversational interfaces |
| Target Population | Clinicians and patients in young adult mental health and prenatal care |
| Care Setting | Clinical settings utilizing digital technology for healthcare delivery |
Key Highlights
- Both clinicians and patients recognize advantages of AI chatbots but express concerns about misuse and context.
- Patients often prefer digital resources for faster answers, despite concerns about accuracy and compassion.
- Providers worry about misinformation affecting patient expectations and the provider-patient dynamic.
- The study involved focus groups with clinicians and patients to explore their experiences and concerns.
- Concerns include data security, quality of information, and the absence of human interaction in AI chatbots.
Guideline-Based Recommendations
Diagnosis
Management
- Advocate for clear, culturally attuned communication and transparent source attribution in AI chatbots.
Monitoring & Follow-up
Risks
- Potential misuse of AI chatbots and inability to account for clinical context.
Patient & Prescribing Data
Patients receiving mental health or prenatal care
Patients express unease about AI chatbots, citing risks of inaccuracies and data security.
Clinical Best Practices
- Encourage follow-up with healthcare professionals after using AI chatbots for health information.
- Utilize trusted sources to counter misinformation and unrealistic patient expectations.
Related Resources & Content
