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How Does Conversational AI Use Affect Trust and Communication in Cancer Care? A Multi-center Survey Study

Navigating Conversational AI in Cancer Care: Discrepancy, Trust, Patient Engagement, and Doctor-Patient Relationship Dynamics — A Multi-center Cross-sectional Survey Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0012075
Enrollment
700
Registered
2026-06-04
Start date
2026-06-08
Completion date
Unknown
Last updated
2026-06-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Inje University Ilsan Paik Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: [Patients] ? Adult aged =19 years ? Histologically confirmed solid or hematologic malignancy ? Receiving systemic chemotherapy for =3 months at a hematology-oncology unit ? ECOG performance status 0–3 ? Able to communicate in Korean and provide written informed consent ? At least one conversational AI use experience for cancer-related information (patient or caregiver) [Caregivers] ? Primary caregiver designated by the patient ? Accompanied =1 clinic visit in the past 3 months ? Adult aged =19 years, capable of written consent [Physicians] ? Board-certified hematologist-oncologist or oncologist/hematologist ? Currently engaged in direct patient care ? Affiliated with a participating institution or member of KSH/KSMO

Exclusion criteria

Exclusion criteria: ? Patients under observation only (no active chemotherapy) ? ECOG performance status 4 ? Cognitive impairment or delirium precluding survey completion ? Uncontrolled pain, dyspnea, or acute symptom deterioration ? Attending physician's judgment of clinical instability ? Neither the patient nor the accompanying caregiver has any conversational AI use experience

Design outcomes

Primary

MeasureTime frame
Perceived information discrepancy between conversational AI and physician, and trust calibration decision

Secondary

MeasureTime frame
Proxy AI use patterns and caregiver information filtering behavior ;Physician Duality — discrepancy between physicians' attitudes toward their own AI use versus patient AI use;Mirror Gap — group-level discrepancy between physician-estimated and patient-reported non-disclosure rates of AI-derived information;Moderating role of baseline physician-patient trust (Trust Anchor) on perceived information discrepancy and trust calibration

Countries

Korea, Republic of

Contacts

Public ContactKANG RAE PARK

Inje University Ilsan Paik Hospital

0070pkr@naver.com+82-31-910-7200

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Jun 11, 2026