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The Application of Collaborative Models between Large Language Models (LLMs) and Medical Staff in Patient Health Education

The Application of Collaborative Models between Large Language Models (LLMs) and Medical Staff in Patient Health Education

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500096802
Enrollment
Unknown
Registered
2025-02-07
Start date
2025-02-25
Completion date
Unknown
Last updated
2025-02-10

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

Conditions

Hematological diseases

Interventions

Trial group 1:LLMs Decision + Healthcare Worker Response (Strategy/Keyword Prompt) Technical details: 1. LLMs function: provide keywords or strategic prompts (e.g., topic points, key phrases). 2. Syst
Trial group 2:LLMs Decision + Healthcare Worker Response (Refer to Answer Scrolling) Technical details: 1. LLMs function: Generate complete reference answers (based on the context of the pre-trained m

Sponsors

Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1.Patients with hematologic diseases aged 18-65 years old. 2.Health education is required during the hospital stay. 3.Capable of understanding and signing the informed consent form. 4.Able to cooperate in completing all experimental indicators and scale assessments

Exclusion criteria

Exclusion criteria: 1.Patients with severe cognitive impairment or inability to communicate. 2.Patients who have an aversion to technological devices or the experimental protocol.

Design outcomes

Primary

MeasureTime frame
Level of Patient Education Content Understanding; Patient Satisfaction;Communication Efficiency of Medical Staff;

Countries

China

Contacts

Public ContactXie Wenjun

Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences

xiewenjun@ihcams.ac.cn+86 151 2278 4655

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026