Clinical Scorecard: Utilizing AI Chatbots to Assist Patients with Breast and Ovarian Cancer: A Scoping Review

At a Glance

Key Highlights

• Breast cancer is the most prevalent cancer among females globally with 2.3 million annual diagnoses.
• Ovarian cancer accounts for approximately 313,959 new cases annually.
• 20-50% of breast cancer patients experience treatment non-adherence due to psychosocial factors.
• Chatbots enhance patient care by providing personalized support and improving communication.
• Few studies have specifically examined chatbot applications tailored to breast and ovarian cancer.

Guideline-Based Recommendations

Diagnosis

• Utilize AI chatbots to assist in understanding diagnostic procedures.

Management

• Implement chatbots for managing treatment expectations and providing education.

Monitoring & Follow-up

• Employ chatbots for real-time monitoring of patient inquiries and needs.

Risks

• Address psychosocial factors and financial barriers impacting treatment adherence.

Patient & Prescribing Data

Patients with breast and ovarian cancer, including those with hereditary syndromes.

Chatbots can facilitate personalized emotional support and resources.

Clinical Best Practices

• Integrate chatbots into clinical workflows for enhanced patient communication.
• Utilize chatbots to collect family history for risk assessment.
• Ensure chatbots provide reliable and personalized resources for patients.

Related Resources & Content

• World Health Organization
• Arksey and O'Malley Framework
• PRISMA-ScR