Working at Top of License and Improving Care Delivery: A Q&A With Debra Patt, MD, PhD, MBA, on AI's Practical Promise in Oncology

Objective:

To explore the role of AI in improving oncology care delivery amidst specific workforce challenges such as staffing shortages and clinician burnout.

Key Findings:

• AI can alleviate administrative burdens, allowing clinical staff to focus on patient care, as evidenced by specific case studies.
• Successful AI implementation requires careful evaluation of use cases and comprehensive training for effective use.
• Change management is crucial for overcoming resistance to new technologies, particularly in clinical settings.

Interpretation:

AI holds significant potential to transform oncology practices by improving operational efficiency and supporting clinicians, but its successful integration requires careful implementation and proactive management of both technological and human factors.

Limitations:

• Challenges include bias, errors, and the need for appropriate training in AI tool usage, which can impact patient outcomes.
• Resistance to change can hinder the adoption of new technologies, necessitating strong leadership and communication.

Conclusion:

AI can enhance cancer care delivery, but its successful integration requires addressing both technological challenges and human factors, including clinician training and patient trust.