Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.

Area of Science:

• Healthcare Informatics
• Medical Documentation Systems
• Artificial Intelligence in Medicine

Background:

• Clinical documentation administrative burden contributes significantly to healthcare professional burnout.
• Artificial Intelligence (AI) driven documentation systems offer potential solutions to alleviate this burden.
• Evaluating the efficacy and impact of these AI systems is crucial for adoption.

Purpose of the Study:

• To systematically review the efficiency, quality, and stakeholder opinions of AI-driven documentation systems in healthcare.
• To assess the impact of AI technologies like ChatGPT and ambient AI on clinical documentation.
• To identify benefits and challenges associated with AI integration in medical documentation.

Main Methods:

• Systematic review conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
• Searches performed across PubMed, Embase, and Cochrane Library databases.
• Included 11 studies evaluating ChatGPT or ambient AI technologies for documentation, extracting data on AI type, document quality, and stakeholder experience.

Main Results:

• Both ChatGPT and ambient AI demonstrated potential for improving documentation efficiency.
• The quality of AI-generated documentation showed variability across studies.
• Healthcare professionals reported positive opinions, citing ease of use and reduced workload, but also raised concerns about reliability and validity.

Conclusions:

• AI technologies show promise in enhancing clinical documentation efficiency and quality.
• Addressing challenges in accuracy and consistency is essential for widespread AI adoption.
• Cautious optimism exists among healthcare professionals, with reliability contingent on further technological refinement and validation.