Solutions

Solutions powered by SVG logo for hStream platform.
Frame 586 (1)

Quality Manager formerly known as abaqis®

Mitigate risk and elevate your quality of care. Improving both clinical and business outcomes starts with a smarter, more integrated approach to regulatory training, continuing education and quality management.

Learn More

NEW TO THE STORE

hStream Content Marketplace

Connecting you to the Best Content. Access to 75 Partners and 35,000+ Courses in our Industry-Leading Marketplace. Streamline content purchasing, updates, hosting, and connectivity for your organizational needs

NurseGrid Learn

Online store for Clinical Learners. Individual CE Credit and industry products for Clinical Learners are now available through NurseGrid Learn (Beta). Explore our robust collection of courses that provides an unparalleled level of flexibility and choice.

Practitioner Courses

Meet the DEA's new requirement under the Medication Access and Training Expansion (MATE) Act in an online, high-quality and self-paced 8-hour DEA MATE Act course specifically designed for practitioners, including Physicians, PAs, NPs, Pharmacists, Dentists and others.

LATEST & POPULAR

BLOG

CredentialStream named the top credentialing software by G2
REPORT

2024 Annual Report on Medical Staff Credentialing
On-Demand Webinar

State of the Industry: What’s Next for Healthcare Quality & Safety in 2024?
BLOG

Summer 2024's Top Choice in Healthcare Credentialing: CredentialStream
BLOG

HealthStream Executive Briefing: CMS Minimum Staffing Standards: What You Need to Know
Webinar

Clinical Placement for the Future of Healthcare: myClinicalExchange Discussion with CommonSpirit Mt Region and UW Health

< HealthStream Resources

blog

Blog 1 (1)

Transforming Competency Development: The Role of AI in Ensuring Compliance

March 29th, 2024
March 29th, 2024

Artificial intelligence (AI) is revolutionizing industries worldwide, including the rapidly evolving healthcare field. The integration of AI continues to emerge as a transformative force in healthcare training. Healthcare providers are learning to safely and ethically integrate AI technologies into their clinical practice in patient data, lab results, prescription management, patient care, and diagnosis. The intersection of AI and healthcare training and development helps professionals maintain credentials and enhance competency in an ever-changing regulatory environment.

Maintaining Compliance

Healthcare organizations need help keeping up with stringent compliance requirements. Regulations are ever-evolving, and ensuring healthcare professionals are trained to the expected standards is a huge responsibility. Lack of compliance impacts the quality of patient care and leaves organizations at risk of legal consequences.  

The use of artificial intelligence is a powerful tool in addressing these healthcare compliance challenges, providing innovative solutions that adapt to the evolving landscape in several key ways:

  • Ongoing education and training: AI Technologies can provide continuing education and training to ensure healthcare staff follow current compliance regulations and best practices.
  • Real-time assessment: AI systems can monitor healthcare data in real-time, detecting inconsistencies with compliance. This proactive approach gives healthcare organizations space to address issues promptly, reducing the risk of non-compliance.
  • Automated monitoring: Algorithms and predictive AI assist organizations by analyzing historical data, identifying patterns, trends, and deviations from standards. This system automates monitoring processes to manage potential compliance issues before they escalate. It includes tracking regulation changes and adjusting compliance protocols while monitoring vast amounts of data, such as electronic health records (EHRs) and financial transactions.

Artificial intelligence is a powerful ally for healthcare organizations. AI addresses the enormous task of staying current with healthcare compliance requirements, mitigating risks, and enhancing patient care through innovative, adaptive solutions.

The Role of AI in Competency Training: Bloom's Taxonomy

Bloom's taxonomy is a helpful guide in designing and structuring training processes for healthcare compliance using AI models. A well-established framework in education, Bloom’s Taxonomy categorizes basic cognitive learning skills like knowledge and comprehension through more advanced skills like synthesis, analysis, and evaluation into a hierarchy. AI learning platforms like jane AI(™) leverage this structure to personalize training experiences for individual healthcare professionals, ensuring that education aligns with competency levels and thereby enhancing the effectiveness of compliance measures.

The categories of the hierarchy are in the pyramid model below:

 

 
Armstrong, P. (2010). Bloom’s taxonomy. Vanderbilt University Center for Teaching. https://cft.vanderbilt.edu/guides-sub-pages/blooms-taxonomy/

AI and Personalized Learning in Healthcare

jane is a competency development system mobilizing the power of AI to create a system that tailors programs to the unique needs of healthcare professionals. jane removes bias by measuring competency through knowledge and clinical judgment assessments aligning with evidence-based practice.

What can jane do?

  • Objectively assess competencies without bias.
  • Identify strengths
  • Highlight areas for improvement
  • Measure clinicians’ knowledge and recommend a personalized learning plan based on these findings.
  • Provide insights for ongoing competency development

Data-driven insights help healthcare organizations understand competency levels within their workforce. Insights into AI underscore its capacity to provide granular data and analytics. Information sourced from AI-powered assessment tools empowers organizations to make informed decisions, address specific areas of concern, and implement targeted interventions to improve compliance.

Harnessing the power of AI for competency training by utilizing platforms like jane is changing the paradigm and creating personalized learning journeys. AI-driven platforms identify those at risk, ensuring focused training efforts are in areas where individuals need growth. This system improves the efficiency of training programs and provides a more relevant, engaging experience.

Integrating AI for Competency Development

The integration of AI training promises to revolutionize how we educate and evaluate healthcare professionals for competency. By leveraging Bloom's Taxonomy, AI platforms like jane personalize healthcare education to address compliance challenges directly. Data and insights from AI assessments enable healthcare organizations to make critical decisions and positively impact patient care and provider compliance. 

As we embrace these benefits and the growth potential of AI in competency development, it's essential to prioritize responsible technology use. Developing trust among healthcare providers is necessary to integrate AI successfully. The evolution of AI and healthcare compliance training promises to provide a new era where compliance seamlessly integrates into personal learning, enhancing the quality of healthcare delivery. This progress will ensure a workforce well-equipped to meet and manage tomorrow's challenges.

 

References

Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: Transforming the practice of medicine. Future Healthcare Journal, 8(2), e188-e194. https://doi.org/10.7861/fhj.2021-0095. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285156/ 
Rivers, C., & Holland, A. (2023, August 30). How can generative AI intersect with Bloom’s taxonomy? Times Higher Education. https://www.timeshighereducation.com/campus/how-can-generative-ai-intersect-blooms-taxonomy
Yaraghi, N. (2024, January 8). Generative AI in healthcare: Opportunities, challenges, and policy. Brookings. https://www.brookings.edu/articles/generative-ai-in-health-care-opportunities-challenges-and-policy/ 
Request Demo