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      Hato Hone St John (HHSJ) is New Zealand’s largest ambulance service provider, generating well over 400,000 electronic patient records (ePRFs) from face-to-face interactions per annum.

      Clinical audits and peer reviews are crucial to ensure the quality and safety of care, currently covering about 5% of these records through a volunteer-based process.

      The manual process required 250 volunteer personnel, equating to 7,500 hours annually. 

      To enhance this process, HHSJ engaged us to explore using Generative AI in clinical audits. Download the case study for more. 


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      Enhancing clinical audits and efficiency


      Key benefits

      Improved audit quality

      Higher accuracy and consistency by eliminating human biases, thus enhancing patient safety and clinical accountability.

      Enhanced data security

      Ensures sensitive data remains within organisational control, mitigating security and privacy risks.

      Regulatory compliance

      Ensures adherence to protocols and compliance requirements, reducing error risks and enhancing credibility.

      Clinical improvement

      Faster audits provide real-time insights, identifying care patterns for targeted interventions and continuous professional development.

      Cost savings

      Reduces reliance on manual labour, increasing efficiency and allowing human auditors to focus on complex cases.

      This marks a significant step in integrating AI within ambulance services, setting a new standard for industry innovation.

      Supporting our clients in Aotearoa to digitally transform, thrive, prosper, and compete on a global scale.