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Transforming Clinical Documentation with Sunoh.ai

April 5, 2024

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How Regional Medical Associates Saves Up to 90% Time on Clinical Documentation with Sunoh.ai

Adopting innovative solutions has become an important approach for businesses in many industries. Similarly, the healthcare sector is no exception. One such innovative solution is Sunoh.ai, an EHR-agnostic, AI-powered medical scribe designed to streamline clinical documentation. This case study will explore how Regional Medical Associates revolutionized their clinical documentation by leveraging Sunoh.ai’s AI-powered ambient listening technology to reduce the time spent on visit notes.

Challenge

Regional Medical Associates was confronted with a pressing issue that many healthcare providers are grappling with—the significant amount of time spent on clinical documentation. While dealing with the rising demands for healthcare services, they realized a big chunk of their time was being spent on clinical documentation. With so much time spent updating progress notes, less time was spent on patient care.

 

Solution

Regional Medical Associates turned to the leading AI medical scribe solution, Sunoh.ai, to streamline clinical documentation. This AI medical scribe uses advanced AI and ambient listening technology to automatically generate complete, precise, and detailed clinical notes from natural patient-provider conversations. Sunoh.ai has proven to be a game-changer, enabling providers to focus more on patients while ensuring the thorough transcription of clinical notes, which is critical for the future treatment protocol and decision-making during a patient’s healthcare journey.

Result

Sunoh.ai dramatically streamlined the clinical documentation process at Regional Medical Associates, reducing the time spent on notetaking by up to 90%. The accuracy of their records improved, and the AI scribe captured every detail from patient-provider conversations. Additionally, it helped optimize administrative workflows, boosting the practice’s overall clinical efficiency.

Regional Medical Associates reported saving time across operations, including:

  • 90% for a simple patient follow-up appointment
  • 60-70% for a new patient visit
  • 60-70% for a regular follow-up, not starting with a template

Conclusion

Overall, Sunoh.ai helped Regional Medical Associates save time, improve efficiency, and streamline operations. The decision to leverage the AI-powered ambient listening technology has improved patient satisfaction and overall operational efficiency. This case serves as a testament to the transformative potential of AI in healthcare.

To learn more about how Sunoh.ai works, visit www.sunoh.ai.

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