Suki -2023- [2021]
Anecdotal evidence and user data from 2023 painted a clear picture: clinicians using Suki reported a significant decrease in stress levels. The mental energy previously devoted to remembering what was said during the visit, or mentally structuring the note during the exam, was freed up. This allowed the doctor to maintain eye contact, practice active listening, and build a stronger therapeutic alliance with the patient.
4.2/5 – A powerful, practical tool that delivers on its promise of saving time, but with important caveats about specialty fit and error vigilance.
Before 2023, most medical scribes used rules-based NLP. Suki -2023- pivoted to a proprietary large language model (LLM) fine-tuned on clinical data. Unlike ChatGPT (which hallucinates medical data), Suki’s 2023 model introduced "citation linking," where every generated sentence pointed to a source in the patient’s history. Suki -2023-
Based on reports from the 2023–2024 rollout, these features resulted in: How Ambient AI Is Transforming EHRs: MEDENT & Suki
In March 2023, Suki announced native integration with , the dominant EHR provider. This was a game-changer. Previously, AI scribes required clunky copy-paste workflows. The 2023 update allowed Suki to both read and write directly within the Epic Haiku and Canto mobile apps. Anecdotal evidence and user data from 2023 painted
Suki positioned itself perfectly at this intersection. Unlike general-purpose AI tools that hallucinate facts or struggle with medical nuance, Suki was built specifically for healthcare. In 2023, the company leveraged the advancements in generative AI but grounded them in a proprietary engine designed for the rigors of clinical documentation. The result was a tool that didn't just transcribe voice to text; it listened, understood context, and generated structured medical notes in real-time.
Suki's ability to suggest ICD-10 and CPT codes based on the encounter dialogue was a financial boon for health systems. Accurate coding ensures proper reimbursement and reduces the risk of audits. By automating this, Suki helped revenue cycle teams operate more efficiently, proving that the ROI of AI wasn't just about time saved, but money earned. but money earned.
: Suki "put together" a platform for partners, allowing other healthcare tech companies (like EHRs and telehealth platforms) to embed these ambient AI features directly into their own applications. Key Performance Benefits