Webinar replay - How to automate clincal documentation with AI-based ambient speech recognition?
Next generation of speech recognition is ambient. Based on an unstructured patient conversation or dictation, the AI will make the full real-time transcript, summary and automatically document it in your local EHR, including relevant medical coding.
November 11th we had invited Corti to discuss the latest advancements within Co-Pilot, powered with ambient clinical speech recognition. We had great interactive audience including radiologists, pathologists, nurses, clinical oncologists, general physicians and other clinical experts across the Nordics attending our Human Bytes AI Academy online educational session.
Below you can reply the session and learn in-depth about ambient AI, including a few live ambient dictation and conversations demonstrations, in both English and Danish. The webinar contains:
Read the summary here or replay the entire webinar.
Lasse Krogsb?ll (Abdominal Surgeon and General Physician, Clinical Product Specialist at Corti) and Sebastian Slej (Vice President of Sales, Europe Corti ) explored challenges in traditional documentation, demonstrated Corti’s innovative solutions, and discussed its potential to enhance efficiency and accuracy across clinical settings.
Key Challenges in Clinical Documentation
Clinical documentation remains a time-consuming and error-prone process, diverting clinicians’ attention from patient care and clinical experts such as radiologists, pathologists, etc. from their reading of medical imaging or tissue samples.
Current methods often require rigid dictation systems or manual entry, leading to inefficiencies, variability in note quality, and clinician burnout. Additionally, the administrative burden of tasks such as ICD-10 medical coding compounds these issues, leaving less time for direct patient interaction and at times leading to missing, or entering wrong codes that may result in incorrect patient treatments.
AI-Powered Solutions
Corti’s ambient speech recognition technology was presented as a game-changing solution for clinical documentation. The AI allows basically any type of clinician (inclduing radiologist, pathologist, etc.) to document patient interactions or free-speech reporting in real-time, capturing natural, conversational input and transforming it into structured, professional clinical notes. Unlike traditional systems, Corti’s AI requires no voice commands or strict input formatting, enabling clinicians to remain focused on patients and radiologists / pathologists on their analysis.
The AI supports multiple Nordic languages, including Danish, Norwegian, Swedish, and is expanding to include Finnish. Its ability to summarize patient-provider conversations and distinguish between patient statements and clinician responses was highlighted as a critical feature, especially in consultation and prehospital settings, such as emergency care or ambulance services.
Real-World Applications and Benefits
Corti’s technology has been successfully implemented in several clinical institutions, including Capio Hospitals across Scandinavia. In these environments, the system has reduced documentation time by up to 50%, freeing clinicians to see more patients and improving the quality and consistency of notes. For high-volume departments like orthopedics and psychiatry, this efficiency gain translates into significant operational benefits.
Corti’s AI also integrates ICD-10 medical coding, automating the selection of relevant codes based on context. This reduces administrative workload, ensures compliance, and minimizes errors. By visually highlighting supporting text for each suggested code, the AI maintains transparency (explainability) and aids clinician review.
Customization and Flexibility
The AI’s adaptability was a recurring theme, with Corti capable of tailoring documentation templates to fit the specific needs of departments like emergency medicine, orthopedics, digital pathology and many more. These customized workflows help standardize documentation while allowing for department-specific nuances.
Microphone device compatibility was also addressed, with Corti performing well on standard laptops and smartphones, though specialized microphones may enhance performance in noisy environments, especially for two-way conversations such as patient consultations.
Accuracy and Collaboration with Clinicians
Lasse and Sebastian emphasized that the system is designed to collaborate with clinicians, not replace them. To address concerns of over-reliance, Corti is developing workflows that allow clinicians to review and verify “atomic facts” in AI-generated content. This ensures that clinicians maintain control and accuracy while benefiting from the efficiency of automated documentation.
Expansion and Future Directions
Corti is expanding into specialized areas like digital pathology and plans to develop patient-facing summaries that simplify medical notes for easier patient understanding. The technology is designed to integrate seamlessly with EHR systems via APIs, enhancing usability within existing clinical workflows.
The system’s language capabilities are also evolving, supporting wider European use cases and exploring broader international applications beyond the Nordic region.
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Conclusion and Q&A
The Q&A session addressed the practical challenges of implementing AI-driven clinical documentation and how Corti addresses them effectively.
Corti’s deployment process begins with customized pilot phases, enabling seamless integration into existing clinical workflows. These pilots help departments tailor templates to their unique needs, ensuring the AI enhances efficiency without disrupting current practices. The AI’s intuitive design minimizes learning curves, allowing clinicians to adopt it quickly and effectively.
By reducing documentation time by up to 50% (see Capio example), Corti enables clinicians to focus on patient care rather than administrative tasks. This time savings leads to improved clinician satisfaction, increased patient throughput, and measurable operational benefits. Compared to general-purpose AI tools, Corti’s targeted healthcare design ensures cost-effectiveness, providing both short- and long-term returns on investment.
Corti’s API-driven integration with Electronic Health Records (EHRs) ensures seamless workflow compatibility. With strict adherence to GDPR and global data security standards, Corti prioritizes patient confidentiality and maintains compliance with healthcare regulations, making it suitable for widespread use in diverse healthcare settings.
Corti’s adaptability enables it to expand into specialized medical fields like digital pathology and anesthesiology, where workflows demand precise documentation and unique terminology. The AI’s customizable templates and targeted training allow it to meet the specific standards of various medical specialties.
?? If you'd like to discuss the potential of Corti's AI for your specialty, department, hospital or get a private demo...
...in the Nordics, contact: Ulrik Juul Rokkedal Therkildsen from Human Bytes via [email protected].
...in other countries, contact Sebastian Slej from Corti.ai
?? Finally, make sure to register for our upcoming educational AI webinar:
The Intelligent Ward is an AI software developed by WARD 24/7, based on staff needs at Bispebjerg and Rigshospitalet in Denmark. The solution enables continuous patient monitoring with wireless sensors and will automatically alert the staff in case of clinical relevant deteriorating in vital signs or if e.g. a fall is detected, or simply if the patient is on our out of the room.
The WARD clinical support system (WARD-CSS) is a unique platform for the staff to have the complete overview of all their patients in the ward or at home, significantly increasing the patient safety and creating peace-of-mind for staff, patients and relatives.
In this upcoming Human Bytes AI Academy webinar we have invited Eske Aasvang, Professor in anesthesiology at Rigshospitalet, Denmark to discuss the latest research about the impact of continuous and wireless monitoring, and the thinking behind the WARD-CSS that removes alert fatigue by filtering-out, only clinical meaningful alerts.
We also discuss the ongoing projects and research for patients at home, with continuous monitoring and virtual supervision from the distance from either a response center or from the relevant department.
When: December 12th @ 15.00 CET.
See you at one of our next educational webinars.
Team Human Bytes