AI solution with clinical encounter automation capabilities

Solution

Itransition developed a voice-enabled AI tool using Microsoft Teams and Azure OpenAI and made it easy to integrate with Microsoft Cloud for Healthcare. The AI clinical note automation solution developed by Itransition achieved approval on AppSource, Microsoft's marketplace for certified business solutions, that validated the app’s compliance with Microsoft’s quality, technical, security, and performance standards. AppSource’s approval guarantees seamless integration with Microsoft platforms such as Office 365, Dynamics 365, and Azure, reducing procurement risks and ensuring smooth user experience. Furthermore, the add-on is compatible with healthcare solutions within the Microsoft ecosystem, ensuring visibility, interoperability, and growth potential.

Itransition’s team used our expertise in AI technology, healthcare workflows, and regulatory requirements to create the solution. As Microsoft partners, we have in-depth knowledge of their technological stack, which also made the implementation process easier.

We conducted a comparative analysis of various AI implementation strategies, assessing different factors such as data security, compliance, model accuracy, and interoperability with EHR systems. After research and testing, we selected an efficient and scalable approach— ensuring our AI-powered solution enhances clinical decision-making, operational efficiency, and patient outcomes while seamlessly integrating into existing healthcare ecosystems.

The app helps healthcare providers with a high administrative workload automate precise patient encounter documentation. The tool captures teleconference transcript data and uses it to create patient encounters that are automatically converted into SOAP (Subjective, Objective,  Assessment and Plan) notes.

Processing with the help of AI involves:

• Recording the transcript of a doctor-patient interaction during a Microsoft Teams call
• Processing the recorded transcript
• Extracting key conversation details
• Organizing data into the SOAP format
• Summarizing the encounter and documenting the results of the doctor’s visit in a report

Because data is automatically added to predefined fields in the medical record, doctors only have to review it, make corrections, and accept the note. Once finalized, the encounter is closed, and the completed note is saved in the patient’s medical records.

The solution offers numerous benefits for healthcare providers:

1. Enhanced quality of care. Accurate capture and summarization of clinical information minimizes the risk of missed details or documentation errors. All aspects of the patients’ condition and treatment are recorded clearly, leading to more precise diagnoses and improved treatment outcomes.
2. Elevated patient experience. Doctors can focus more on сommunicating with their patients during consultations rather than on mundane paperwork, offering personalized and empathetic care which increases patient trust and satisfaction.
3. Higher throughput and operational efficiency. Saving time due to automation, doctors use it to see more patients without compromising care quality, which increases the overall capacity of the healthcare facility.
4. Optimized workflows. AI integration streamlines the entire patient care cycle, eliminates bottlenecks, reduces administrative burden, and ensures seamless communication across care teams.
5. Improved clinician satisfaction. By alleviating physician burnout related to excessive documentation, healthcare professionals can focus on patient care, self-education, and professional growth, leading to greater job satisfaction.
6. Accurate financial documentation. Comprehensive documentation provides accurate, detailed records of patient encounters, which are essential for proper coding, billing, and reimbursement.

The solution has already been implemented by Itransition’s team in the following healthcare organizations:

• A large hospital managing 1,000+ daily patient visits. Administrative costs related to manual data entry were reduced by 30%, which allowed for reallocating resources to patient care initiatives.
• A multi-specialty clinic with 150 physicians adopted the solution to streamline operations across departments, which led to clinician satisfaction scores improvement by 25% and time spent on documentation reduction by 40%.
• A rural healthcare provider network with limited resources that managed to reduce claim denials by 20% due to more accurate and comprehensive documentation.