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From Ambient Conversation to Clinical Notes: How Reteta is Pushing Boundaries In Automating Medical Documentation


Published on November 22, 2024

Imagine a dedicated physician slumping in her chair after a long day of patient consultations. Her eyes are weary from staring at screens, her fingers ache from typing endless notes, and her mind races with the backlog of documentation awaiting her attention. Healthcare professionals frequently encounter this situation.

The exhausting cycle of patient care and administrative tasks traps many healthcare professionals. But what if there was a way to alleviate the burden of clinical documentation? Reteta Skribe and Reteta Bcoder by Visionet, an artificial intelligence (AI)-powered solution, promises to revitalize clinical practice by accelerating and enhancing the accuracy of medical scribing.

About Reteta Skribe

This tool employs sophisticated automatic speech recognition (ASR) models specifically calibrated for medical environments.

Initial users have reported that the Reteta Skribe accurately recognizes complex medical terminology, pharmaceutical nomenclature, and multi-speaker conversations. Moreover, the clinical documentation system’s ability to differentiate between various speakers and accurately transcribe medical jargon reduces the risk of documentation errors.

Real-Time Note Generation

The clinical documentation system’s capacity to generate Subjective, Objective, Assessment, Plan (SOAP) notes in real-time is a game-changer in clinical documentation. By automating this process, Reteta Skribe can potentially save clinicians an average of two hours per day, allowing for increased focus on direct patient care and clinical decision-making.

Additionally, the generated notes adhere to standard medical formats, including appropriate International Classification of Diseases, 10th Revision (ICD-10) codes and Current Procedural Terminology (CPT) billing codes, which can streamline the billing process and reduce coding errors. It also features customization and templatization of notes to suit a clinician’s preferred format.

Moreover, the system’s 86% acceptance rate for AI-generated notes suggests a high level of accuracy, minimizing the need for extensive post-encounter clinical documentation review.

Specialty-Specific Documentation

Recognizing the diverse needs across medical specialties, Reteta Skribe offers customized note generation. For example, the cardiology system can automatically populate echocardiogram results and integrate them with patient-reported symptoms.

In orthopedics, it can generate detailed descriptions of range of motion tests and correlate them with imaging findings. In psychiatry, it can capture nuanced patient responses and organize them according to standard mental status examination criteria — the list goes on.

A crucial feature for medical-legal considerations is Reteta Skribe’s evidence mapping capability, which maps generated notes to the original transcript and audio. This function allows for easy auditing and verification.

This is particularly valuable in cases requiring peer review or legal scrutiny. Clinicians can quickly reference the exact point in a conversation where a particular clinical decision was made or a specific symptom was reported.

Electronic Health Record (EHR) Integration and Interoperability

Reteta Skribe’s integration with existing EHR systems addresses a significant pain point in healthcare information technology infrastructure. The system’s ability to interface with various platforms guarantees that patient data remains centralized and easily accessible. This interoperability can facilitate better care coordination, particularly in cases involving multiple specialists.

To put things in perspective, imagine a patient with a complicated medical history previously treated at three different hospitals for various conditions. Before EHR integration, various hospitals would have scattered the records, leading to repeated tests, conflicting medications, and delays in treatment.

With an integrated clinical documentation system like Reteta Skribe, the new physician can access her complete medical history, including test results, medication lists, and specialist notes from all three hospitals. This reduces the risk of adverse drug interactions and guarantees continuity of care across healthcare providers.

Pre-Charting and Clinical Decision Support

Reteta Skribe’s pre-charting feature analyzes historical patient data and the reason for the visit to generate contextual suggestions for the encounter. This can be a clinical decision-support tool, potentially flagging essential health maintenance items or suggesting relevant screening tests based on the patient’s risk factors.

It can also generate comprehensive, tailored after-visit summaries to address the need for effective patient communication. The system can improve treatment adherence and reduce unnecessary follow-up communications by automatically creating education materials matched to the patient’s health literacy level.

The product’s robust security measures are particularly noteworthy in the context of stringent healthcare data regulations. The system’s end-to-end encryption, data de-identification processes, and Health Insurance Portability and Accountability Act (HIPAA) compliance protocols align with the high standards for handling sensitive medical information.

About Reteta Bcoder

Reteta Bcoder is another AI-powered solution by the same company that is changing the space of medical coding and clinical documentation improvement (CDI) in healthcare settings.

Using advanced artificial intelligence, Bcoder addresses critical challenges faced by healthcare providers and payers, offering a refreshing way to streamline coding processes and improve documentation accuracy.

Central to Bcoder’s functionality is its ability to understand and interpret complex medical conversations, documents, and contextual information. This sophisticated comprehension allows the system to apply International Classification of Diseases (ICD)-10, Current Procedural Terminology (CPT), and Hierarchical Condition Categories (HCC) codes in real-time, bridging the gap between clinicians and clinical documentation improvement (CDI) teams. The result? A massive reduction in the time and effort required for accurate coding, while simultaneously improving the quality and completeness of clinical documentation.

Bcoder’s Capability Features

One of the most impressive features of Reteta Bcoder is its automated coding capability. The AI system synthesizes clinical notes and applies ICD-10 codes automatically, providing medical coders with relevant information from various coding guidelines for quick and accurate review. This automation speeds up the coding process, helps maintain consistency, and reduces human error.

Furthermore, the system’s evidence and confidence mapping feature allows coders to swiftly verify AI-applied codes by referencing specific phrases in the medical notes, along with reasoning and confidence scores. This allows for human oversight while guaranteeing the accuracy of the coding process.

What Professionals Say About the Bcoder

The impact of Reteta Bcoder on healthcare organizations is substantial. With a remarkable 70% increase in coding productivity gains, the system effectively addresses staff shortages and eliminates coding bottlenecks that often plague healthcare providers.

Moreover, Bcoder achieves a 90% coding accuracy rate, reducing revenue loss from both down-coding and up-coding. This high level of precision translates into tangible financial benefits, with healthcare providers experiencing an average of 10% revenue growth through more accurate and comprehensive coding practices.

Beyond its core coding functions, Reteta Bcoder offers many features that further improve its value to healthcare organizations.

For one, the system’s real-time clinical documentation improvement capabilities guarantee that documentation gaps are identified and solved promptly, reducing the CDI cycle from days to minutes. This immediate feedback loop allows clinicians to make necessary adjustments to their documentation practices, leading to more complete medical records.

Additionally, Bcoder’s auditing capabilities provide an extra layer of quality assurance, helping healthcare organizations maintain compliance and optimize their revenue cycle management processes.

More Implications for Medical Practice

Reteta Skribe and Bcoder’s potential to reduce administrative burden, improve clinical documentation accuracy, and improve patient communication could have far-reaching effects on clinical practice.

The reported reduction in burnout rates among early adopters suggests that AI-powered tools may be crucial in addressing the growing concern of physician burnout.

However, as with any new technology in healthcare, careful evaluation and ongoing assessment of its impact on clinical outcomes and workflow efficiency will be essential.

Medical professionals interested in exploring the potential benefits of Reteta Skribe for their practice can find more information at www.reteta.com. Creating an account is free.

Technology Reporter