How EClinical EMR is Changing the Billing World with V129 min read

eclinical emr
Discover with Transcure how eClinical EMR V12 is transforming medical billing through AI features like Sunoh AI, automating documentation.

According to the American Medical Association, more than 63% of physicians report signs of burnout at least once a week. Many factors can trigger burnout, but the leading causes are system inefficiencies and administrative burdens for most providers. Before the introduction of advanced EMRs like eClinical EMR, physicians faced significant challenges due to billing errors and inefficient administrative tasks. This EMR system was a significant leap toward streamlining organizational tasks. It replaced traditional patient documentation and provided an integrated system for efficient billing, allowing doctors to become free of messy paperwork and focus on medical care.

Now, with the release of eCW’s new version 12, the platform will help reduce provider burnout further by enhancing the user interface with the integration of AI-powered tools. As we are witnessing a move away from bolt-on services to automated systems, these advancements will enhance SOAP note preparation, automate documentation, and improve clinical decision-making. In this blog, we will discuss the latest features of ecw emr version12 so you can incorporate them into your practice:

Let’s Explore All The New Features of eClinical EMR V12

Before the introduction of eCW EMR V12, healthcare providers often had to rely on manual processes to document, update records, and ensure a smooth workflow. However, the integration of AI in the eCW new Version 12 is going to revolutionize the healthcare industry. It will automate most the EHR tasks and improve its efficiency, accuracy, and accessibility. Here’s how the features of eClinical EMR’s V12, like Sunoh AI, AI Assistant, and Image AI, can contribute to the progress of your practice:

 1. How Sunoh AI Improves Documentation

eClinical EMR V12 has collaborated with this era’s most advanced AI transcriber, “Sunoh AI.” This will revolutionize documentation while making it more efficient and reduce the burden for providers. It offers a robust solution for provider burnout so they can focus on giving the best patient care rather than getting tangled up with documentation.

Let’s look at the important characteristics of Sunoh.ai:

  • Ambient Listening Technology 

Before Sunoh AI physicians often used to enter SOAP notes manually in eCW software, which caused them to spend more time doing the documentation. This manual data entry diverted their attention from focusing on patient care to note-taking.

Sunoh AI allows providers to engage in an uninterrupted conversation with the patient by eliminating the hassle of making notes. It listens to every detail of the conversation between the doctor and patient during the appointment. Then, it generates a dialogue flow and provides a SOAP note, identifying relevant clinical terms like symptoms, diagnoses, and treatments. These automated notes help minimize the risk of missing important details and billing inaccuracies.

  • Medical Documentation

Order entry was also a manual process before Sunoh AI, where providers had to input orders for labs, imaging, medications, and referrals into the eCW software system after the patient visit. This task used to add to the administrative burden and increased the possibility of errors. 

Sunoh AI uses natural language processing (NLP) and machine learning to create medical documentation from patient interactions. It takes out critical details and organizes them into appropriate medical records, reducing the need for manual data entry. This system is designed to enhance efficiency, enabling providers to prioritize patient care over administrative tasks.

The provider can then make any changes and import information into the progress note, significantly reducing administrative workload.

  • Advanced Claim Management

Physicians used to review and verify all the documentation entries within the eClinical software system manually, which was time-consuming. That’s why any errors in the information resulted in claim denials requiring more time for corrections and re-submissions.

Sunoh AI has simplified the review and approval process as it makes correct notes with automation. It provides a detailed summary of the content generated by AI, along with the necessary modifications, and then imports it directly into your eClinical EMR.


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 2. AI Assistant: Improving Documentation

Patients often receive care from multiple healthcare facilities. So, providers used to face difficulty in finding patient’s past medical records in one place. Access to the patient’s complete medical history is vital for routine checkups or emergency care. These facts point to the need for new approaches in healthcare. This is where AI-powered solutions come in.

AI can act as a digital companion for healthcare providers and patients, automating tasks, providing information, and improving overall efficiency. The industry’s first health information search engine, PRISMA, compiles medical records from small clinics to large hospital systems. It offers critical patient information and data in summarized bullets. Let’s discuss how eClinical EMR’s AI assistant helps improve patient care:

  • Intelligent Health Record Search

Instead of browsing through the different sections of an EMR, they can now rely on the AI assistant for PRISMA to simplify the process. Providers can now simply ask queries, like “Show me Anna’s lab results” or ask for their medical history. With this AI assistant, providers can easily access highlights of a patient’s entire medical record within the eCW EHR. This significantly speeds up access to patient data, allowing for faster and more informed care planning. Additionally, the AI assistant helps prepare for upcoming appointments by delivering the most critical information at a glance, enhancing patient care. It also identifies and summarizes gaps in care and guarantees that crucial information is captured to improve outcomes in value-based care.

  • Automated Patient Records

Maintaining an accurate and up-to-date patient record is essential in providing quality care. However, manual data entry is not only time-consuming but also vulnerable to human errors.

The AI assistant automatically updates patient records in real time as new information becomes available. This includes lab results, prescription updates, and appointment rescheduling. By automating this process, AI minimizes the risk of human error, such as incorrect data entry or missed updates. This leads to more reliable patient data, which is essential for making informed decisions. From seamlessly scheduling appointments to automating patient record updates, the AI assistant enables providers to focus on what truly matters: patient care.

Providers and staff need training to use the AI system effectively. Adapting to automated systems may require time and effort, especially for those unfamiliar with AI technologies. Transcure’s billing experts, along with this AI assistant, can ensure that routine tasks are handled seamlessly without overburdening the in-house staff. The combined power of automation and outsourcing ensures consistent, accurate, and timely record management.

  • Virtual Assistant for 24/7 customer support

AI assistants can send personalized reminders, handle routine inquiries, enhance engagement, and schedule appointments. It also ensures that patients have access to support even outside of regular office hours without adding additional pressure on the front desk. With its ability to operate around the clock, the virtual assistant gives timely responses, improving patient satisfaction. This feature is a game-changer for practices aiming to provide continuous support without the need for additional personnel.

3. AI Integration

According to a survey, 41% of healthcare providers spend more than 4 hours every day on administrative work, including documentation. Furthermore, 65% of respondents to the survey said that the first and best place to apply AI-powered solutions is indeed with their clinical documentation. These findings point to the need for new approaches to address administrative tasks in healthcare. And that’s exactly what the suite of AI-powered solutions from eClinicalWorks, healow, and ai integration offer. Let’s analyze how eClinical EMR’s AI integration will revolutionize the overall workflow in healthcare facilities:

  • Medical Image Analysis

Healthcare providers receive a constant influx of documents, particularly faxes from hospitals, labs, and other providers. Reviewing, categorizing, and filing these documents manually is a time-consuming process that takes valuable time away from patient care. Image AI addresses this issue by automating the document-handling process. It reviews incoming faxes, identifies the type of document, and automatically arranges the provider’s record in the eCW system. This eliminates the need for manual sorting and filing, significantly reducing the administrative burden on staff.

  • AI for Robotic Process Automation

eClinical EMR has introduced a revolutionary combination of AI with Robotic Process Automation (RPA) through the Automated Playlists feature. Automated Playlists utilize multi-screen navigation to automate workflows that previously required manual input, such as data entry, patient registration, or report generation. By setting RPA bots at key areas in your eClinicalWorks EMR, you can know right away, assuming that issues are emerging from the application server, organization, or client work area. Here, automated systems like RPA can flag issues, but human intervention is often required to resolve complex errors, denials, or compliance-related problems.

Outsourcing to experienced eCW medical billing experts such as Transcure provides safety against challenges that automation alone may not solve, particularly in cases of complex claims or coding disputes. 


Automate Billing with RPA – Partner with Transcure for Error-Free Processing!



Conclusion

For years, healthcare providers have struggled with the complexities of EMR systems — from exhausting rescheduling to manual patient record entries. All of these processes are time-consuming and prone to human errors, resulting in longer periods in claim processing.

However, eClinicalWorks EMR’s latest integration with AI solutions like Sunoh AI, AI assistant, and Image AI is transforming how healthcare practices operate. By automating critical aspects of the medical billing process, Sunoh AI reduces the burden on providers, enhances the accuracy and completeness of clinical notes, and ultimately improves overall billing efficiency. AI assistants simplify patient scheduling and ensure real-time patient record updates. Meanwhile, AI significantly improves medical image analysis, providing faster and more accurate diagnosis. By improving these areas, AI enables healthcare providers to focus more on delivering quality care instead of worrying about their revenue.

Frequently Asked Questions (FAQ’s)

Is eClinical a EMR system?


eClinical Electronic Medical Records (EMR) is a comprehensive solution that streamlines patient visits and simplifies documentation. Along with the eCW practice management solution, eClinicalWorks EMR enables on-site or remote access to patient records, medical history, past visits, medication, allergies, and labs. Healthcare providers widely use the system to simplify documentation, automate administrative tasks, and improve overall efficiency in both clinical and billing processes.


What does eClinical emr do?


eClinicalWorks (eCW) EMR is a comprehensive healthcare software that includes tools for electronic health records (EHR), clinical decision support, telehealth, and patient engagement through a secure portal. It enhances interoperability by allowing data sharing between different healthcare systems, improving both patient care and operational efficiency. It also enables providers to digitally manage patient records, streamline clinical workflows, and automate administrative tasks like scheduling and billing.


Picture of Darren Straus
Darren Straus

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