EClinicalWorks, a cloud-based vendor of electronic health records and practice management systems for small practices, hospitals, and large health systems, will have a significant presence at the HIMSS24 Global Conference & Exhibition.
Healthcare IT News We spoke with Sameer Bhat, Co-Founder and VP of Sales at eClinicalWorks, to learn about the algorithmic workflow process innovations the Massachusetts-based EHR vendor is bringing to HIMSS24 attendees, and how AI integration improves patient satisfaction. We asked him for his thoughts on how it can be improved. and reduce burnout.
Q. How has AI in healthcare evolved in the past year since the last HIMSS World Conference, and what are the key trends in electronic health records and clinical documentation at this year's conference?
A. Over the past year, AI has moved beyond simple use cases like generative AI-enabled chatbots to more complex and specialized applications like ambient listening of clinical documents.
The main driving force behind the rapid adoption of such innovations is to reduce physician burnout and improve efficiency. The introduction of AI capabilities and enhancements has the potential to increase clinical efficiency by 20%, allowing healthcare providers to put that valuable time and energy back into patient interactions.
Emerging from this need, key AI trends at HIMSS this year include clinical documentation creation through ambient listening technology, applications that collect and summarize the large amount of data that exists on each patient, and classification and management of images and faxes. Focus on delivering value-based care and automating complex processes through robotic process automation.
From automated record search and organization for easy review before a patient appointment, to AI solutions that match incoming faxes to patients, to technology that captures and autonomously transcribes patient interactions, AI in healthcare is improving healthcare delivery. frees up their time to do what matters most: patient care. When achieved, not only will practices be run more efficiently and effectively, but the result will be a better healthcare experience for practitioners, staff, and patients alike.
Q. Before HIMSS23We discussed how making healthcare more streamlined, safer, and automated is ultimately better for patients. Can you give some examples of how this is happening?
A. EClinicalWorks V12 is the first AI-powered EHR, and over the past year we have rapidly integrated AI across all of our products to streamline and automate healthcare workflows to improve the provider and patient experience. Ta.
The common factor behind our latest AI integrations is to reduce healthcare worker burnout and improve patient satisfaction.
That's why we integrated with Sunoh.ai. Sunoh.ai is an EHR-agnostic AI-powered ambient listening technology that seamlessly transcribes and clinically documents natural conversations between healthcare providers and patients. But Sunoh.ai Medical AI Scribe does more than just transcribe conversations; it also provides smart, customized visit summaries that understand the information and automatically categorize it for easy integration with patient progress notes. We present.
This has the potential to save healthcare providers approximately one hour per day on clinical documentation.
Sunoh.ai can pre-populate and queue orders to efficiently retrieve medications, laboratories, imaging tests, and referrals. This allows healthcare providers to look patients in the eye and have human-to-human conversations. This allows patients to focus on their treatment without the provider being distracted by complex documentation. This technology is now available to customers anytime, anywhere, on any device, with support for web, mobile, and tablet products.
We also introduced an AI assistant that can translate medical documents into a patient's native language. This helps clinics serving a diverse population ensure that all patients leave the hospital fully understanding their care and next steps.
For example, Moreno Valley Physicians Association, a family medicine agency in Moreno Valley, California, helps patients receive all their care in the United States rather than returning to Tijuana, Mexico, and speaks to local health care providers about their care and medical care. I was able to have it done. Spanish documentation. When she was handed the visit summary in Spanish for the first time, she broke down in tears because she no longer needed to return to Mexico for her medical care.
AI Assistant for PRISMA allows healthcare providers to easily access highlights of a patient's entire medical record within the eClinicalWorks EHR. Healthcare providers now have access to the most important information needed for upcoming appointments to assist in patient care. We also outline gaps in care and coding to help you gain critical information for successful value-based care. Blue Bonnet Family Medicine Health and Wellness Clinic, a family medicine clinic based in Ennis, Texas, was able to see 10% more patients each day thanks to the time saved by PRISMA's AI assistant.
These AI integrations work together behind the scenes to streamline provider workflows and improve patient satisfaction. With the help of AI, patients can be confident that their healthcare provider has the most up-to-date medical information, is giving them the best possible attention, and is providing them with the information they need for continued care after their appointment. You can make your reservation with confidence.
Q. The Physicians Foundation says the Centers for Medicare and Medicaid Services' Social Determinants of Health Examination is mandatory for hospitals.Consistent with the Foundation's own SDOH recommendations. What challenges arise in ambulatory care in SDOH assessment and data use, and how can these challenges be overcome so that SDOH data is exchanged with routine and follow-up care? What do you need to do?
A. Screening is an important part of SDOH's data collection process, but it can take additional time if providers and staff have to enter separate information and fields into the EHR. Our company offers a screening tool called his PRAPARE. This works with existing EHR fields and protocols to create structured data that can be aggregated across the organization. This allows providers to collect data at the point of care and meet SDOH workflow and reporting requirements.
We also offer HL7 FHIR-based integration with networks such as Unite Us and FindHelp. It allows providers to submit and track community referrals and access resources such as social services directories, care coordination platforms, and community and patient engagement resources. For example, if a healthcare provider identifies a patient in need of housing, the system will refer them to an affordable housing organization.
Our SDOH reporting package helps you aggregate data and easily analyze the socio-economic characteristics of your patient population. Using this data and additional services such as the Disease Explorer tool, providers can identify gaps in care, prioritize referrals and interventions for high-risk patients, and report to state and federal agencies and organizations. can. Together, these solutions enable healthcare providers and medical centers to better understand their patient populations, meet regulatory requirements, and deliver the high-quality, comprehensive care that every patient deserves.
Q. Could you introduce our readers to eClinicalWorks' HIMSS24 booth? What new solutions will you be introducing?
A. It all comes back to the trend of using AI to streamline processes, reduce physician burnout, and improve patient satisfaction. Introducing an AI-powered no-show prediction model. This model helps providers across the country increase show rates and minimize missed appointments. For example, Centerpoint Health, a leading federally qualified health center, achieved 90% accuracy in identifying and reducing missed appointments. FQHC Urban Health Plan also saw a 154% increase in visit completion rates for patients identified as likely no-shows. No-show prediction model. This solution could also help healthcare organizations increase access to care in their communities and increase revenue.
We will also introduce an Image AI solution that automatically reviews faxes received from hospitals and other providers to identify the document type and match it to the correct patient record. This allows healthcare providers and staff to file documents in the right place in the patient record, saving valuable administrative time. Additionally, we integrated RPA to create automated “playlists” for quick multi-screen navigation within the EHR. So instead of clicking through several pages to see metrics like which patients need a follow-up appointment, healthcare providers can use Playlist presets to handle repeatable tasks with one click. can.
This is just the beginning of the AI showcase. We believe AI is an essential component to the future of healthcare, which is why we have integrated it across 30 different areas of EHR and applications.
From PRISMA's AI assistant and document translation to Image AI, Sunoh.ai medical AI scribe, RPA, and more, these solutions are essential to help healthcare providers successfully deliver value-based care and improve the patient experience. . Practices that implement AI into all workflows will benefit from reduced physician burnout, increased administrative efficiency, and increased patient satisfaction, resulting in improved patient outcomes.
eClinical Works Booth 4861 and 1181 in HIMSS24 Global Conference & Exhibition.
Andrea Fox is a senior editor at Healthcare IT News.
Email: afox@himss.org
Healthcare IT News is a publication of HIMSS Media.