Before we look at the benefits of built-in interpreting services in EHR systems, it is important to know the problems with old interpreting methods for telehealth. Usually, providers had to use phone or video interpreting tools that worked outside their main healthcare software. This meant opening different apps or web pages, switching between platforms, or managing several links just to talk with interpreters.<\/p>\n
These extra steps cause some workflow problems:<\/p>\n
Telehealth platforms have struggled with these problems, especially when trying to add interpreting solutions that fit smoothly into busy clinical workflows. This creates obstacles for healthcare workers who want to give timely and good language help to diverse patients.<\/p>\n
To fix these workflow issues, some tech companies have worked on adding interpreting services directly inside popular EHR systems. This lets healthcare providers connect with interpreters by phone or video without leaving the patient record screen they already use.<\/p>\n
One example is Boostlingo working with athenahealth, a big EHR provider in the U.S. Thanks to this partnership, healthcare workers can get interpreter help whenever they need it without leaving the athenahealth platform. This makes workflows simple and helps providers offer language support fast and easily.<\/p>\n
Key benefits of having interpreting tech inside EHR systems are:<\/p>\n
For medical office managers and IT teams, this integration can bring smoother telehealth visits, better efficiency, and possibly lower costs because of more productivity and fewer tech problems.<\/p>\n
Artificial intelligence (AI) has changed many parts of healthcare, and interpreting services are no different. By 2024 and into 2025, AI features have become more common in remote phone interpreting solutions. These AI tools help healthcare providers by supporting human interpreters and improving how fast and well they communicate.<\/p>\n
Some important AI features either available now or being developed for interpreting include:<\/p>\n
Even with these advances, AI works best as a helper for human interpreters, not a replacement. Medical talks can involve cultural details, ethics, and emotions that AI cannot handle well without humans. Most experts say mixing AI tools with human skills gives the best results.<\/p>\n
Carl Abesames, an expert in interpreting technology, says AI can improve workflow by doing routine jobs like transcription and summaries. Meanwhile, human interpreters stay in charge of sensitive talks where culture and ethics matter most.<\/p>\n
Healthcare managers looking at AI interpreting solutions should find platforms that balance tech help with real human interpreters. This keeps communication correct and preserves the quality of patient care.<\/p>\n
Adding embedded interpreting technology combined with AI automations matters a lot for U.S. healthcare providers. Many people in the U.S. speak languages other than English at home. The U.S. Census Bureau says nearly 22% of residents speak a language different from English, showing why multilingual communication is needed in healthcare.<\/p>\n
Using these technologies means:<\/p>\n
As AI and built-in interpreting grow in healthcare, new rules and guidelines are being made to protect human interpreters and make sure technology is used properly. These rules focus on:<\/p>\n
Interpreter training now includes learning about AI to help them work well with technology. Language service providers also teach healthcare groups how to mix AI features with human interpreter skills to keep communication good.<\/p>\n
Looking ahead to 2025 and beyond, healthcare interpreting will keep combining human skills and technology advances. Large language models (LLMs) and AI will help communication more but will not replace human judgment or feelings.<\/p>\n
For medical office managers, owners, and IT staff, learning about these changes and using integrated interpreting technologies can lead to telehealth services that work better and give patients better experiences. Built-in interpreting inside EHR systems is a useful step toward fixing telehealth workflow problems and making care easier to reach for many people.<\/p>\n The top trends include integration of phone and video interpreting directly into Electronic Health Records (EHR) systems, expanded use of AI in consecutive interpreting, and a growing focus on maintaining human interpreter skills like cultural sensitivity and ethical judgment alongside AI tools.<\/p>\n<\/p><\/div>\n<\/details>\n EHR systems will embed on-demand interpreting services directly, eliminating the need for multiple platforms. Providers can access interpreting features within their existing healthcare software, streamlining workflows and improving patient-provider communication.<\/p>\n<\/p><\/div>\n<\/details>\n Telehealth platforms struggled to offer integrated interpreting services, often requiring providers to use external apps and manage multiple links, creating workflow inefficiencies and potential delays in patient care.<\/p>\n<\/p><\/div>\n<\/details>\n AI supports remote simultaneous interpreting by providing automatic transcription, speech-to-speech translation, and meeting summaries. However, it serves as an aid rather than replacement in complex healthcare conversations where cultural and ethical nuances are crucial.<\/p>\n<\/p><\/div>\n<\/details>\n Human interpreters provide essential cultural sensitivity, emotional intelligence, and ethical judgment that AI currently cannot replicate. These human qualities are crucial in sensitive healthcare situations for accurate and compassionate communication.<\/p>\n<\/p><\/div>\n<\/details>\n Examples include speech-to-speech translation, automatic transcription, and translation summaries incorporated in remote simultaneous interpreting platforms, enhancing meeting productivity and accessibility across multiple languages.<\/p>\n<\/p><\/div>\n<\/details>\n Interpreters are embracing AI by participating in training programs focused on AI tools, attending workshops, and integrating AI features to augment their work while preserving the human aspects of interpreting.<\/p>\n<\/p><\/div>\n<\/details>\n It reduces technological barriers, allowing healthcare providers to communicate effectively and instantly with patients in multiple languages, thereby improving accuracy, timeliness, and overall quality of care.<\/p>\n<\/p><\/div>\n<\/details>\n New legislation and best practice guidelines aim to protect the critical human role in interpreting, ensuring AI is used as a complementary tool without compromising quality, ethics, or trust in healthcare communication.<\/p>\n<\/p><\/div>\n<\/details>\n Providers are actively informing clients about AI\u2019s capabilities and limitations, helping them navigate the integration of AI tools while emphasizing the importance of human interpreters in delivering culturally and ethically sound services.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":" Before we look at the benefits of built-in interpreting services in EHR systems, it is important to know the problems with old interpreting methods for telehealth. Usually, providers had to use phone or video interpreting tools that worked outside their main healthcare software. This meant opening different apps or web pages, switching between platforms, or […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-140850","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/140850","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/comments?post=140850"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/140850\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=140850"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=140850"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=140850"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Frequently Asked Questions<\/h2>\n
What are the key interpreting technology trends projected for 2025 in healthcare?<\/summary>\n
How will EHR systems enhance real-time interpreting services?<\/summary>\n
What challenges have telehealth platforms faced regarding interpreting before 2025?<\/summary>\n
What role does AI currently play in healthcare interpreting?<\/summary>\n
Why can’t AI fully replace human interpreters in healthcare?<\/summary>\n
What are some examples of AI-driven interpreting tools mentioned?<\/summary>\n
How is the interpreting profession adapting to AI advancements?<\/summary>\n
How does integrating interpreting with EHR impact patient care quality?<\/summary>\n
What regulatory or ethical measures are emerging to balance AI and human interpreting?<\/summary>\n
How are language service providers educating clients about AI in interpreting?<\/summary>\n