In today\u2019s healthcare, many medical practice administrators, owners, and IT managers have a hard time managing office work while also giving good patient care. Using artificial intelligence (AI) in healthcare workflows can help handle these problems. One important part of this change in the United States is the use of open standards frameworks like SMART on FHIR. These let real-time AI tools work right inside Electronic Health Records (EHR) systems. This article will explain how these frameworks help AI support clinical and operational work. It will also show how providers can use these tools to work more efficiently, lower office work, and keep patient care as a focus.<\/p>\n
At the center of AI in healthcare is the SMART on FHIR framework. This open technology lets developers create apps that work smoothly with EHR systems without big changes to how medical staff do their work. SMART means Substitutable Medical Applications and Reusable Technologies. FHIR means Fast Healthcare Interoperability Resources, which is a way to share health information electronically.<\/p>\n
Since most big EHR companies in the U.S. support SMART on FHIR, healthcare groups can add AI apps that work inside the usual EHR system. This is good for medical practice leaders and IT managers because it avoids costly system changes and hard training. Instead, users can open AI tools straight from a patient\u2019s record, which helps automate tasks needed to coordinate patient care.<\/p>\n
For example, Infinitus is a company that makes voice AI tools. They have built a SMART on FHIR app that doctors and staff can open from a patient\u2019s profile in popular EHRs. When used, the app applies AI to do office jobs like checking insurance benefits and handling prior authorizations. This saves clinicians many hours by cutting time spent on phone calls and paperwork, so they can spend more time with patients.<\/p>\n
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Putting AI inside health system workflows lets it help in real time during patient visits or office tasks. First, the user logs into the EHR, which keeps data safe and follows HIPAA rules. After login, the AI gets the right patient information from the EHR to personalize how it works. For AI that handles calls like Infinitus, this means figuring out which calls or tasks to do based on current patient data and insurance info.<\/p>\n
These AI systems take over many manual tasks that slow work down. This includes scheduling patients, checking insurance, getting prior claim approvals, and sending follow-up messages. The results from AI interactions are sent back into the EHR so doctors and staff can see the latest data and decide what to do next in patient care.<\/p>\n
This method helps solve a big problem for healthcare managers: balancing the need for detailed office work with the goal of spending more time on clinical duties. Automating repeated tasks helps use resources better and cuts errors from manual data entry.<\/p>\n
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Infinitus shows how AI can be used in front office and administrative work in U.S. medical practices. Their AI voice assistants are made especially for healthcare. These AI helpers make and receive calls to patients, insurance companies, and providers. They manage complex office tasks without needing doctors to get involved.<\/p>\n
Shyam Rajagopalan, CTO and co-founder of Infinitus, says adding AI voice agents inside EHR systems is a big step to improving work efficiency. He says giving healthcare providers AI tools inside their usual workflows makes using AI simpler and improves patient care and staff work.<\/p>\n
Because the software uses SMART on FHIR, medical offices get a safe and scalable tool that causes little interruption. The AI agents check users\u2019 identity and plan call steps based on patient info in real time. This quicker process speeds up insurance checks and prior authorizations, which usually take a lot of time and often have delays when done by hand.<\/p>\n
Using AI like this cuts down on staff time for phone calls and follow-ups, so there is more time for clinical tasks. This is important when many healthcare workers are short and burnout is common.<\/p>\n
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Besides front office tasks, AI is also helping care managers by making documentation easier to handle. HealthEdge\u2019s GuidingCare platform is an example of AI inside healthcare workflows. It focuses on summarizing clinical data and helping with decisions.<\/p>\n
Care managers often work with lots of notes, patient observations, and assessments. The amount of data can be too much, slowing decisions and cutting time with patients. To help with this, HealthEdge made an AI Summarizer inside GuidingCare. It looks at notes from the last 90 days and makes a short Member Summary with a list of important follow-up tasks.<\/p>\n
This tool helps care managers quickly find key diagnoses, visit reasons, and care gaps without reading much text. It makes care coordination faster and helps focus on patient needs, especially for high-risk patients with complex care.<\/p>\n
HealthEdge\u2019s AI Summarizer includes human review and feedback to make sure the AI content is correct and follows HIPAA rules with secure systems and role-based controls. It supports clinical judgment and does not replace it, following responsible AI use practices.<\/p>\n
This AI summarization cuts review time and lets care managers handle more patients well, improving overall care quality.<\/p>\n
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Healthcare workflows have many people and steps involved. Using AI to automate routine tasks brings clear benefits. Front-office tools like those made by Simbo AI combine AI phone answering with workflow automation to improve office work for medical providers.<\/p>\n
Simbo AI focuses on AI phone systems that handle incoming and outgoing calls for scheduling, medication refills, patient reminders, and insurance checks. These systems make sure calls are answered with little human help, so patients don\u2019t get frustrated by missed calls or long waits, and staff have less work.<\/p>\n
When these AI phone systems use open standards like SMART on FHIR, they connect with EHRs to get patient info. This means calls are personalized and efficient. For example, if a patient calls asking about a referral or insurance approval, AI can get data from the EHR and give correct, up-to-date answers.<\/p>\n
This connection also helps data flow better in the healthcare system. Information from phone calls is saved electronically in the EHR. This lowers duplicate typing and makes records more accurate. For IT managers, this creates a safer and smoother data system because all communications can be tracked and checked while following privacy rules.<\/p>\n
AI-triggered automations can also start other workflow steps automatically. These include sending follow-up messages, updating care teams, or flagging urgent issues. This helps create a more responsive system for patient care.<\/p>\n
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Both clinics and hospitals have ongoing office work like checking insurance, getting authorizations, and managing documents. These tasks take time away from patient care. Adding AI to clinical workflows with frameworks like SMART on FHIR helps reduce these burdens step by step.<\/p>\n
Real-time automation and summarization lower office work and boost how smoothly operations run. They address a main concern for U.S. medical practice administrators: making sure patients get timely, quality care while keeping data safe and following rules.<\/p>\n
The success of these AI tools depends on how well they fit into clinical work and how easy they are for users. Healthcare providers who use these tools get better office work without disturbing their usual practices. They also lower human mistakes and improve data quality, all while keeping patient health information secure.<\/p>\n
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For IT managers, deciding to use AI tools for clinical and office work means checking how well they work with current systems, how safe they are, and how easy they are to use. SMART on FHIR standards are used widely in U.S. healthcare, making these checks easier. AI apps can open directly inside EHRs, lowering risks of compatibility problems and split data.<\/p>\n
Security features like user login, role-based access, and safe data transfer are key to keeping patient info private and correct. Using AI apps that follow HIPAA and related rules helps IT teams give healthcare groups reliable tools that protect against data leaks and improve data handling.<\/p>\n
IT managers also keep watching how AI tools work and make sure humans continue to check the system. Responsible AI use means adding feedback and compliance steps to keep clinical info accurate and follow standards.<\/p>\n
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In the U.S., medical practice administrators, practice owners, and IT managers are starting to see the value of putting AI tools right inside healthcare workflows with open standards like SMART on FHIR. Companies like Infinitus and HealthEdge show how AI can help with phone automation, office work, and clinical note summarizing without changing EHR systems.<\/p>\n
Automating office tasks like insurance checks, prior authorizations, and document review helps healthcare groups lower staff workloads, improve patient access, and better coordinate care. These improvements need strong focus on data security, system connection, and careful AI use to work well.<\/p>\n
Using AI this way offers a clear way for healthcare providers to run operations better while still focusing on patient care \u2013 a realistic answer to the challenges faced by healthcare providers in the American healthcare system today.<\/p>\n Infinitus has launched a SMART on FHIR application designed for seamless integration with Electronic Health Records (EHRs), enabling AI solutions to be launched directly within popular health system record systems.<\/p>\n<\/p><\/div>\n<\/details>\n Users can activate the Infinitus voice AI agents directly from within a patient’s profile in the EHR system, allowing healthcare providers to initiate AI-driven tasks while staying in their existing workflow environment.<\/p>\n<\/p><\/div>\n<\/details>\n The voice AI agent can verify insurance benefits and manage prior authorizations, automating lengthy administrative processes to free healthcare staff for higher-value clinical tasks.<\/p>\n<\/p><\/div>\n<\/details>\n Health systems need to have SMART on FHIR capabilities, which most major EHRs support, allowing easy activation and integration of Infinitus AI solutions after user authentication.<\/p>\n<\/p><\/div>\n<\/details>\n After user authentication, the app securely pulls patient data from the EHR source, determines the appropriate AI call flow, and electronically transmits collected data for review and next-step decisions.<\/p>\n<\/p><\/div>\n<\/details>\n Embedding AI agents enhances patient care by streamlining access to services, reducing administrative burdens, improving operational efficiency, and enabling providers to focus more on direct patient care.<\/p>\n<\/p><\/div>\n<\/details>\n The primary users include healthcare providers within health systems who require improved patient access and streamlined administrative workflows supported by AI technology.<\/p>\n<\/p><\/div>\n<\/details>\n SMART on FHIR provides the open standards framework that facilitates interoperability, allowing Infinitus\u2019 AI applications to be embedded and launched within existing EHR platforms.<\/p>\n<\/p><\/div>\n<\/details>\n The app authenticates the user, extracts relevant patient information, uses this data to guide AI agent interactions, and securely transmits results back for healthcare providers to assess and proceed.<\/p>\n<\/p><\/div>\n<\/details>\n Infinitus aims to streamline patient access, reduce administrative workload on healthcare workers, and make AI-powered support an effortless part of clinical and operational workflows through seamless EHR integration.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":" In today\u2019s healthcare, many medical practice administrators, owners, and IT managers have a hard time managing office work while also giving good patient care. Using artificial intelligence (AI) in healthcare workflows can help handle these problems. One important part of this change in the United States is the use of open standards frameworks like SMART […]<\/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-162633","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/162633","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=162633"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/162633\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=162633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=162633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=162633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Frequently Asked Questions<\/h2>\n
What is the new SMART on FHIR app introduced by Infinitus?<\/summary>\n
How does the Infinitus app integrate with existing EHR workflows?<\/summary>\n
What capabilities does the Infinitus voice AI agent provide in healthcare?<\/summary>\n
What is required to use Infinitus solutions within a health system’s EHR?<\/summary>\n
How does Infinitus ensure data security and seamless information flow?<\/summary>\n
What are the main benefits of embedding AI agents into EHR systems?<\/summary>\n
Who are the primary intended users of the Infinitus platform integrated with EHRs?<\/summary>\n
What role does SMART on FHIR play in the integration process?<\/summary>\n
How does the Infinitus app handle patient data within the integration?<\/summary>\n
What impact does Infinitus aim to achieve by integrating AI with EHR and phones?<\/summary>\n