Healthcare organizations collect large amounts of data from clinical records, billing systems, insurance claims, and other places. Clinical data comes from electronic health records (EHRs) and includes lab results, diagnosis codes, medication lists, and doctor’s notes. Claims data involves insurance claims, billing codes, authorizations, and payer interactions. Usually, these data sets are kept separate in different systems, which makes it hard to get a full picture of a patient’s health history.
When clinical and claims data are combined, they form a single, united patient profile called a 360-degree patient view. This full set of data lets AI tools understand a patient’s health and financial information better. These tools can then reduce mistakes, avoid repeated procedures, and make sure scheduling, approvals, and care coordination run smoothly.
Innovaccer Inc. uses this idea with its “Agents of Care™,” a group of AI assistants made just for healthcare. These AI Agents use data from over 80 EHR systems, mixing clinical records and claims data to perform tasks accurately and with full context.
Artificial intelligence has grown from simple data tasks to automating complex jobs in healthcare administration. This is very important for front-office work like answering patient calls, setting appointments, making referrals, handling authorizations, and guiding patients. These tasks take time and can easily lead to mistakes.
For instance, Innovaccer’s AI Agents work all day and night. They sound like humans and handle routine jobs such as scheduling and referrals without human help. Since these Agents use both clinical and claims data, they can check insurance coverage and medical needs before finalizing appointments or referrals. This cuts down on administrative problems and helps staff work better, which is important for healthcare managers.
Microsoft’s Dragon Copilot is another AI tool that helps with clinical work, mainly documentation. It uses natural speech and listens in the background to let doctors save about five minutes per patient on paperwork. This saves time and helps lower burnout among clinicians, which is still a problem in the U.S., dropping only slightly from 53% in 2023 to 48% in 2024. Automation like this lets doctors focus more on patients and feel less stressed. Also, it lowers the chance that doctors will quit their jobs by 62% after using Dragon Copilot.
Healthcare today is complicated, so support is needed not just for doctors, but also for care managers, risk coders, patient guides, and call center workers. AI tools like Innovaccer’s Agents of Care™ help these teams by taking over simple, repetitive tasks that people used to do by hand. These tasks include checking patients in, handling referrals and authorizations, and closing care gaps.
This support lowers mistakes and avoids repeating work by giving information that shows both medical details and financial data from claims. The AI Agents also work in many languages. This helps serve the varied patient groups often found in many U.S. states.
For healthcare owners and administrators, this means staff can work better and make fewer errors in coordinating care. It also helps with following rules and billing correctly. AI solutions by Innovaccer follow strict security rules like HIPAA, HITRUST, SOC 2 Type II, NIST CSF, and ISO 27001. These rules keep patient data safe, giving leaders confidence when handling sensitive information.
A big challenge in healthcare AI is making sure the tools understand the patient’s full situation. Having only clinical notes or insurance claims is not enough for good decisions in tasks like scheduling or patient outreach.
Innovaccer’s Agents of Care™ shows the power of mixing clinical and claims data in one platform. This helps the AI work with better understanding. For example, when booking a follow-up visit, the AI Agent can think about things like test results or current treatments and also check if insurance covers it and if prior approval is needed. This helps cut down on rescheduling, missed visits, and speeds up care.
Microsoft’s Dragon Copilot also puts together clinical dictation, background listening, and AI medical knowledge to give doctors useful, timely information while automating paperwork. This is accurate and efficient because it connects with many clinical data sources.
Healthcare providers in the U.S. have staffing problems and patients want quick, easy access to care. Studies show too much paperwork is a big reason for staff shortages and doctor burnout. AI tools that use combined data help administrators manage this problem better.
These technologies have helped improve how work flows and have made patients happier. Microsoft reported that 93% of patients said their experience was better when doctors used Dragon Copilot. This was mostly because doctors paid more attention and the paperwork was more accurate. Doctors also felt less burned out and more satisfied with their jobs. Innovaccer’s Agents of Care™ help all healthcare staff, from scheduling teams to care managers, by reducing mistakes and delays in patient care.
For medical practice administrators in the U.S., following patient privacy rules is very important. Both Innovaccer and Microsoft follow healthcare data laws, making sure their AI tools are safe to use in healthcare settings.
The healthcare industry has many rules to follow when using AI. Handling protected health information (PHI) means keeping data private, correct, and available according to laws.
Innovaccer’s AI Agents meet HIPAA, HITRUST, SOC 2 Type II, NIST CSF, and ISO 27001 standards. This means data is encrypted and protected from the time a patient interacts with the system to the time data is stored and processed. These certifications give healthcare administrators confidence that the AI tools follow legal requirements and reduce risks.
Microsoft Dragon Copilot includes rules and AI ethics in its design. It follows Microsoft’s responsible AI rules like transparency, privacy, fairness, safety, and being accountable. This makes sure AI results are trustworthy and doctors can rely on the system to give correct information without bias or privacy problems.
Innovaccer and Microsoft are working to use AI in bigger ways beyond single healthcare facilities. They want to include full health systems, insurance companies, pharmacies, and government groups. The goal is to connect many groups through shared health data to improve care across the board.
For healthcare managers and IT staff, this means getting ready for AI to fit more deeply into their current technology setups. AI will soon be a common tool not only for phone automation or voice dictation but also for full care coordination, risk coding, and patient engagement.
Innovaccer’s Agents of Care™ aim to reduce paperwork and help clinical work through AI that fits specific needs. Microsoft’s Dragon Copilot helps doctors stay focused on patients instead of paperwork. These tools show a future where healthcare teams work better and patients get faster, well-coordinated care.
In the changing U.S. healthcare system, AI tools that use combined clinical and claims data are becoming important for handling more paperwork and improving patient care. For healthcare managers and IT leaders, using AI with full patient data is a useful way to improve work, cut mistakes, and help teams do more. As technology grows and systems connect more, these AI tools will likely be a normal part of healthcare across the country.
‘Agents of Careᵀᴹ’ is a suite of pre-trained AI Agents launched by Innovaccer designed to automate repetitive, low-value healthcare tasks. They reduce administrative burden, improve patient experience, and free clinicians’ time to focus on patient care by handling complex workflows like scheduling, referrals, authorizations, and patient inquiries 24/7.
The AI Agents streamline workflows such as appointment scheduling, patient intake, referral management, prior authorization, and care gap closure. By automating these tasks, they reduce staff workload, minimize errors, and improve care delivery efficiency while allowing care teams to focus on clinical priorities.
Key features include 24/7 availability, human-like interaction, seamless integration with existing healthcare workflows, support for multiple care team roles, and multilingual patient access. They also operate with a 360° patient view backed by unified clinical and claims data to provide context-aware assistance.
The AI Agents assist clinicians, care managers, risk coders, patient navigators, and call center agents by automating specific workflows and providing routine patient support to reduce administrative pressure.
The Patient Access Agent offers 24/7 multilingual support for routine patient inquiries, improving access and responsiveness outside normal business hours, which enhances patient satisfaction and engagement.
The Agents comply with stringent healthcare security standards including NIST CSF, HIPAA, HITRUST, SOC 2 Type II, and ISO 27001, ensuring that patient information is handled securely and reliably.
Innovaccer’s AI Agents connect with over 80+ EHR systems through a robust data infrastructure, enabling a unified patient profile by activating data from clinical and claims sources for accurate, context-aware AI-driven workflows.
AI Agents reduce the administrative burden on clinicians by automating repetitive tasks, thereby freeing their time for direct patient care. This improves patient experience through faster responses, accurate scheduling, and coordinated care follow-ups.
Unlike fragmented point solutions, ‘Agents of Careᵀᴹ’ provide unified, intelligent orchestration of AI capabilities that integrate deeply into healthcare workflows with human-like efficiency, driving coordinated actions based on comprehensive patient data.
Innovaccer aims to advance health outcomes by activating healthcare data flow, empowering stakeholders with connected experiences and intelligent automation. Their vision is to become the preferred AI partner for healthcare organizations to scale AI capabilities and extend human touch in care delivery.
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