Electronic Health Records have been used in U.S. healthcare for almost 30 years. Many old EHR systems were made in the 1990s. These systems often cause extra work for healthcare workers because they have hard-to-use screens and require a lot of manual data entry. Doctors and nurses often spend more time writing notes than talking to patients.<\/p>\n
Studies show that healthcare providers spend about 2.3 hours on documentation for every 8 hours of patient care. This imbalance can lead to clinician burnout, less time with patients, and lower care quality. To solve these problems, newer EHR systems with built-in AI and better features are becoming popular in healthcare.<\/p>\n
One important update in new EHRs is the use of conversational search and voice navigation. These tools help doctors find patient information quickly during visits or when preparing for appointments without clicking through many menus.<\/p>\n
For example, Oracle Health\u2019s clinical AI agent lets clinicians use voice commands to get important patient data like lab results, medicines, vital signs, and medical notes. This hands-free method makes work easier and lets providers focus on patients, not computers.<\/p>\n
At AtlantiCare, a U.S. health system, healthcare workers reported they spent 41% less time on documentation\u2014about 66 minutes saved each day\u2014after using Oracle\u2019s AI agent. Doctors say this technology allows more direct talking with patients, which helps build trust and improve health outcomes. The system also creates draft notes in many languages, including Spanish, which helps communicate better with patients who do not speak English.<\/p>\n
Using voice navigation with conversational AI gives a natural way to interact with the system. Clinicians can ask questions out loud without breaking their workflow. This lowers mental stress and helps them work faster. This feature fixes a big problem in U.S. healthcare where time is very limited and quick access to correct information is very important.<\/p>\n
Another improvement in new EHRs is multimodal data access. This means combining many types of patient information from different sources into one platform. These sources include clinical data, insurance claims, social factors affecting health, pharmacy records, and genetic data.<\/p>\n
For practices and healthcare groups in the U.S. that focus on value-based care, having full patient data at the point of care is very important. Oracle Health Data Intelligence merges data from thousands of sources in real time. It uses AI to give clinicians useful insights that match the patient\u2019s health, lifestyle, and genetics.<\/p>\n
By showing data organized by care setting, condition, and role, providers can review charts faster and find gaps or follow-ups needed. This change turns raw data into clear summaries which helps doctors evaluate patients quickly and spend less time searching through multiple systems.<\/p>\n
A main feature of new EHRs in the U.S. is the use of AI to automate admin tasks, which makes work more efficient and reduces burnout.<\/p>\n
Oracle\u2019s Health Clinical AI Agent shows this progress well. It uses generative AI tech to automate writing clinical notes, managing orders, and coding medical information. It records patient talks using ambient voice technology and quickly produces draft notes for review. Automation cuts down on repetitive typing and speeds up discharge summaries, medication lists, and follow-ups.<\/p>\n
Studies show clinicians using this AI save more than one hour every day. Providers at places like Billings Clinic and Beacon Health System say the AI makes documentation more accurate and increases job satisfaction. They report fewer corrections needed, support for notes in many languages, and more time to advise patients instead of record keeping.<\/p>\n
Healthcare administrators and IT staff can expect workflow improvements beyond just documentation. Oracle\u2019s system also helps with payer-provider communication, following rules, and operations analytics using tools like Oracle Health Command Center. This aids better facility management, patient flow, and resource use.<\/p>\n
Protecting patient information and meeting healthcare rules like HIPAA is very important for providers in the U.S.<\/p>\n
Oracle meets this need by running its EHR on Oracle Cloud Infrastructure, which provides strong security like what is used in defense and government sectors. This ensures tight encryption, controlled access, and protection against breaches.<\/p>\n
As AI and cloud computing grow in healthcare tech, strong security systems are needed to keep patient trust and follow the law. Medical groups must be sure that adding AI tools and voice commands will not harm their data safety.<\/p>\n
Even with progress, there are challenges for U.S. healthcare to fully use next-generation EHR AI technologies.<\/p>\n
One problem is fitting new AI tools into existing workflows and older EHR systems. Training doctors and staff to trust and use AI well is important for success. Some may resist or doubt AI\u2019s accuracy, delaying its use.<\/p>\n
Also, rules must change to deal with ethics like data privacy, bias in AI, and openness in AI decisions. Providers should pick vendors that follow ethical AI and data safety policies.<\/p>\n
Small clinics and rural health centers might face high costs and tech issues at first. However, scalable AI solutions and cloud platforms like Oracle\u2019s target organizations of all sizes, helping lessen the technology gap.<\/p>\n
Despite these challenges, AI-driven EHR systems are expected to grow fast in U.S. healthcare. The market for AI-powered EHRs was about $5.3 billion in 2023 and may grow nearly 29% yearly until 2031. Big health systems, insurers, and public health bodies see value in AI that helps both clinical and admin tasks.<\/p>\n
Today, AI plays a big role not only in patient care but also in making healthcare work and admin tasks easier in U.S. medical offices.<\/p>\n
AI-powered EHR assistants like Oracle Health Clinical AI Agent show how many routine but time-heavy tasks can be automated, including:<\/p>\n
By automating these tasks, medical practices reduce errors, speed up processes, and lower burnout risk. This shift allows more time for face-to-face patient care and clinical thinking, improving satisfaction for both patients and doctors.<\/p>\n
For IT managers, the main job is to set up these AI systems well so they fit current IT setups and keep data safe. Cloud systems provide scaling and updates so organizations can keep up with new technology without big costs.<\/p>\n
Medical administrators gain better understanding of operations through command centers and dashboards that use data insights to guide staffing and resource decisions. This leads to smoother patient flow and better cost control.<\/p>\n Oracle\u2019s next-generation EHR aims to transform EHR systems from administrative burdens into clinical assets by embedding AI to automate workflows, provide actionable insights at the point of care, simplify documentation, support value-based care, and improve financial and regulatory outcomes.<\/p>\n<\/p><\/div>\n<\/details>\n The new Oracle EHR leverages Oracle Cloud Infrastructure (OCI) offering military-grade security, protecting sensitive patient data with the same standards used by governments and defense agencies, thus ensuring robust data privacy and compliance.<\/p>\n<\/p><\/div>\n<\/details>\n The Oracle Health Clinical AI Agent reduces documentation and ordering time, automates coding, and assists clinicians in dedicating more time to patient care by streamlining clinical workflows with intelligent automation.<\/p>\n<\/p><\/div>\n<\/details>\n By integrating conversational search, voice-driven navigation, and multimodal search, the EHR allows clinicians intuitive, rapid access to vital patient information including labs, medications, and notes, thus enhancing decision-making and efficiency.<\/p>\n<\/p><\/div>\n<\/details>\n Oracle Health Data Intelligence securely aggregates patient data from thousands of sources\u2014including clinical, claims, social determinants, and pharmacy\u2014and provides real-time AI-driven insights, supporting personalized care plans and advancing patient health outcomes.<\/p>\n<\/p><\/div>\n<\/details>\n AI-supported summaries provide consolidated, contextual patient data organized by condition and care setting, enabling accelerated chart review and reducing the time clinicians spend searching for relevant patient information and optimal treatments.<\/p>\n<\/p><\/div>\n<\/details>\n Through integration with Oracle Health Command Center, the EHR offers insights into patient throughput, staffing, and resource allocation, driving improvements in facility operations and network-wide performance.<\/p>\n<\/p><\/div>\n<\/details>\n The EHR features a natural, intuitive, and responsive interface utilizing integrated conversational search and voice navigation, designed to align seamlessly with clinician workflows for an enhanced and efficient user experience.<\/p>\n<\/p><\/div>\n<\/details>\n The system facilitates streamlined payer-provider information exchange, simplifies regulatory compliance, and uses AI to close care gaps, helping healthcare organizations optimize outcomes tied to value-based care models.<\/p>\n<\/p><\/div>\n<\/details>\n The early adopter program for Oracle\u2019s next-generation Health EHR is scheduled to start in calendar year 2025, allowing select customers to implement and experience its AI-driven capabilities ahead of general release.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":" Electronic Health Records have been used in U.S. healthcare for almost 30 years. Many old EHR systems were made in the 1990s. These systems often cause extra work for healthcare workers because they have hard-to-use screens and require a lot of manual data entry. Doctors and nurses often spend more time writing notes than talking […]<\/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-133595","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/133595","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=133595"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/133595\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=133595"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=133595"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=133595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Frequently Asked Questions<\/h2>\n
What is Oracle\u2019s next-generation EHR designed to achieve?<\/summary>\n
How does the new Oracle EHR improve security?<\/summary>\n
What role does AI play in the Oracle Health Clinical AI Agent?<\/summary>\n
How does the system improve clinician workflow and access to patient data?<\/summary>\n
What is Oracle Health Data Intelligence and its contribution?<\/summary>\n
How does the new EHR help in reducing chart review time?<\/summary>\n
In what way does the EHR aid healthcare facility and network management?<\/summary>\n
What innovations in user experience does the Oracle EHR introduce?<\/summary>\n
How does the Oracle EHR support value-based care initiatives?<\/summary>\n
When will the Oracle next-generation EHR be available for early adoption?<\/summary>\n