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Epic Systems Corporation develops and sells electronic health record (EHR) software. Its main product, Epic, is an integrated EHR platform used by hospitals, academic medical centers, and large medical groups to manage patient care and administrative tasks. The system combines registration, scheduling, clinical documentation, and medical billing into a single database and workflow, with deployment and ongoing support provided as a service. Epic differentiates itself by serving large US healthcare organizations with a comprehensive, centralized platform, a large existing client base, and extensive implementation and maintenance services that tailor workflows to hospital needs. The company’s goal is to improve the quality of care and patient safety by centralizing patient data and streamlining clinical and administrative processes across care teams.
Industries
Enterprise Software
Healthcare
Company Size
10,001+
Company Stage
Growth Equity (Non-Venture Capital)
Total Funding
$40M
Headquarters
Verona, Illinois
Founded
1979
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Total Funding
$40M
Above
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Funded Over
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ChatGPT Health is now inside Epic: what devs must know. 8 hours ago 0 OpenAI connected ChatGPT Health to Epic Systems on September 1, embedding AI directly inside the EHR platform that runs clinical operations at roughly 40% of US hospitals and holds records on 325 million patients. This is not a health app launch. It is a platform move - OpenAI inserted itself as the ambient AI layer between clinicians and their patient data, without requiring doctors to switch tools. What actually shipped. The integration operates in two modes. In the first, clinicians pull authorized patient context from Epic - appointment notes, lab results, medications, specialist documentation - into a ChatGPT conversation. In the second, ChatGPT is embedded directly inside the Epic EHR interface, eliminating context-switching entirely. The connection is read-only in both modes. ChatGPT cannot write to the chart, place orders, or alter clinical documentation. Alongside the Epic connector, OpenAI launched a Healthcare Public Data plugin tying ChatGPT to nine official datasets simultaneously: PubMed, ClinicalTrials.gov, CMS Coverage, DailyMed, openFDA, RxNorm, Medicare Care Compare, and two additional government sources. A physician can cross-reference drug interactions against DailyMed and check relevant clinical trials without ever leaving the patient chart. The access tax. None of this is available to organizations that have not done the compliance work. Three requirements apply before any Protected Health Information can touch ChatGPT. First, a signed Business Associate Agreement with OpenAI - without one, HIPAA prohibits using patient data in the system. Second, a ChatGPT Work or Enterprise subscription - the free tier does not qualify. Third, organizational approval from the hospital itself: Epic controls which applications can connect via its FHIR APIs, and health system administrators must explicitly authorize the connection. OpenAI validated safety with physicians across 4,363 ratings spanning 27 clinical use cases: 99.1% rated safe, 93% or higher rated accurate. That sounds reassuring until you run the math - roughly 39 of those evaluations came back problematic. In software, that is noise. In clinical medicine, that is someone's medication contraindication getting missed. Who gets hurt. Every startup that built its product around AI-assisted patient record retrieval is now competing with a ChatGPT bundle. Hospital CIOs have a new default answer when smaller vendors pitch - "we'll wait and see what Epic plus OpenAI does next." That is not a rejection; it is indefinite postponement, which is functionally the same for a company burning runway. The $1.6 billion invested in specialized ambient documentation tools - Abridge, Ambience, Suki, Heidi - is safer. Read-only access does not touch their core value: AI that listens while clinicians talk and writes the note afterward. Prior authorization, clinical coding, and longitudinal patient monitoring also remain open territory. According to TechCrunch, OpenEvidence - the physician-focused AI that raised $250M at a $12B valuation in January - has insulation through specialty-specific depth and FHIR-native integrations that general-purpose ChatGPT does not replicate. The privacy question has not closed. OpenAI's BAA covers US HIPAA compliance at the institutional level. It does not cover international deployments. India has no equivalent to HIPAA's statutory protections. Patient records flowing through OpenAI's infrastructure under a US BAA carry no designated legal protection in most of the world's healthcare markets. Two pending lawsuits against OpenAI predate this integration - both involve allegedly dangerous medical outputs. The BAA limits institutional liability. It does not constrain what the model tells a physician who acts on its output. What comes next. This integration is the template, not the endpoint. Google DeepMind and Anthropic both have the model capabilities and enterprise relationships to build equivalent EHR connectors. Write-access - ambient documentation, prior authorization, clinical coding - is the obvious next frontier, and the one that will genuinely restructure clinical workflows. Federal regulators at CMS and HHS are watching; how AI-assisted care gets reimbursed will determine whether these integrations deepen or stall. Developers building in healthcare now have a clearer picture of what OpenAI controls: the read layer inside Epic, connected to nine public datasets, available to organizations willing to sign a BAA and pay for Enterprise. The write layer, specialty depth, and longitudinal monitoring remain open. For the moment. I am a playful and cute mascot inspired by computer programming. I have a rectangular body with a smiling face and buttons for eyes. My mission is to cover latest tech news, controversies, and summarizing them into byte-sized and easily digestible information.
What epic-chatgpt integration teaches Malaysian SMEs. Krystle and Sean AI is moving closer to the records your team uses. You may already use ChatGPT to draft emails, summarise meeting notes or organise internal documents. The bigger question is what happens when AI can work with the records your business depends on every day. A recent integration between ChatGPT Health and Epic, an electronic health record system, shows where business software is heading. Clinicians can import patient information, ask questions about records and prepare for appointments without manually searching through several screens. For you as an SME owner, the lesson is not that you should copy a hospital system. It is that useful AI increasingly depends on structured access to trusted business data. TL;DR: AI becomes more useful when it can safely read the right records inside your existing workflow. Malaysian SMEs should start by organising data, controlling access and testing low-risk use cases before connecting AI to sensitive systems. The Epic system holds data for more than 325 million patients, according to the source article. That scale is specific to healthcare, but the operating principle applies to smaller businesses: employees spend too much time finding information, comparing records and preparing summaries. What this means. In plain language, the integration allows authorised clinicians to bring information from an electronic health record into ChatGPT Health. The information may include appointment notes, laboratory results, medications and specialist documentation. The AI can then summarise the record, identify changes and help prepare for a future appointment. The integration is described as read-only. That means the AI can view information for approved purposes, but it does not write changes back into the health record. This distinction matters. Reading and summarising data is generally a more controlled starting point than allowing an AI system to edit customer, employee or patient records. Some deployments place ChatGPT directly inside the electronic health record workflow. This reduces the need for staff to copy information between applications. The healthcare public data plug-in can also retrieve information from sources such as ClinicalTrials.gov, CMS Coverage, RxNorm, DailyMed and PubMed, as reported by TechCrunch. There is an important boundary: AI-generated summaries are assistance, not professional judgement. OpenAI has maintained that AI is not suitable for diagnosis or treatment, and the source article reports lawsuits alleging harmful advice. It also reports that OpenAI collected more than 4,300 physician responses across 27 clinical use cases, with 99.1% assessed as safe. That figure should not be treated as a guarantee, especially where one incorrect answer could cause serious harm. Key insight: The value is not "AI knows everything". The value is "AI can help the right person find and understand approved information faster, while the person remains responsible for the decision". How this applies to Malaysian SMEs. 1. Clinics and healthcare practices can begin with administrative work. If you run a dental clinic, physiotherapy centre, medical practice or wellness business, your team may spend hours preparing appointment summaries, checking previous notes and compiling follow-up items. A carefully controlled AI assistant could help summarise records for staff review. It should not independently diagnose, recommend medication or send clinical instructions without professional approval. You also need to consider patient consent, confidentiality and the requirements that apply to personal data in Malaysia. 2. Professional service firms can organise client history. Accountants, company secretaries, consultants and legal support firms often receive information through email, messaging applications and shared folders. A secure assistant could help prepare a client-history summary from approved documents, identify missing items and create a list of questions for the next meeting. The same read-only principle is useful: let AI review selected records first, rather than allowing it to alter filings, contracts or official submissions. 3. Retail, distribution and service businesses can reduce internal searching. Imagine a sales coordinator handling a customer who has placed several orders, raised a warranty request and contacted different team members. Instead of reading every message, the coordinator could receive a timeline containing orders, delivery status, service notes and outstanding actions. The staff member still confirms the details before replying. This can be useful for furniture sellers, machinery distributors, repair workshops and B2B suppliers across Malaysia. 4. Training centres and education businesses can improve follow-up. A tuition centre or vocational provider may keep attendance records, assessment notes, parent communications and course progress in separate systems. AI could prepare a draft progress summary for a teacher or administrator. It should not make sensitive decisions about a learner without human review, but it can help staff notice missing follow-ups and prepare clearer communication. 5. Construction and field-service SMEs can connect job records. A small contractor may have site photos, quotations, purchase orders, inspection notes and WhatsApp updates spread across different channels. A controlled assistant could produce a project timeline or highlight unresolved tasks from documents that you deliberately provide. This does not replace a site supervisor. It gives the supervisor a cleaner starting point. What your data needs before AI can help. AI cannot produce dependable summaries from chaotic, incomplete or duplicated information. Before connecting any assistant to your systems, identify where important records live. You may find that customer details are in a CRM, delivery updates are in a spreadsheet, approvals are in email and instructions are in a chat group. | Area | Practical question | Starting action | | Data location | Where are the records staff need most often? List your main systems, folders and spreadsheets. | | Access | Who should be allowed to read each record? Create role-based access for owners, managers and staff. | | Accuracy | Which fields are often missing or outdated? Choose one owner for maintaining each important record. | | Workflow | Where does staff time disappear? Measure repeated searching, copying and summarising tasks. | | Risk | What would happen if a summary were wrong? Keep human approval for sensitive decisions and external messages. | The figures above are an operating checklist, not claims about industry performance. Your own workflow observations are more useful than generic promises. For one week, ask staff to record how often they search for information, repeat data entry or wait for someone to explain a customer or job history. Practical takeaways. * Choose one low-risk process, such as summarising customer enquiries or preparing an internal job brief. * Start with read-only access or manually supplied documents before considering deeper system connections. * Separate sensitive information from ordinary operational data wherever possible. * Define who can use the AI, which records it can read and what it must never do. * Require a named employee to check every AI-generated summary before it reaches a customer or affects a decision. * Keep an audit trail showing the source documents used and the person who approved the output. * Do not paste confidential customer, employee or patient information into an unapproved public tool. * Review your privacy notices, contracts and internal policies before handling personal data through a new application. * Train staff to report incorrect, incomplete or suspicious answers rather than quietly accepting them. * Measure time saved and error reduction, not the number of AI features switched on. The bigger picture. The long-term change is not simply that chatbots are becoming more capable. Business software is gradually becoming more conversational and more connected to the records people already use. Instead of opening five applications and searching each one, an employee may ask a question and receive a sourced summary inside the normal workflow. That future will favour SMEs with clean records, clear permissions and repeatable processes. Businesses that keep critical information in personal inboxes or scattered chat threads will struggle to control what an AI assistant can see. Businesses that standardise names, dates, statuses and approval steps will have a much safer foundation. Do not rush to connect every system. Begin with a process where the information is reasonably structured, the consequences of an error are manageable and a staff member can check the result. Learn what the AI gets wrong. Improve the underlying records. Then decide whether a deeper integration is justified. For a Malaysian SME, the practical opportunity is straightforward: use AI to reduce information hunting while keeping responsibility with your team. The strongest implementation will not be the one with the most impressive demonstration. It will be the one that helps your staff prepare better, respond faster and make fewer avoidable mistakes without weakening your control over business data. Ready to streamline your operations? Your business should run itself. AutoRunBiz deploys AI agents to automate your daily operations - WhatsApp orders, invoicing, customer follow-ups, and accounting. Book a free 15-min ops audit to see where automation fits your business
ChatGPT Health moves closer to hospital workflows. OpenAI's healthcare push is becoming more serious. ChatGPT Health is reportedly adding deeper integration with Epic, the electronic health record company whose software sits inside many hospitals and clinics. If that rollout works as described, ChatGPT will move closer to the daily workflow of clinicians rather than remaining a health chatbot for consumers. The new Epic integration was reported by TechCrunch. OpenAI's broader Health in ChatGPT product already allows eligible U.S. users to connect medical records and Apple Health data, while OpenAI says those connected health records and related conversations are not used to train its foundation models or target ads. The reported clinician-facing move is different. A consumer asking ChatGPT to help understand lab results is one thing. A doctor importing patient data into an AI assistant inside or alongside an electronic health record is much closer to actual care delivery. That is why Epic matters. Epic is one of the most powerful infrastructure companies in American healthcare. Its AI page already highlights tools aimed at documentation, diagnosis support, revenue cycle work and patient experience. OpenAI plugging ChatGPT Health more deeply into that world could accelerate AI use in hospitals quickly. The appeal is easy to understand. Doctors spend too much time reading records, writing notes, preparing visits and trying to find relevant information buried inside years of medical history. If ChatGPT can summarise, retrieve and explain that information safely, it could reduce administrative load and make appointments more useful. But the risk is just as real. Medical data is sensitive, messy and high-stakes. A wrong summary, missing allergy, misunderstood diagnosis or hallucinated suggestion can have consequences. That means healthcare AI cannot be judged by normal chatbot standards. It needs audit trails, clear liability, clinical validation, human oversight and strict privacy boundaries. OpenAI's health support page says Health in ChatGPT is not a replacement for professional medical advice, diagnosis or treatment. That caveat matters even more as the product moves closer to clinicians. The more useful the tool becomes, the more users may be tempted to treat it as authority. This also lands in the same week OpenAI said ChatGPT Ads reached a $1 billion annualized run rate. That makes trust even more important. If ChatGPT is going to sit near health records and clinical decisions, users need confidence that medical data is not being quietly pulled into advertising, training or product targeting. For hospitals, the question will not be whether AI can help. It can. The question is whether it can help without adding hidden risk, extra compliance burden or new kinds of dependence on one AI provider. Epic integration could make ChatGPT Health more useful, but it also makes the governance question harder. This is the direction healthcare technology has been moving anyway. AI will not stay outside the hospital, waiting for patients to paste in information manually. It will move into the systems where records already live. OpenAI now appears to be pushing toward that layer, and the industry will have to decide how much responsibility should come with that access. Related reading. Follow TechBooky Follow TechBooky for more technology stories and newsroom updates. Paul Balo is the founder of TechBooky and a highly skilled wireless communications professional with a strong background in cloud computing, offering extensive experience in designing, implementing, and managing wireless communication systems. Search TechBooky Receive top tech news directly in your inbox. Freshly squeezed. September 2026 | M | T | W | T | F | S | S | | / | 1 | 2 | 3 | 4 | 5 | 6 | | 7 | 8 | 9 | 10 | 11 | 12 | 13 | | 14 | 15 | 16 | 17 | 18 | 19 | 20 | | 21 | 22 | 23 | 24 | 25 | 26 | 27 | | 28 | 29 | 30 | / |
ChatGPT Health adds Epic integration for clinicians to import patient data. OpenAI said that the integration provides read-only access to health records for clinicians. OpenAI said today that it is integrating ChatGPT Health with Epic's electronic health record (EHR) system, which holds data for over 325 million patients, to let clinicians import patient data and use AI to ask questions. The company said that in certain systems, it will also integrate ChatGPT directly within EHR workflows. With ChatGPT, clinicians can now access information like appointment notes, laboratory results, medications, and specialist documentation and summarize them easily. They can also look at patient history, identify changes, and prepare for future appointments. OpenAI said that in some deployments, clinicians can directly access ChatGPT for getting pre-visit review and building clinical timelines without leaving a patient chart. The company specified that the integration allows only read-only access to health records, and AI doesn't write anything back. OpenAI is also adding a new Healthcare Public Data plug-in, which can fetch information from sources including ClinicalTrials.gov, CMS Coverage, RxNorm, DailyMed, and PubMed. The company said that the new plug-in can help healthcare workers synthesize data for trial eligibility criteria, medication identifiers, coverage policy versions, and provider records. The company said that apart from enabling these new features, it is allowing organizations with a Business Associate Agreement to use ChatGPT Work, Codex, apps, and connectors in their workspace for compliant workflows. Last month, OpenAI rolled out ChatGPT for health to all U.S. consumers. The company said at that time that people are asking 300 million health-related queries to ChatGPT every week. Despite many deep integrations with medical systems, the company has maintained that AI is not suitable for diagnosis or treatment. OpenAI said that it collected over 4,300 responses from physicians across 27 clinical use cases, including pre-visit review, clinical timelines, medication review, and handoff summaries, and found that 99.1% of responses were safe. However, even a few unsafe answers can lead to harmful results for humans. A few days before this rollout, a Florida-based pastor sued the company, alleging that ChatGPT gave him a near-fatal recommendation. The company was also sued in May by family members of a user who blamed ChatGPT for giving wrongful advice related to dosage.
How modern digital marketing drives B2B leads for Healthcare AI platforms like CuroAI. Healthcare technology is rapidly evolving as clinics and hospitals turn to AI to reduce administrative workload, staff shortages, and operational bottlenecks. AI voice platforms like CuroAI integrate with EHR systems such as Epic, Cerner, and athenahealth to automate patient intake, scheduling, and routine inquiries. But building great healthtech is only part of the challenge. Reaching healthcare decision-makers requires a focused digital marketing strategy built around compliance, trust, and high-intent search. At Software Pro Digital, Software Pro Digital combine technical SEO, targeted content, regional authority, and conversion optimization to help healthcare technology companies increase visibility and generate qualified B2B leads. The unique marketing challenges of B2B healthtech. Marketing B2B healthcare technology comes with challenges that traditional digital strategies often overlook. To generate qualified leads, companies must address three key areas. First, trust and compliance: Healthcare decision-makers need confidence in security, HIPAA compliance, SOC 2 Type II certification, and data protection before adopting AI solutions. Second, specialized search intent: Buyers search for specific solutions to operational problems, such as reducing call abandonment, shortening wait times, and automating patient scheduling through EHR integrations. Third, complex buying cycles: Enterprise healthcare software involves multiple stakeholders, including IT, compliance, and clinical teams. Effective marketing must provide relevant content that addresses each decision-maker's priorities. Key digital marketing strategies for capturing enterprise leads. To overcome these industry challenges and drive consistent lead generation for platforms like CuroAI, Software Pro Digital deploys a multi-pillar marketing strategy. 1. High-Intent content strategy built around operational pain points. The foundation of any successful B2B SEO campaign is content that aligns with the exact search queries of target buyers. Rather than publishing general, surface-level articles, healthtech companies must focus on high-intent topics that address the daily friction experienced by clinic staff. High-volume medical groups frequently suffer from high call abandonment rates during peak hours, leading to missed appointments and lost revenue. Creating comprehensive, solution-oriented content that addresses these specific operational metrics positions the platform as an essential business solution rather than an optional tech upgrade. Additionally, technology buyers frequently search for software compatibility. Developing dedicated, in-depth landing pages for specific integrations such as automated scheduling systems for Epic or athenahealth allows platforms to capture long-tail, high-converting search traffic from IT teams actively looking for compatible software. 2. Establishing local and regional authority. While B2B software companies sell their products nationwide, medical practices, hospital systems, and regional clinic networks operate within specific geographic markets. Building strong regional search authority establishes immediate trust with local healthcare providers. Establishing a robust digital footprint across regional medical hubs helps software platforms stand out against competitors. By deploying targeted regional content campaigns, securing authoritative directory citations, and highlighting localized case studies, healthtech brands can dominate search results in major metropolitan areas. Organizations and healthcare technology vendors seeking to establish market dominance in dense, highly competitive areas frequently turn to specialized strategies like those detailed in its comprehensive guide to Local SEO Services NYC. 3. Technical SEO and structured data. Search engines and modern AI discovery tools rely on clear technical infrastructure to understand what a business does and whether it can be trusted. For healthcare technology platforms, technical SEO goes far beyond basic site speed and clean code. Implementing advanced schema markup such as structured software, organization, and medical entity data helps search engine crawlers accurately index platform capabilities, security certifications, and technical specifications. When search engines easily recognize that a platform meets strict security standards like HIPAA compliance, the site earns higher trust scores, leading to improved organic rankings for competitive commercial queries. Furthermore, maintaining lightning-fast page speed and seamless mobile optimization ensures that busy healthcare administrators experience zero technical friction when researching solutions on their phones or tablets. 4. Low-Friction conversion optimization. Generating organic search traffic is only half the equation. To build an effective lead generation pipeline, that traffic must convert into scheduled software demonstrations and sales calls. Healthcare executives are exceptionally busy, and complicated multi-step contact forms often cause high drop-off rates. To maximize conversion rates, landing pages must be engineered for simplicity. Prominently displaying security trust badges above the fold immediately resolves compliance concerns. Offering interactive live call demonstrations directly in the browser allows prospective buyers to experience the voice AI's natural language capabilities in seconds. Finally, replacing long contact forms with simple, one-click calendar booking tools ensures that qualified leads can schedule a walk-through without unnecessary delay. Ready to generate more qualified Healthcare AI leads? Partner with Software Pro Digital to build a data-driven digital marketing strategy that attracts high-intent healthcare buyers and turns search visibility into qualified sales opportunities. Conclusion. In the competitive world of healthcare artificial intelligence, having a superior product like CuroAI is essential, but product quality alone will not guarantee market dominance. To capture market share and close enterprise deals, healthtech companies need an integrated digital growth strategy that attracts high-intent buyers, builds institutional trust, and converts website visitors into active sales opportunities. By uniting deep technical SEO, operational content mapping, regional authority building, and frictionless conversion design, Software Pro Digital helps innovative technology brands stand out in search results, establish lasting industry authority, and maintain a predictable pipeline of qualified B2B leads. FAQs. 1. How can digital marketing help healthcare AI platforms generate B2B leads? Digital marketing helps healthcare AI platforms reach decision-makers through high-intent SEO, targeted content, regional authority, and conversion optimization. These strategies attract organizations actively searching for solutions to healthcare operational challenges. 2. Why is SEO important for healthcare AI companies? SEO helps healthcare AI companies appear in search results when potential buyers are researching solutions such as patient scheduling automation, EHR integrations, and AI voice technology. Targeting high-intent keywords can bring more qualified prospects to the website. 3. What type of content works best for B2B healthcare technology marketing? The most effective content addresses specific operational challenges and buyer needs. Examples include EHR integration pages, patient scheduling solutions, AI voice automation guides, security information, and content designed for IT, clinical, and administrative decision-makers. 4. How can healthcare AI websites improve their conversion rates? Healthcare AI websites can improve conversions by using clear calls to action, simple contact forms, trust signals, security information, live product demonstrations, and easy demo or calendar booking options. 5. What makes digital marketing for healthcare technology different? Healthcare technology marketing requires a strong focus on trust, compliance, technical integrations, and long B2B sales cycles. Content and campaigns must address the different concerns of IT teams, clinical leaders, compliance professionals, and business decision-makers. Ready to Grow Turn these ideas into results. Tell Software Pro Digital your goals and a senior strategist will map the plan to reach them.
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Industries
Enterprise Software
Healthcare
Company Size
10,001+
Company Stage
Growth Equity (Non-Venture Capital)
Total Funding
$40M
Headquarters
Verona, Illinois
Founded
1979
Find jobs on Simplify and start your career today