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OpenAI Integrates Chatgpt Health With Epic, Bringing AI Deeper Into Clinical Workflows

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OpenAI is expanding ChatGPT into healthcare by integrating ChatGPT Health with Epic’s electronic health record system, giving clinicians access to patient information and AI-assisted analysis across medical records covering more than 325 million patients.

The integration will allow clinicians to import information from Epic and use ChatGPT to analyze and summarize appointment notes, laboratory results, medications, specialist documentation, and other elements of a patient’s medical history.

In some healthcare systems, OpenAI said ChatGPT will be embedded directly into existing electronic health record workflows, allowing clinicians to conduct pre-visit reviews and build clinical timelines without leaving a patient chart.

The company said the integration is strictly read-only. ChatGPT can retrieve and analyze information from the medical record, but the AI does not write information back into the patient’s chart.

The move marks a significant expansion of OpenAI’s healthcare strategy. Rather than limiting ChatGPT to a consumer-facing tool for answering health questions, the company is positioning its models as an interface for accessing and synthesizing information already held within clinical systems.

For physicians, one potential benefit is reducing the time required to review fragmented patient histories before appointments. A clinician could use the system to summarize previous consultations, track changes in laboratory results or medications, and assemble information from different specialists into a single timeline.

OpenAI is also introducing a Healthcare Public Data plugin that can retrieve information from medical and government databases, including ClinicalTrials.gov, the Centers for Medicare & Medicaid Services’ coverage information, RxNorm, DailyMed and PubMed.

The company said the plugin can help healthcare professionals synthesize information involving clinical-trial eligibility, medication identifiers, coverage policies and provider records.

OpenAI is further allowing organizations that have a Business Associate Agreement with the company to use ChatGPT Work, Codex, apps and connectors for healthcare-related workflows designed to meet applicable compliance requirements.

The expansion comes as OpenAI reports rapidly increasing use of ChatGPT for health-related questions. The company said users are now submitting about 300 million health queries each week, up from 230 million when it began testing its dedicated health hub in January.

The consumer health service is available to U.S.-based users aged 18 and older across ChatGPT plans. Users can connect information from services including Apple Health, Function and MyFitnessPal, as well as medical records from systems and providers such as Epic, Oracle Health, One Medical and Function Health.

OpenAI said testing showed that about 70% of health-related conversations occurred outside the dedicated health hub. The company is therefore expanding access to connected health information across general ChatGPT conversations, allowing users, for example, to ask questions about food while drawing on information about their allergies or other connected health data.

Safety Remains A Major Concern

The expansion also puts greater scrutiny on the reliability of AI in medical settings.

OpenAI said it collected more than 4,300 physician assessments across 27 clinical use cases, including pre-visit reviews, clinical timelines, medication reviews and patient handoff summaries. It said 99.1% of the responses were judged safe.

That figure nevertheless leaves room for potentially consequential errors. In healthcare, a small number of unsafe recommendations can have serious consequences, particularly when users interpret an AI response as medical advice.

OpenAI has maintained that ChatGPT is not intended to replace clinicians or independently diagnose or treat patients. The company’s growing integration with medical records, however, brings its technology closer to decisions and workflows where errors can carry substantially greater risks than in ordinary consumer applications.

The timing also places the rollout under heightened scrutiny. OpenAI is facing lawsuits over alleged harmful health advice, including a case filed by a Florida pastor who claims ChatGPT gave him a recommendation that nearly proved fatal. In another lawsuit filed in May, family members of a user alleged that ChatGPT provided incorrect advice involving medication dosage.

The Epic integration therefore represents both a technological and commercial test for OpenAI. Access to large-scale clinical data could make ChatGPT substantially more useful to healthcare professionals, while the read-only architecture gives hospitals a degree of separation between AI-generated analysis and the underlying medical record.

Overall, OpenAI is seeking to move ChatGPT from a standalone conversational application into an AI layer that can sit on top of the systems professionals already use. Healthcare, where clinicians routinely spend significant time navigating large volumes of fragmented information, could become one of the most consequential applications of that approach.

At the same time, the closer ChatGPT gets to clinical workflows, the higher the standard for accuracy, privacy, security, and human oversight will become.

U.S. Firm to Take Over Chinese, Russian-Linked Venezuelan Oilfields Under Trump-Backed Deal

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U.S. oil company North American Blue Energy Partners (NABEP) is set to take control of several Venezuelan oilfields previously operated by Chinese companies and a Russian firm under a sweeping production agreement announced by President Donald Trump, according to two U.S. officials familiar with the arrangement cited by Reuters.

The deal gives Washington and U.S.-backed companies a significantly larger role in Venezuela’s oil industry, potentially displacing Chinese and Russian interests that have built a substantial presence in the country’s energy sector over the past decade.

NABEP has received 14 newly granted contracts from the Venezuelan authorities, the officials said. The projects form part of a broader portfolio that will give the company control of 17 oil projects in Venezuela, which it plans to develop and ultimately use to supply crude to the United States.

The arrangement is also structured to give the U.S. government an unusual degree of influence over the company and its production.

NABEP said it will retain operating control, while the U.S. government will hold rights to a 35% stake in the company and receive preferential access to 20% of its production at cost. The White House said the State Department will also have the right of first refusal to purchase the remaining 80% of NABEP’s output.

Washington will have veto power over NABEP’s board and director appointments, while a majority of the board must be American citizens, according to the White House.

“This transaction will unleash that potential to the great benefit of both Venezuelans and Americans,” Venezuelan businessman Alejandro Betancourt, who now controls NABEP, said in a statement confirming the arrangement.

The agreement marks a major shift in the ownership and destination of Venezuelan crude. Five of the 14 newly awarded fields were previously operated by Chinese companies under a model promoted by then-President Nicolas Maduro, while another was previously operated by a Russian company, the U.S. officials said.

Two of the fields were operated by China Concord Resources, which was sanctioned by the United States in 2019 over Iran-related activities. Other projects were previously operated by Sinopec and China National Petroleum Corp.

Two additional projects were operated by affiliates of Alex Saab, a former close associate of Maduro who is currently in U.S. custody, while another oilfield was linked to a nephew of Maduro’s wife, Cilia Flores, according to the officials.

The changes underscore the geopolitical dimension of Trump’s Venezuela oil strategy. Rather than simply increasing U.S. access to Venezuelan crude, the arrangement is seen as reducing the role of Chinese and Russian companies in one of the world’s largest oil-producing countries while redirecting more Venezuelan production toward U.S. refiners.

“Not only are we opening up new opportunities for the U.S. government to benefit and for U.S. operators to benefit, we are opening up the United States as the market for this oil which was previously being sent to China,” one U.S. official said.

Trump said last week that the United States had secured access to about 64 billion barrels of Venezuela’s proven oil reserves through a partnership with private businesses. The scale of the arrangement places Venezuela’s enormous but underdeveloped petroleum resources at the center of the administration’s effort to reshape the country’s economy and strengthen U.S. influence over its energy exports.

Trump said Monday that the United States was taking out “millions and millions of barrels of oil” that are currently being shipped to U.S. refineries, including facilities in Texas and Louisiana. He is scheduled to meet oil and gas retailers and refiners on Tuesday.

The potential increase in Venezuelan crude supplies could also have implications for U.S. refiners. Venezuela produces heavy crude that is suited to some Gulf Coast refineries, meaning a larger and more predictable flow of Venezuelan barrels could strengthen feedstock supplies for plants configured to process heavier grades.

The arrangement, however, depends on more than access to reserves. Venezuela’s oil industry has suffered years of underinvestment, declining production capacity, deteriorating infrastructure and operational disruptions. Bringing the newly transferred fields back to higher output levels will require significant capital, equipment and technical expertise.

The political transition in Caracas could prove equally important.

U.S. officials said talks are under way between Venezuela’s interim authorities and representatives of the 2015 National Assembly, with the aim of restoring a measure of constitutional order and resolving legal questions surrounding the country’s political transition.

The Trump administration regards the 2015 assembly as the last Venezuelan legislative body elected and operating under the country’s constitution, although it does not currently hold formal governing authority.

One U.S. official said an agreement with the assembly could provide a constitutional and legal foundation for the wider transition, including economic decisions required to revive Venezuela’s oil industry.

That makes the oil arrangement both an energy and geopolitical project. However, the immediate objective for Washington is greater access to Venezuelan crude and a larger U.S. role in its production and marketing. Energy analysts believe the longer-term test hinges on the new structure’s ability to attract the investment needed to restore Venezuela’s oil output while establishing a politically and legally durable framework for control of the country’s petroleum assets.

OpenAI’s “Last Resort” Becomes a Massive Revenue Stream

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For years, advertising seemed almost incompatible with the vision Sam Altman had for OpenAI. The company built its identity around developing artificial intelligence that could answer questions, generate ideas and help people work without turning every interaction into an opportunity to sell something.

Altman once described ads as a “last resort,” suggesting that OpenAI would rather pursue other business models than transform its AI products into another advertising platform. But technology markets have a way of turning last resorts into lucrative opportunities.

Today, advertising has emerged as an increasingly important part of the commercial conversation surrounding OpenAI. What was once treated as an undesirable fallback is becoming a potentially massive revenue engine, reflecting the extraordinary economics of operating frontier AI systems.

The shift is understandable. Building and running advanced AI models requires enormous amounts of computing power. Every question asked, image generated or task completed consumes infrastructure, energy and expensive accelerator capacity.

Subscription revenue can offset those costs, but the scale of consumer AI creates a powerful incentive to find additional sources of income.

Advertising offers one obvious answer. Traditional internet companies built enormous businesses by connecting users with advertisers.

Search engines, social networks and online platforms transformed attention into revenue by placing commercial messages in front of highly engaged audiences. AI assistants could take that model a step further because they understand the context of a user’s request.

That capability is also what makes AI advertising fundamentally different—and potentially controversial. A conventional search engine might display sponsored links alongside results. An AI assistant, however, can understand a user’s intentions, preferences and conversational context.

If advertising becomes deeply integrated into those interactions, the distinction between an objective answer and a commercial recommendation could become difficult for users to recognize. That creates a delicate balancing act for OpenAI.

The company must monetize its enormous user base without undermining the trust that made conversational AI valuable in the first place. People use AI assistants precisely because they expect useful answers rather than sales pitches.

If users begin to suspect that recommendations are influenced by advertisers, the credibility of the entire system could suffer. Yet the financial incentives are enormous. Even a modest advertising business attached to hundreds of millions of users could generate significant revenue.

Unlike subscriptions, advertising does not require every user to pay directly. A free tier can therefore remain widely accessible while advertisers effectively subsidize some of the cost of providing AI services.

That could prove particularly important as OpenAI competes aggressively across the AI industry. Companies are spending billions of dollars on chips, data centers, talent and model development.

The race is no longer simply about creating the smartest model; it is increasingly about building sustainable economics around that intelligence. OpenAI’s evolution toward advertising therefore represents something larger than a change in monetization strategy.

It illustrates how quickly the economics of artificial intelligence are evolving. The “last resort” language is especially revealing. What once appeared to be a line OpenAI hoped it would never cross may instead become one of the company’s most powerful commercial opportunities.

The challenge will be ensuring that revenue does not come at the expense of trust. AI may eventually become one of the world’s most important interfaces for information, commerce and decision-making. If advertising becomes embedded within that interface.

OpenAI will have to prove that commercial incentives can coexist with reliable answers. The future of AI advertising may therefore depend on one simple principle: users must always know when the machine is helping them—and when someone is paying it to persuade them.

Risky Websites to Secure Sessions: How Browser Isolation Software Works

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Web browsing is a routine source of malware, phishing attempts, credential theft, and unsafe downloads. A harmful page can affect an endpoint before security staff identify unusual activity. Browser isolation moves website processing away from the local device and into a controlled remote environment. Users still view and interact with the page in their familiar browser. This arrangement helps protect employees, contractors, and confidential systems while allowing necessary online work to continue.

Why Risky Websites Need Separation

Risky websites may contain malicious scripts, deceptive login forms, infected files, or hidden redirects. Traditional endpoint tools often inspect activity after content reaches a device. browser isolation software changes that sequence by running web sessions elsewhere. The local machine receives an interactive view rather than direct exposure to page code. This separation limits opportunities for harmful instructions to reach operating systems, stored credentials, or internal applications.

Remote Rendering

A remote browser opens each requested site inside a protected container. That environment processes scripts, images, cookies, and other page activity away from the user’s endpoint. The local browser receives visual output and approved interactions. Therefore, malicious code has fewer pathways into the device. This arrangement creates an air gap between internet content and corporate hardware, reducing the chance of direct execution.

Session Controls

Each session follows rules established by administrators. Policies can govern clipboard use, printing, file transfers, watermarking, approved domains, and blocked addresses. Time limits or location-based conditions may add another layer of oversight. Such controls help restrict data movement without preventing access to necessary applications. Activity records give security teams useful evidence during investigations, audits, and routine policy reviews.

Cloud and Private Deployment

Organizations may choose cloud-hosted or private deployment based on infrastructure, regulatory duties, and application location. A cloud model places browser environments within managed provider infrastructure. A private model runs browser containers on company premises while the control plane remains centrally managed. This option can support internal tools, private applications, and Software-as-a-Service platforms. Either arrangement allows administrators to apply common rules across users and sessions.

Protection Against Common Threats

Malicious pages run inside remote browser containers rather than directly on local hardware. That placement can contain harmful scripts, drive-by downloads, attempts to exploit, and deceptive forms. If a person enters credentials into a fraudulent page, monitoring and policy controls may help identify the event. Isolation does not replace awareness training, endpoint security, or identity protection. It adds another barrier between web content and business systems.

 

Web sessions create several possible routes for information loss. Users can copy text, print pages, download documents, or capture sensitive material. Administrators may restrict those actions according to application, user group, location, or risk level. Watermarks can associate viewed documents with a person or session. These measures support information protection while preventing data breaches,

Practical Business Uses

Browser isolation can serve several clearly defined needs. Regulated organizations may apply strict controls around confidential records and external browsing. Contractors can gain access to selected applications without broad network access. Remote employees may use personal equipment while corporate resources remain separated. Protection for Software-as-a-Service applications also matters, as companies rely on external platforms for finance, collaboration, customer service, and daily operations.

Administration and Visibility

A central web console provides administrators with a single place to publish applications, invite users, and establish security policies. Real-time dashboards display current activity, while retained records assist investigations and compliance checks. A practical rollout usually follows four stages: account registration, policy configuration, application publishing, and user invitation. Careful testing should follow each stage, particularly for file handling, identity checks, and access from different device types.

Limits and Planning Considerations

Isolation cannot correct weak passwords, excessive permissions, poor identity checks, or unsafe decisions. Security teams should define trusted domains, blocked addresses, session rules, record retention policies, and incident response procedures before deployment. Performance requires testing across locations, devices, and application types. Policies should remain practical. Excessive restrictions may interrupt legitimate work, encourage workarounds, and reduce confidence in security controls.

Conclusion

Browser isolation moves risky website activity into a controlled remote environment, keeping harmful content away from local endpoints and internal networks. Its protection comes from several connected measures, including air-gap separation, policy enforcement, identity checks, session monitoring, and restricted data exchange. Cloud and private deployment models support different infrastructure needs. For organizations managing remote access, external applications, contractors, or confidential information, isolated browsing offers a useful layer within a broader security program.