New Generative AI extension simplifies how teams explore, analyze, and visualize enterprise data

Under the terms of the agreement, Siemens Healthineers will serve as the primary provider of advanced technology for a wide range of clinical departments. This includes the provision of hardware and software for magnetic resonance imaging (MRI), computed tomography (CT), molecular imaging, and interventional radiology. Additionally, the partnership incorporates Varian radiation oncology systems for Vanderbilt University Hospital, Monroe Carell Jr. Children’s Hospital at Vanderbilt, and other affiliated sites. This commitment to healthcare technology modernization is intended to strengthen Vanderbilt Health’s patient-centered approach to personalized care delivery and improve health outcomes for diverse communities.

Enhancing Clinical Innovation and AI Integration

The collaboration extends beyond traditional equipment replacement, as both organizations will explore new opportunities in data infrastructure and AI-enabled technologies. Specifically, the partnership will investigate scalable artificial intelligence uses in radiology, personalized medicine, and workflow automation. These efforts are designed to support clinical teams by reducing administrative burdens and developing care models that can be applied more broadly across the health system. Jane Freedman, MD, Deputy Chief Executive Officer for Vanderbilt Health, observed: “Our mission is to continually provide patients first access to the very latest advancements. Joining with Siemens Healthineers will help our health system remain on the cutting edge regarding imaging technology implementation while also offering access to their other innovations.”

The Value Partnership model is designed to reduce operational complexity while creating measurable clinical value. By integrating advanced imaging and radiation oncology technology with operational expertise, the framework helps healthcare providers anticipate future needs while improving current care delivery. John Kowal, President and Head of the Americas at Siemens Healthineers, noted that the commitment to patient-centered care and research leadership makes Vanderbilt Health an ideal partner for this framework of innovation. The agreement also includes related workforce development programs, ensuring that hospital staff are adequately trained to leverage the full potential of the newly implemented digital and clinical technologies.

Strategic Advancements in Public Healthcare

Held at the Silk Road General Hospital in the Ethiopian capital, the launch brought together senior Ethiopian government officials, members of the Chinese diplomatic community, alongside African and Chinese medical professionals. Addressing the attendees, Ethiopian President Taye Atske Selassie underscored the necessity of integrating modern technology and a proficient health workforce into public health services. He stated that adopting advanced medical techniques enables efficient service delivery to Ethiopian communities and across the African continent.

The president commended Chinese trainers and doctors for their commitment to skill and knowledge transfer, stating they are “important in upgrading our health services, appointing ourselves with new technology, and to be pioneers in many ways.”

Cultivating Specialized Medical Expertise

These collaborative initiatives aim to foster long-term cooperation between Chinese and African institutions by developing a localized workforce of African specialists. This structural enhancement will be achieved through systematic mentoring, simulator-based training, and practical clinical instruction focusing on advanced endoscopic technology and robotic surgical techniques.

Chinese Ambassador to Ethiopia Chen Hai characterized the initiative as a concrete step in executing the Health Partnership Action under the Forum on China-Africa Cooperation.

“At a time when practical cooperation between China and Africa continues to deepen and deliver tangible results across many sectors, I am especially pleased to see more of China’s high-quality medical expertise and resources reaching Africa, and Ethiopia in particular,” he said.

Promoting Sustainable Healthcare Equity

Ethiopian Health Minister Mekdes Daba praised the mutually beneficial outcomes of the collaborative frameworks in the health sector. Emphasizing the need for medical excellence, she noted that the joint initiatives “will become a model of success that we will try to translate to other services.”

According to Liu Longfei, vice president of Xiangya Hospital of Central South University, minimally invasive surgery plays a crucial role in advancing healthcare equity by providing precise treatment, reducing trauma, accelerating recovery times, and enhancing safety for surgical patients. He noted that institutions under the China-Africa Hospital Alliance are establishing long-term collaborative mechanisms to facilitate knowledge sharing and talent exchange. Promoting healthcare equity remains a central objective as these institutions expand access to minimally invasive surgery across the region.

During the inaugural session, approximately 40 trainees from Sudan, Tanzania, Uganda, Ghana, Libya, and Ethiopia participated in the primary training program centered on endoscopic technology, which was conducted by Chinese experts. This specialized instruction also introduced foundational principles for mastering robotic surgical techniques, reinforcing the overall goals of the medical partnership.

Integrating Advanced AI into Medical Practice

The strategic partnership was officially signed with Nate Gross, OpenAI’s Head of Health. As part of this collaboration, a delegation from Sheba Medical Center is scheduled to visit OpenAI’s headquarters in August to conduct a series of meetings with senior executives.

Through this agreement, medical professionals at the hospital will utilize OpenAI’s latest healthcare AI models, including ChatGPT Health, which originally launched in January and was previously limited to a select number of American medical facilities. These systems are specifically built for clinicians, designed with encryption that meets strict healthcare security standards to assist in clinical decision-making based on the latest medical research.

Collaborative Product Development

Under the terms of the collaboration, dedicated teams at the medical center will actively participate in product development and attend dedicated OpenAI healthcare events. Clinicians will gain insight into new technology during the development phase and build internal applications optimized for the platform. Furthermore, the hospital will integrate its specific clinical protocols, treatment pathways, and institutional guidelines into the system, ensuring that the artificial intelligence outputs align with approved standards.

During daily operations, clinicians and researchers will submit patient case descriptions to the system. The platform will then generate responses containing relevant medical literature, supporting studies, journal references, and publication dates. This referenced data is designed to directly assist clinical decision-making, allowing physicians to independently verify the underlying evidence for any provided recommendation.

Accelerating Digital Innovation Through ARC

Beyond clinical uses, the integration is expected to support administrative and operational workflows, reducing documentation burdens and improving hospital efficiency. This initiative expands upon the growing portfolio of artificial intelligence technologies managed by the hospital’s ARC innovation center. Prior successful integrations through ARC innovation include solutions like Aidoc, which analyzes medical imaging to accelerate critical diagnoses, and SmartER, a platform that automatically documents and summarizes emergency department patient encounters.

The ARC innovation center was established in 2019 by Sheba Director General Prof. Yitshak Kreiss and Chief Transformation and Innovation Officer Dr. Eyal Zimlichman to accelerate digital healthcare advancement. The center facilitates the testing of new technologies within the hospital setting, cultivates strategic relationships globally, and operates a joint investment platform alongside TriVentures.

“The healthcare system is one of the fields where artificial intelligence can have the greatest impact,” OpenAI said in a statement. “We are excited to collaborate with Sheba to make advanced AI capabilities available to doctors, researchers, and healthcare professionals.”

The current dialogue is anchored in the findings of the BRICS Health Track Technical Working Group 4 (TWG-4), which identifies the lack of interoperable data systems as a primary constraint to seamless health service delivery. By establishing common standards for information exchange, member nations aim to overcome challenges such as large and diverse populations, rural-urban disparities, and stretched health workforces. The transition toward integrated and people-centric healthcare delivery makes the adoption of a robust digital health infrastructure an essential tool for ensuring that clinical information follows the patient throughout their medical history, rather than remaining trapped in institutional silos.

Scalable Infrastructure and Responsible AI Governance

India has provided a scalable blueprint for this digital transformation, having already created more than 940 million Ayushman Bharat Health Account (ABHA) IDs. This foundation for digital identity has enabled the registration of more than one million healthcare professionals and over 500,000 health facilities into a unified network. Furthermore, the system currently facilitates secure access to more than one billion digital health records. These metrics demonstrate the practical feasibility of managing high-volume data to support continuity of care across complex national health landscapes.

The integration of advanced analytics is being guided by India’s Strategic Framework for AI in Healthcare, which establishes the parameters for responsible AI adoption. This framework focuses on strengthening healthcare delivery while ensuring ethics, transparency, safety, and citizen trust. By aligning these AI governance protocols with interoperable data standards, BRICS countries are working to ensure that new technologies can effectively address the rising burden of chronic and non-communicable diseases. The collective focus remains on fostering mutual learning and shared innovation to achieve universal health coverage through a connected and data-driven medical ecosystem.

According to the company, the AI healthcare framework is designed to convert fragmented healthcare data into structured, actionable intelligence. This transition is intended to facilitate faster decision-making processes, enhance governance, and reduce the timelines associated with development in the life sciences sector. The system is built upon the FleziPT AI ecosystem and follows the CASAN AI adoption framework to ensure a structured implementation for global organizations.

Core Components of the MediSight Framework

The architecture of MediSight is divided into three primary segments. The Healthcare Insight Platform (HIP) serves as a cloud-native foundation that supports essential interoperability standards such as HL7 v2, FHIR, CDA, and DICOM. This component is critical for the standardization of clinical terminology and the de-identification of sensitive healthcare data.

Furthermore, the MediSight Crew utilizes autonomous AI agents to manage administrative and clinical workflows, while the MediSight Verse provides applications for clinical trials, medical imaging, and patient engagement. For those operating within life sciences, the emphasis on interoperability is a significant factor as AI adoption continues to grow across research and manufacturing operations.

Security and Global Regulatory Standards

The framework has been developed to meet stringent security requirements, including HIPAA, HITRUST r2, and ISO 27001. This ensures that digital transformation initiatives do not compromise data integrity. The platform is compatible with major cloud environments, allowing for seamless integration with existing infrastructure.

Executive Perspective on AI Integration

Chu Canh Chieu, Vice President and Head of Healthcare and Life Sciences at FPT Software, stated that the next phase of innovation requires systems that actively reason through information rather than just storing it. He noted that MediSight is intended to help organizations reduce manual effort and scale digital solutions more efficiently. By combining autonomous agents with clinical applications, the firm aims to help life sciences enterprises eliminate friction and improve outcomes while maintaining regulatory compliance.

This launch leverages nearly twenty years of experience in serving the medical and pharmaceutical sectors. FPT, which is headquartered in Vietnam and employs over 54,000 people across 30 countries, continues to prioritize the AI healthcare framework as a strategic growth area. The company’s focus remains on transforming how healthcare data is utilized to improve the speed and safety of medical software delivery.

The platform is engineered to facilitate real-time collaboration among various clinical specialists, including physicians, physicists, and dosimetrists. By allowing multiple authorized users to join the same MIM session simultaneously, the technology enables teams to perform routine clinical processing, review registrations, and manage dosage workflows together in a virtual environment. This capability is particularly vital in cancer care, where complex decision-making processes often require immediate input from across different departments. GE HealthCare notes that the solution supports the entire oncology workflow, ranging from initial consultations and referrals to medical education. By integrating the convenience of shared document technology into a clinical setting, the remote access platform aims to streamline the path from diagnosis to treatment.

Redefining Clinical Engagement through Virtual Environments

The development of MIM Anyware reflects a broader strategy to modernize how clinicians engage with medical imaging data. By hosting analysis tools directly within a web browser, the platform allows for seamless workflow deployment regardless of a clinician’s physical location. J. Anders, GM of MIM at GE HealthCare, emphasized that research consistently highlights the importance of multidisciplinary collaboration in delivering patient-centered care. “That’s why we designed MIM Anyware to redefine how clinicians engage with medical imaging data in virtual environments. By enabling seamless access to imaging data and MIM’s powerful analysis tools directly through a web browser, we’re helping clinicians stay focused on what matters most: patient care,” Anders stated.

From a clinical perspective, the ability to share data securely with external collaborators is seen as a major operational advantage. Jérémy Godart, a medical physicist at Erasmus MC, noted that care teams are facing increasingly complex patient needs that require input beyond a single organization. “Remote access platforms like MIM Anyware can help healthcare systems securely share imaging data with external collaborators, making it easier to seek expert input and support multidisciplinary consultation beyond a single organization. This can also create educational opportunities for medical students to explore, discuss and learn from real clinical cases,” Godart explained. This emphasis on accessibility and education suggests that the impact of the platform may extend into the academic and research sectors of healthcare.

Strategic Expansion of the MIM Software Portfolio

The introduction of MIM Anyware marks the latest addition to GE HealthCare’s expanding suite of digital solutions following its 2024 acquisition of the AI-based software developer. Since the acquisition, the company has aggressively scaled its MIM offerings to target specific clinical specialties. In 2024, GE HealthCare introduced a specialized MIM solution for prostate care, which was followed by the unveiling of the MIM Encore platform last year. More recently, the company received FDA 510(k) clearance for its MIM Contour ProtégéAI+ 2.0 software, signaling a continued commitment to integrating artificial intelligence into the oncology workflow.

This consistent rollout of new applications demonstrates a long-term investment in software-driven clinical excellence. By centralizing these diverse tools under a single, remotely accessible ecosystem, GE HealthCare is positioning itself to address the logistical challenges of modern hospital systems. The goal is to maximize the utility of imaging data while reducing the technical barriers that often slow down clinical decision-making. As imaging volumes continue to rise globally, the shift toward browser-based, collaborative platforms will likely become a standard requirement for health systems aiming to improve operational efficiency and patient outcomes in complex care environments.

The PULSE initiative arrives at a critical juncture for public health teams that are increasingly tasked with expanding their operational capacity despite constrained resources. Elizabeth Kelly, head of beneficial deployments at Anthropic, emphasized that the program is designed to provide the necessary guardrails and privacy protections required for sensitive health data. “PULSE matters because it lets practitioners test these tools in their own environments, with privacy, governance, and responsible use built in from the start,” Kelly stated. Applications for the program are currently open through August 6, with participants being selected by CHAI’s leadership council. The selected 10 jurisdictions will each be permitted to register up to 200 team members to participate in specialized use case communities during the six-month program.

Strategic Use Cases and Operational Guardrails

The first cohort of the PULSE program is scheduled to begin pilots this fall, focusing on five specific use cases that represent critical pain points in public health management. These include biosurveillance, specifically for drug wave prediction, and the mapping of Social Determinants of Health (SDoH) to better understand regional health disparities. Additionally, the program will address operations and efficiency through the analysis of community feedback and public communications via a multilingual translation hub. A fifth use case focuses on automated clinical data retrieval using an FHIR Query Engine, which aims to improve the interoperability and speed of data access across disparate health systems.

The structure of the initiative is designed to build trust and practical experience among agencies that may have previously lacked the technical infrastructure to support generative AI solutions. Brian Anderson, M.D., CEO of CHAI, noted that the COVID-19 pandemic highlighted the consequences of long-term underinvestment in public health technology. “PULSE is designed to help public health agencies build trust, practical experience, and a path to responsible implementation of this powerful technology,” Anderson explained. By providing a vehicle for agencies to share their findings and best practices, the program aims to accelerate responsible innovation that strengthens the national health response.

Building a Foundation for Responsible Healthcare AI

The launch of PULSE is part of a broader, systemic effort by CHAI to establish baseline controls and practical guidance for the healthcare sector. In late May, the organization released a series of in-depth playbooks aimed at providing health systems with standardized protocols for safe AI implementation. This followed a September partnership with the Joint Commission on the Responsible Use of AI in Healthcare (RUAIH) guidance document, which outlined the principles of organizational management for AI in health systems. The Joint Commission has since built upon this partnership by launching an AI certification program in June, which is available to any healthcare organization regardless of their existing accreditation status.

By aligning these various initiatives—from practical use case testing in the PULSE program to formal certification and standardized playbooks—CHAI is attempting to create a comprehensive ecosystem for healthcare technology governance. The goal is to move beyond experimental use and toward a state of mature, scalable, and responsible AI adoption. As public health agencies begin their pilots this fall, the data and lessons learned from the 10 participating jurisdictions will likely inform the next generation of healthcare technology policies and implementation strategies across the United States.

Under the terms of the agreement, more than 1,300 pieces of medical technology will be integrated into Catholic Health’s hospitals and ambulatory centers. This modernization effort is targeted at several high-volume service lines, including cardiology, oncology, neurology, and women’s health. Approximately 50% of the planned equipment additions are scheduled to arrive within the first three years of the alliance. This phased rollout includes the installation of advanced MR, CT, and PET technologies equipped with on-device AI solutions, as well as hundreds of ultrasound systems. A unique element of the partnership involves an embedded cardiovascular scientist who will work directly with Catholic Health clinicians to ensure that technology innovation remains closely aligned with frontline patient care needs.

Financial and Operational Modernization

The Care Alliance partnership is structured to provide Catholic Health with significant capital savings compared to traditional equipment purchasing models. By utilizing unitary payments and accelerators, the system intends to reinvest saved resources into further technology modernization and the growth of clinical programs. Beyond simple hardware acquisition, the 10-year agreement includes a comprehensive multivendor service component. This ensures that GE HealthCare manages the maintenance, lifecycle, and fleet management for equipment across all 40+ sites, maximizing uptime and asset utilization. This transition from a traditional transactional model to a service-based alliance is designed to reduce the total cost of ownership while ensuring equipment reliability across the enterprise.

AI Integration and Digital Workflow Optimization

Artificial intelligence and cloud computing form the digital backbone of the new alliance, with a specific focus on easing the cognitive load on clinicians and reducing manual administrative tasks. One of the central digital solutions being implemented is Imaging 360, a cloud-based radiology operations platform. This system unifies radiology workflows and centralizes performance insights, allowing Catholic Health to manage imaging operations across multiple sites with greater consistency. The integration of AI-powered tools is also expected to streamline patient scheduling and monitoring, potentially decreasing the time from diagnostic imaging to the commencement of treatment.

For patients on Long Island, the partnership aims to expand access to specialized services closer to home. Upgraded capabilities in OB/GYN, maternal-infant care, and oncology diagnostics are expected to arrive at flagship locations such as St. Francis Hospital & Heart Center and Good Samaritan University Hospital within the first year. Gary Havican, Interim President and CEO of Catholic Health, noted that the partnership allows physicians to have a “meaningful voice in shaping the future of care,” ensuring that technological innovation is guided by real-world clinical insights. As the alliance progresses, Catholic Health will continue to scale these capabilities across Mercy Hospital, St. Joseph Hospital, St. Catherine of Siena Hospital, and its extensive network of ambulatory sites.

A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.

“Healthcare organisations are under pressure to modernise while continuing to deliver safe, reliable care everyday” said Don Woodlock, President of InterSystems. “The strength of our approach has always been combining proven global scale, deep interoperability, and enterprise-ready AI capabilities that help clinicians and organisations modernise at their own pace while continuing to provide world-class care for their patients.”

InterSystems continues to be at the forefront of interoperability in regional and national health information exchanges and regulatory approvals through their EHR’s recent European Union Class IIa Medical Device Regulation (MDR) certification. With deployments in 29 countries outside the United States, InterSystems brings a globally proven approach to delivering interoperable, adaptable healthcare technology.

InterSystems continues to invest significantly in advancing its EHR capabilities, supported by flexible deployment options, including on-premises, hybrid, vendor-managed, and public cloud models, continuous enhancements delivered through a bimonthly release cycle, and predictable subscription and SaaS pricing models that include advanced AI capabilities. This progress is reflected across both platforms:

InterSystems IntelliCare™ is a next-generation EHR designed with AI at its core. The platform is tailor-made to help healthcare organisations improve productivity, streamline clinical workflows, and reduce administrative burden through embedded artificial intelligence and automation.

InterSystems TrakCare® is a proven, comprehensive healthcare information system used globally by over 600 hospitals. TrakCare supports integrated care delivery across hospitals, community settings, and national health systems, providing a unified patient record and interoperable platform for coordinated care.

Gartner, Magic Quadrant for Enterprise Electronic Health Records, Veronica Walk, Jonathan Rivera, 6 July 2026.

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