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Tampa General Hospital Deploys Artificial Intelligence Tools to Elevate Patient Experience

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2 years ago

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Ambient listening eliminates hours of documentation so providers can focus on patients and their care.

TAMPA, Fla., June 11, 2024 /PRNewswire/ — Documentation is essential to delivering high-quality care but can result in a heavy burden on physicians and serve as a distraction from their patient interactions. Tampa General Hospital (TGH) is turning to artificial intelligence (AI) solutions to reduce the bureaucracy and elevate the patient experience.

Through a partnership with Nuance finalized this month, more than 500 physicians affiliated with Tampa General will begin utilizing DAX Copilot to increase productivity. The ambient listening tool is used to securely capture a patient story, including details of symptoms, observations and experiences. With the help of AI, it automatically converts multi-party conversations into specialty-specific, clinical summaries in seconds.

“Simply put, documentation is necessary, but it’s a growing burden on all involved. At Tampa General Hospital, we’re not willing to settle for the status quo. We’re focused on pursuing innovative solutions to transform the way we deliver care,” said John Couris, president and CEO of Tampa General Hospital. “With the help of AI, we’re easing the burden of documentation on providers and in turn giving them the ability and the additional time to focus on our top priority — our patients. It’s initiatives like these that set Tampa General apart from the rest and contribute to the world-class care we deliver.”

The technology was made available for full integration into the Epic electronic health record (EHR) system earlier this year, making Tampa General one of the early adopters of this AI tool that has proven to support physicians while elevating patient care.

The tool is not a voice-to-text transcription. Instead, it is an AI-powered solution that identifies voices, captures patient history, detects key observations, summarizes takeaways and works seamlessly with existing platforms already utilized at Tampa General. The technology — like all technology implemented at Tampa General — adheres to the highest standards of security and privacy and is in accordance with federal HIPAA requirements.

The benefits of this technology are not just felt by physicians, but also by the patients they see. The use of technology to reduce documentation requirements enables providers to spend more time with their patients with a greater focus on their needs.

“As the documentation burden on providers grows, they have less and less time to spend with their patients and they are often tethered to their keyboards in exam rooms,” said Nishit Patel MD, VP Chief Medical Informatics Officer, Tampa General. “With the power of emerging technologies, like AI and ambient listening, we can finally free our physicians and providers from this administrative burden and allow them to focus on what they do best at Tampa General: deliver world-class, patient-centered care.”

A series of data points, surveys and studies reveal that U.S. physicians spend an average of 4.5 hours per day or as much as two-thirds of their time on paperwork or electronic documentation. The requirement for documentation leaves less time for them to spend directly with patients and contributes greatly to burnout. What’s more, time spent on documentation decreases collaboration and communication between providers and clinical staff.

DAX Copilot is reported to reduce documentation time by half. Nearly three-quarters of physicians who utilize the technology experience a reduction in feelings of burnout and fatigue. A vast majority of patients (85%) say their physician is more personable and conversational.

ABOUT TAMPA GENERAL HOSPITAL
Tampa General Hospital, a 981-bed, not-for-profit, academic health system, is one of the largest hospitals in America and delivers world-class care as the region’s only center for Level l trauma and comprehensive burn care. Tampa General Hospital is the highest-ranked hospital in the market in U.S. News & World Report’s 2023-24 Best Hospitals, with six specialties ranking among the top 50 best hospital programs in the United States. Tampa General Hospital has been designated as a model of excellence by the 2022 Fortune/Merative 100 Top Hospitals list. The academic health system’s commitment to growing and developing its team members is recognized by two prestigious Forbes magazine rankings – in the top 100 nationally in the 2023 America’s Best Employers for Women and top 25 in Florida in the 2023 America’s Best Employers by State. Tampa General is the safety net hospital for the region, caring for everyone regardless of their ability to pay, and in fiscal year 2022, provided a net community benefit of approximately $240.3 million in the form of health care for underinsured patients, community education, and financial support to community health organizations in Tampa Bay. It is one of the nation’s busiest adult solid organ transplant centers and is the primary teaching hospital for the USF Health Morsani College of Medicine. With six medical helicopters, Tampa General Hospital transports critically injured or ill patients from 23 surrounding counties to receive the advanced care they need. Tampa General houses a nationally accredited comprehensive stroke center, and its 32-bed Neuroscience, Intensive Care Unit is the largest on the West Coast of Florida. It also is home to the Muma Children’s Hospital at TGH, the Jennifer Leigh Muma 82-bed neonatal intensive care unit, and a nationally accredited rehabilitation center. Tampa General Hospital’s footprint includes TGH North which is comprised of three hospitals and several outpatient locations in Citrus and Hernando counties, 17 Tampa General Medical Group Primary Care offices, TGH Family Care Center Kennedy, TGH Outpatient Center, TGH Virtual Health, and 21 TGH Imaging outpatient radiology centers throughout Hillsborough, Pasco, Pinellas and Palm Beach counties. Tampa Bay area residents also receive world-class care from the TGH Urgent Care powered by Fast Track network of clinics. To see a medical care professional live anytime, anywhere on a smartphone, tablet or computer, visit Virtual Health | Tampa General Hospital (tgh.org).  As one of the largest hospitals in the country, Tampa General Hospital is the first in Florida to partner with GE Healthcare and open a clinical command center that provides real-time situational awareness to improve and better coordinate patient care at a lower cost. For more information, go to www.tgh.org.

Media Contact: 
Amanda Bevis
(202) 680-9262 cell
Amanda@redhillsstrategies.com 

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SOURCE Tampa General Hospital

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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34 minutes ago

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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34 minutes ago

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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34 minutes ago

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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