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Business Insider
6 days ago
- Health
- Business Insider
Cedars-Sinai's AI tool delivered 24/7 care to 42,000 patients. Now, doctors can focus on treatment, not paperwork.
Cedars-Sinai launched CS Connect, an AI-powered platform for 24/7 healthcare support. The platform aims to reduce wait times and administrative tasks, improving care delivery. This article is part of " CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. Cedars-Sinai is a nonprofit healthcare organization based in Los Angeles. It's comprised of hospitals, clinics, and research facilities. Founded in 1902, Cedars-Sinai has more than 40 locations, employs over 4,500 physicians and nurses, and serves more than 1 million patients every year. Situation analysis Caroline Goldzweig, chief medical officer of Cedars-Sinai Medical Network, told Business Insider that the organization wanted to expand patients' access to primary care in a more efficient and convenient way. For instance, sometimes there are lengthy wait times for in-person doctor's appointments. At the same time, Goldzweig said the organization was looking to reduce the administrative burden on physicians, including patient intake and data entry, so that they could focus on providing care. To address these challenges, the organization launched Cedars-Sinai Connect in 2023. CS Connect is an artificial intelligence -powered virtual platform where patients can access healthcare support 24/7. Goldzweig said the AI technology allows healthcare providers to better support their patients while improving the speed of care delivery. "The other exciting thing is the ability to offer patients care in ways that meet their needs," she said. Key staff and partners Goldzweig told Business Insider that CS Connect was built using K Health, a digital healthcare company providing AI-powered primary and urgent care services. Cedars-Sinai's information technology teams worked with K Health to sync patients' electronic health records into the platform, she said. Cedars-Sinai's enterprise data intelligence and digital strategy teams were also involved in creating CS Connect. They continue to help manage it. AI in action The goal of the AI tool is to enable providers to spend more time counseling patients and making treatment decisions, rather than doing patient intake. To access the AI features, patients log into CS Connect via a mobile app or its website. Goldzweig said a chat feature then starts asking the user questions about their symptoms. The AI algorithm compares the patient's responses to their existing medical records and the records of other patients in the system who had similar symptoms. It then asks more detailed questions about a patient's specific health problems. The chatbot, for example, may prompt the patient to submit photos of their sore throat or rash. Goldzweig said the chat function is similar to how a physician might identify a patient's ailment. The AI then summarizes the patient's information — a task that usually demands manual effort from physicians — and recommends a treatment. The data collected by CS Connect is "part of the efficiency process," Goldzweig said. "It allows the physicians to review it, to understand what's going on, and to validate things with the patient — ask a couple of clarifying questions and maybe get a little bit more history." Physicians can choose to disagree with the AI's recommendations. Goldzweig said either way, they're required to sign off on each patient's treatment plan. Did it work, and how did leaders know? Goldzweig told BI that about 42,000 individual patients have used CS Connect. In April 2025, Cedars-Sinai published a study in the journal Annals of Internal Medicine comparing AI treatment recommendations in CS Connect with final recommendations from doctors. The study reviewed 461 physician-managed visits with AI recommendations for respiratory, urinary, vaginal, eye, and dental symptoms. Results showed that when AI and physician recommendations differed, the AI suggestions were often rated as higher quality. The study found that 77% of AI recommendations were rated as optimal, while 67% of physicians' decisions were rated optimal. For example, patients with recurring urinary tract infections sometimes encounter antibiotic resistance. Goldzweig said the AI was successful at identifying these patients and recommended a bacterial culture before prescribing antibiotics. In contrast, doctors sometimes prescribe medication without testing, which she said could result in the infection coming back. Goldzweig added that the study suggests that the AI tool tends to be more guideline-focused, while physicians have the ability to adapt medical guidelines based on the nuance of a patient's case. Goldzweig said the study has limitations, though. It examined only a few medical conditions and didn't factor in the nuance of individual patient cases. Another limitation is that the medical chart reviewers could see whether the recommendation was made by the AI or a physician. Cedars-Sinai is working to expand CS Connect. The organization is piloting remote patient monitoring technology using AI to help people manage chronic diseases, like high blood pressure. It's also planning to use the AI technology to connect in-person urgent care visits with virtual care.
Yahoo
16-07-2025
- Business
- Yahoo
As AI surges, Schneider Electric is teaming up with Nvidia to help data centers manage their energy use. Here's how.
Schneider Electric partnered with Nvidia to tackle AI-driven energy challenges. The tech company's new data-reference center design aims to cut cooling energy usage by about 20%. This article is part of "CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. Schneider Electric is a global technology company specializing in energy management for software and services, including data centers and industrial automation. Founded in 1836, the company is headquartered in Paris and operates in more than 100 countries. Some of its customers include Microsoft, Google, and Amazon. Situation analysis The use of artificial intelligence continues to expand worldwide. Pankaj Sharma, the executive vice president of data centers and networks at Schneider Electric, said as a result, more data centers will be built, the demand for energy will increase, and the environmental impact will grow. The International Energy Agency estimates that by 2026, the AI industry will use about 10 times the electricity it consumed in 2023. Along with expanding energy, data centers also face the challenge of incorporating cooling systems that enhance energy efficiency and performance. In December 2024, Schneider Electric announced a partnership with Nvidia to develop tools to help data center operators address their energy and sustainability challenges related to increased AI use. This includes plans for developing AI-focused energy and cooling strategies and AI infrastructure, and consulting support to help data centers reach their sustainability goals. The partnership includes what Sharma calls "data center reference architectures," frameworks outlining the energy requirements and cooling systems needed to support data processing, business networks, data storage, and other technology. It also includes digital plans and real-time insights to help build new, energy-efficient data centers. Sharma said the goal is to help companies improve their digital infrastructure by establishing more sustainable, AI-ready data centers. Key staff and partners Sharma told Business Insider that Schneider Electric collaborated with Nvidia on the project. He said Schneider's technology teams and data center engineers and architects worked closely with Nvidia's technical teams on the latest partnership to develop and test solutions. The executive leadership and business development teams were also involved. AI in action Schneider Electric co-developed a new data-reference center design with Nvidia. This is a plan for building new data centers that support high-density AI clusters of up to 132 kilowatts per data-center server rack. A cluster is a network of servers that power AI, and a server rack is a structure that houses and organizes IT equipment. Sharma said the reference plan works with Nvidia's superchips, which are designed for large-scale AI and high-performance processing. The project is also built to support liquid cooling, a process of using water or a liquid coolant to absorb and remove heat from large-scale computers and processing units. Sharma said the new reference designs build on Schneider Electric's existing products, which help remove heat from data centers. He said the latest designs developed with Nvidia help Schneider Electric's customers organize the development and building of data centers that meet a company's energy and cooling challenges. Sharma added that the plans can be customized for individual companies' requirements for their AI workloads in a more energy-efficient, sustainable way for the future. He said that data centers are already being built using the design created with Nvidia. "The intent of the design is not to build a real-life, end-to-end replica of the design, but instead, to use various aspects of it to inform customers' initiatives, providing inspiration and guidance as needed," Sharma said. Did it work, and how did leaders know? Using virtual modeling and testing, Sharma said that the reference designs developed with Nvidia could help data centers reduce cooling energy usage by about 20%. The plan can also help shorten the time it takes to design and build new data center projects by about 30%, which also saves companies money and enhances sustainability, he added. "It's not just speed, it's cost and sustainability," Sharma said. "All of these pieces put together are an advantage for all our customers." Schneider Electric plans to continue working with Nvidia to develop more reference designs over the next few years, Sharma said. The company is also working to create data center designs and infrastructure that can accommodate even higher levels of energy use, as well as the cooling technology necessary to prevent overheating and manage energy consumption. Read the original article on Business Insider
Yahoo
05-06-2025
- Business
- Yahoo
A healthcare giant is using AI to sift through millions of transactions. It's saved employees 15,000 hours a month.
Omega Healthcare partnered with UiPath to automate medical billing and other administrative tasks. The revenue cycle management company has saved employees hours with its AI document-processing tool. This article is part of "CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. For "CXO AI Playbook," Business Insider takes a look at mini case studies about AI adoption across industries, company sizes, and technology DNA. We've asked each of the featured companies to tell us about the problems they're trying to solve with AI, who's making these decisions internally, and their vision for using AI in the future. Omega Healthcare Management Services is a revenue cycle management company that helps more than 350 healthcare organizations, including providers, payers, and pharmaceutical companies, manage their financial operations. This includes medical billing, insurance eligibility verification, collections, clinical documentation, and other administrative tasks. The company, which was founded in 2003, is headquartered in Boca Raton, Florida. It also has teams in India, Colombia, and the Philippines. Omega Healthcare has more than 30,000 employees who perform a high volume of administrative tasks, including medical billing and insurance claim submissions, for healthcare organizations. Every year, they process about 250 million digital transactions. These tasks have traditionally been done manually. Rajusiva Arunachalam, the company's vice president of technology, said that the administrative tasks are mundane, repetitive, and time-consuming. "We have a lot of humans working in the background for these doctors and providers who help them do their non-clinical work," he said. Arunachalam said Omega Healthcare wanted to automate billing, insurance claims, and other administrative tasks to free up employees to handle decision-making aspects, such as when to deny claims or follow up on a late payment. The goal was to improve its operations and help its clients increase collections, minimize incorrect claim submissions and denial rates, reduce receivable payment times, and enhance patient engagement. Omega Healthcare partnered with UiPath, an enterprise automation and AI software company, about five years ago to automate some of the workers' manual administrative tasks, including billing, medical coding, and correspondence with insurance companies. Arunachalam said UiPath's platform was a good fit for Omega Healthcare's strategy, which focuses on boosting automation and speeding up the completion of clients' administrative tasks. Arunachalam said Omega Healthcare created an internal team made up of developers, business analysts, and data scientists. The group focused on finding opportunities to automate repetitive tasks to save employees' time while speeding up work for clients. Omega Healthare uses UiPath Document Understanding, an AI tool that automatically pulls data from various client documents, such as accounts receivable correspondence, insurance denial letters, or electronic medical records. Arunachalam said the AI tool extracts data from these documents based on what a healthcare institution is trying to accomplish. For example, if the task is to file an insurance claim, the AI tool may pull out relevant data from electronic medical records. Or, if a claim was denied, it may identify relevant data from a denial letter or transcript of a call about the case. Arunachalam said human staff members review the data extracted by AI and use it to make decisions. For instance, they may decide that a claim was denied incorrectly due to a medical coding problem or based on information from a medical record. Staff can also use the tool to follow up with a healthcare company for more information on a billing error. Employees then send their decision to the client. "Human work is now more knowledge-based, very decision-oriented," which AI technology can't do, Arunachalam said. But humans and AI "work together in conjunction to achieve what the client needs." AI "can run 24 hours," Arunachalam said. It can also process data much faster, so fewer employees are needed for this work, which is more cost-effective for clients. Arunachalam added that Omega Healthcare has automated its administrative tasks, such as submitting insurance claims and medical billing, for about 60% to 70% of its clients. Since 2020, Omega Healthcare has processed more than 100 million transactions using UiPath automations, Arunachalam said. Omega Healthcare tracked the time it took employees to manually complete different administrative tasks and compared it to the time they spent on them after adding UiPath's tool to measure the tech's impact. Arunachalam said the company found that automation was saving employees more than 15,000 hours a month. Arunachalam said Omega Healthcare has also reduced the amount of time workers spend on documentation tasks by 40%. He added that automation has also slashed document processing turnaround time by 50% with a process accuracy of 99.5%. The company told BI that these improvements have increased efficiency and cost savings for Omega Healthcare's clients, delivering a 30% return on investment since using the AI-powered automation. Arunachalam said Omega Healthcare is working on automating more of its client work, including payment posting and patient appointment scheduling. 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Yahoo
04-06-2025
- Business
- Yahoo
Inside KPMG's $100 million AI investment: How Google Cloud's partnership is fueling the firm's new AI services
KPMG is expanding its Google Cloud partnership to enhance AI services for clients. The Big Four accounting firm could drive $1 billion growth from its AI initiatives. This article is part of "CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. KPMG is a professional services company and one of the Big Four accounting firms in the US. It offers audit, tax, and advisory services to organizations in multiple sectors, including healthcare, finance, banking, and more. KPMG has more than 90 offices and 36,000 employees in the US. It also operates in more than 140 countries. Steve Chase, vice chair of artificial intelligence and digital innovation at KPMG, said part of the company's business involves helping organizations across industries modernize their operations with technology, including their accounting systems and customer service. Recently, Chase said more clients have sought assistance in incorporating artificial intelligence and cloud services into their digital transformation strategies. To help, KPMG announced an expansion of its partnership with Google Cloud in November to advance GenAI, data analytics, and cybersecurity for its clients. The expansion includes a $100 million investment in KPMG's Google Cloud practice. Chase said the goal is to tailor AI services to specific customers, business models, and industries so that these organizations can use AI to improve their businesses, such as by speeding up data analysis. The expanded Google Cloud partnership will initially focus on clients in the retail, healthcare, and financial services industries. Chase said KPMG has been using AI for several years and has had a long-standing relationship with Google. In 2024, KPMG created the Google Cloud Center of Excellence to combine Google's AI technologies with its own expertise to help clients use AI to boost their businesses. Its latest partnership expansion involves creating new AI tools. KPMG also works with Microsoft, Amazon Web Services, and other tech companies on other AI-related projects. KPMG has been using Google Cloud's Vertex AI Search, an AI development platform for building and using GenAI, internally to connect and analyze its vast amount of data. Chase said the company is using this information to develop GenAI agents for clients, such as chatbots to answer questions or tools to gather and analyze data, to address various business challenges and expand capabilities. For example, Chase said KPMG is using Vertex AI and Gemini, a Google Cloud AI-powered assistant, to help financial services companies automate tasks that have been cumbersome for humans, including fraud detection and loan applications. Chase added that KPMG also built an AI "store performance analyzer" for a large retailer. The tool allows the company to use automation to speed up and combine information from store locations, such as inventory levels, sales data, and details about the location, to determine how it performs compared to other stores. "It's able to actually do a detailed analysis in a fast way," which used to be completed by a team of people and take longer, Chase said. "Now, the people involved are actually reviewing the results, as opposed to doing all the manual work of pulling all the data together." For healthcare clients, KPMG is using Google Cloud's Healthcare API to develop AI tools that help doctors improve disease detection, treatment, and overall patient care. Chase said that KPMG's partnership with Google Cloud could drive $1 billion incremental growth for the firm. "We've been super pleased with how it's going," he said. While he said the company couldn't disclose specifics on how it'll reach this figure, he said it will be a multi-year initiative that involves adding new clients and expanding the AI services it offers to existing companies. KPMG continues to roll out new AI initiatives. In April, the company announced another expansion of its collaboration with Google Cloud on AI tools for the legal and banking industries. KPMG also announced that it's joining the Google Cloud Security Partner Program to enhance cybersecurity for its clients. Read the original article on Business Insider Sign in to access your portfolio
Yahoo
07-05-2025
- Business
- Yahoo
Qualtrics' president of product has a vision for agentic AI in the workplace: 'We're going to operate in a multiagent world'
Brad Anderson is the president of product, user experience, and engineering at Qualtrics. Courtesy of Qualtrics Qualtrics, which collects data on consumers, employees, and brands, is leaning into agentic AI. Its product president said the tech helps companies act on feedback faster and make better decisions. This article is part of "CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. Brad Anderson, the president of product, user experience, and engineering at Qualtrics, an $11 billion company that helps businesses collect and analyze data, believes organizations are at a turning point in how they apply AI. "AI is no longer just in the back office," he told Business Insider. "It's front and center in every customer and employee conversation, and it's being brought to organizations in ways they can tangibly see and benefit from." At the heart of this shift is agentic AI, he said. While generative artificial intelligence helps companies interpret data to better understand customer behaviors and trends, agentic AI goes a step further by "unlocking action at scale," Anderson said. This allows businesses to respond to those insights quickly and effectively. Last year, for example, Qualtrics, which made its name in customer surveys, introduced conversational feedback, using AI to analyze responses and generate real-time follow-up questions. Today, the company works with over 20,000 customers across industries — including tech, retail, and airlines — and is using agentic AI to help them turn feedback into actionable insights and respond more effectively. Some organizations are leading the way, while others are more cautious. "Some are carefully evaluating how it benefits their customers and employees," Anderson said, "while others see it as transformative not just for their business but for the world — and they're eager to get after it." BI spoke with Anderson about how companies could use agentic AI. The following has been edited for clarity and length. You say that agentic AI drives "action at scale." Can you give an example? Imagine an airline passenger's flight is canceled and they're unsure about the refund process. When they respond to a survey, they might say, "I searched online but still don't know if I'll get my money back or just a credit." With agentic AI, we personalize responses in the airline's tone and act based on the customer and their situation. Instead of a generic reply, the system confirms refund eligibility, gives a timeline, and tailors responses based on loyalty status and lifetime value. A highly profitable, loyal customer gets a different experience than someone who booked through a discount site. This turns a routine survey into a real-time service, resolving issues instantly.
