Google Minds

Google announced it is licensing its AI model focused on detecting diabetic retinopathy to partners in Thailand and India, two countries the tech giant says have a shortage of eye specialists. Google Research teams partnered with foundational research partners Aravind Eye Hospital in India and Rajavithi Hospital in Thailand nearly a decade ago to research whether AI could be used to help reduce preventable blindness caused by diabetic retinopathy. Today, the company announced it is partnering with healthcare providers and health-tech partners across the countries to distribute the developed AI-enabled diabetic retinopathy model to improve access to eyesight-saving care. Google's newly announced partners include India-based medical equipment manufacturer Forus Health, nonprofit ophthalmic manufacturing company AuroLab and Thailand-based AI-enabled medical imaging technology company Perceptra. "We’ve also been working with the Thai Ministry of Public Health’s Department of Medical Services (DMS), which is responsible for the country’s diabetic retinopathy screening program, on implementation research and cost-effectiveness analysis. This collaboration is bringing our AI into Thailand’s National Innovation program and will pave the way for a partnership between Perceptra and DMS to apply the diabetic retinopathy AI model in public sector hospitals and help deliver impact at population scale," Google wrote in a blog post. The partners will work toward receiving local regulatory approvals to ensure clinical systems in both countries have access to the AI model, The organizations have also set a goal to deliver six million AI-enabled screenings to communities in need at no cost to patients over the next decade. THE LARGER TREND In a study published in the Indian Journal of Ophthalmology, researchers stated that the number of people with diabetic retinopathy globally will increase from 126.6 million in 2010 to 191 million by 2030, with vision-threatening diabetic retinopathy rising from 37.3 million to 56.3 million. In 2022, a study published out of Thailand in The Lancet revealed that deep learning algorithms could diabetic retinopathy in patients with diabetes on par with community specialists. Researchers discovered that the deep-learning system could detect vision-threatening diabetic retinopathy with 94.7% accuracy, 91.4% sensitivity and 95.4% specificity. This was compared to the retina specialist over-readers, who performed with an accuracy of 93.5%, a sensitivity of 84.8% and a specificity of 95.5%. In 2019, Alphabet's life science subsidiary Verily unveiled real-world clinical use for its machine learning algorithm to screen for diabetes-related conditions, including diabetic retinopathy and diabetic macular edema. The tool was first rolled out in India and aimed at helping with the shortage of doctors worldwide.

Study also outlines how gen AI can improve medical systems and help doctors and nurses provide better care SUNNYVALE, Calif., Oct. 17, 2024 /PRNewswire/ -- Google Cloud today announced a comprehensive new research report that reveals the significant amount of time healthcare professionals spend on administrative tasks, and how generative AI (gen AI) could potentially alleviate these burdens and improve patient care. The report, "Measuring the administrative burden on U.S. healthcare workers—and how generative AI can help," highlights how administrative burdens contribute to burnout, staff shortages, and less time spent with patients. However, gen AI – when implemented responsibly with safeguards in place to protect patient data and ensure accuracy – could be a potential game-changer for the healthcare industry. Key findings from the report include: Administrative overload: Clinicians spend nearly 28 hours per week on administrative tasks, while medical office staff and claims staff spend 34 and 36 hours, respectively. This includes maintaining detailed patient records, completing insurance forms and referrals, documenting procedures performed, organizing documentation for claims, and inputting claim information into the system, among other things. Burnout and shortages: The majority of healthcare providers and payors agree that administrative work contributes to burnout and staffing shortages, with 82% of clinicians, 81% of medical staff, and 77% of claims staff reporting feeling burnt out. Reduced patient care: 80% of providers report that administrative tasks take away from time spent with patients, 68% say this time away impacts the quality of care. Increased error risk: Two-thirds of providers and 89% of payors express concern about human error in administrative tasks. Openness to AI: The vast majority of healthcare providers (91%) and payors (97%) feel positive about using gen AI for administrative tasks. In addition, 72% of the general population agree that it is worth using AI tools that would help healthcare practitioners focus more on quality patient care. "Healthcare workers have historically faced significant administrative burdens, and this has intensified in recent years due to increased regulatory requirements, complex billing processes, and associated EHR documentation requirements," said Aashima Gupta, global director of Healthcare Strategy & Solutions, Google Cloud. "But generative AI offers a powerful solution. By automating tasks and streamlining workflows, it supports healthcare experts, ultimately improving medical systems and helping doctors and nurses provide better care." Many Google Cloud customers are turning to gen AI to streamline workflows and reclaim valuable time for patient care. Hackensack Meridian Health began to explore gen AI in 2023 with Google Cloud, and has since developed a tool that helps employees with administrative tasks. "We've seen firsthand how generative AI can significantly boost employee productivity. We built an AI-enabled chat tool, powered by Google's Gemini large language model (LLM), that helps with administrative tasks like summarizing meeting notes, drafting emails, preparing for conversations and summarizing articles and research," said Sameer Sethi, SVP and chief data and analytics officer, Hackensack Meridian Health. "This tool is already freeing up our team members to focus on what matters most: providing exceptional patient care." Search and summarization to ease the burden of administrative work Generative AI is transforming how healthcare professionals access and use patient information. By understanding the intent behind a search, it can intelligently surface the most relevant data from various sources, going beyond simple keyword matching to provide more contextualized results. This technology can also analyze lengthy clinical notes and create concise summaries tailored to specific needs, such as quick reviews or patient education materials. MEDITECH is bringing advanced AI-powered search and summarization capabilities to its Expanse EHR, enabling clinicians to quickly and intuitively access comprehensive patient information from both structured and unstructured data sources. For example, clinicians can use the Expanse EHR's search and summarization to instantly review past provider notes by specific section, such as "HPI" or "Assessment," and to confirm patient conditions like sepsis or surgical site infections within minutes, eliminating the need for lengthy chart reviews. "MEDITECH's successful integration of AI into our Expanse EHR is having a real-world impact, with customers like Mile Bluff Medical Center saving upwards of 7.5 minutes of preparation time per patient," said Helen Waters, executive vice president and COO, MEDITECH. "Our customers are able to leverage generative AI to reduce clinical and administrative burdens and improve patient outcomes by delivering more comprehensive patient care. As we continue to expand the rollout of this technology to new patients and use cases, there is no limit to the groundbreaking impact we can make on patient care." Clinical documentation, helping doctors and nurses provide better care Gen AI can also automate many of the tedious tasks associated with clinical documentation, such as discharge summaries, patient visit summaries, progress notes, discharge instructions, and referral letters, which clinicians can then review and finalize. This can free up clinicians to focus on patient care and other important tasks. HCA Healthcare is improving how nurses share critical patient information by developing a generative AI-powered nurse handoff tool, created in partnership with frontline nurses. "We're committed to empowering nurses by reducing their administrative burden and enabling them to focus on what matters most: patient care," said Michael J. Schlosser, MD, MBA, FAANS, SVP, Care Transformation and Innovation, HCA Healthcare. "Our nurse handoff tool is transforming the way critical patient information is shared. By streamlining this traditionally tedious and manual process, we're not only improving efficiency and communication, but also ensuring that nurses have more time to connect with patients and provide truly personalized care." Earlier this year, Community Health Systems announced how it is planning to bring gen AI to some of its tools to help with administrative tasks. "By embracing generative AI, we can significantly reduce the administrative burden on our healthcare providers, allowing them to focus on what matters most: delivering high-quality patient care," said Miguel S. Benet, MD, executive vice president of Clinical Operations at Community Health Systems. "We're particularly excited about how generative AI can automate time-consuming tasks, such as generating personalized patient letters and streamlining clinical documentation. This not only frees up valuable time for our clinicians but also allows us to improve the patient experience." Intelligent assistants for prior authorization and claims processing Gen AI can significantly streamline healthcare administration, particularly in the areas of prior authorization and claims processing. By acting as an intelligent assistant, it can pre-populate forms, analyze requests for potential issues, and suggest relevant clinical guidelines to strengthen submissions. This leads to faster approvals and improved patient care. Similarly, gen AI can assist with claims processing by verifying eligibility, reviewing medical necessity, and calculating payments, ultimately increasing efficiency and accuracy in healthcare operations. "Imagine: prior authorizations that take seconds instead of days, claims processing streamlined by intelligent automation, and clinicians freed from tedious administrative tasks to focus on what truly matters - patient care," said Tony Farah, MD, EVP, chief medical and clinical transformation officer, Highmark Health. "Clinicians are the healthcare experts, and we want to support them with appropriate and actionable insights delivered by best-in-class technology. By harnessing the power of generative AI and collaborating with partners like Google Cloud, we're removing friction from the system for both clinicians and patients. This is the promise of Living Health, where clinical expertise and technology unite to create a simpler, more proactive and personalized healthcare experience for everyone." Waystar is another company working with Google Cloud to leverage gen AI in its healthcare system payments software platform. The company has identified more than a dozen new gen AI capabilities to maximize reimbursements, prevent denials, and provide a strong patient financial experience. "As healthcare providers face increasingly complex challenges, we are more optimistic than ever about technology's power to reduce administrative burdens," said Matt Hawkins, chief executive officer of Waystar. "Waystar is partnering with Google Cloud to harness the power of generative AI to deliver measurable ROI for providers, solve meaningful problems, unlock valuable insights, and ensure faster, more accurate payments." Streamlining workflows for radiologists AI can also assist in analyzing medical images like X-rays and CT scans to detect abnormalities, helping radiologists make faster and more accurate diagnoses. This can lead to earlier detection of diseases and better treatment outcomes. For example, Bayer announced that it is developing an AI Innovation Platform to support the developer teams of healthcare organizations when building AI-enabled apps aiming to assist radiologists by streamlining image analysis and automating tasks. This platform aims to improve diagnostic efficiency, reduce burnout, and ultimately enhance patient care. "Radiology plays a vital role in healthcare, and the need to efficiently and accurately uncover insights and deliver solutions at scale that can improve patient outcomes has never been greater," said Nelson Ambrogio, president Radiology at Bayer. "Our goal is to make it easier for organizations to use AI with medical imaging to transform the growing amounts of data into valuable and impactful insights, saving radiologists time and helping them optimize their important work for the benefit of patients." Survey methodology This survey was conducted online within the United States by The Harris Poll on behalf of Google from Aug. 26 – Sept. 9, 2024, among 821 healthcare providers, 209 payors, and 2,079 consumers aged 18 and older in the U.S. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the data for the healthcare sample is accurate to within + /- 3.4 percentage points, the data for the payor sample is accurate to within +/- 6.7 percentage points, and the data for the consumer sample is accurate within +/- 2.7 percentage points using a 95% confidence level. For complete survey methodology, including subgroup sample sizes, please contact [email protected]. *Note on how the average hours spent on administrative tasks for the healthcare and payor sample was calculated: Respondents were first shown a list of administrative tasks and asked to select the tasks that they perform on a weekly basis (C-Suite and administrators were asked to select the tasks that are performed by clinicians/medical office staff/claims workers at their facility). Next, respondents were asked to enter the number of hours spent on each individual task. Respondents that did not select a task on the initial question (indicating that it is not a weekly task for them) were assigned a value of zero hours for that task. The total number of weekly hours spent on administrative tasks was capped at 60. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. SOURCE Google Cloud WANT YOUR COMPANY'S NEWS FEATURED ON PRNEWSWIRE.COM? 440k+ Newsrooms & Influencers 9k+ Digital Media Outlets 270k+ Journalists Opted In GET STARTED

Google Cloud's solutions help healthcare organizations improve medical systems and provide better care SUNNYVALE, Calif., Oct. 17, 2024 /PRNewswire/ -- Google Cloud today announced Vertex AI Search for Healthcare and several new features for Healthcare Data Engine are now generally available to global allowlist customers. Vertex AI Search for Healthcare helps developers build better assistive technology for healthcare workers to alleviate administrative burdens, and Healthcare Data Engine helps organizations build an interoperable data platform, the foundation of generative AI (gen AI). When used together, these products can accelerate digital transformation in healthcare, improving systems and enhancing patient care. A new report from Google Cloud and The Harris Poll today showed that healthcare professionals are drowning in administrative work, with clinicians spending nearly 28 hours per week and medical office staff spending 34 hours per week on tasks like documentation, scheduling, billing and coding, and inventory management. Claims staff face a similar burden, dedicating 36 hours per week to administrative duties. This overload leads to burnout, with 82% of clinicians, 81% of medical staff, and 77% of claims staff reporting feeling burnt out. Ultimately, this reduces valuable time spent with patients, impacting the quality of care, as 80% of providers acknowledge that administrative tasks take away from patient interaction. "The administrative burden on healthcare workers is immense, taking precious time away from what matters most: patient care," said Lisa O'Malley, senior director, Cloud AI Applications, Google Cloud. "With the general availability of Vertex AI Search for Healthcare and new features in Healthcare Data Engine, we're providing powerful tools for our customers to build a strong data foundation and harness the power of generative AI to create more efficient and effective healthcare systems." Healthcare-specific data platform goes global Also announced today, Healthcare Data Engine (HDE) is now available in countries around the world, including all of the regions where Google Cloud's Healthcare API is available. HDE enables an interoperable, longitudinal record of patient data, and provides clinical insights in FHIR format, the healthcare industry standard. Because AI is only as good as the data it is using, this is a critical tool that companies globally can now use. Additional HDE updates include: Simplified, pay-as-you-go pricing model to better align with the value customers get from the platform. New managed service version of the product, making it easier to deploy, upgrade, and manage. New data mapping tool, called Data Mapper, that brings a graphical mapping interface into the product. "We're committed to leveraging data to drive innovation and improve patient care," said Sameer Sethi, SVP and chief data and analytics officer, Hackensack Meridian Health. "Google Cloud's Healthcare Data Engine provides the robust and scalable foundation we need to unlock the full potential of our data and it's accelerating our journey towards more efficient, personalized, and proactive healthcare." "Embracing Google's Vertex AI advances CHS further along our digital journey, enabling us to integrate cutting-edge technologies and gain valuable data insights that ultimately enhance the delivery of safety and healthcare to our patients," said Patrice Bordron, SVP and Chief Digital Information Officer for Community Health Systems. Healthcare search gets smarter, and saves time Vertex AI Search for Healthcare can improve how healthcare professionals and other employees find critical information within health records and medical documents. Medical information is traditionally hard to search, given complex vocabulary and abbreviations. With this tool, those nuances are understood in one intelligent search. And, thanks to integration with Gemini 1.5 Flash and MedLM – Google's medical large language model – Vertex AI Search for Healthcare can generate answers to questions about the patient record, making the information easier to find and digest. In addition, Vertex AI Search uses the organization's data to search, grounding gen AI outputs in this data to reduce the risks of hallucinations or inaccurate responses. It can cite and link to original, internal sources of the information, giving the user confidence in where information is coming from. "MEDITECH is committed to empowering clinicians with cutting-edge tools that streamline their workflows and enhance patient care," said Helen Waters, Executive Vice President and COO, MEDITECH. "By integrating Google Cloud's Vertex AI Search for Healthcare into our Expanse EHR, we're providing clinicians with an intuitive and efficient way to access the precise information they need, when they need it. This translates to reduced administrative burden, improved decision-making, and ultimately, better outcomes for patients." For more information on these technology advancements for healthcare and life sciences, stop by the Google booth #3013 at HLTH, and please contact your Google Cloud sales team to learn more. Google Cloud's LLM medically-tuned and multimodal capabilities Google Cloud's AI models offer advantages to healthcare organizations. MedLM offers a family of large language models (LLMs) specifically trained on medical data, and Gemini offers a vast context window that can analyze extensive patient records and research data. An organization can select the LLM that works best for the solution its building, to provide clinicians with comprehensive insights for informed decision-making and assist in tasks like answering complex medical questions, summarizing research findings, and streamlining administrative processes, such as claims processing and appointment scheduling. "One of the best things about Google is how we share what we learn across the company, and our Google Cloud customers benefit from this," said O'Malley. "The latest example of this is how we have applied what we've learned with MedLM to Gemini to work well when used to build healthcare solutions. This is particularly powerful when combined with Gemini's multimodal capabilities, which allow it to process and analyze information from diverse sources like medical images, clinical notes, and genomic data, alongside text. Imagine Gemini analyzing a patient's X-ray, EKG reading, and blood test results in conjunction with their medical history to provide a doctor with a more comprehensive and accurate view. Or, picture it helping researchers identify potential drug candidates by sifting through millions of research papers and clinical trial reports, ultimately accelerating the development of life-saving treatments. These are just a few examples of Gemini's multimodal capabilities that will improve healthcare." Google Cloud's customers retain control over their data. In healthcare settings, access and use of patient data is protected through the implementation of Google Cloud's reliable infrastructure and secure data storage that support HIPAA compliance, along with each customer's security, privacy controls, and processes. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Survey methodology This survey was conducted online within the United States by The Harris Poll on behalf of Google from Aug. 26 – Sept. 9, 2024, among 821 healthcare providers and 209 payors in the U.S. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the data for the healthcare sample is accurate to within + /- 3.4 percentage points and the data for the payor sample is accurate to within +/- 6.7 percentage points using a 95% confidence level. For complete survey methodology, including subgroup sample sizes, please contact [email protected]. SOURCE Google Cloud WANT YOUR COMPANY'S NEWS FEATURED ON PRNEWSWIRE.COM? 440k+ Newsrooms & Influencers 9k+ Digital Media Outlets 270k+ Journalists Opted In GET STARTED