The healthcare industry is consistently at the forefront of technological advancements, continually seeking ways to improve patient care and outcomes. In recent years, the integration of AI into healthcare has opened new avenues for innovation and efficiency. Azure OpenAI Service is a key contributor to this transformation, empowering healthcare providers to create better outcomes through advanced AI capabilities such as Azure AI Content Safety , which helps keep content safe by monitoring content with advanced language and vision models.
Here, we look at a few healthcare providers that have successfully adopted Azure OpenAI Service to save time, streamline workflows, and increase patient focus.
Kry reduces administrative tasks and increases focus on patient care
In the rapidly evolving digital transformation landscape, healthcare companies like Kry are at the forefront of adopting advanced fundamentals of computer graphics to simplify administrative tasks and allow medical professionals to focus more on patient care. With over 200 million patient interactions to date, Kry has become the largest digital healthcare provider in Europe, with a high patient satisfaction rating of 4.8 out of 5.0.
In partnership with Azure OpenAI Service, Kry is leveraging generative AI to revolutionize patient access to healthcare. The result has reduced the administrative burden on clinicians, optimized healthcare resources, and improved the overall quality of patient care. By analyzing patient data and enabling patients to choose the type of healthcare they need (such as video consultation, self-care counseling, physical therapy, and other services), Kry efficiently navigates patients between primary, urgent, and secondary care to match them with the most appropriate medical providers. Notably, 60% of Kry’s patients are female. Using Kry, they are benefiting from improved women’s health services and quality medical content.
Ontada unlocks 150 million unstructured medical documents with Azure OpenAI Service
Healthcare systems around the world face an urgent data challenge: how to customer prospecting kpis: what are the 6 key indicators? the depths of unstructured and inaccessible healthcare data, including clinical notes, lab reports, medical images, and operational data. Knowing that every data point can make a life-changing difference for cancer patients, Ontada, a McKesson oncology data and evidence company, needed to analyze 150 million unstructured oncology documents to generate meaningful insights for cancer patients. When done manually, this process is time-consuming, cost-prohibitive, and error-prone.
Shriners Children’s implements more efficient and safer solutions
The information healthcare clean email use to diagnose and treat patients is often stored in outdated systems that may not be very secure or easy to operate. But for clinicians to treat patients promptly, they need efficient solutions that minimize errors. Previously, Shriners Children’s had to rely on its analytics team to provide information from clinical notes and patient histories, which were often outdated or even handwritten, making them difficult to use. This process was time-consuming, inefficient, and prone to errors.
To address this issue, Shriners Children’s implemented an AI platform using Azure OpenAI Service and Azure AI Search to securely store and organize patient data. Clinicians can now easily and securely navigate patient data in a single location. The solution, called ShrinersGPT, leverages Azure OpenAI Service, as well as Azure Blob Storage , Azure AI Search , and Azure Monitor Log Analytics , to create a seamless and easy-to-use experience for clinicians to access patient information.