Published on February 1, 2024, 12:14 pm
Healthcare systems globally are facing immense pressure due to staffing shortages, low retention rates, and clinician burnout. To alleviate these challenges, healthcare professionals are turning to generative AI for assistance. Generative AI is a subset of artificial intelligence that utilizes large volumes of data to create new content, such as text and images.
According to research conducted by Avanade, a global professional services company focused on Microsoft, 90% of healthcare professionals believe that the impact of AI on people-focused processes and roles will increase efficiency. This adoption of AI in healthcare is on the rise, with more than 50% of healthcare organizations planning to run pilots utilizing ChatGPT-based AI this year alone according to Accenture.
The use cases for generative AI in the healthcare sector revolve around freeing up time for clinicians so that they can allocate more quality time to patients. Some examples include capturing clinical encounters and summarizing interactions like medical histories and health recommendations, providing personalized educational materials and follow-up care recommendations for patients, and reducing wait times by identifying patients most in need of care and targeting them with personalized coaching.
For healthcare CIOs looking to implement generative AI solutions, prioritization and measurement are key factors. They need to focus on prioritizing use cases that will have the greatest impact while ensuring there is a robust measuring framework in place to assess trial deployment results. The era of AI-powered business requires careful planning to avoid unintended consequences. CIOs must find ways to navigate through uncharted territory and demonstrate value.
It’s important for CIOs to view experimentation with generative AI as a learning experience. By selecting initial use cases thoughtfully and considering governance aspects along with potential impacts on staff and patients, CIOs can forecast the likely impact of an AI application. Additionally, measuring the outcomes of early implementations allows CIOs and their teams to learn what works best for their organization while focusing on patient needs and provider requirements.
CIOs do not have to undertake this process alone. Partnerships with companies like Avanade can bring extensive capabilities and expertise to help healthcare organizations prioritize, customize, and optimize their AI trials. Avanade, for example, assists in identifying relevant use cases relating to Microsoft Copilot, a tool that integrates generative AI with Microsoft 365 to help professionals work faster and smarter. Collaborating with a technology partner like Avanade enables CIOs to speed up their AI programs’ deployment and increase the chances of success.
Generative AI has the potential to revolutionize healthcare by freeing up staff from time-consuming tasks and enhancing the services provided to patients. CIOs will play a crucial role in driving this development by ensuring the rapid and effective delivery of applications that yield significant impacts in the shortest amount of time possible.
Avanade is proud to sponsor HIMSS24 and will be exploring different approaches to choosing initial use cases and modeling the costs and benefits that Generative AI can deliver. To learn more about Microsoft Copilot for healthcare, click here [insert link]. Together, through collaboration and innovation, we can harness the power of AI for remarkable advancements in healthcare.