Children’s National and Microsoft unite to reimagine pediatric care with AI
Children’s National Hospital is teaming up with Microsoft to harness the power of generative AI and revolutionize healthcare solutions. Over the course of an intensive two-day prototype session guided by Microsoft experts, Children’s National developers explored innovative use cases in predictive analytics, decision support, workflow automation, patient engagement and personalized medicine. This collaboration aims to enhance the quality and efficiency of care, ultimately improving outcomes for young patients.
What they’re saying
“We are empowering innovation at Children’s National through the synergy of human creativity and GenAI, we are on a journey to redefine what’s possible in pediatric healthcare,” said Alda Mizaku, VP & chief data and artificial intelligence officer at Children’s National.
“We’re proud to be part of Children’s National’s journey toward building a data-driven, innovative infrastructure. Recent strides, such as launching Children’s AI journey and piloting physician-led AI initiatives, underscore their commitment to delivering exceptional care through cutting-edge Microsoft solutions,” said Tyler Bryson, corporate vice president at Microsoft.
What was developed
Children’s National’s developers created the following GenAI Use Cases for the Rapid Prototype:
- Use Case 1: Inpatient Stay Insights
Create personalized summaries of hospital stays using AI. It analyzes clinical records and data to generate narratives for different personas, such as providers, coders, parents, patients and care managers.
- Use Case 2: Next Best Action
Proactive care by generating personalized recommendations for a patient’s continued care, streamlining care coordination, improving outcomes and enhancing communication between healthcare providers, care managers and patients.
- Use Case 3: Beacon – Internal Policies and Procedures
Beacon, a GenAI-powered assistant that chats with our internal knowledge base. It can answer questions and give information from our policies, procedures, manuals and other content.
- Use Case 4: Personalized Medication Consultation
Create a personalized medication consultation, aimed at enhancing the medication alert system through tailored alerts and guidance to providers, while taking into account patient’s clinical data and institutional patterns.
Reflecting on the development of these use cases, Children’s National hospitalist and chief informatics officer Jessica Herstek, M.D., said “We aim to develop scalable and sustainable solutions to everyday challenges in pediatric health care. For this prototype session, we brought together teams from across our organization with clinical, operational, and technical skills to test the possibilities and fallibilities of AI-enabled tools and explore how we can push ourselves and our technology partners to support the needs of our patients and families and the workflows of our doctors and nurses.”
Why is this exciting? What’s next?
Mizaku says this is a pivotal moment in Children’s journey towards revolutionizing pediatric healthcare. As we move forward, we commit to developing generative AI capabilities that are not only scalable and robust but also specifically tailored to meet the unique needs of our young patients. Our focus will be on practical applications that enhance care delivery while also improving efficiencies for our staff and internal teams.
A special thanks to our Microsoft partners: Tyler Bryson, Tyler Flatt, Jordan Lipp, Natalie Pearce, Todd Painter, Paul Fisher and Mahjabin Ahmed.
Children’s National Hospital participants: Catherine Pearcy, Nolen Morton, Brittany Duah, Ann Hoffman, Walter Buckner, Dr. Jessica Herstek, Ranjodh Badh, Geetanjali Vashist, Shivaram Muruga, Dr. Rachel Selekman, Dr. Paul Michel, Dr. Kenneth McKinley, Simmy King, Dr. Mihailo Kaplarevic, Aymen Mehai, Dr. Syed Anwar, Parida Abhijeet, Dr. Xinyang Liu, Andrew Maddox, Amy Quinn, Mike McLaughlin, Samm Sherman, Alda Mizaku, Shannon Cross, Shahzaib Ismail, Aric Campling, Frederick Zilmer, and Johnie Henry.
