SingHealth, the largest public healthcare cluster in Singapore, is OutcomesAI’s first partner to synergise efforts to transform healthcare processes for enhanced efficiency through AI-based solutions.
OutcomesAI, a healthcare technology startup, announced the official launch of the industry’s first multi-modal Artificial Medical Intelligence (AMI), Glia®, to address healthcare’s capacity problem. The company also announced the launch of its OutcomesAI Collaboratory – a partnership program that aims to bring leading healthcare organisations globally to test, validate, and deploy Glia® in specialty care workflows. Singapore’s largest public healthcare cluster, SingHealth, is OutcomeAI’s first partner.
Healthcare is facing a growing workforce crisis with clinical capacity shortages and nurse burnout have become the main obstacle to effective healthcare delivery. By 2030, the world may face a shortage of 13 million nurses, with the U.S. alone requiring 300 thousand more by 2025. To address this crisis, OutcomesAI is building Glia®, an ensemble of Large Language Models (LLMs) and Large Multi-Modal Models (LMMs) optimized for healthcare applications. The initial focus is assisting care teams on administrative tasks and offering patient care insights across various clinical workflows.
“OutcomesAI was established with a mission to build safe and reliable Artificial Medical Intelligence to supercharge healthcare teams. The clinical performance and safety of Glia® are our highest priority. To-date, our models have passed over 25 nursing certifications, and the number is still growing. We look forward to working with healthcare organisations globally to bring trustable AI to the care teams – so they can focus on direct patient care”, said Kuldeep Singh Rajput, Founder & CEO of OutcomesAI.
The company has built a suite of AI companions that can be tailored to specific clinical roles and specialties, deeply integrated into complex workflow designs. These AI companions assist care teams with a variety of tasks including triaging, charting, clinical decision, scribing, care coordination, and coding. As the first step towards clinical deployment, OutcomesAI will work with its Collaboratory partners to integrate and validate these AI companions in specialty care workflows across various clinical settings – in-hospital, outpatient, and virtual/at-home care programs.
Among the first SingHealth institutions to integrate Glia® will be National Heart Center Singapore and National Cancer Centre Singapore using clinical workflows in cardiology and oncology respectively, to enable OutcomesAI to enhance workflow efficiencies.
“This collaboration is an important step forward as we advance our Digital SingHealth journey,” said Prof Yeo Khung Keong, Deputy Group Chief Medical Informatics Officer (Research), SingHealth, and Chief Executive Officer, National Heart Centre Singapore (NHCS). “Generative AI has tremendous potential to enhance the operational efficiency of our care teams. We are leveraging its capabilities to not just improve workflows but to transform the very essence of patient care by improving access, timeliness, and resource optimisation. In this way, our care teams can focus on what matters most: providing attentive and personalised care that focuses on each patient’s unique health concerns and needs.”
In addition to the AI companions, OutcomesAI is designing AI patient navigators to assist the care teams with patient-facing tasks. Kuldeep stated, “Generative AI is much more than text processing. The rapid advancement of complex reasoning capabilities of AI and real-time voice technologies offer significant potential for enhancing patient engagement in non-diagnostic settings, such as intake, follow-ups, and even clinical trial follow-ups. The stakes are high, which is why we must ensure that AI patient navigator is exceptionally robust before we make them part of care teams.”
