Bio: Karan Gill is an innovator and leader in medical technology, recognized for his contributions to healthcare automation. As the co-founder of OneLine Health (OLH), he has developed a Physician AI Copilot that revolutionizes outpatient clinics. This advanced platform automates the comprehensive clinical history-taking process by emulating a physician’s approach, extracting crucial lab and imaging data, and generating precise clinical notes prior to consultations. With a Master’s degree in Stem Cell Biology from USC, and a current medical student, Karan’s dedication to bridging healthcare gaps and enhancing patient outcomes continues to drive his impactful work in the digital health landscape.

Org Info: OneLine Health (OLH) is revolutionizing outpatient care with our advanced Physician AI Copilot. Our platform seamlessly automates comprehensive clinical history-taking, mirroring the precision of physician inquiries, while efficiently extracting and synthesizing lab and imaging data into succinct, data-rich clinical notes. By streamlining workflows, OLH enhances diagnostic accuracy and empowers healthcare professionals to focus on delivering exceptional patient care. Our innovative approach not only elevates efficiency but also bridges healthcare gaps, significantly improving accessibility and outcomes for underserved communities in addition to facilitating clinical decision making.

What motivated you to pursue your current work?

My experience in hospital systems exposed the challenge of meeting patient needs while providers faced time constraints and inefficiencies. This gap inspired us to develop the Physician AI Copilot—an advanced digital assistant that automates data aggregation and summarization. By doing so, OLH empowers physicians to concentrate on high-level patient care. Our platform enhances patient care by streamlining workflows and improving decision-making, effectively aligning patient needs with provider capabilities. Through strategic partnerships, we’ve achieved significant clinical improvements, driving our mission to transform healthcare delivery and outcomes.

What distinct value does your work bring to the digital health field?

Our work uniquely advances digital health by integrating AI into clinical workflows to maximize physician efficiency and raise the standard of healthcare delivery. Our physician AI Copilot not only accelerates the aggregation and synthesis of patient information but also reduces administrative burdens on healthcare providers. This enables clinicians to dedicate more time to direct patient care, improving both diagnostic accuracy and overall patient outcomes. By optimizing clinical workflows and expanding accessibility, especially in underserved areas, OLH sets a new benchmark for efficiency in digital health solutions with consistent statistically significant data to support.

How does your work impact your target end-users or stakeholders?

Our work profoundly impacts patients and providers, strengthening their relationship, by streamlining the care process. Patients benefit from an AI-driven pre-consultation that gathers detailed clinical history from the comfort of their home, reducing clinic stress. Providers receive this comprehensive data beforehand, allowing them to focus on patient interactions rather than documentation. This is especially beneficial for patients with communication challenges. Our standardized AI-generated notes minimize provider errors and workload, saving approximately 2 hours per clinic, improving patient and physician satisfaction and documentation quality/accuracy, and generating new revenue.

What is one exciting update or near-term opportunity that you would like to share with the digital health community?

An exciting near-term opportunity is our upcoming expansion of the AI Copilot’s capabilities through a pending research collaboration with Google AMIE. This partnership will enhance our technology to support multiple languages and diverse communication needs, making data collection more inclusive and accurate. The integration of advanced AI models will improve provider efficiency and patient interactions by delivering tailored, precise clinical insights. This collaboration represents a significant step toward broadening accessibility and adaptability, setting the stage for impactful advancements in patient care and healthcare efficiency.