Key Highlights :
$30M Funding to Rectify Record Inefficiencies: Predoc raises substantial investment to supplant legacy manual record search with AI-driven automation in EHR platforms.
Early Demonstrated Impact: $500K revenue within six months, already installed with 35 providers, with clinics realizing up to 40% reduction in inefficiencies.
Key Background :
Patient record management remains the most wasteful process in American healthcare. Despite the advancement of electronic systems, many clinics are left with outdated methods such as faxing, telephone calls, and manual retrieval of documents. For doctors, it means hours wasted on paperwork, delays in scheduling, and frustrated patients.
It was this problem that prompted the creation of Predoc in 2022. Neuro-ophthalmologist Kaushal Kulkarni, along with co-founders Nishant Hari, Dr. Priya Mehta, and Alex Daniels, were confronted directly with the administrative load resulting from fragmented health information systems. They wanted to build an AI-first platform which would make medical records management and clinical workflows computerized.
Predoc's process covers all stages of the procedure: requesting, collecting and collating documents, locating missing documents, and passing formatted information straight into EHRs. It aims to construct a "last mile" solution insisting that medical records are present and accessible when appointments are scheduled. It eliminates bottlenecks in patient care and eliminates much of the manual toil traditionally required.
The firm has already seen a lot of traction. In the initial half-year of operations, Predoc generated about $500,000 in revenues and began serving 35 healthcare providers. By becoming an outsourced records management company, it alleviates the clinics from document chasing and allows doctors to concentrate on patient interaction instead of paperwork.
The problem is particularly acute for small and medium-sized practices, who make up the largest number of U.S. healthcare providers. Large health information management companies chase the top 10% of the market, leaving little clinics to struggle with inefficient in-house systems. Predoc fills this gap, offering a scaleable solution to an underserved niche.
Early signals are that the platform delivers real efficiency. A single mid-size provider cut staff time taken for record retrieval by 40% after a month of running Predoc. Such gains suggest the broader potential of AI-driven automation to reduce administrative burden and drive better patient outcomes. Predoc now raises $30 million in fresh capital to drive technical capabilities and integrations and become a central infrastructure force in healthcare delivery today.
About the Author
Kevin Smith
Kevin Smith is a Managing Editor at World Care Magazine.