What is the name of your organization?
Alpime Health
What is the name of your solution?
Mozart
Provide a one-line summary or tagline for your solution.
The first AI-native paper-to-digital conversion tool for healthcare records
In what city, town, or region is your solution team headquartered?
Evanston, IL, USA
In what country is your solution team headquartered?
United States
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
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What specific problem are you solving?
Healthcare systems in underserved communities remain heavily reliant on paper-based workflows, severely limiting the quality and continuity of patient care. This lack of digitization delays diagnoses, fragments records, and burdens already stretched clinicians.
We define underserved healthcare communities as those without widespread digital health infrastructure - spanning much of Africa, South Asia, and rural America. Globally, this impacts over 3 billion people, or nearly 3 in 8 individuals, who lack access to efficient, coordinated, and data-driven healthcare.
A key factor is the slow adoption of electronic health records (EHRs), due to entrenched habits, limited funding, and a lack of accessible transition tools. While the U.S. achieved 95% EHR adoption over 15 years, such timelines are unsustainable elsewhere.
Governments often lack the resources or strategies to lead digitization efforts. Meanwhile, healthcare workers face the impossible trade-off of learning new systems while managing high patient loads.
We are addressing this problem by providing bridge technologies that ease the transition from paper to digital - empowering clinicians without disrupting care. With the right tools, we can compress the digitization curve and bring modern healthcare infrastructure to those who need it most
What is your solution?
Our solution is a unified digital health platform designed to help healthcare workers transition from paper-based systems to a fully digital clinical workflow. It is secure, reliable, and built to meet the unique needs of underserved health environments. At the core of our platform is Mozart, a paper-to-digital conversion tool that uses optical character recognition (OCR), machine learning, and natural language processing (NLP) to extract handwritten or printed data from multilingual medical forms. This information is structured and synced directly into electronic health record (EHR) systems, making it easy to access, query, and analyze. In addition, we provide a predictive modeling dashboard for hospital administrators. This tool delivers real-time clinical and operational insights, including: patient inflow/outflow, bed capacity, department-level performance, disease profiling, equipment inventory, and budget forecasting. It empowers decision-makers with the data they need to improve care delivery and optimize resource allocation. By streamlining recordkeeping and enabling data-driven planning, our platform accelerates the digitization of healthcare systems in low-resource settings—without disrupting frontline care. This makes modern digital infrastructure both accessible and actionable for providers on the ground.
Who does your solution serve, and in what ways will the solution impact their lives?
Our solution completes the digital health pyramid to enable healthcare workers to perform all of their responsibilities and deliver the highest quality of patient care. At the center of our approach is Mozart, our paper-to-digital conversion tool designed specifically for nurses, medical scribes, and clinicians who are burdened by manual documentation. These workers often face what we call a “double data entry” loop-reading handwritten patient forms, typing the information into an electronic health record (EHR) system, and repeating this process page after page. It’s inefficient, exhausting, and prone to error. Mozart eliminates this bottleneck. Clinicians simply scan a paper patient record, and our OCR engine -built for medical contexts - automatically extracts key handwritten and printed information with over 90% accuracy. A built-in flagging system highlights sections that require clinician review to ensure quality control. Once verified, the extracted data is automatically mapped and sent to the appropriate fields in the EHR. This seamless flow not only improves clinical documentation accuracy but also dramatically speeds up the process. Mozart reduces the time it takes to digitize a single patient form by more than sevenfold, freeing up valuable time for healthcare workers to focus on what matters most: patient care.
