Nigerian Analyst Oluwadamilola Adeleke Secures Landmark Patent for Quantum-Inspired Healthcare Forecasting

By Tosin Clegg

A groundbreaking leap in healthcare finance has emerged as Nigerian-born financial analyst, Oluwadamilola (Dammy) Adeleke, secures a patent for a revolutionary system titled Quantum-Inspired Algorithms for Large-Scale Healthcare Financial Forecasting. The innovation promises to transform how hospitals, governments, and insurers predict costs, allocate resources, and respond to financial risks, marking one of the most ambitious advances in healthcare forecasting to date.

Adeleke’s invention addresses one of the biggest global challenges: the rising complexity of healthcare finance. With worldwide healthcare spending exceeding $9.7 trillion annually, traditional forecasting methods and models have struggled to keep pace, often achieving only 65–75% accuracy for short-term projections and performing even worse for long-term forecasts. Her patent confronts these weaknesses head-on, introducing quantum-inspired techniques that predictably boost financial accuracy, analytical speed and systems adaptability.

At the core of the invention is an ingenious hybrid system that merges quantum principles with classical machine learning. According to the patent, the framework achieves 92–97% accuracy in short-term predictions and up to 91% in long-term forecasts; a milestone far beyond what conventional financial models typically deliver. Adeleke describes the result as “a new frontier where healthcare finance gains the predictive stability it has always lacked”.

In an interview about the breakthrough, she explained: “Healthcare systems operate in extremely dynamic environments. For years, the industry has relied on tools that were simply not built for the scale or complexity we now face. This patent demonstrates that quantum-inspired models can give us the speed, precision and agility modern healthcare demands.” Her confidence reflects a deep understanding of financial systems shaped by over five years of experience in revenue cycle optimization, forecasting and cost analysis within major U.S. healthcare institutions.

Adeleke currently serves as a Senior Financial Analyst at Rush University Medical Center in Chicago, where she manages multimillion-dollar budgets, improves forecasting accuracy and uses advanced analytics to influence patient-centered decision-making. Her work has contributed to improved contribution margins, reduced operational costs, and better allocation of resources such as cardiac care facilities and neurovascular technologies. This professional background provided the real-world insight necessary to identify longstanding gaps in healthcare forecasting systems.

The patented system begins with quantum amplitude encoding, which compresses massive financial datasets sometimes reaching terabyte scale, while preserving over 99.5% of their information content. This step alone offers a leap forward in how quickly health organizations can process operational, clinical and financial indicators.

Another major component is the use of Variational Quantum Eigensolvers (VQE) adapted for healthcare finance. These models capture complex financial correlations that classical systems often miss, especially in high-dimensional environments like hospital networks. By mapping financial factors into quantum-inspired states, the system uncovers patterns that enable far more reliable long-term predictions.

The invention also integrates a Quantum Approximate Optimization Algorithm (QAOA) to solve multi-objective resource allocation problems. This feature is crucial in environments where hospitals must balance cost, quality and access all at once. According to the documentation, the algorithm achieves 35–50% greater efficiency in resource distribution. Adeleke calls this capability “a turning point for health administrators who must make high-stakes decisions daily under severe constraints.”

Beyond accuracy, the framework delivers astonishing speed. In tests cited in the patent, the system performed 500 times faster than classical forecasting tools when analyzing datasets over 1TB in size. What once required days of processing can now be completed in minutes or even seconds, opening the door to real-time financial decision-making.

Adeleke noted: “When a hospital system is losing money or facing sudden financial shocks, response time is everything. A forecasting system that adapts instantly can save millions and protect patient access to essential care.” Her invention integrates real-time adaptive learning using quantum-inspired Kalman filtering, allowing the model to update itself continuously as new financial data arrives.

One of the most impressive aspects of the patent is its scalability. While many forecasting technologies fail when applied to networks of hundreds of institutions, Adeleke’s system can model up to 50,000 healthcare institutions using quantum graph algorithms. This capability positions the invention as a powerful tool for national health systems, insurance conglomerates and multinational providers.

Experts have long warned that the healthcare sector needs more efficient and sustainable financial models. Adeleke’s innovation directly answers this call. Her framework not only enhances forecasting accuracy but also reduces computational energy consumption by 75%, making it an important contribution to cost-efficient digital infrastructure.

Her background in both finance and project management backed by a 4.0 MBA from Concordia University Chicago and a PMP certification added significant depth to the development of the patented system. She has consistently led initiatives that integrate technology, financial insight and operational efficiency, aligning with her stated passion for “contributing to the future of healthcare transformation.”

Industry professionals have praised the invention as a rare crossover between quantum-inspired computing and practical healthcare operations. It sets a new benchmark for predictive modelling in environments where accuracy directly affects patient outcomes, budgeting and national health planning. Adeleke’s framework could shape how healthcare systems prepare for pandemics, manage supply chains, and respond to rising operational costs.

As global healthcare spending continues to rise, her patent arrives at a critical moment. The invention represents not just an academic milestone but a tangible tool with the potential to save organizations billions, improve patient care, and modernize healthcare finance worldwide. It positions Oluwadamilola Adeleke as one of the most forward-thinking innovators in healthcare analytics today an achievement she describes simply as “a commitment to building a healthier and more financially resilient future for all.”