AI Poised to Transform Healthcare: Transforming Costs, Outcomes, and Neurological Care AI Transforming Neurological Care – Firas Rhaiem and Ali-Frederic Ben-Amor, Knowlepsy
By, Lane F. Cooper, Editorial Director, BizTechReports
Artificial intelligence (AI) is reshaping industries worldwide, with its potential in healthcare gaining notable attention. According to a 2024 report by Grand View Research, global AI spend in the healthcare market is projected to reach $208.2 billion by 2030, growing at a compound annual growth rate (CAGR) of 37.5% from 2023 to 2030.
Firas Rhaiem, CEO, Knowlepsy
Investments in clinical AI are driven by its ability to reduce healthcare costs, improve patient outcomes through personalized medicine, and address systemic challenges like workforce shortages and rising demand for preventive care. Advances in medical imaging, big data availability, and government have accelerated adoption.
In the field of neurology, AI holds immense potential to enhance diagnosis, identify triggers using digital biomarkers, and deliver tailored treatments for complex conditions like epilepsy and migraines.
Transforming Neurological Care
Neurological conditions such as epilepsy, migraines, and strokes have long presented challenges for healthcare providers, from diagnosis to treatment and ongoing patient monitoring. According to Rhaiem, AI is poised to address these challenges by analyzing diverse data sources to generate actionable insights.
“AI is bridging significant gaps in neurological care,” Rhaiem said. “By analyzing data from wearable devices, behavioral patterns, and environmental factors, we can identify triggers and trends that help craft personalized treatment strategies. This is about more than just predictive models—it’s about using data to facilitate real-world impact.”
Ali-Frederic Ben-Amor, Chief Strategy Officer, Knowlepsy
Ben-Amor emphasized how AI is shifting the healthcare paradigm from hypothesis-driven approaches to data-driven discoveries.
“Traditionally, healthcare relied on assumptions, like ‘excessive sugar intake leads to diabetes.’ With AI, we can uncover previously unrecognized patterns based on real-time data that can drive better care. This is especially important in neurological conditions, where the availability of biomarkers is limited,” he explained.
Data Integration and Overcoming Fragmentation
Integrating diverse data sources is a major challenge in the implementation of AI in healthcare. In regions like the United States, where electronic health records (EHRs) are fragmented and data sources siloed, creating a cohesive view of patient health is particularly complex. Knowlepsy is addressing this fragmentation through innovative data integration methods.
The company’s wearable devices – and its integration with popular devices already in the market – collect data passively, minimizing the burden on patients and healthcare providers.
“This allows us to provide decision-makers—whether hospitals, insurers, or pharmaceutical companies—with a fuller picture of a patient’s health. To accomplish this, we follow a zero-effort approach on the part of patients,” Ben-Amor explained. “We automate data collection to ensure compliance with privacy regulations like GDPR while reducing the need for manual input from patients and physicians.”
Reducing Costs and Improving Efficiency
One of the most compelling aspects of Knowlepsy’s work is its potential to reduce healthcare costs while improving patient care. Early adopters of the company’s solutions have reported significant cost savings and operational efficiencies.
“Hospitals using our platform have reduced operational costs by 20% within six months,” Rhaiem shared. “By predicting hospitalization needs, facilities can optimize bed capacity and allocate resources more effectively.”
For example, Knowlepsy’s platform enables hospitals to identify which patients require urgent care based on real-time data.
“If two patients with epilepsy present similar symptoms, the system helps prioritize care based on objective data rather than subjective evaluations,” Rhaiem noted. “This reduces unnecessary hospitalizations and improves resource utilization.”
Beyond cost savings, these improvements translate to better outcomes for patients. Ben-Amor highlighted how real-time data can enhance patients’ quality of life.
“Imagine a patient receiving a notification that they are at risk of a migraine in the next few hours. They could take preventive measures or adjust their plans to avoid potential triggers,” he said. “This level of personalization is unprecedented in neurological care.”
Advancing Precision Medicine with Digital Biomarkers
Precision medicine, which tailors treatments to individual patients, has made significant strides in fields like oncology and diabetes due to the availability of biomarkers. However, neurological conditions have lagged behind because traditional biomarkers are often unavailable.
“Digital biomarkers represent a breakthrough in neurology,” Ben-Amor said. “These include data from wearable devices, behavioral patterns, and environmental factors. For instance, weather changes are often linked to headaches, enabling us to identify and address triggers.”
Rhaiem elaborated on the potential of digital biomarkers to enhance patient care.
“Our goal is to provide a detailed, continuous view of a patient’s health, empowering physicians to make more informed decisions. This isn’t just about improving accuracy—it’s about creating actionable insights that drive better outcomes,” he explained.
Global Scalability and Partnerships
As Knowlepsy continues to refine its solutions, the company is focusing on scalability and global impact. Through strategic partnerships with major organizations in technology and healthcare, Knowlepsy plans to bring its platform to hospitals and healthcare providers worldwide.
“By partnering with Microsoft, we’re working to ensure our solutions are accessible across continents,” Rhaiem said. “Our vision is to create a global impact, empowering people and organizations to leverage data for better healthcare.”
The company’s agnostic approach to wearable devices further supports this scalability. While currently compatible with Apple Watch and Fitbit, Knowlepsy is expanding its integration to eight or nine devices by the end of 2025.
Balancing Accuracy with Actionability
The use of AI in healthcare raises questions about data accuracy and reliability, particularly in the context of generative AI. Both Rhaiem and Ben-Amor acknowledged these challenges while emphasizing the importance of actionable insights over perfection.
“Absolute accuracy is unattainable, but sufficient reliability can drive meaningful improvements,” Ben-Amor said. “Think of weather forecasting—it’s not perfect, but it provides enough information to guide critical decisions.”
Knowlepsy employs rigorous calibration and validation processes to ensure the quality of its data. “Our data is encrypted, anonymized, and validated against real-world outcomes,” Rhaiem explained. “This approach ensures that the insights we provide are both reliable and actionable.”
Economic and Human Implications
The economic implications of Knowlepsy’s platform are significant, particularly in high-cost healthcare systems like the United States. By reducing hospitalizations and optimizing resource allocation, the company’s solutions offer an opportunity to “bend the cost curve” in favor of patients and providers.
“Within our ecosystem, clients have seen not only cost reductions but also improvements in patient outcomes,” Rhaiem said. “This dual benefit underscores the value of integrating AI into neurological care.”
Ben-Amor highlighted the broader human impact of these innovations. “This isn’t just about saving money—it’s about giving patients greater control over their lives. When people can anticipate and manage their health more effectively, it improves their overall well-being.”
Future Directions
Looking ahead, Knowlepsy is focused on expanding its reach and continuing to innovate in the field of neurological care. The company’s leaders believe that the healthcare industry is ready to embrace these advancements, driven by the growing demand for data-driven decision-making.
“Patients want more control, physicians want better tools, and payers want cost-effective solutions,” Ben-Amor said. “Our platform addresses all these needs, making it a valuable addition to the healthcare ecosystem.”
Rhaiem emphasized the company’s commitment to its mission. “We’re not just building technology—we’re creating solutions that make a real difference in people’s lives. Whether it’s reducing hospitalizations, improving quality of life, or supporting healthcare providers, we’re dedicated to advancing neurological care.”
As AI continues to transform healthcare, Knowlepsy’s work represents a significant step forward in addressing the challenges of neurological care. By combining innovative technology with a focus on patient outcomes, the company is paving the way for a more efficient, personalized, and equitable healthcare system.
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This article is based on a BizTechReport vidcast interview with Knowlepsy’s Firas Rhaiem and Ali-Frederic Ben-Amor. View Vidcast Here