As cancer care becomes increasingly complex and dependent on timely clinical information, Nigerian U.S.-based healthcare professional Rukayat Olayemi Oni is advocating for a more structured, data-driven approach to oncology care, patient-risk assessment, and clinical decision-making.
Speaking in a recent interview, she shared insights on how healthcare technology and better use of clinical data can strengthen how healthcare professionals identify patient risks, coordinate cancer care, and make informed treatment decisions.

Oni, recognized for her work in oncology healthcare innovation and technology-enabled healthcare delivery, explained that cancer patients often require continuous monitoring and coordinated care across multiple healthcare professionals. However, fragmented clinical information can make it difficult for care teams to develop a complete and timely understanding of a patient’s condition.

“Cancer care involves multiple layers of information, from a patient’s clinical history and treatment response to symptoms, risk indicators, and ongoing changes in their condition,” she said. “When that information is fragmented, it becomes more difficult to make timely and well-informed decisions.”

According to her, one of the major opportunities in contemporary oncology is improving how healthcare organizations transform available patient and clinical data into information that can directly support care decisions.
“We already generate significant amounts of healthcare data,” Oni noted. “The challenge is making that information useful at the point where decisions are being made. Data should help clinicians identify risks earlier, understand changes in a patient’s condition, and coordinate care more effectively.”

Her perspective reflects the increasing role of clinical decision support, healthcare analytics, digital health technology, and data-informed care in modern oncology. Oni emphasized that technology should complement professional clinical judgment by helping healthcare teams organize relevant information and identify patterns that may require attention.

She further explained that fragmented information can create challenges not only for individual clinical decisions but also for continuity of care, particularly when patients interact with different professionals and services during diagnosis, treatment, monitoring, and follow-up.

“Cancer care is rarely delivered by one professional in isolation,” she said. “It requires coordination. When relevant information can move effectively across the care pathway, the healthcare team is better positioned to understand what is happening with the patient and respond appropriately.”
Oni also highlighted the importance of early risk recognition, noting that effective oncology care depends partly on identifying meaningful changes in patient information before they develop into more serious clinical concerns.
“The value of data is not simply in collecting it,” she said. “Its real value comes from using it to recognize what may be changing, what requires attention, and where intervention may be necessary.”
According to Oni, this is where technology-enabled frameworks such as ONCODIAX™ can contribute to oncology practice by providing a systematic approach for organizing clinical information and supporting healthcare professionals without attempting to replace their judgment.

“Technology should support clinicians, not substitute for them,” she explained. “The objective is to give healthcare professionals clearer, more organized information that strengthens their ability to make patient-centered decisions.”

She believes the future of oncology healthcare will increasingly depend on how effectively healthcare institutions combine clinical expertise, patient information, data analytics, and digital technology.
“The future of cancer care is not simply about having more data,” Oni said. “It is about having the right information available at the right time and using it responsibly to support better care.”

While acknowledging challenges surrounding technology integration, clinical workflows, data quality, and adoption, Oni remains optimistic about the potential for more intelligent and coordinated approaches to cancer care.
“Cancer care will always require human expertise, compassion, and sound clinical judgment,” she added. “But when those qualities are supported by better information and well-designed technology, we have an opportunity to make oncology care more coordinated, informed, efficient, and patient centered.”