For cancer patients, treatment begins long before an infusion chair is occupied. Behind the scenes, community oncology practices must forecast demand, purchase costly specialty drugs, manage inventory, and navigate a maze of contracts, rebates and payer requirements.At Oklahoma Cancer Specialists and Research Institute, those responsibilities had grown increasingly complex. Rising drug costs, shrinking reimbursement margins, and limited visibility into purchasing and inventory data were creating operational challenges for the independent oncology practice."We felt constrained by older systems that relied on batch processing, delayed or offline data synchronization, and static workflows that could not keep pace with our growing and increasingly dynamic practice environment," CFO Tara Hallum said.The organization, which includes more than 40 providers and allied health professionals, knew it needed a different approach.Searching for a better modelLike many community oncology practices, OCSRI invests millions of dollars annually to ensure lifesaving therapies are available when patients need them. But leaders found themselves working with fragmented information spread across purchasing, inventory, contract management and financial systems.The practice wanted more than another vendor relationship. Leaders sought a company that understood the realities of independent oncology and could provide greater transparency into pricing, contracts and operational performance.That search led OCSRI to AllyGPO and its AI-powered specialty drug management platform, AllyIQ.According to Hallum, the appeal extended beyond the technology itself. The platform promised a connected ecosystem that could integrate with existing practice systems and provide real-time visibility across drug purchasing, inventory management, contract performance and financial operations.Connecting the dotsToday, clinical, operational and financial teams across the organization use the platform in different ways.Clinical staff rely on smart cabinets for medication storage, inventory management and dispensing. Operational teams use the system to place orders, receive shipments and audit inventory. Finance teams track the lifecycle of drugs from contracting and purchasing through administration, billing and reconciliation.The result is a shared view of information that allows teams to make decisions more quickly and with greater confidence."We are able to see a deeper level of analytics, review system-generated recommendations based on our business rules, and proactively manage our business more effectively," Hallum said.The transition required more than technology. OCSRI leaders brought together cross-functional teams, invested in training and established ownership across departments to help drive adoption.Measurable resultsNine months after implementing the platform, OCSRI reports significant operational gains.The practice achieved a 35-day improvement in rebate payment timing, helping improve access to operating capital. It also gained 99% visibility into estimated rebate opportunities, allowing leaders to adjust purchasing strategies more proactively throughout the quarter.Perhaps most notably, the organization reduced drug-ordering time by 75%. Tasks that once required extensive manual effort can now be completed more efficiently with AI-assisted forecasting and ordering tools.For staff members, that means less time spent on administrative work and more time focused on supporting patient care.A stronger foundationThe experience reinforced a lesson many healthcare organizations are learning as artificial intelligence becomes more deeply embedded in operations: technology delivers the greatest value when it supports people and processes, not just transactions.For OCSRI, improved visibility across the business has helped strengthen both operational performance and financial sustainability."Operational excellence and clinical excellence cannot operate separately in modern community oncology," Hallum said.As independent oncology practices continue to face economic and operational pressures, OCSRI's experience suggests that better data, stronger integration and carefully deployed AI may help organizations maintain their focus on what matters most – delivering care to patients.HIMSS is hosting the one-day AI Executive Leadership Summit in Boston on June 24, 2026, followed by its AI in Healthcare Forum June 25-26. Register separately for the two events here and here. Follow Bill's health IT coverage on LinkedIn: Bill SiwickiEmail him: [email protected]Healthcare IT News is a HIMSS Media publication.WATCH NOW: Connectivity is healthcare's invisible digital backbone