hc1, the leader in identifying real-time insights and risk signals in complex laboratory data, has announced a development partnership with American Oncology Network (AON), a rapidly growing network of community-based oncology practices across the country. The collaboration, which began in February 2023, will enable AON‘s cancer care team to optimize lab staffing through AI and machine learning models trained on combined timekeeping and testing data using hc1’s upcoming Workforce Optimization solution.
With 73% of labs currently understaffed, a continuing burden is placed on lab professionals to do more with less. Taking a data-driven approach through the utilization of AI and machine learning models trained to predict future demands for lab services creates an evidence-based strategy to proactively address pain points and better forecast demand for lab services across the organization.
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“Lab results have downstream implications for our providers and patients,” said Curtiss McNair, VP of laboratory services for AON. “This partnership enables us to develop better processes with real-time actionable insights into our data and imparts us with forward-thinking recommendations based on a detailed analysis to optimize staffing and expenses,” McNair added.
The development partnership is well underway with design input from AON’s team taking place to help create a proactive system enabling visibility of key performance indicators. Testing and install is slated to occur by fall 2023 and will initially be deployed at AON‘s central lab in Ft. Myers, FL.
“We know the tighter margins in healthcare due to labor shortages have created an urgent need to optimize staffing and expenses,” said Adam Sajewich, director, high value care, hc1. “Our partnership with AON demonstrates their commitment to innovation and a data-driven solution. They are a key partner who will play an important role in the development and adoption of this new solution and how its predictive insights can help guide decision-making in real-time,” Sajewich added.
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