In today’s dynamic healthcare landscape, laboratories face increasing pressure to deliver accurate results quickly while maintaining high quality and regulatory compliance. This challenge is compounded by rising patient volumes, complex test demands, and tightening financial margins. To address these challenges quickly and efficiently, laboratories must embrace data-driven automation to improve efficiency, accuracy, and decision-making. By integrating advanced technologies, labs can streamline workflows, optimize resource allocation, enhance patient care, and gain a competitive edge.
Genetic testing labs are no exception. Existing as they do at the forefront of modern medicine, these labs play a crucial role in healthcare, employing a variety of advanced molecular test methods to identify highly specific disease markers. Genetic tests empower patients and providers to make more informed treatment decisions while enabling the development of targeted, personalized therapies. However, many genetic testing laboratories still rely on a patchwork of off-the-shelf software solutions to manage their daily operations and finances, juggling the specific and often incompatible requirements of their laboratory information system (LIS), middleware, electronic health record (EHR), and revenue cycle management (RCM) platforms. And while each platform has its place, these siloed and often disconnected systems fall short in addressing the unique needs of genetic testing environments, leading to errors, delays, and missed revenue opportunities.
But there is hope. By adopting data-driven strategies, streamlining workflows, and leveraging software and automation technologies, laboratories of all types can significantly improve their operational efficiency and financial performance, reducing costs, increasing throughput, boosting profitability and enhancing patient care.
This white paper will present a case study exploring the benefits of software automation in three key areas of genetics laboratory administration: clinical laboratory operations, accounts payable, and claims management.
