Across the healthcare continuum today, there is growing pressure to transform the delivery system into one that achieves better outcomes at lower costs, and to do so in a more personalized and patientfriendly way. It’s a concept that’s easier said than done. Health systems are being forced to think and act differently to successfully address the challenges that surround this new way of care delivery. In an effort to achieve this goal, significant shifts are occurring along all stages of the patient journey.
One change that is inevitable is the integration of radiology, pathology, genomics, and electronic health records (i.e., clinical history), which will allow for earlier and more personalized diagnosis and treatment. Between the growing role of AI in radiology, the digitalization of pathology and the expanded use of genomics, we’re seeing all theseareas evolving rapidly.
While radiology, pathology, and genomics are sometimes viewed as different disciplines today, there’s an exponential growth of data occurring within each discipline, which is leading to a greater need for integration. By integrating the abundant amount of data available in thesefields,invaluable insights on diseases that may otherwise be out of reach can be unlocked, resulting in the ability to significantly improve two key junctures in a patient’s care journey–diagnosis and treatment. It’s a concept that reverts back to one of the basic tenets of medicine–that the earlier you diagnose a disease; the earlier treatment can begin, driving lower costs and an improved chance at a better outcome.