Pathology data often forms the basis for the doctor’s diagnosis and treatment planning. Correct diagnosis by the pathologist is therefore a decisive factor in the correct treatment of the patient. New technologies are already being used in pathology to further optimize the efficiency of diagnostics. AI technologies are often already being used in areas such as tumor screening, the measurement of mitotic coefficients or the detection of biomarkers.
In pathology, it is common to verify diagnoses through second opinions or in collaboration with other specialties, especially in the case of complex or rare diseases such as cancer. Accordingly, a large part of a pathologist’s typical day consists of case conferences with colleagues. With traditional glass slides, it is still difficult to quickly and easily share specimens with specialists or other pathologists for review.
Digital slides offer the possibility of more efficient data exchange. Digital pathology data also offers the possibility of direct and flexible access to a large number of high-quality cases for medical education and training as well as for students and training assistants.
In the pathology market, demand often exceeds the supply and availability of qualified pathologists.
This is partly due to the fact that the number of elderly people and cancer patients is increasing worldwide, while not enough doctors are choosing to become pathologists. This shortage can be offset by the use of digital pathology, as digitalization increases the productivity and efficiency of workflows. In addition, the corona pandemic has increased the demand for telepathology services, which requires a further step towards digital processes.
For many pathology laboratories and departments, these changes mean the transition to digital pathology and budgets are being planned for the necessary modalities and software solutions.