How decision support transforms flow cytometry diagnostics from radiology roots?

flow cytometry laboratory with radiology roots


Decision Support Systems

How Did It All Begin?

Let’s explore this journey and how it relates to innovative solutions like FlowView. 

Emergence (1980s-1990s)

Frustrated radiologist over slow cell analysis which uses CAD systems.

Acceptance (2000s-2010s)

The evolution of imaging technology has led to significant improvements in CAD systems. CAD systems offer automated measurements, annotations, and suggested diagnoses. Radiologists have increasingly recognized the potential benefits. This has led to greater acceptance and usage of decision support tools in healthcare.

Happy radiologist with automated CAD systems that help to analyze cells faster and by using automation.

Integration (2010s-Present)

Optimization (Ongoing)

AI cell analysis robot claps hand with radiologist thanks to full automation over cell analysis in flow cytometry.

Parallel in Flow Cytometry Diagnostics

Here’s how the adoption of decision support in flow cytometry diagnostics might parallel the radiology experience:

The Role of FlowView Diagnostics Solution


The journey of adopting decision support in healthcare, which started with radiology and is now extending to flow cytometry diagnostics, shares a common trajectory. This evolution holds great promise for healthcare, with the potential to reduce diagnostic errors and improve patient outcomes. Solutions like FlowView are at the forefront of this transformation, playing a crucial role in enhancing the diagnostic process and revolutionizing healthcare for the better.