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About this Whitepaper

About this Whitepaper 

In its truest form, automation denotes a process that takes new information as it becomes available, synthesizes it, and makes a decision as to what the appropriate next action should be. Because of the power of this capability, the term automation should be held in much higher regard. But, despite vast opportunities offered by the expansion of automation into care systems, major gaps remain in the infrastructure required to support its widespread introduction. This whitepaper talks about automation in clinical research and explains how a platform for integrated data management can offer an improved infrastructure conducive to automated decision-making.

 

 

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Automation for Clinical Research

Learn how the definition of automation is used in context of clinical research.

 

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Widespread Adoption

Read about the 5 main components needed for widespread implementation of automated decision-making.

 

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Current Limitations

Understand the current limitations of automated decision-making and how we may fill these gaps in the future.

 

"Clinical automation has the potential to dramatically improve healthcare efficiency. Specifically, the concept of clinical automation can improve the rate at which quality care is delivered and simultaneously reduce demand on resources. Computer-facilitated treatment decisions can be calculated and implemented in real-time, and they do not necessarily require a care provider’s attention."

 

"The challenge of connecting automation methods to actual patient care is in finding the right tool to bridge the gap. Adjusting clinical IT infrastructure is an intuitive and relatively straightforward way to glue the pieces together."