Changes

[[ROEB-Transformation|ROEB Transformation]] is a movement to evolve the Regulatory Operations and Enforcement Branch (ROEB) at [[Health Canada]] into the digital era, by all employees for all Canadians.

[[ROEB-Transformation|ROEB Transformation]] is a movement to evolve the Regulatory Operations and Enforcement Branch (ROEB) at [[Health Canada]] into the digital era, by all employees for all Canadians.

Today’s regulatory landscape is complex and continually evolving, through rapid scientific innovation, technological advances and global supply chains. ROEB is committed to modernizing and transforming its compliance and enforcement approach to become more agile, assertive, consistent, innovative, proactive and risk-based. [[ROEB-Digital Transformation|Digital Transformation]] is large part of this commitment, supported by the [[Multi-year C&E Transformation]] plan, which directs and coordinates transformation efforts across ROEB’s compliance and enforcement programs.  

Today’s regulatory landscape is complex and continually evolving, through rapid scientific innovation, technological advances and global supply chains. ROEB is committed to modernizing and transforming its compliance and enforcement approach to become more agile, assertive, consistent, innovative, proactive and risk-based. [[ROEB-Digital Transformation|Digital Transformation]] is large part of this commitment and directs and coordinates transformation efforts across ROEB’s compliance and enforcement programs.  

 

 

The [[ROEB Transformation Office|Transformation Office]] was established to both support and lead this transformation movement by collaborating with compliance and enforcement programs to curate the mindset critical for change. As part of this movement, the Transformation Office, in collaboration with many divisions and programs within [[ROEB]] and beyond, is testing and applying novel technologies to advance compliance and enforcement into the digital era. [[File:TO Placemat.png|thumb]]

The [[ROEB Transformation Office|Transformation Office]] was established to both support and lead this transformation movement by collaborating with compliance and enforcement programs to curate the mindset critical for change. As part of this movement, the Transformation Office, in collaboration with many divisions and programs within [[ROEB]] and beyond, is testing and applying novel technologies to advance compliance and enforcement into the digital era. [[File:TO Placemat.png|thumb]]

===Technology Being Tested===

===Technology Being Tested===

====Natural Language Processing (Artificial Intelligence):====

====Natural Language Processing (Artificial Intelligence):====

There are several projects testing [[wikipedia:Natural_language_processing|Natural Language Processing]] (NLP) to support uses cases within ROEB. [[Project Cipher]] is a prime example of this technology to support the inspection programs. [[Project Cipher]] began as a [https://www.gcpedia.gc.ca/wiki/Health_Canada_Innovation_and_Experimentation Solutions Fund] project to test the technology applied to inspection observations to create an automated process to assign risk to each observation and other business process requirements critical within many inspection programs (for example: assignment of "Standard Lines"). [[Cyclops|Project Cyclops]] also uses NLP to interpret and classify extracted text from Natural Health Product labels.   

There are several projects testing [[wikipedia:Natural_language_processing|Natural Language Processing]] (NLP) to support uses cases within ROEB. [[Project Cipher]] is a prime example of this technology to support the inspection programs. [[Project Cipher]] began as a [https://www.gcpedia.gc.ca/wiki/Health_Canada_Innovation_and_Experimentation Solutions Fund] project to test the technology applied to inspection observations to create an automated process to assign risk to each observation and other business process requirements critical within many inspection programs (for example: assignment of "Standard Lines"). [[Cyclops|Project Cyclops]] also uses NLP to interpret and classify extracted text from Natural Health Product labels.