METADATA
last updated: 2026-02-17 RT
file_name: _context-commentary_guides-test-training.md
category: guides
subcategory: test-training
words: 732
tokens: 920


CONTENT

## Context
The test-training subcategory contains materials from FloodLAMP's effort to build a structured, video-based training program for its QuickColor COVID-19 test. The program was designed to enable new operators, including non-laboratory personnel such as firefighters, to learn the full testing workflow independently, from safety and contamination control through sample processing, amplification, and result logging.

The training system used Moodle Cloud as the learning management platform, with EdPuzzle integrated for interactive video content. An administrative guide (CRTT Moodle and EdPuzzle Guide) documented how to manage the platform, including user enrollment, course setup, content creation, activity completion settings, course copying, and learner reporting.

A series of 17 training videos were produced covering the complete testing workflow. The transcripts, preserved in the archive, address: introductory orientation; safety and PPE; contamination protocols for RNase, positive control, sample cross-contamination, and amplicon handling; each procedural step from 1X inactivation saline preparation through inactivation, reaction mix preparation, thawing, adding samples to reactions, intaking samples via the FloodLAMP app, resulting, and run logging; scale-up procedures for larger batches including dispensing and water bath inactivation; and appendices on lab setup, pipette cleaning, and dispenser operation. The videos were narrated walkthroughs filmed in working lab environments, often with real-time interaction between the trainer and site personnel.

A Certification Run Assessment (v1.1) provided a formal pass/fail checklist for evaluating new operators by reviewing a recorded test run. The assessment covered PPE and safety compliance, contamination control practices and common infractions, documentation, and correct execution of each procedural step from inactivation through app-based tube handling, with an optional module for plate-scale testing. The assessment was designed for self-grading. The expectation Was it the trainee would typically go through several iterations on running the test and reviewing the checklist and identifying their mistakes. Then only when the trainee checked all the boxes in the latest assessment would FloodLAMP personnel review the records. This was set up to be highly scalable, being self-driven by the trainee and then only require about 30 minutes of FloodLAMP staff time for certification.

In the end, only a small number of people completed the video-based training program. FloodLAMP's pilot sites generally preferred in-person training from experienced technicians, and the program saw limited adoption relative to the investment required to produce it. The training content itself, however, documents the full testing workflow in considerable procedural detail and provides a record of how a decentralized molecular test was taught to non-laboratory personnel.

These materials connect to the operational guides in the test-site subcategory, which cover site setup and deployment logistics, and to the pilot-sites subcategory, which documents the individual pilot programs where the training was (or was not) used.


## Commentary
The video-based training program was overly ambitious for the scale at which we actually deployed the test. For our last deployment at Abrome, our final pilot site, they chose to pay extra to have one of our experienced test technicians fly out to set up the lab and train their people in person rather than rely on self-guided video training. The handful who did use the videos — notably at the Needham, Massachusetts pilot site — completed it successfully. But overall, I conclude the investment was overkill for the scale we reached.

Beyond the procedures themselves, the video transcripts capture the reasoning behind contamination controls, quality practices, and the practical tips that come from running the test repeatedly — things like why you treat the amplification area as radioactive, how to handle the positive control with one hand, or when to just replace materials rather than trying to track down a contamination source. As a record of how a decentralized molecular test was taught to non-laboratory personnel, including firefighters, this material may have reference value for anyone designing similar programs.

AI completely changes how a program like this would be done today. In addition to or instead of pre-recorded videos and an LMS, a lab testing person would likely be best served by an audio AI assistant that could display information on a screen and answer questions in real time. Such a system could adapt to the operator's pace, respond to specific questions as they arise during a run, and scale both training and ongoing operational support without requiring experienced personnel to be physically present at each site. This is one area where the gap between what we built in 2021-2022 and what would be possible today is particularly striking.