Within the field of psychology and social sciences, comparing different measures like DUDIT (Drug Use Disorders Identification Test) and TFLB (Timeline-Followback Interview) is crucial. This process can be painstakingly subjective, time-consuming and complex. Thankfully, advancements in artificial intelligence and natural language processing have produced tools like Harmony, which can facilitate smoother and more efficient harmonisation. Using Harmony to compare DUDIT and TFLB seems like the next logical step to take in order to eliminate manual data processing and extract precise comparisons. Harmony uses large language models to assess and compare different instruments such as DUDIT and TFLB. The tool provides a percentage match between each item from DUDIT and TFLB, transforming the formerly tedious process of harmonising items across different evaluations into a manageable task. Harmony allows psychologists to upload their own instruments for comparison, creating a versatile platform adept at dealing with custom requirements. Applying Harmony to the comparison of DUDIT vs TFLB yields an easily accessible evaluation that can be used to draw relevant inferences. With the ability to work across different languages and handle PDF uploads, Harmony goes beyond just DUDIT vs TFLB. It is suitable for numerous analytical needs that include multiple instruments from around the globe. Using Harmony for DUDIT vs TFLB not only modernizes the harmonisation process, but also paves the way for increased global inclusiveness and scalability in psychological and social research.
