OBJECTIVES: Health Related Quality of Life (HRQoL) is a useful outcome variable in chronic patients follow-up.  Adaptive Measurement of Change (AMC) is a technique to measure changes at the individual level in Computer Adaptive Tests (CATs) based on Item Response Theory. The CAT-Health system is a recently developed CAT which measures generic HRQoL. Using AMC the CAT-Health could be used to assess changes in a follow-up for an individual patient, something currently not possible with the available tools. The objective was to assess, by means of simulation technique, the feasibility of using AMC as a stop rule for the CAT-Health system when doing follow-ups. METHODS: A Montecarlo simulation of the responses from 700 subjects of varying levels of HRQoL at baseline and a follow-up with a small change in the true score of the subject (6.25 points in a 0-100 scale, 50±10). The first application used the CAT Health system usual stop rules: at least 5 items, at most 15, S.E. below 1 and not being reduced more than 5%. The second application configured the system to stop if a significant change were detected. RESULTS: The follow-up application mean length was 16.52 items. Excluding the most healthy subjects (not in the target population), mean length was 15.02 items. For this sample, 75.4% of the individual changes were detected, 68% with less than 25 items. CONCLUSIONS: Increasing the maximum length of the test to 25 items for follow-ups we can theoretically detect most changes in the HRQoL of chronic patients