Abstract: A computer-implemented method for providing a dynamically customized subject message and a dynamically customized health practitioner message to each subject and health practitioner in a healthcare facility, respectively, wherein each health practitioner is assigned to a plurality of subjects, the method comprising for each subject receiving subject data of the subject, receiving responses of the subject to one or more first questions of a questionnaire, generating an input dataset from the subject data and the received responses, applying a trained mathematical model on the generated input dataset to predict a profile of the subject, determining that a predetermined configuration requirement has been met, receiving healthcare facility data of the healthcare facility, and determining performance information of at least one of the plurality of subjects based on the healthcare facility data and on the subject data and predicted profile.

Abstract: The current invention concerns a method for predicting a placebo response in an individual, comprising collecting data via—querying said individual on personality and health traits; and/or—performing one or more social learning and/or (bio)physical tests on said individual; characterized in that said data is used in a mathematical model stored on a computer for computing a correlation between the input data, thereby attributing a Scoring Factor to said individual, whereby said Scoring Factor is a measure of propensity to raise a placebo response and/or a measure of the intensity of said response.

Abstract: A method is described for predicting a pain response in a subject suffering from cancer-induced bone pain (CIBP). Data is collected from the subject by querying the subject on personality and/or health traits, and/or performing one or more social learning and/or (bio)physical tests by or on the subject. The data is used in a set of mathematical models to attribute one or more Scoring Factors to the subject. The Scoring Factor is a measure of the propensity of the subject to raise a response to a pain stimulus or a treatment strategy; and/or a measure of the intensity of the response of the subject.

Abstract: A method for predicting a placebo response in an individual, suffering from or at risk of developing a pain disorder is described. Data is collected from the individual by querying the individual on personality and/or health traits, or performing one or more social learning and/or (bio)physical tests on said individual. The data is used in a mathematical model which attributes a Scoring Factor to the individual. The Scoring Factor is a measure of propensity to raise a placebo response and/or a measure of the intensity of the response for the pain disorder. Tools for implementing the method and preferred uses of the method are described.