OpenFIT Overview

OpenFIT.care is based on an algorithm co-developed by Scott D. Miller Ph.D (International Center for Clinical Excellence, ICCE). Using OpenFIT, the user collects information about the patient's well-being and service feedback on each visit. The client/patient fills in an Outcome Rating Scale (ORS) questionnaire opened from OpenFIT at the beginning of each visit. At the end of the visit, the client/patient is asked to fill out a Session Rating Scale (SRS) to map the patient's experience of the visit and the relationship with the treating person/employee.

The points marked on the scales of the OpenFIT software service are transferred to the patient's data, and it draws a graphical graph for each patient. Based on the measurement results, the graph describes well-being and a graph describing the cooperative relationship, based on each visit. In addition, the software service uses an algorithm consisting of the initial measurement result, limit values, and data accumulated in the software service to produce an age-group-specific treatment response for the patient, which is drawn in a graphical representation in different colors (green – good response, yellow – no change, and red – poor response).

In addition to client/patient-specific information, the OpenFIT software service collects employee-specific data on all their treatments and calculates their effectiveness (ES). Information can be produced on various treatments. With the help of the program service, the user can monitor their own service processes and make changes to their activities based on the accumulated data. In addition, the OpenFIT software service produces organization-level information on the effectiveness of all services on an employee-specific basis and as a whole.