Patients' involvement in e-health services quality assessment: a system for the automatic interpretation of SMS-based patients' feedback.

An Article from the Journal of Biomedical Informatics

Patients' involvement in e-health services quality assessment: a system for the automatic interpretation of SMS-based patients' feedback.

From the PubMed Abstract: "Effective communication between patients and health services providers is a key aspect for optimizing and maintaining these services. This work describes a system for the automatic evaluation of users' perception of the quality of SmsCup, a reminder system for outpatient visits based on short message service (SMS). The final purpose is the creation of a closed-loop control system for the outpatient service, where patients' complaints and comments represent a feedback that can be used for a better implementation of the service itself."

Methods: "SmsCup was adopted since about eight years by an Italian healthcare organization, with very good results in reducing the no-show (missing visits) phenomenon. During these years, a number of citizens, even if not required, sent a message back, with comments about the service. The automatic interpretation of the content of those SMS may be useful for monitoring and improving service performances.Yet, due to the complex nature of SMS language, their interpretation represents an ongoing challenge. The proposed system uses conditional random fields as the information extraction method for classifying messages into several semantic categories. The categories refer to appreciation of the service or complaints of various types. Then, the system analyzes the extracted content and provides feedback to the service providers, making them learning and acting on this basis."

mFHAST Implications: Effectiveness in using SMS for collection of patient quality perception data.

Study RegionItaly
OrganizationUniversity of Pavia, Italy
Issue or ProblemGathering patient perception of quality feedback
Tech MediumSMS
Technology DeviceMobile Device
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Categories: Patient Engagement
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