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Predictive Modeling (PM) techniques are gaining importance in the worldwide health insurance business. Modern PM methods are used for customer relationship management, risk evaluation or medical management. This article illustrates a PM approach that enables the economic potential of (cost-)effective disease management programs (DMPs) to be fully exploited by optimized candidate selection as an example of successful data-driven business management. The approach is based on a Generalized Linear Model (GLM) that is easy to apply for health insurance companies. By means of a small portfolio from an emerging country, we show that our GLM approach is stable compared to more sophisticated regression techniques in spite of the difficult data environment. Additionally, we demonstrate for this example of a setting that our model can compete with the expensive solutions offered by professional PM vendors and outperforms non-predictive standard approaches for DMP selection commonly used in the market.
Stuttering is a complex speech disorder identified by repetitions, prolongations of sounds, syllables or words and blockswhile speaking. Specific stuttering behaviour differs strongly,thus needing personalized therapy. Therapy sessions requirea high level of concentration by the therapist. We introduce STAN, a system to aid speech therapists in stuttering therapysessions. Such an automated feedback system can lower the cognitive load on the therapist and thereby enable a more consistent therapy as well as allowing analysis of stuttering over the span of multiple therapy sessions.
Objective
To identify the most important and relevant concepts of daily functioning from the perspective of patients with systemic lupus erythematosus (SLE).
Methods
We conducted a consensus‐building, 3‐round, electronic mail survey with SLE patients using the Delphi technique. The Delphi technique is a structured communication process with 4 key characteristics: anonymity, iteration with controlled feedback, statistical group response, and informed input. The concepts contained in the answers of the patients were extracted and linked to the International Classification of Functioning, Disability and Health (ICF).
Results
Of the total 225 participants, 194 (86.2%) completed the questionnaires from all 3 Delphi rounds. In total, after the third Delphi round, 307 concepts were identified. Ninety concepts (55 in the domain body functions and structures, 16 in activities and participation, and 19 in environmental factors) were considered relevant by at least 50% of the participants in the third round and linked to the ICF. Twelve concepts were considered important by at least 75% of the participants.
Conclusion
The high number of concepts resulting from this large‐scale patient Delphi approach underlines the great variety of SLE patients' problems in daily functioning. The results of this patient Delphi project supplement the findings of our focus‐group study in establishing a comprehensive overview of the patient perspective in SLE.