HUSP: A Smart Haptic Probe for Reliable Training in Musculoskeletal Evaluation Using Motion Sensors.

As a consequence of the huge development of IMU (Inertial Measurement Unit) sensors based on MEMS (Micro-Electromechanical Systems), innovative applications related to the analysis of human motion are now possible. In this paper, we present one of these applications: a portable platform for training in Ultrasound Imaging-based musculoskeletal (MSK) exploration in rehabilitation settings. Ultrasound Imaging (USI) in the diagnostic and treatment of MSK pathologies offers various advantages, but it is a strongly operator-dependent technique, so training and experience become of fundamental relevance for rehabilitation specialists. The key element of our platform is a replica of a real transducer (HUSP-Haptic US Probe), equipped with MEMS based IMU sensors, an embedded computing board to calculate its 3D orientation and a mouse board to obtain its relative position in the 2D plane. The sensor fusion algorithm used to resolve in real-time the 3D orientation (roll, pitch and yaw angles) of the probe from accelerometer, gyroscope and magnetometer data will be presented. Thanks to the results obtained, the integration of the probe into the learning platform allows a haptic sensation to be recreated in the rehabilitation trainee, with an attractive performance/cost ratio.

[Preventable adverse drug events in hospitalized patients]. / Acontecimientos adversos prevenibles causados por medicamentos en pacientes hospitalizados.

BACKGROUND AND OBJECTIVE: To determine the incidence of adverse drug events (ADE) in hospitalized patients, identify those that were potentially preventable, and asses the drug classes involved, the clinical symptoms and the type of medication errors that led to the preventable ADE. PATIENTS AND METHOD: An observational study of ADE prevalence in hospitalized patients in internal medicine, pneumology, gastroenterology, nephrology and neurology wards, over a six-month period, at a tertiary university hospital. ADE were prospectively detected through physician and nurses reporting fostered by daily visits of a clinical research and retrospectively through review of medical records using event codes as defined by the IDC-9-CM system. RESULTS: In a total of 2,643 hospitalized patients, 191 (7.2%) ADE were detected. Of these, 38 cases (19.9%) were classified as preventable, of which 21.1% were mild; 60.5% moderate and 18.4% serious or life-threatening. Preventable ADE were frequently associated with anti-infective drugs (22.9%), diuretics (18.8%) and digoxin (16.7%). Inadequate therapy monitoring (28.3%), excessive dosage (21.7%), selection of an inappropriate drug according to patient characteristics and/or to diagnosis (15.0%), lack of prescription of a necessary drug (15.0%) and drug-drug interactions (11.7%) were the most common identified type of errors leading to preventable ADE. CONCLUSIONS: 1.4% of hospitalized patients in medical wards experienced potentially preventable ADE. Healthcare professionals and administrators must be made aware of the scope of this problem so that they will implement effective safety practices directed to reduce the incidence of medication errors, particularly prescription and monitoring errors.