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Big Variety challenges for alert generation can involve correlation among alert generators such as IDSs that can have many different formats for their alert messages or event data.
Fig. 6 Alert generation and dispatch methods.
Big Volume and Big Velocity challenges for alert generation can involve correlation with other alerts, events, rules, or knowledge bases.
These enhancements are then applied in the conceptual design of a mobile health alert generation and processing system.
It provides context-aware sensor data fusion (including medical and environmental sensors) and incorporates anomaly detection mechanisms that support Activity of Daily Living (ADL) analysis and alert generation.
Block diagram of the alert generation and dispatch methods Table 3 DTR-ADS scores and standard deviation according to Nielsen methodology [53] Usability Utility Satisfaction Average 8.2 8.6 7.6 Median 7.4 7.2 7.6 Standart deviation 0.9 1.2 1.3.
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Reduction of the QT-alert overload by excluding several drugs from QT-alert generation clearly has unintended and undesirable consequences.
The high number of non-drug-related risk factors that are not included in QT-alert generation could explain these unintended consequences.
After many complaints about low-specificity alerts in the CPOEs, several drugs were excluded from QT-alert generation in May 2007 [ 3, 4] without any outcome measurements.
Although age and gender of the patients are known in our CPOE, these items were not used in QT-alert generation and suppression.
QT-alert generation in Medicatie/EVS was and is only dependent on drug class and is not tailored to at-risk patients, so accuracy remains low.
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