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                    "creatorType": "author",
                    "firstName": "S.",
                    "lastName": "P Nelwan"
                }
            ],
            "abstractNote": "The \"Integrating the Healthcare Enterprise\" (IHE) initiative organized by healthcare professionals and industry has defined an Alarm Communication Management (ACM) profile as part of the Patient Care Device (PCD) domain in order to communicate alarms from patient monitoring and therapeutic devices in a consistent way. The ACM profile may lead to interoperability between systems of different manufacturers and may result in allowing alarm messages to be communicated in a standardized way. We have implemented an extensible, open source framework (C#, ASP.NET) based on the ACM 2008 standard and interfaced our patient monitoring equipment (Draeger Medical), and infusion pumps (Alaris) using several export interfaces (RSS, ESPA, XMPP, SMS, SNPP) available in the intensive care units of the Erasmus MC. The framework can be extended by plug ins for devices that generate alarms and those that display alarms. Alarms can be archived to a SQL server database. The open source framework is available on http://i-put.sourceforge.net. The framework enables new applications which may improve the accuracy of the alarms. Patient monitoring and therapeutic devices at the bedside generate many audible and visual alarms which interrupt care as they require a clinician to review each alarm. Few of the alarms actually represent life threatening events; most result from (slightly) abnormal values or artifacts. These alarms are often presented on different screens, use different sounds and visual effects. Also, to change specific alarm settings, each device needs to be configured separately. Finally, devices do not exchange alarm information with other devices of the same patient, so each device will generate its own stream of alarms. Thus, a single physiological event may trigger different alarms (time, message and/or level) for each attached device. Using the ACM profile can lead to systems which improve the frequency and presentation, as well as the accuracy of these alarms. In conclusion, the presented open source framework of the IHE PCD ACM profile provides a starting point for a centralized, uniformed approach to device alarm management.",
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                    "lastName": "ten Cate"
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            "title": "Clinically relevant QTc prolongation due to overridden drug-drug interaction alerts: a retrospective cohort study",
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                    "firstName": "H.",
                    "lastName": "van der Sijs"
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                {
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                    "firstName": "R.",
                    "lastName": "Kowlesar"
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                {
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                    "firstName": "A.",
                    "lastName": "P J Klootwijk"
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                    "firstName": "S.",
                    "lastName": "P Nelwan"
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                    "firstName": "A.",
                    "lastName": "G Vulto"
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                    "firstName": "T.",
                    "lastName": "van Gelder"
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            "abstractNote": "AIMS: To investigate whether, in patients in whom drug-drug interaction (DDI) alerts on QTc prolongation were overridden, the physician had requested an electrocardiogram (ECG), and if these ECGs showed clinically relevant QTc prolongation. METHODS: For all patients with overridden DDI alerts on QTc prolongation during 6 months, data on risk factors for QT prolongation, drug class and ECGs were collected from the medical record. Patients with ventricular pacemakers, patients treated on an outpatient basis, and patients using the low-risk combination of cotrimoxazole and tacrolimus were excluded. The magnitude of the effect on the QTc interval was calculated if ECGs before and after overriding were available. Changes of the QTc interval in these cases were compared with those of a control group using one QTc-prolonging drug. RESULTS: In 33% of all patients with overridden QTc alerts an ECG was recorded within 1 month. ECGs were more often recorded in patients with more risk factors for QTc prolongation and with more QTc overrides. ECGs before and after the QTc override were available in 29% of patients. Thirty-one percent of patients in this group showed clinically relevant QTc prolongation with increased risk of torsades de pointes or ventricular arrhythmias. The average change in QTc interval was +31 ms for cases and -4 ms for controls. CONCLUSIONS: Overriding the high-level DDI alerts on QTc prolongation rarely resulted in the preferred approach to subsequently record an ECG. If ECGs were recorded before and after QTc overrides, clinically relevant QTc prolongation was found in one-third of cases. ECG recording after overriding QTc alerts should be encouraged to prevent adverse events",
            "publicationTitle": "Br J Clin Pharmacol",
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            "date": "2009",
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                    "lastName": "Finlay"
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            "abstractNote": "In this study we investigate a limited lead system, that reconstructs 12-lead ECGs from leads I, II, V2 and V5, to assess how slight misplacement of recoding electrodes impacts on reconstruction accuracy. The study population consisted of 117 lead body surface potential maps (BSPMs) recorded from 559 subjects (approximately one third normal, one third MI and one third LVH). The BSPMs were interpolated to increase the number of recording sites in the vicinity of V2 and V5. For QRS segments the median RMS error across all reconstructed leads was 220.4 microV, 171.4 microV, 277.8 microV when V2 and V5 were simultaneously moved -50mm vertically, 0mm, and +50mm vertically respectively. For STT segments these values were 66.8 microV, 54.3 microV and 76.9 microV respectively. We observed that during the QRS segment the most accurate reconstruction was at -15mm (RMS error: 154.4 microV). During the STT segment the reconstruction error was at its minimum at -20mm (RMS error: 48.5 microV). A similar increase in performance for STT reconstruction was observed at 15mm (RMS error: 48.6 microV). The median values taken across all leads masked the fact that electrode misplacement affected different reconstructed leads in different ways",
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                    "lastName": "Lipton"
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                    "firstName": "N.",
                    "lastName": "H J J van der Putten"
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                    "creatorType": "author",
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            "abstractNote": "Patients admitted to the Intensive Cardiac Care Unit (ICCU) are closely monitored by different devices. When an abnormality is detected, an alarm is generated. However, most alarms do not signify a life-threatening event. The distribution of alarms by category and over time is not well known, but may provide information on how to improve the accuracy. During a four month period all alarms from the 8-bed ICCU at the Erasmus MC were collected in a database by receiving the pager messages generated by the patient monitoring network. The alarms were subsequently categorized by type, hour and day of week. Over a four month period 34827 alarms were collected during 547 patient admissions with a median (IQR) duration of 6.1(3-23) hours. The most frequent alarm categories were related to mechanical ventilation (42.2%), blood pressure (32.3%), electrocardiogram (9.8%) and heart rate (8.1%). 2750 (7.9%) of the alarms were not limit violation alarms, but technical advisory messages. Main causes of these advisory messages were: ECG artifacts (64.9%), disconnected devices (29.3%) and SpO2 artifacts (1.6%). The mean alarm frequency was 2.2 per patient and 13.4 for the ICCU per hour. The time between alarms varied greatly with a median (IQR) of 1.3 (0.5-4.1) minutes, mainly due to the occurrence of alarm “bursts”: in 50% of the alarms the interval was less than 90 seconds. There was overall decreased alarm frequency during nighttime (0.00 until 6.00) when compared to day: 9.7 vs. 14.6 per hour (P<0.001). A peak in alarm frequency was seen at the time of drawing blood samples from the arterial line and awakening of the patients. Another peak occurred between 8.00 and 10.00 when patients are washed. The alarm frequency during these peaks was 20.3 per hour vs. 12.4 during other hours (P<0.001). There was no difference in frequency of alarms by day of week. Overall alarm frequency on the ICCU was relatively low. However, the distribution over time varied greatly due to the occurrence of alarm “bursts”. Combining the alarms within these “bursts” to display only the most important information could be an interesting target for clinical decision support.",
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