Publicaciones: Presentaciones de Congresos
Video Form
Global Undernutrition
October 2010|ESICM, Barcelona, Spain
Decreased food intake is a risk factor for mortality in hospitalised patients. This presentation explores the impact of a computerized information system on the quality of nutritional support in the ICU.
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Using technology to improve patient safety - telemedicine, the electronic medical record, and CPOE
May 2006|AtlantiCare 8th Annual Trauma Symposium
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Decision support system increases data quality on preoperative record
October 2006|ASA, Chicago, USA
Anesthesia information management systems allow for direct data quality control by making fields mandatory. In this study, this improved the quality of data that was entered and allowed for more accurate identification of patients entitled to PONV prophylaxis
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Anesthesia Information System and guideline adherence in prescribing PONV prophylaxis
June 2006|ESA, Madrid, Spain
PONV prevention guideline adherence can greatly be improved, since only a small proportion of patients at high risk for PONV are prescribed PONV prophylaxis. Since AIMS allow for identification of patients that would benefit from a specific therapy, added functionality to these systems (e.g. decision support) may improve guideline adherence significantly.
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Introducing computerized alert systems into clinical practice in the OR and ICU
September 2005|ESCTAIC
Computerized clinical decision support systems increase the value of electronic medical records by linking knowledge and patient data to generate alerts and reminders. These tools can enhance human vigilance, prevent infrequent but predictable slips and errors, and improve patient safety.
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Implementation of a PDMS in an intensive care environment
June 2003|Nursing Informatics Conference
A PDMS has many advantages, it provides support in nursing care and may prove to be a valuable instrument to improve the quality of ICU care. However, during the acquisition process many aspects have to be taken into account. Furthermore, the implementation process requires careful planning in order to be accepted by the medical and nursing staff and ultimately successful.
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Implementation of a computerized data management program in the ICU
March 2003
A paperless documentation data collection program in a 10-bed ICU can be implemented in a relatively short period with no major difficulties.
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Using a CIS to assist burns' fluid management
September 2001|a poster at ESICM 2001, Geneva, Switzerland
CIS provided precise data on fluid delivery and balance, which enabled a closer estimation of the insensible losses, thereby enabling prediction of next day’s free water requirements.
Knowing the value of the previous 24 hour calculated insensible losses (EEL) was helpful information for the next day’s free water prescription. CIS may contribute to tighter fluid management, thereby improving quality of burn’s resuscitation.
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Impact of a CIS on nutritional support
January 2001|8th World Congress of Critical Care Medicine
Improved nutritional support was observable after the introduction of CIS in the burn unit.
CIS facilitates nutritional follow-up - gain on time on energy calculation, structured prescription, easy observation of delivered nutrients - and eased its monitoring. The CIS has increased quality of nutritional care, by forcing standardisation of prescription, changes are associated with a better follow up, and nutrient delivery closer to energy target.
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An object-oriented tool for clinical queries
November 2000|AMIA Annual Symposium
Clinical data repositories are viewed as digital goldmines for both clinical researchers and managed care utilization reviewers. Querying the data is, nevertheless, challenging due to the heterogeneity of the sources and the lack of intuitive interfaces for question makers. The article presents a prototype of a query tool that uses the object metaphor to make sense to users and database administrators alike.
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Making ICU alarms meaningful
November 1999|AMIA Annual Symposium
In a world where large investments are made to integrate clinical data repositories and to provide better consolidation of patient data, there may be a place for the first steps of “smart” systems that utilize real time data to prevent patient morbidity.
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