Filtered By:
Source: Studies in Health Technology and Informatics
This page shows you your search results in order of relevance.
Order by Relevance | Date
Total 8745 results found since Jan 2013.
Using a Markov Chain Model to Analyze the Relationship Between Avoidable Days and Critical Care Capacity.
Authors: Hudson D, Singh G
Abstract
Hospital capacity strain is ubiquitous, and a significant stressor in critical care. Avoidable days (AD) are frequently used as a metric of capacity. Using a Markov chain model, we studied the relationship between AD and surgical cancellations in a cardiovascular ICU. The model varied the probability of discharging a patient to study this effect over a pool of 108 simulated patients with length of stay data reflecting the actual population. The model behaved as expected with decreasing AD with increasing probability of patient discharge. However, there was no effect on the surgic...
Source: Studies in Health Technology and Informatics - February 13, 2019 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research
Improving Fluid Management in Critical Care - Towards the ICU of the Future.
CONCLUSION: Smart devices and decision support systems can improve fluid management. Several technologies, which today are sometimes still considered to be futuristic, are in fact not that far away or already available. However, they need proper implementation with respect to intensivists', nurses' and patients' needs.
PMID: 29726418 [PubMed - in process]
Source: Studies in Health Technology and Informatics - May 8, 2018 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research
Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE).
CONCLUSIONS: Our approach has great potential to establish our vision of learning systems, which support decision-making in PICU by analyzing cross-institutional data and giving insights back to both, their own knowledge base and clinical care, to continuously learn about practices and evidence in Pediatrics.
PMID: 29968614 [PubMed - in process]
Source: Studies in Health Technology and Informatics - July 4, 2018 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research
Connecting Parents to a Pediatric Emergency Department: Designing a Mobile App Based on Patient Centred Care Principles.
CONCLUSION: Our mobile app allows to make a big step toward the improvement of the patient-caregiver relationship. The direct benefits will be shared by patients and caregivers, as well as the institution.
PMID: 29039368 [PubMed - in process]
Source: Studies in Health Technology and Informatics - October 20, 2017 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research
Adapting Guidelines for Google Glass: the Case of Pediatric CPR.
Authors: Ehrler F, Siebert J, Haddad K, Sahin A, Schrurs P, Diener R, Gervaix A, Manzano S, Lovis C
Abstract
Early recognition and management of patients at risk and more aggressive implementation of evidence-based resuscitation guidelines play a role to the reduction of patients' mortality. If, in paediatric emergency department, the proper adherence to the paediatric cardiac arrest guidelines is critical to increase the chance of survival, this adherence is unfortunately often suboptimal. Connected glasses, such as the Google Glass, offer an interesting support to provide guidelines at the point of care. However,...
Source: Studies in Health Technology and Informatics - May 27, 2016 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research
Secur-e-Health Project: Towards Federated Learning for Smart Pediatric Care
Stud Health Technol Inform. 2023 May 18;302:516-520. doi: 10.3233/SHTI230196.ABSTRACTThe application of machine learning (ML) algorithms to electronic health records (EHR) data allows the achievement of data-driven insights on various clinical problems and the development of clinical decision support (CDS) systems to improve patient care. However, data governance and privacy barriers hinder the use of data from multiple sources, especially in the medical field due to the sensitivity of data. Federated learning (FL) is an attractive data privacy-preserving solution in this context by enabling the training of ML models with ...
Source: Studies in Health Technology and Informatics - May 19, 2023 Category: Information Technology Authors: Rita Rb-Silva Xavier Ribeiro Francisca Almeida Carolina Ameijeiras-Rodriguez Julio Souza Luis Concei ção Tiago Taveira-Gomes Goreti Marreiros Alberto Freitas Source Type: research
