Search results for "Clinical decision support system"
showing 6 items of 26 documents
Artificial intelligence in the diagnosis of pediatric allergic diseases.
2020
Abstract: Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention and wellness, clinical decision support, care delivery, and chronic care management have been identified within the healthcare areas that could benefit from introducing AI. In pediatric allergy research, the recent developments in AI approach provided new perspectives for characterizing the heterogeneity of allergic diseases among patients. Moreover, the increasing use of electronic health records and personal healthcare records highlighted the relevance of AI in …
Expert system for predicting unstable angina based on Bayesian networks
2013
The use of computer-based clinical decision support (CDS) tools is growing significantly in recent years. These tools help reduce waiting lists, minimise patient risks and, at the same time, optimise the cost health resources. In this paper, we present a CDS application that predicts the probability of having unstable angina based on clinical data. Due to the characteristics of the variables (mostly binary) a Bayesian network model was chosen to support the system. Bayesian-network model was constructed using a population of 1164 patients, and subsequently was validated with a population of 103 patients. The validation results, with a negative predictive value (NPV) of 91%, demonstrate its …
Bridging from research evidence to health policy and from health policy to clinical practice: the case of the Spanish strategy for mental health
2009
Introduction: In the last 30 years the Spanish NHS has evolved from a tightly centralized structure to seventeen autonomous regional health systems. As a result a number of benefits have been obtained but also important side-effects such as unjustified variation in clinical practice and a substantial loss of equity. Description: To deal with these unwanted developments the Spanish Inter-territorial Board of the NHS has recently approved and launched several health strategies on priority areas: diabetes, coronary ischemia, palliative care, cancer and mental health. The strategies are based on scientific evidence or consensus and they have been agreed on by all the regions. However, the degre…
Clinical Decision Support System To Prevent Toxicity In Patients Treated With Digoxin
2011
In this chapter, authors develop a system for prevention and detection of congestive heart failure and fibrillation. Due to its narrow therapeutic range more than 10% of the patients treated with DGX can suffer toxic effects, but it is estimated that half of the cases of digitalis toxicity could be prevented. Two multivariate models were developed to prevent digitalis toxicity.
Overvåking av vitale parametere i sykehus : En sammenligning av manuelle og elektroniske overvåkingssystemer
2018
Masteroppgave i helse- og sosialinformatikk HSI500 - Universitetet i Agder 2018 Adverse events can be avoided by timely recognition of derangements in vital signs. Sørlandet Hospital HF (SSHF) has implemented an Early Warning Score System named "TILT"; 2Early identification of life-threatening conditions”. In 2017 SSHF started a project that tested wireless sensors for continuous monitoring of vital signs on wards. Patients were monitored by sensors and vital signs were also measured by traditional means during the project period. The aim of this study was to examine compliance with the vital signs monitoring protocol, and to examine the benefits of an electronic system. The following quest…
Towards a New System for the Assessment of the Quality in Care Pathways: An Overview of Systematic Reviews.
2020
Clinical or care pathways are developed by a multidisciplinary team of healthcare practitioners, based on clinical evidence, and standardized processes. The evaluation of their framework/content quality is unclear. The aim of this study was to describe which tools and domains are able to critically evaluate the quality of clinical/care pathways. An overview of systematic reviews was conducted, according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses, using Medline, Embase, Science Citation Index, PsychInfo, CINAHL, and Cochrane Library, from 2015 to 2020, and with snowballing methods. The quality of the reviews was assessed with Assessment the Methodology of Systemati…