Latest AI and machine learning research in information technology for healthcare professionals.
Electronic Health Records (EHRs) contain a wealth of information about an individual patient's diagnosis, treatment and health outcomes. This information can be leveraged effectively to identify patients who are similar to each for disease diagnosis and prognosis. In recent years, several machine learning methods have been proposed to assessing patient similarity, although the techniques have prim...
Semantic interoperability, a popular research area for electronic health records, can also be a challenge for quality indicators. We analysed attributes and relationships in a diverse set of over 200 healthcare quality indicators and created a searchable ontology. The ontology is intended to help reduce duplication of effort in healthcare quality monitoring. We describe issues with coding the indi...
Professionals working in the multidisciplinary field of eHealth vary in their educational background. However, knowledge in the areas of medicine, eng...
UNLABELLED: Management of heart failure is usually multidisciplinary and collaboration between stakeholders in a dedicated HI network like the HerzMob...
INTRODUCTION: Skin and subcutaneous tissue infections (SSTI) are common conditions that cause avoidable hospitalisation in New Zealand. As part of a p...
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By cal...
Clinical trials are studies designed to assess whether a new intervention is better than the current alternatives. However, most of them fail to recru...
Medical Cyber-Physical Systems (MCPS) are currently a trending topic of research. The main challenges are related to the integration and interoperabil...
The National Surgical Quality Improvement Project (NSQIP) is widely recognized as "the best in the nation" surgical quality improvement resource in th...
In this paper, the authors report on a study aimed at harmonising two nursing terminologies, the Clinical Care Classification (CCC) and the Internatio...
Nowadays a lot of trials for collecting electronic medical records (EMRs) exist. However, structuring data format for EMR is an especially labour-inte...
The emerging penetration of Health IT in Latin America (especially in Brazil) has exacerbated the ever-increasing amount of Electronic Health Record (...
Classifying the defects occurring at the cervical spine provides the basis for surgical treatment planning and therapy recommendation. This process re...
Casemix grouping using procedures classifications has become an important use case for health care terminologies. There are so many different national...
HL7(®) FHIR(®) standard is a new standard aiming to offer more flexible interoperability mechanisms. We present a stand-alone RDF vocabulary as an OWL...