Diagnostic Prediction Using Discomfort Drawings with IBTM

In this paper, we explore the possibility to apply machine learning to make diagnostic predictions using discomfort drawings. A discomfort drawing is an intuitive way for patients to express discomfort and pain related symptoms. These drawings have proven to be an effective method to collect patient data and make diagnostic decisions in real-life practice. A dataset from real-world patient cases is collected for which medical experts provide diagnostic labels. Next, we use a factorized multimodal topic model, Inter-Battery Topic Model (IBTM), to train a system that can make diagnostic predictions given an unseen discomfort drawing. The number of output diagnostic labels is determined by using mean-shift clustering on the discomfort drawing. Experimental results show reasonable predictions of diagnostic labels given an unseen discomfort drawing. Additionally, we generate synthetic discomfort drawings with IBTM given a diagnostic label, which results in typical cases of symptoms. The positive result indicates a significant potential of machine learning to be used for parts of the pain diagnostic process and to be a decision support system for physicians and other health care personnel.Comment: Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, C

Surgical embolectomy for acute massive pulmonary embolism: state of the art

Massive pulmonary embolism (PE) is a severe condition that can potentially lead to death caused by right ventricular (RV) failure and the consequent cardiogenic shock. Despite the fact thrombolysis is often administrated to critical patients to increase pulmonary perfusion and to reduce RV afterload, surgical treatment represents another valid option in case of failure or contraindications to thrombolytic therapy. Correct risk stratification and multidisciplinary proactive teams are critical factors to dramatically decrease the mortality of this global health burden. In fact, the worldwide incidence of PE is 60–70 per 100,000, with a mortality ranging from 1% for small PE to 65% for massive PE. This review provides an overview of the diagnosis and management of this highly lethal pathology, with a focus on the surgical approaches at the state of the art

A core curriculum for the continuing professional development of nurses: Developed by the Education Committee on behalf of the Council on Cardiovascular Nursing and Allied Professions of the ESC

Background: The European Society of Cardiology and the Council on Cardiovascular Nursing and Allied Professions share a vision; to decrease the burden of cardiovascular disease in Europe. Nurses represent the largest sector of the health professional workforce and have a significant contribution to make, which has not yet been fully realised. Recent evidence highlights an association between the level of nurse education and inpatient mortality making this an important topic, particularly as the provision of nurse education in Europe is variable. Aim: To develop a core curriculum to inform the education of nurses following initial qualification for work in cardiovascular settings. Method: A syllabus was developed using published literature, policy documents and existing curricula with expert input from service users, specialist nurses, cardiologists, educationalists and academics. The syllabus formed the framework for the development of the core curriculum. Results: Eight key themes characterise the core curriculum which are presented together with an account of the development process. While the curriculum is not intended to cover all aspects of the highly complex role of the cardiovascular nurse, the themes do exemplify the science and art of nursing and are transferable across different levels of clinical practice and settings. The curriculum functions both as a ‘map’, which identifies key themes to include in nurse education, and as a ‘tool’ to inform educational provision that bridges’ the gap between initial nurse education and advanced specialist practice. Content can be adapted for use to fit the national context and reflects the specific needs, health priorities, legislative and regulatory standards that govern safe nursing practice across different countries. Conclusion: The core curriculum can be used as a learning framework to guide nurse education, in particular the continuing professional education of post-qualifying nurses working in cardiovascular settings. This represents a significant step towards streamlining cardiovascular nurse education in Europ

Expertise and the interpretation of computerized physiological data: implications for the design of computerized monitoring in neonatal intensive care

This paper presents the outcomes from a cognitive engineering project addressing the design problems of computerized monitoring in neonatal intensive care. Cognitive engineering is viewed, in this project, as a symbiosis between cognitive science and design practice. A range of methodologies has been used: interviews with neonatal staff, ward observations and experimental techniques. The results of these investigations are reported, focusing specifically on the differences between junior and senior physicians in their interpretation of monitored physiological data. It was found that the senior doctors made better use of the different knowledge sources available than the junior doctors. The senior doctors were able to identify more relevant physiological patterns and generated more and better inferences than did their junior colleagues. Expertise differences are discussed in the context of previous psychological research in medical expertise. Finally, the paper discusses the potential utility of these outcomes to inform the design of computerized decision support in neonatal intensive care