Digital Illness can be conceptualized as a state of less health resulting from either 'too much' or 'too little' exposure tothe Digital. In order to evaluate the state of health we suggest the use of the Health Index. It will allow us to measure
Anaphylaxis has a growing incidence, especially in children. It represents a medical emergency and its successful therapy depends on early and proper intervention. Intramuscular epinephrine, with dose adjustment according to weight and age, is the drug of choice for anaphylaxis treatment. After resolution of the acute reaction, the patient should be kept under clinical surveillance for 6 to 24 hours, due to possible biphasic reactions. Prescription of an epinephrine auto-injectable device should be considered in all patients with diagnosed or suspected anaphylaxis; additionally these patients should always be referred to an Immunoallergy consultation, to perform adequate investigation and management in order to reduce future risk. All anaphylaxis episodes must be recorded in The Portuguese Catalogue of Allergies and other Adverse Reactions (Catalogo Portugues de Alergias e outras Reacoes Adversas, CPARA), which represents a fundamental tool to share clinical information within the Health System. The present manuscript intends to disclose the most recent Portuguese guidelines for the diagnosis and treatment of anaphylaxis, making its clinical approach more effective and homogeneous, and to promote the use of The Portuguese Catalogue of Allergies and other Adverse Reactions as an essential tool to register and share information on anaphylaxis in Portugal.
The nature and the purpose of the ECRIN Data Centre Certification Programme are summarised, and a very brief description is given of the underlying standards (129 in total, divided into 19 separate lists). The certification activity performed so far is described. In a pilot phase 2 centres were certified in 2012. Calls in 2014 and 2015 resulted in a further 8 certified centres, with 2 certifications still in progress, and the 2016 call has generated several additional applications. The impact and benefits of the programme are listed, divided into a) the effects of the introduction of the standards, b) the effects of the certification programme in general, and c) the effects of the certification programme on individual units. The discussion emphasises the generally positive impact of the programme so far but stresses the need to better clarify the perspective and role of the programme.
Mobile information and communication technologies (MICTs) are widely promoted as increasing the efficiency of work practices in many business sectors, including healthcare. There are numerous types of mobile computing devices available that provide users with capabilities that can be applied in a wide range of different work settings. Case studies of the use of different MICT devices by doctors in different hospital settings indicate that while some doctors easily adopt MICT devices and find them a helpful tool, others encounter problems with their usage and, in fact, a majority do not use MICTs at all. This chapter deals with identification of five factors influencing the uptake of MICTs in clinical work practices and proposes a framework for analysing their interactions with the aim of increasing its uptake in medicine.
Abstract In the wake of Coronavirus disease 2019 (COVID-19), several nations have sought to implement digital vaccine passports (DVPs) to enable the resumption of international travel. Comprising a minimum dataset for each unique individual, DVPs have the makings of a global electronic health record, broaching key issues involved in building a global digital health ecosystem. Debate simulations offer a safe, interactive space to foster participatory policy discussions for advancing digital health diplomacy. This study used an online simulation of a Model World Health Assembly to critically analyze the sociotechnical issues associated with the global implementation of DVPs, and to generate useful insights and questions about the role of diplomacy in global digital health. The debate arguments addressed and provided insights into the technological, scientific, ethical, legal, policy, and societal aspects of DVPs. Reflecting on the simulation, we discuss its opportunities and challenges for the digitalization, decolonization, decentralization, and democratization of participatory policymaking.
Summary Background EHR systems have high potential to improve healthcare delivery and management. Although structured EHR data generates information in machine-readable formats, their use for decision support still poses technical challenges for researchers due to the need to preprocess and convert data into a matrix format. During our research, we observed that clinical informatics literature does not provide guidance for researchers on how to build this matrix while avoiding potential pitfalls. Objectives This article aims to provide researchers a roadmap of the main technical challenges of preprocessing structured EHR data and possible strategies to overcome them. Methods Along standard data processing stages – extracting database entries, defining features, processing data, assessing feature values and integrating data elements, within an EDPAI framework –, we identified the main challenges faced by researchers and reflect on how to address those challenges based on lessons learned from our research experience and on best practices from related literature. We highlight the main potential sources of error, present strategies to approach those challenges and discuss implications of these strategies. Results Following the EDPAI framework, researchers face five key challenges: (1) gathering and integrating data, (2) identifying and handling different feature types, (3) combining features to handle redundancy and granularity, (4) addressing data missingness, and (5) handling multiple feature values. Strategies to address these challenges include: crosschecking identifiers for robust data retrieval and integration; applying clinical knowledge in identifying feature types, in addressing redundancy and granularity, and in accommodating multiple feature values; and investigating missing patterns adequately. Conclusions This article contributes to literature by providing a roadmap to inform structured EHR data preprocessing. It may advise researchers on potential pitfalls and implications of methodological decisions in handling structured data, so as to avoid biases and help realize the benefits of the secondary use of EHR data. Citation: Ferrão JC, Oliveira MD, Janela F, Martins HMG. Preprocessing structured clinical data for predictive modeling and decision support – a roadmap to tackle the challenges.