Publications by authors named "Eugenia Lamas"

Artificial Intelligence (AI) has made major progress in recent years in many fields. With regard of medicine however, the utilization of AI raises numerous ethical questions, especially since newer and much more accurate algorithms function as black boxes. A trade-off must then be made between having algorithms being very accurate and effective, and algorithms that are explainable but less proficient.

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Virtual online communities help people in coping with complex health issues, such as those present in patients suffering chronic diseases. Further research is required in order to clarify the impact of sharing of personal experiences on the perception of privacy and confidentiality by patients. We studied the case of Carenity an online social network created in France in 2011 bringing together 300,000 patients across Europe, and selected patients suffering Multiple Sclerosis.

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Traditionally, patient empowerment has been used as a strategy for health promotion. The rise of online communities of patients represents a good example of how patient empowerment occurs, independently of the intervention of existing healthcare providers and insurers, allowing thus a more accurate definition of meaning of this concept. We describe two situations related with the development of health-related social networks: (1) The emergence of a new biomedical research model in which patients lead research, shifting the equilibrium of power from the professionals to research subjects themselves, and (2) The emergence of Lay Crowd-Sourced Expertise in these communities, arising from the daily exchange among patients affected by chronic conditions and their relatives, giving place to a new era of bottom-up data generation, previously unknown in biomedical sciences.

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The emergence of social media on the Internet allows patients to discuss about their chronic diseases within online communities sharing common interests. This allows patients to gather other patients' experience, and gain new knowledge that is usually not shared by healthcare professionals. In this context, further studies are required on the actual impact of the use of social networks on the quality of life of patients participating in these online communities, focusing on the evolving role and impact of Lay Crowdsourced expertise (LCE) in improving disease management and control.

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A characteristic feature of the development of health-related social networks is the emergence of internet-based virtual communities, composed of patients. These communities go beyond the mere interchange of information concerning their conditions, intervening in the planning and execution of clinical research, including randomised controlled trials, in collaboration with health professionals. That was the case, in 2009, when patients suffering amyotrophic lateral sclerosis, a rare and severe disease, conducted a clinical trial in USA, organising themselves through an online platform.

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The aim of this study was to focus on the ethical and social issues derived from the implementation of transtelephonic electrocardiography (TTECG) in the public healthcare sector in Chile, studying patients and healthcare providers' acceptance and expectations concerning: (a) TTECG effectiveness and safety; and (b) data protection issues, such as confidentiality, privacy and security. For this purpose, we developed two psychosocial surveys; the first was addressed to patients receiving transtelephonic electrocardiogram (either in the emergency services of hospitals or in distant primary care services) and the second one aimed at healthcare providers involved in either administering and/or interpreting it. Results included: (a) major acceptability of TTECG in terms of safety and security; (b) privacy and confidentiality of the patients were considered to be well protected; and (c) the patient-doctor relationship was not affected by this device.

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Research derived from the application of information and communication technologies in medicine operates in a context involving the globalization of collecting, sharing, storage, transfer and re-use of personal health data. Health data computerization within Clinical Information Systems (as Electronic Healthcare Records) should allow the re-use of health data for clinical research and public health purposes. One of the objects allowing the integration of healthcare and research information systems is the health data-warehouse (DWH).

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Personal health monitoring (PHM) can be defined as comprising all technical systems, processing, collecting, and storing of data linked to a person. PHM involves several legal issues that are described in this paper. This article analyses firstly the short term actions that are needed at the European level to allow personal health monitoring in respect of the interests and rights of patients such as the need to have more harmonised medical liability rules at the EU level.

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The European project European and Latin American Systems of Ethics Regulation of Biomedical Research Project (EULABOR) has carried out the first comparative analysis of ethics regulation systems for biomedical research in seven countries in Europe and Latin America, evaluating their roles in the protection of human subjects. We developed a conceptual and methodological framework defining 'ethics regulation system for biomedical research' as a set of actors, institutions, codes and laws involved in overseeing the ethics of biomedical research on humans. This framework allowed us to develop comprehensive national reports by conducting semi-structured interviews to key informants.

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We applied automatic quantitative fluorescence imaging of nuclear DNA to rat liver cells obtained from animals at various times after birth up to 3 months of age. We show that, in conditions best preserving the native cellular structures, DNA content measurements, performed on whole single cells in situ after Hoechst staining, were precise and accurate. Cells in the various ploidy and nuclearity classes could thus be identified correctly and their percentages were estimated on a total of 300 cells or more.

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