57 research outputs found

    Artificial intelligence for smart patient care: transforming future of nursing practice

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    Artificial intelligence (AI) in today’s era has been described as “the new electricity” as it continually transforms today’s world by affecting our way of living in many different spheres. Extensive government programs in most countries and enhanced technology investments thereof are set to rapidly advance AI. Consequently, healthcare teams will be majorly affected by intelligent tools and systems to be launched into healthcare and patient homecare settings. AI represents a variety of functions under an umbrella of terms like machine learning (ML), deep learning, computer vision, natural language processing (NLP) and automated speech recognition (ASR) technologies. Each of these when used individually or in combination has the potential to add intelligence to applications. Understanding of AI in medical field is crucial for nurses. Utilization of AI in nursing will accelerate innovation and fasten up decision making for them thus saving their time and improving patient outcome plus satisfaction with nursing care provided. Of utmost importance while partnering with AI is the requirement for AI to be safe and effective. A major concern for AI practitioners in the current scenario is managing bias. To realize the full potential of AI, stakeholders (AI developers and users) need to be confident about two aspects: (1) reliability and validity of the datasets used and (2) transparency of AI based system. Issues encompassing AI are novel yet complex, and there is still much to be learnt about it. Nursing experience, knowledge, and skills will transit into new ways of thinking and processing information. This will give new roles to nurses-like information integrators, data managers, informatics specialists, health coaches and above all deliverers of compassionate caring-not replaced by AI technologies yet supported by them

    Impact of Covid-19 on Mental Health among Healthcare Workers in India: A Mixed-Methods Systematic Review

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    Healthcare workers (HCWs) experienced significant mental health challenges during the COVID-19 pandemic. This review aimed comprehensively assess the impact of the COVID-19 pandemic on the mental health of HCWs in India. A mixed-methods review adopted a results-based convergent approach incorporating quantitative and qualitative data. A comprehensive literature search was conducted in relevant databases: PubMed-MEDLINE, CINAHL, Web of Science, and ProQuest. All available full-text studies in the English language that assessed the mental health outcomes (anxiety, stress, depression) of HCWs during the pandemic and published till February 28, 2022, were included. A total of 31 studies were included in this review (27 quantitative studies, three qualitative studies, and one mixed-method study). The pooled prevalence of depression, anxiety, and stress was 32.96%, 29.49%, and 33.47 %, respectively among the HCWs in India. The qualitative analysis resulted in the themes: challenges faced, and coping strategies used during the COVID-19 pandemic. Integration of quantitative and qualitative findings using social determinants of health framework resulted in various contributing factors and coping strategies. There is a need for a supportive work environment, mental health support, and mental health policies for HCWs in India

    In vitro production of bovine embryos derived from individual donors in the CorralÂź dish

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    Background: Since the identity of the embryo is of outmost importance during commercial in vitro embryo production, bovine oocytes and embryos have to be cultured strictly per donor. Due to the rather low yield of oocytes collected after ovum pick-up (OPU) per individual cow, oocyte maturation and embryo culture take place in small groups, which is often associated with inferior embryo development. The objective of this study was to improve embryonic development in small donor groups by using the Corral (R) dish. This commercial dish is designed for human embryo production. It contains two central wells that are divided into quadrants by a semi-permeable wall. In human embryo culture, one embryo is placed per quadrant, allowing individual follow-up while embryos are exposed to a common medium. In our study, small groups of oocytes and subsequently embryos of different bovine donors were placed in the Corral (R) dish, each donor group in a separate quadrant. Results: In two experiments, the Corral (R) dish was evaluated during in vitro maturation (IVM) and/or in vitro culture (IVC) by grouping oocytes and embryos of individual bovine donors per quadrant. At day 7, a significantly higher blastocyst rate was noted in the Corral (R) dish used during IVM and IVC than when only used during IVM (12.9% +/- 2.10 versus 22.8% +/- 2.67) (P < 0.05). However, no significant differences in blastocyst yield were observed anymore between treatment groups at day 8 post insemination. Conclusions: In the present study, the Corral (R) dish was used for in vitro embryo production (IVP) in cattle; allowing to allocate oocytes and/or embryos per donor. As fresh embryo transfers on day 7 have higher pregnancy outcomes, the Corral (R) dish offers an added value for commercial OPU/IVP, since a higher blastocyst development at day 7 is obtained when the Corral (R) dish is used during IVM and IVC

    A Bayesian view of murine seminal cytokine networks

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    It has long been established that active agents in seminal fluid are key to initiating and coordinating mating-induced immunomodulation. This is in part governed by the actions of a network of cytokine interactions which, to date, remain largely undefined, and whose interspecific evolutionary conservation is unknown. This study applied Bayesian methods to illustrate the interrelationships between seminal profiles of interleukin (IL)-1alpha, IL-1beta, IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12 (p70), IL-13, IL-17, eotaxin, granulocyte-colony stimulating factor (G-CSF), granulocyte macrophage-colony stimulating factor (GM-CSF), interferon (IFN)-gamma, keratinocyte-derived chemokine (KC), monocyte chemoattractant protein (MCP-1), macrophage inflammatory protein (MIP-1) alpha, MIP-1beta, regulated on activation normal T cell expressed and secreted (RANTES), tumour necrosis factor (TNF)-alpha, leptin, inducible protein (IP)-10 and vascular endothelial growth factor (VEGF) in a rat model. IL-2, IL-9, IL-12 (p70), IL-13, IL-18, eotaxin, IFN-gamma, IP-10, KC, leptin, MCP-1, MIP-1alpha and TNF-alpha were significantly higher in serum, whilst IL-1beta, IL-5, IL-6, IL-10, IL-17, G-CSF and GM-CSF were significantly higher in seminal fluid. When compared to mouse profiles, only G-CSF was present at significantly higher levels in the seminal fluid in both species. Bayesian modelling highlighted key shared features across mouse and rat networks, namely TNF-alpha as the terminal node in both serum and seminal plasma, and MCP-1 as a central coordinator of seminal cytokine networks through the intermediary of KC and RANTES. These findings reveal a marked interspecific conservation of seminal cytokine networks

    A Preliminary Mixed-Method Investigation of Trust and Hidden Signals in Medical Consultations.

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    Background Several factors influence patients' trust, and trust influences the doctor-patient relationship. Recent literature has investigated the quality of the personal relationship and its dynamics by considering the role of communication and the elements that influence trust giving in the frame of general practitioner (GP) consultations. Objective We analysed certain aspects of the interaction between patients and GPs to understand trust formation and maintenance by focusing on communication channels. The impact of socio-demographic variables in trust relationships was also evaluated. Method A cross-sectional design using concurrent mixed qualitative and quantitative research methods was employed. One hundred adults were involved in a semi-structured interview composed of both qualitative and quantitative items for descriptive and exploratory purposes. The study was conducted in six community-based departments adjacent to primary care clinics in Trento, Italy. Results The findings revealed that patients trusted their GP to a high extent by relying on simple signals that were based on the quality of the one-to-one communication and on behavioural and relational patterns. Patients inferred the ability of their GP by adopting simple heuristics based mainly on the so-called social \u201chonest signals\u201d rather than on content-dependent features. Furthermore, socio-demographic variables affected trust: less literate and elderly people tended to trust more. Conclusions This study is unique in attempting to explore the role of simple signals in trust relationships within medical consultation: people shape trust and give meaning to their relationships through a powerful channel of communication that orbits not around words but around social relations. The findings have implications for both clinicians and researchers. For doctors, these results suggest a way of thinking about encounters with patients. For researchers, the findings underline the importance of analysing some new key factors around trust for future investigations in medical practice and education
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