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  1. Article ; Online: Future of Medical Decision Support Systems

    Kose, Utku / Deperlioglu, Omer / Alzubi, Jafar / Patrut, Bogdan

    Deep Learning for Medical Decision Support Systems

    Abstract: ... to focus on some insights regarding future of medical decision support systems. ... decision support systems. There are of course many more research aspects to be discussed but if is also a good approach ... effective use of deep learning for diagnosis of important diseases, as they are base for the medical ...

    Abstract After having an introduction to the essential topics, the previous chapters have all provided effective use of deep learning for diagnosis of important diseases, as they are base for the medical decision support systems. There are of course many more research aspects to be discussed but if is also a good approach to focus on some insights regarding future of medical decision support systems.
    Keywords covid19
    Publisher PMC
    Document type Article ; Online
    DOI 10.1007/978-981-15-6325-6_10
    Database COVID19

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  2. Book ; Online ; E-Book: Future health scenarios

    Sousa, Maria José

    AI and digital technologies in global healthcare systems

    (Advances in Smart Healthcare Technologies)

    2023  

    Abstract: ... Future health scenarios are constituted by technologies in health, and clinical decision-making systems ... professionals and graduate students in computer science, artificial intelligence, decision support, healthcare ... digital technologies in enabling global healthcare systems to respond to urgent 21st century challenges ...

    Author's details Maria José Sousa [and three thers]
    Series title Advances in Smart Healthcare Technologies
    Abstract "Digital technologies are a major sector to invest and research in new models of health management. Future health scenarios are constituted by technologies in health, and clinical decision-making systems. This book provides unique multidisciplinary approach for exploring the potential contribution of AI and digital technologies in enabling global healthcare systems to respond to urgent 21st century challenges. Deep analysis has been made regarding telemedicine using big data, deep learning, robotics, mobile and remote applications. Features: Focusses on prospective scenarios in health to foresight possible futures. Addresses the urgent needs of the key population, socio-technical, and health themes. Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, AI robot for heart treatments. Explores telemedicine using big data, deep learning, robotics, mobile and remote applications. Reviews public health based on predictive analytics and disease trends. This book is aimed at researchers, professionals and graduate students in computer science, artificial intelligence, decision support, healthcare technology management, biomedical engineering, and robotics"--
    Keywords Artificial intelligence/Medical applications ; Artificial intelligence/Safety measures
    Subject code 610.28563
    Language English
    Size 1 online resource (291 pages)
    Publisher CRC Press, Taylor & Francis Group
    Publishing place Boca Raton, FL
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 1-00-322789-9 ; 1-003-22789-9 ; 1-000-87323-4 ; 1-03-213149-7 ; 978-1-00-322789-2 ; 978-1-003-22789-2 ; 978-1-000-87323-8 ; 978-1-03-213149-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Pediatric and Adolescent Nephrology Facing the Future: Diagnostic Advances and Prognostic Biomarkers in Everyday Practice

    Taranta-Janusz, Katarzyna / Musiał, Kinga

    2022  

    Keywords Medicine ; Clinical & internal medicine ; chronic kidney disease ; cytokines ; solitary functioning kidney ; tumor necrosis factor-like weak inducer of apoptosis ; netrin-1 ; renal tubular damage ; premature newborns ; overactive bladder ; urinary microbiome ; children ; adolescents ; cystatin C ; galectin-3 ; periostin ; primary hypertension ; arterial damage ; blood pressure ; neurogenic bladder ; myelomeningocele ; markers ; furosemide stress test ; hyperfiltration ; [IGFBP-7] × [TIMP-2] ; NGAL ; renal angina index ; renal functional reserve ; tubular damage ; tubuloglomerular feedback ; neurotrophins ; transcutaneous electrical nerve stimulation ; hemopexin ; nephrotic syndrome ; HNF1B ; hyperuricemia ; PTH ; renal function ; uric acid ; FEUA ; sclerostin ; obesity ; childhood ; dental caries ; gingivitis ; kidney injury ; glomerulopathy ; glomerular injury ; alpha-1 acid glycoprotein ; urinary mRNA expression of podocyte-associated proteins ; cathepsin B ; premature neonates ; immaturity ; NT-proBNP ; cardiovascular disease ; common carotid artery intima-media thickness ; bone morphogenetic protein (BMP)-2 ; bone morphogenetic protein (BMP)-6 ; extracellular matrix metalloproteinases inducer (EMMPRIN) ; macrophage migration inhibitory factor (MIF) ; tubular functional reserve ; cytokeratin-18 ; endoglin ; transforming growth factor-β1 ; renal fibrosis ; congenital obstructive nephropathy ; diabetic kidney disease ; vascular endothelial markers ; eGFR ; adenine nucleotide metabolites ; chronic renal failure ; antibiotic resistance ; Escherichia coli ; inflammatory markers ; urinary tract infection ; B2M ; cancer ; CCS ; CKD ; nephropathies ; renal toxicity ; voiding cystography ; infection ; urinary tract ; IgA nephropathy ; IgA vasculitis with nephritis ; vanin-1 ; biomarker ; urinary tract infections ; artificial intelligence ; machine learning ; medical decision support system ; n/a
    Language English
    Size 1 electronic resource (304 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030380023
    ISBN 9783036559742 ; 3036559744
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: The future of genetic diagnosis – from research to clinical practice

    Deutscher Ethikrat

    opinion

    2013  

    Abstract: Knowledge can be helpful, but it can also become a burden. This applies in particular to medical ... the conduct of genetic tests for non-medical purposes. It also calls for improved, EU-wide measures to provide ... of the pregnant woman and making it easier for parents of children with disabilities to access possibilities of support. ...

    Author's details published by the German Ethics Council
    Abstract Knowledge can be helpful, but it can also become a burden. This applies in particular to medical relevant information obtained from genetic diagnosis. To counteract these negative effects, the German Ethics Council recommends 23 measures for the improvement of information, explanation, and counseling, on the basis of the right of informational self-determination of people affected by a genetic test.The German Ethics Council calls for improvements in the provision of information to the public, in the training of healthcare professionals and in the quality of genetic tests and their funding within the healthcare system. Furthermore, it recommends a number of amendments to the Genetic Diagnosis Act concerning the screening of newborns and the conduct of genetic tests for non-medical purposes. It also calls for improved, EU-wide measures to provide for independent consumer information and for patient and consumer protection. Considering prenatal diagnosis in cases of increased risk of a disorder of genetic origin, the German Ethics Council could not make a unanimous decision. Nonetheless, the council calls for taking account of the particular emotional situation of the pregnant woman and making it easier for parents of children with disabilities to access possibilities of support.
    Subject code 610
    Language English
    Size 1 Online-Ressource (191 Seiten)
    Publisher Deutscher Ethikrat
    Publishing place Berlin
    Publishing country Germany
    Document type Book ; Online
    Note Open Access
    HBZ-ID HT030369204
    ISBN 978-3-941957-55-8 ; 3-941957-55-4
    DOI 10.4126/FRL01-006473028
    Database Repository for Life Sciences

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  5. Article: A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities.

    Moreira, Alvaro G / Husain, Ameena / Knake, Lindsey A / Aziz, Khyzer / Simek, Kelsey / Valadie, Charles T / Pandillapalli, Nisha Reddy / Trivino, Vanessa / Barry, James S

    Frontiers in pediatrics

    2024  Volume 12, Page(s) 1221863

    Abstract: ... data, applying machine learning algorithms, and implementing clinical decision support systems ... clinically relevant BPD phenotypes and developing clinical decision support tools to improve the management ... This review highlights the current barriers and the future potential of clinical informatics in identifying ...

    Abstract Bronchopulmonary dysplasia (BPD) is a complex, multifactorial lung disease affecting preterm neonates that can result in long-term pulmonary and non-pulmonary complications. Current therapies mainly focus on symptom management after the development of BPD, indicating a need for innovative approaches to predict and identify neonates who would benefit most from targeted or earlier interventions. Clinical informatics, a subfield of biomedical informatics, is transforming healthcare by integrating computational methods with patient data to improve patient outcomes. The application of clinical informatics to develop and enhance clinical therapies for BPD presents opportunities by leveraging electronic health record data, applying machine learning algorithms, and implementing clinical decision support systems. This review highlights the current barriers and the future potential of clinical informatics in identifying clinically relevant BPD phenotypes and developing clinical decision support tools to improve the management of extremely preterm neonates developing or with established BPD. However, the full potential of clinical informatics in advancing our understanding of BPD with the goal of improving patient outcomes cannot be achieved unless we address current challenges such as data collection, storage, privacy, and inherent data bias.
    Language English
    Publishing date 2024-02-12
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2024.1221863
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: ChatGPT and the Future of Digital Health

    Mohamad-Hani Temsah / Fadi Aljamaan / Khalid H. Malki / Khalid Alhasan / Ibraheem Altamimi / Razan Aljarbou / Faisal Bazuhair / Abdulmajeed Alsubaihin / Naif Abdulmajeed / Fatimah S. Alshahrani / Reem Temsah / Turki Alshahrani / Lama Al-Eyadhy / Serin Mohammed Alkhateeb / Basema Saddik / Rabih Halwani / Amr Jamal / Jaffar A. Al-Tawfiq / Ayman Al-Eyadhy

    Healthcare, Vol 11, Iss 1812, p

    A Study on Healthcare Workers’ Perceptions and Expectations

    2023  Volume 1812

    Abstract: ... such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5 ... the future of healthcare systems. Nevertheless, concerns about credibility and the source of information ... and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact ...

    Abstract This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs’ familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots.
    Keywords ChatGPT ; artificial intelligence ; healthcare workers ; perception ; AI chatbots ; medicolegal implications ; Medicine ; R
    Subject code 360
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: The future of Cochrane Neonatal.

    Soll, Roger F / Ovelman, Colleen / McGuire, William

    Early human development

    2020  Volume 150, Page(s) 105191

    Abstract: ... shifting missions of clinical neonatology at academic medical institutions, at least in the United States ... to complex systems of care and not the simple single interventions. Even trials that might traditionally have ... in reality complex challenges to the ability of institutions to create systems to adapt to these new ...

    Abstract Cochrane Neonatal was first established in 1993, as one of the original review groups of the Cochrane Collaboration. In fact, the origins of Cochrane Neonatal precede the establishment of the collaboration. In the 1980's, the National Perinatal Epidemiology Unit at Oxford, led by Dr. Iain Chalmers, established the "Oxford Database of Perinatal Trials" (ODPT), a register of virtually all randomized controlled trials in perinatal medicine to provide a resource for reviews of the safety and efficacy of interventions used in perinatal care and to foster cooperative and coordinated research efforts in the perinatal field [1]. An effort that was clearly ahead of its time, ODPT comprised four main elements: a register of published reports of trials; a register of unpublished trials; a register of ongoing and planned trials; and data derived from pooled overviews (meta-analyses) of trials. This core effort grew into the creation of the seminal books, "Effective Care in Pregnancy and Childbirth" as well as "Effective Care of the Newborn Infant" [2,3]. As these efforts in perinatal medicine grew, Iain Chalmers thought well beyond perinatal medicine into the creation of a worldwide collaboration that became Cochrane [4]. The mission of the Cochrane Collaboration is to promote evidence-informed health decision-making by producing high-quality, relevant, accessible systematic reviews and other synthesized research evidence (www.cochrane.org). Cochrane Neonatal has continued to be one of the most productive review groups, publishing between 25 tpo to 40 new or updated systematic reviews each year. The impact factor has been steadily increasing over four years and now rivals most of the elite journals in pediatric medicine. Cochrane Neonatal has been a worldwide effort. Currently, there are 404 reviews involving 1206 authors from 52 countries. What has Cochrane done for babies? Reviews from Cochrane Neonatal have informed guidelines and recommendations worldwide. From January 2018 through June 2020, 77 international guidelines cited 221 Cochrane Neonatal reviews. These recommendations have included recommendations of the use of postnatal steroids, inhaled nitric oxide, feeding guidelines for preterm infants and other core aspects of neonatal practice. In addition, Cochrane Reviews has been the impetus for important research, including the large-scale trial of prophylactic indomethacin therapy, a variety of trials of postnatal steroids, trials of emollient ointment and probiotic trials [6]. While justifiably proud of these accomplishments, one needs to examine the future contribution of Cochrane Neonatal to the neonatal community. The future of Cochrane Neonatal is inexorably linked to the future of neonatal research. Obviously, there is no synthesis of trials data if, as a community, we fail to provide the core substrate for that research. As we look at the current trials' environment, fewer randomized controlled trial related to neonates are being published in recent years. A simple search of PubMed, limiting the search to "neonates" and "randomized controlled trials" shows that in the year 2000, 321 randomized controlled trials were published. These peaked five years ago, in 2015, with close to 900 trials being published. However, in 2018, only 791 studies are identified. Does this decrease represent a meaningful change in the neonatal research environment? Quite possibly. There are shifting missions of clinical neonatology at academic medical institutions, at least in the United States, with a focus on business aspects as well as other important competing clinical activities. Quality improvement has taken over as one of the major activities at both private and academic neonatal practices. Clearly, this is a needed improvement. All units at levels need to be dedicated to improving the outcomes of the sick and fragile population we care for. However, this need not be at the expense of formal clinical trials. It is understandable that this approach would be taken. Newer interventions frequently relate to complex systems of care and not the simple single interventions. Even trials that might traditionally have been done as randomized controlled trials, such as the introduction of a new mode of ventilation, are in reality complex challenges to the ability of institutions to create systems to adapt to these new technologies. Cost of doing trials has always been a barrier. The challenging regulatory and ethical environment contributes to these problems as well [7]. Despite these barriers, how does the research agenda of the neonatal community move forward in the 21st Century? We need to reassess how we create and disseminate our research findings. Innovative trial designs will allow us to address complex issues that we may not have tackled with conventional trials. Adaptive designs may allow us to look at potentially life-saving therapies in a way that feel more efficient and more ethical [8]. Clarifying issues such as the use of inhaled nitric oxide in preterm infants would be greatly served if we even knew whether or not there are hypoxemic preterm infant who would benefit from this therapy [9]. Current trials do not suggest so, yet current practice tells us that a significant number of these babies will receive inhaled nitric oxide [10-13]. Adaptive design, such as those done with trials of extracorporeal membrane oxygenation (ECMO), would allow us to quickly assess whether, in fact, these therapies are life-saving and allow us to consider whether or not further trials are needed [14,15]. Our understanding that many interventions involve entire systems approaches does not relegate us only to doing quality improvement work. Cluster designs may allow us to test more complex interventions that have usually been under the purview of quality improvement [16-18]. Cluster trials are well suited for such investigations and can be done with the least interruption to ongoing care. Ultimately, quality improvement is the application of the best evidence available (evidence-based medicine is "what to do" and evidence-based practice is "how to do"). [19,20]. Nascent efforts, such as the statement on "embedding necessary research into culture and health" (the ENRICH statement) call for the conduct of large, efficient pragmatic trials to evaluate neonatal outcomes, as in part called for in the ALPHA Collaboration [21,22]. This statement envisions an international system to identify important research questions by consulting regularly with all stakeholders, including patients, public health professionals, researchers, providers, policy makers, regulators, funders of industry. The ENRICH statement envisions a pathway to enable individuals, educational institutions, hospitals and health-care facilities to confirm their status as research-friendly by integrating an understanding of trials, other research and critical thinking and to teaching learning and culture, as well as an engagement with funders, professional organizations and regulatory bodies and other stake holders to raise awareness of the value of efficient international research to reduce barriers to large international pragmatic trials and other collaborative studies. In the future, if trials are to be done on this scale or trials are prospectively designed to be analyzed together, core outcome measures must be identified and standardized. That clinical trials supply estimates of outcomes that are relevant to patients and their families is critical. In addition, current neonatal research evaluates many different outcomes using multiple measures. A given measure can have multiple widely used definitions. Bronchopulmonary dysplasia (or chronic lung disease just to add to the confusion) quickly comes to mind [23,24]. The use of multiple definitions when attempting to measure the same outcome prevents synthesis of trial results and meta-analysis and hinders efforts to refine our estimates of effects. Towards that end, Webbe and colleagues have set out to develop a core outcome set for neonatal research [25]. Key stakeholders in the neonatal community reviewed multiple outcomes reported in neonatal trials and qualitative studies. Based on consensus, key outcome measures were identified, including survival, sepsis, necrotizing enterocolitis, brain injury on imaging, retinopathy or prematurity, gross motor ability, general cognitive ability, quality of life, adverse events, visual impairment or blindness, hearing impairment or deafness, chronic lung disease/bronchopulmonary dysplasia. Trials registration has to be a continued focus of the neonatal community. Trials registration allows for systematic reviewers to understand whether or not reporting bias has occurred [26]. It also allows for transparent incorporation of these core outcome measures. Ultimately, trials registration should include public reporting of all of these core outcomes and, in the future, access to data on an individual level such that more sophisticated individual patient data meta-analysis could occur. Lastly, there is no reason to see clinical trials and quality improvement as separate or exclusive activities. In fact, in the first NICQ Collaborative, conducted by Vermont Oxford Network, participation in a trial of postnatal steroids was considered part of the quality improvement best practices as opposed to simply choosing an as-of-yet unproven approach to use of this potent drug [27]. What role will Cochrane Neonatal play as we move forward in the 21st Century? As the neonatal community moves forward with its' research agenda, Cochrane Neonatal must not only follow but also lead with innovative approaches to synthesizing research findings. Cochrane Neonatal must continue to work closely with guideline developers. The relationship between systematic review production and guideline development is clearly outlined in reports from the Institute of Medicine [28,29]. Both are essential to guideline development; the systematic review group culling the evidence for the benefits and harms of a given intervention and the guideline group addressing the contextual issues of cost, feasibility, implementation and the values and preferences of individuals and societies. Most national and international guidelines groups now routinely use systematic reviews as the evidence basis for their guidelines and recommendations. Examples of the partnership between Cochrane Neonatal and international guideline development can be seen in our support of the World Health Organization (WHO) guidelines on the use of vitamin A or the soon to be published recommendations from the International Liaison Committee on Resuscitation (ILCOR) on cord management in preterm and term infants [30]. In the future, we need to collaborate early in the guideline development process so that the reviews are fit for purpose and meet the needs of the guideline developers and the end users. Towards this end, all Cochrane Neonatal reviews now contain GRADE assessments of the key clinical findings reported in the systematic review [31]. Addition of these assessments addresses the critical issue of our confidence in the findings. We are most confident in evidence provided by randomized controlled trials but this assessment can be can be downgraded if the studies that reported on the outcome in question had a high risk of bias, indirectness, inconsistency of results, or imprecision, or where there is evidence of reporting bias. Information provided by GRADE assessments is seen as critical in the process of moving from the evidence to formal recommendations [32]. We need to explore complex reviews, such as network (NMA) or multiple treatment comparison (MCT) meta-analyses, to address issues not formally addressed in clinical trials [33]. In conditions where there are multiple effective interventions, it is rare for all possible interventions to have been tested against each other [34]. A solution could be provided by network meta-analysis, which allows for comparing all treatments with each other, even if randomized controlled trials are not available for some treatment comparisons [34]. Network meta-analysis uses both direct (head-to-head) randomized clinical trial (RCT) evidence as well as indirect evidence from RCTs to compare the relative effectiveness of all included interventions [35]. However, Mills and colleagues note that the methodological quality of MTCs may be difficult for clinicians to interpret because the number of interventions evaluated may be large and the methodological approaches may be complex [35]. Cochrane Neonatal must take a role in both the creation of such analyses and the education of the neonatal community regarding the pitfalls of such an approach. The availability of individual patient data will make more sophisticated analyses more available to the community. Although the current crop of individual patient data meta-analyses (including the reviews of elective high frequency ventilation, inhaled nitric oxide and oxygen targets) have not differed substantially from the findings of the trials level reviews (suggesting that, in fact, sick neonates are more alike that unalike), there still will be a large role for individual patient data meta-analysis, at least to end the unfound conclusions that these therapies are effective in various subgroups (be it issues of sex, disease severity, or clinical setting) [36-39]. Future trials should take a lesson from the NeOProM Collaborative [37,39]. Given the difficulty in generating significant sample size and creating funding in any single environment, trials with similar protocols should be conducted in a variety of healthcare settings with an eye towards both study level and individual patient level meta-analysis at the conclusion of those trials, allowing for broader contribution to the trials data, more rapid accrual of sample size, and more precise results. We need to educate the neonatal community regarding the use and abuse of diagnostic tests. Diagnostic tests are a critical component of healthcare but also contribute greatly to the cost of medical care worldwide. These costs include the cost of the tests themselves and the costs of misdiagnosis and treatment of individuals who will not benefit from those treatments. Clinicians may have a limited understanding of diagnostic test accuracy, the ability of a diagnostic test to distinguish between patients with and without the disease or target condition [41,42]. Efforts such as Choosing Wisely have tried to identify these deficiencies [40]. As Cochrane has increased the general literacy of both the medical and general population regarding the interpretation of the results of interventions on various diseases, so should Cochrane move forward and improve the understanding of diagnostic testing. We need to become more efficient at creating and maintaining our reviews. The time spent to produce systematic reviews is far too great. In average, it takes between 2½ to 6½ years to produce a systematic review, requiring intense time input for highly trained and expensive experts. Innovations in the ways in which we produce systematic reviews can make the review process more efficient by outsourcing some of the tasks or crowdsourcing to machine learning. We need to let the crowd and machine learning innovations help us sort the massive amounts of information needed to conduct systematic reviews. It can also allow for "live" updating of critical reviews where the research landscape is quickly changing [43]. Lastly, Cochrane Neonatal must focus more on users of the reviews and not necessarily authors of the reviews. Current Cochrane programming speaks of Cochrane training with an eye towards developing the skills of individuals who will conduct systematic reviews. While this is clearly needed and laudable, the fact of the matter is that most of the community will be "users" of the reviews. Individuals who need to understand how to use and interpret the findings of systematic reviews. These review users include clinicians, guideline developers, policy makers and families. Incorporation of GRADE guidelines has been a huge step in adding transparency to the level of uncertainty we have in our findings. From a family's perspective, we need to overcome the environment of mistrust or misunderstanding of scientific evidence and how we convey what we know, and our uncertainty about what we know, to parents and families.
    MeSH term(s) Humans ; Infant, Newborn ; Neonatology/methods ; Neonatology/standards ; Neonatology/trends ; Perinatology/methods ; Perinatology/standards ; Perinatology/trends ; Practice Guidelines as Topic ; Randomized Controlled Trials as Topic/standards ; Review Literature as Topic
    Language English
    Publishing date 2020-09-12
    Publishing country Ireland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 752532-1
    ISSN 1872-6232 ; 0378-3782
    ISSN (online) 1872-6232
    ISSN 0378-3782
    DOI 10.1016/j.earlhumdev.2020.105191
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Financing future fertility

    Molly Johnston / Giuliana Fuscaldo / Stella May Gwini / Sally Catt / Nadine Maree Richings

    Reproductive Biomedicine & Society Online, Vol 14, Iss , Pp 32-

    Women’s views on funding egg freezing

    2022  Volume 41

    Abstract: ... participants indicating support for the complete funding of medical EF through the public system. Views ... There was very high support for public funding for medical EF (n = 574, 87%), with 302 (46 ... indicated that non-medical EF should be self-funded. If faced with the decision of what to do with surplus ...

    Abstract Like other assisted reproductive technology (ART) procedures, the cost of egg freezing (EF) is significant, presenting a potential barrier to access. Given recent technological advancements and rising demand for EF, it is timely to reassess how EF is funded. An online cross-sectional survey was conducted in Victoria, Australia and was completed by 656 female individuals. Participants were asked their views on funding for both medical and non-medical EF. The median age of participants was 28 years (interquartile range 23–37 years) and most participants were employed (44% full-time, 28% part-time, 33% students). There was very high support for public funding for medical EF (n = 574, 87%), with 302 (46%) participants indicating support for the complete funding of medical EF through the public system. Views about funding for non-medical EF were more divided; 43 (6%) participants supported full public funding, 235 (36%) supported partial public funding, 150 (23%) supported coverage through private health insurance, and 204 (31%) indicated that non-medical EF should be self-funded. If faced with the decision of what to do with surplus eggs, a high proportion of participants indicated that they would consider donation (71% to research, 59% to a known recipient, 52% to a donor programme), indicating that eggs surplus to requirements could be a potential source of donor eggs. This study provides insights that could inform policy review, and suggests revisiting whether the medical/non-medical distinction is a fair criterion to allocate funding to ART.
    Keywords Egg freezing ; Oocyte cryopreservation ; Public funding ; Affordability ; Accessibility ; Egg disposal ; Reproduction ; QH471-489 ; Social sciences (General) ; H1-99
    Subject code 333
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Managing patients with comorbidities: future models of care.

    Rayman, Gerry / Akpan, Asangaedem / Cowie, Martin / Evans, Rachael / Patel, Martyn / Posporelis, Sotiris / Walsh, Kieran

    Future healthcare journal

    2022  Volume 9, Issue 2, Page(s) 101–105

    Abstract: ... with multimorbidity. The system of healthcare professional education needs to change also. Clinical decision support ... decision support tools have offered no support when dealing with patients with comorbidities; they have covered single ... One in four adults in the UK have two or more medical conditions. One in three adults admitted ...

    Abstract One in four adults in the UK have two or more medical conditions. One in three adults admitted to hospital in the UK have five or more conditions. People with multimorbidity have poorer functional status, quality of life and health outcomes, and are higher users of ambulatory and inpatient care than those without multimorbidity. The entire healthcare system needs to change so that it can provide a better service for patients with multimorbidity. The system of healthcare professional education needs to change also. Clinical decision support has a clear role in the management of patients with multimorbidity. But, until now, clinical decision support tools have offered no support when dealing with patients with comorbidities; they have covered single conditions only. In light of this, BMJ Best Practice recently launched the Comorbidities Manager. This enables healthcare professionals to add a patient's comorbidities to an existing management plan and get a tailored plan instantly. This article outlines the importance of taking into account comorbidities when managing patients and the role that the BMJ Comorbidities Manager can play in this regard.
    Language English
    Publishing date 2022-08-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 3016427-8
    ISSN 2514-6653 ; 2514-6645
    ISSN (online) 2514-6653
    ISSN 2514-6645
    DOI 10.7861/fhj.2022-0029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Artificial intelligence perspective in the future of endocrine diseases.

    Hasanzad, Mandana / Aghaei Meybodi, Hamid Reza / Sarhangi, Negar / Larijani, Bagher

    Journal of diabetes and metabolic disorders

    2022  Volume 21, Issue 1, Page(s) 971–978

    Abstract: ... natural language processing. Current research in AI technology is making major efforts to improve decision support systems ... and management of diseases. The move from handwritten medical notes to electronic health records and ... performance and help better clinical decision making which is called augmented intelligence. The methods ...

    Abstract In recent years, artificial intelligence (AI) shows promising results in the diagnosis, prediction, and management of diseases. The move from handwritten medical notes to electronic health records and a huge number of digital data commenced in the era of big data in medicine. AI can improve physician performance and help better clinical decision making which is called augmented intelligence. The methods applied in the research of AI and endocrinology include machine learning, artificial neural networks, and natural language processing. Current research in AI technology is making major efforts to improve decision support systems for patient use. One of the best-known applications of AI in endocrinology was seen in diabetes management, which includes prediction, diagnosis of diabetes complications (measuring microalbuminuria, retinopathy), and glycemic control. AI-related technologies are being found to assist in the diagnosis of other endocrine diseases such as thyroid cancer and osteoporosis. This review attempts to provide insight for the development of prospective for AI with a focus on endocrinology.
    Language English
    Publishing date 2022-01-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2680289-2
    ISSN 2251-6581
    ISSN 2251-6581
    DOI 10.1007/s40200-021-00949-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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