Subjects -> HEALTH AND SAFETY (Total: 1562 journals)
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    - WOMEN'S HEALTH (82 journals)

HEALTH FACILITIES AND ADMINISTRATION (390 journals)                  1 2 | Last

Showing 1 - 200 of 397 Journals sorted alphabetically
ACI Open     Open Access  
Acta Bioquimica Clinica Latinoamericana     Open Access   (Followers: 1)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 22)
Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi     Open Access   (Followers: 1)
Advanced Healthcare Materials     Hybrid Journal   (Followers: 17)
Advances in Dual Diagnosis     Hybrid Journal   (Followers: 48)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Medical Education and Practice     Open Access   (Followers: 34)
Advances in Mental Health and Intellectual Disabilities     Hybrid Journal   (Followers: 89)
Advances in Nursing Science     Hybrid Journal   (Followers: 43)
Advances in Simulation     Open Access   (Followers: 7)
African Journal of Primary Health Care & Family Medicine     Open Access   (Followers: 6)
AIDS and Behavior     Hybrid Journal   (Followers: 18)
American Journal of Hospice and Palliative Medicine     Hybrid Journal   (Followers: 48)
American Journal of Managed Care     Full-text available via subscription   (Followers: 13)
Analytical Methods     Full-text available via subscription   (Followers: 14)
Anthropologie et santé     Open Access   (Followers: 5)
Applied Clinical Informatics     Hybrid Journal   (Followers: 5)
Applied Health Economics and Health Policy     Full-text available via subscription   (Followers: 24)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 13)
Archives of Public Health     Open Access   (Followers: 13)
Asian Journal of Health     Open Access   (Followers: 4)
Australasian Journal of Paramedicine     Open Access   (Followers: 7)
Australian and New Zealand Journal of Public Health     Hybrid Journal   (Followers: 17)
Australian Health Review     Hybrid Journal   (Followers: 7)
Australian Journal of Primary Health     Hybrid Journal  
Australian Journal of Rural Health     Hybrid Journal   (Followers: 18)
Autism     Hybrid Journal   (Followers: 350)
Avicenna     Open Access   (Followers: 3)
Balint Journal     Hybrid Journal   (Followers: 2)
Bereavement Care     Hybrid Journal   (Followers: 13)
BJR     Hybrid Journal   (Followers: 21)
BMC Medical Informatics and Decision Making     Open Access   (Followers: 25)
BMC Oral Health     Open Access   (Followers: 7)
BMJ Leader     Hybrid Journal  
BMJ Quality & Safety     Hybrid Journal   (Followers: 69)
BMJ Supportive & Palliative Care     Hybrid Journal   (Followers: 50)
British Journal of Healthcare Assistants     Full-text available via subscription   (Followers: 33)
British Journal of Healthcare Management     Full-text available via subscription   (Followers: 19)
British Journal of Hospital Medicine     Full-text available via subscription   (Followers: 18)
British Journal of Nursing     Full-text available via subscription   (Followers: 298)
British Journal of School Nursing     Full-text available via subscription   (Followers: 14)
Bruce R Hopkins' Nonprofit Counsel     Hybrid Journal   (Followers: 2)
Building Better Healthcare     Full-text available via subscription   (Followers: 1)
Canadian Nurse     Full-text available via subscription   (Followers: 8)
Cardiac Electrophysiology Clinics     Full-text available via subscription   (Followers: 1)
Children and Schools     Hybrid Journal   (Followers: 8)
Chinese Medical Record English Edition     Hybrid Journal  
CIN : Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Clinical Audit     Open Access   (Followers: 4)
Clinics and Practice     Open Access  
Cognition, Technology & Work     Hybrid Journal   (Followers: 14)
Communication & Medicine     Hybrid Journal   (Followers: 5)
Community Based Medical Journal     Open Access  
Conflict and Health     Open Access   (Followers: 8)
Contemporary Nurse : A Journal for the Australian Nursing Profession     Hybrid Journal   (Followers: 7)
Critical Public Health     Hybrid Journal   (Followers: 26)
Culture, Health & Sexuality: An International Journal for Research, Intervention and Care     Hybrid Journal   (Followers: 17)
Current Opinion in Supportive and Palliative Care     Hybrid Journal   (Followers: 28)
Das Gesundheitswesen     Hybrid Journal   (Followers: 10)
Death Studies     Hybrid Journal   (Followers: 22)
Dental Nursing     Full-text available via subscription   (Followers: 3)
Disaster Health     Hybrid Journal   (Followers: 1)
DoctorConsult - The Journal. Wissen für Klinik und Praxis     Full-text available via subscription  
Droit, Déontologie & Soin     Full-text available via subscription   (Followers: 3)
E-Health Telecommunication Systems and Networks     Open Access   (Followers: 2)
East and Central African Journal of Surgery     Open Access  
Éducation thérapeutique du patient     Full-text available via subscription   (Followers: 1)
eGEMs     Open Access  
Emergency Radiology     Hybrid Journal   (Followers: 10)
Enfermería Clínica     Full-text available via subscription   (Followers: 3)
Epidemiologic Methods     Hybrid Journal   (Followers: 4)
Ergonomics     Hybrid Journal   (Followers: 24)
Escola Anna Nery     Open Access   (Followers: 1)
Ethnicity & Health     Hybrid Journal   (Followers: 15)
European Journal of Public Health     Hybrid Journal   (Followers: 27)
European Journal of Work and Organizational Psychology     Hybrid Journal   (Followers: 35)
European Research in Telemedicine / La Recherche Européenne en Télémédecine     Full-text available via subscription   (Followers: 2)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 11)
Evidence-Based Nursing     Hybrid Journal   (Followers: 74)
Evolution, Medicine, and Public Health     Open Access   (Followers: 12)
Expert Opinion on Therapeutic Patents     Hybrid Journal   (Followers: 12)
Families, Systems, & Health     Full-text available via subscription   (Followers: 9)
Family Practice Management     Full-text available via subscription   (Followers: 5)
Focus on Health Professional Education : A Multi-disciplinary Journal     Full-text available via subscription   (Followers: 7)
Frontiers in Public Health Services and Systems Research     Open Access   (Followers: 5)
Future Hospital Journal     Full-text available via subscription   (Followers: 2)
Gastrointestinal Nursing     Full-text available via subscription   (Followers: 5)
Geron     Full-text available via subscription  
Global & Regional Health Technology Assessment     Open Access   (Followers: 1)
Global Health Action     Open Access   (Followers: 12)
Global Health Management Journal (GHMJ)     Open Access   (Followers: 1)
Global Health Research and Policy     Open Access   (Followers: 4)
Global Journal of Hospital Administration     Open Access   (Followers: 1)
Global Public Health: An International Journal for Research, Policy and Practice     Hybrid Journal   (Followers: 21)
Globalization and Health     Open Access   (Followers: 9)
Handbook of Practice Management     Hybrid Journal   (Followers: 2)
Health     Open Access   (Followers: 5)
Health & Social Care In the Community     Hybrid Journal   (Followers: 54)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 16)
Health and Interprofessional Practice     Open Access   (Followers: 6)
Health and Technology     Hybrid Journal   (Followers: 4)
Health Care Analysis     Hybrid Journal   (Followers: 17)
Health Care Management Review     Hybrid Journal   (Followers: 16)
Health Economics     Hybrid Journal   (Followers: 59)
Health Expectations     Open Access   (Followers: 16)
Health Facilities Management     Free   (Followers: 10)
Health Informatics Journal     Hybrid Journal   (Followers: 28)
Health Information : Jurnal Penelitian     Open Access   (Followers: 5)
Health Information Science and Systems     Open Access   (Followers: 4)
Health Policy and Management     Open Access   (Followers: 7)
Health Policy and Planning     Hybrid Journal   (Followers: 27)
Health Professions Education     Open Access   (Followers: 3)
Health Promotion International     Hybrid Journal   (Followers: 28)
Health Promotion Practice     Hybrid Journal   (Followers: 18)
Health Psychology     Full-text available via subscription   (Followers: 62)
Health Psychology Review     Hybrid Journal   (Followers: 46)
Health Reform Observer : Observatoire des Réformes de Santé     Open Access   (Followers: 2)
Health Research Policy and Systems     Open Access   (Followers: 16)
Health Science Journal of Indonesia     Open Access   (Followers: 2)
Health Services Research and Managerial Epidemiology     Open Access   (Followers: 3)
Health, Risk & Society     Hybrid Journal   (Followers: 14)
Healthcare : The Journal of Delivery Science and Innovation     Full-text available via subscription   (Followers: 1)
Healthcare in Low-resource Settings     Open Access   (Followers: 1)
Healthcare Management Forum     Hybrid Journal   (Followers: 8)
Healthcare Policy / Politiques de Santé     Full-text available via subscription   (Followers: 5)
Healthcare Quarterly     Full-text available via subscription   (Followers: 10)
Healthcare Risk Management     Full-text available via subscription   (Followers: 5)
HealthcarePapers     Full-text available via subscription   (Followers: 2)
Hispanic Health Care International     Full-text available via subscription  
História, Ciências, Saúde - Manguinhos     Open Access   (Followers: 2)
Hong Kong Journal of Social Work, The     Hybrid Journal   (Followers: 3)
Hospital     Open Access   (Followers: 3)
Hospital a Domicilio     Open Access  
Hospital Medicine Clinics     Full-text available via subscription   (Followers: 2)
Hospital Peer Review     Full-text available via subscription   (Followers: 1)
Hospital Pharmacy     Partially Free   (Followers: 18)
Hospital Practice     Hybrid Journal   (Followers: 2)
Hospital Practices and Research     Open Access  
Housing, Care and Support     Hybrid Journal   (Followers: 9)
Human Factors : The Journal of the Human Factors and Ergonomics Society     Full-text available via subscription   (Followers: 39)
Human Resources for Health     Open Access   (Followers: 12)
ICU Director     Hybrid Journal  
Ids Practice Papers     Hybrid Journal  
IEEE Pulse     Hybrid Journal   (Followers: 5)
IISE Transactions on Healthcare Systems Engineering     Hybrid Journal   (Followers: 2)
Independent Nurse     Full-text available via subscription   (Followers: 3)
Index de Enfermeria     Open Access   (Followers: 7)
Indian Journal of Public Health     Open Access   (Followers: 1)
Informatics for Health and Social Care     Hybrid Journal   (Followers: 10)
Innovation and Entrepreneurship in Health     Open Access   (Followers: 1)
INQUIRY : The Journal of Health Care Organization, Provision, and Financing     Open Access   (Followers: 1)
Interface - Comunicação, Saúde, Educação     Open Access   (Followers: 1)
International Archives of Health Sciences     Open Access  
International Journal for Equity in Health     Open Access   (Followers: 9)
International Journal for Quality in Health Care     Hybrid Journal   (Followers: 41)
International Journal of Care Coordination     Hybrid Journal   (Followers: 7)
International Journal of Computers in Healthcare     Hybrid Journal   (Followers: 3)
International Journal of Electronic Healthcare     Hybrid Journal   (Followers: 2)
International Journal of Environmental Research and Public Health     Open Access   (Followers: 27)
International Journal of Health Administration and Education Congress (Sanitas Magisterium)     Open Access  
International Journal of Health Care Quality Assurance     Hybrid Journal   (Followers: 15)
International Journal of Health Economics and Management     Hybrid Journal   (Followers: 12)
International Journal of Health Governance     Hybrid Journal   (Followers: 27)
International Journal of Health Planning and Management     Hybrid Journal   (Followers: 6)
International Journal of Health Sciences Education     Open Access   (Followers: 2)
International Journal of Health Services Research and Policy     Open Access   (Followers: 1)
International Journal of Health System and Disaster Management     Open Access   (Followers: 3)
International Journal of Healthcare     Open Access   (Followers: 1)
International Journal of Healthcare Technology and Management     Hybrid Journal   (Followers: 7)
International Journal of Hospital Research     Open Access  
International Journal of Human Factors and Ergonomics     Hybrid Journal   (Followers: 20)
International Journal of Human Rights in Healthcare     Hybrid Journal   (Followers: 5)
International Journal of Medicine and Public Health     Open Access   (Followers: 6)
International Journal of Migration, Health and Social Care     Hybrid Journal   (Followers: 12)
International Journal of Occupational and Environmental Medicine, The     Open Access   (Followers: 16)
International Journal of Palliative Nursing     Full-text available via subscription   (Followers: 32)
International Journal of Positive Behavioural Support     Full-text available via subscription   (Followers: 38)
International Journal of Prisoner Health     Hybrid Journal   (Followers: 14)
International Journal of Privacy and Health Information Management     Full-text available via subscription   (Followers: 3)
International Journal of Public and Private Healthcare Management and Economics     Full-text available via subscription   (Followers: 4)
International Journal of Qualitative Studies on Health and Well-Being     Open Access   (Followers: 22)
International Journal of Reliable and Quality E-Healthcare     Full-text available via subscription   (Followers: 1)
International Journal of Research in Nursing     Open Access   (Followers: 12)
International Journal of Technology Assessment in Health Care     Hybrid Journal   (Followers: 16)
International Journal of Telemedicine and Clinical Practices     Hybrid Journal   (Followers: 5)
International Journal of Telework and Telecommuting Technologies     Full-text available via subscription  
International Journal of Therapy and Rehabilitation     Full-text available via subscription   (Followers: 42)
International Journal of User-Driven Healthcare     Full-text available via subscription   (Followers: 1)
International Journal on Disability and Human Development     Hybrid Journal   (Followers: 23)
Irish Journal of Paramedicine     Open Access   (Followers: 3)
JAAPA     Hybrid Journal   (Followers: 3)
Jaffna Medical Journal     Open Access  
Joint Commission Journal on Quality and Patient Safety     Hybrid Journal   (Followers: 41)
Journal for Healthcare Quality     Hybrid Journal   (Followers: 28)
Journal of Advanced Nursing     Hybrid Journal   (Followers: 252)
Journal of Advances in Medical Education & Professionalism     Open Access   (Followers: 10)
Journal of Aging and Health     Hybrid Journal   (Followers: 27)
Journal of Ambulatory Care Management, The     Hybrid Journal   (Followers: 4)
Journal of Applied Arts and Health     Hybrid Journal   (Followers: 1)

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Similar Journals
Journal Cover
Health and Technology
Journal Prestige (SJR): 0.221
Citation Impact (citeScore): 1
Number of Followers: 4  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2190-7188 - ISSN (Online) 2190-7196
Published by Springer-Verlag Homepage  [2656 journals]
  • Comparing different feature selection algorithms for cardiovascular
           disease prediction
    • Abstract: Determining the key features for the best model fitting in machine learning is not an easy task. The main objective of this study is to accurately predict cardiovascular disease by comparison among different feature selection algorithms. This study has employed a two-stage feature sub-set retrieving technique to achieve this goal: we first considered three well-established feature selection (filter, wrapper, embedded), and then, a feature sub-set was extracted using a Boolean process-based common “True” condition from these three algorithms. To justify the comparative accuracy and define the best predictive analytics, the well-known random forest, support vector classifier, k-nearest neighbors, Naive Bayes, and XGBoost model have been considered. The artificial neural network (ANN) has been considered as the benchmark for further comparison with all features. The experimental outcomes exhibit that the XGBoost Classifier integrated with the wrapper methods offers precise prediction results for cardiovascular disease. The proposed approach can also be applied in other domains such as sports analytics, bio-informatics, and financial analysis in contrast with healthcare informatics. This empirical study’s novelty is that the common “True” condition–based feature selection and comparison technique is entirely a new phenomenon in medical informatics.
      PubDate: 2020-10-30
      DOI: 10.1007/s12553-020-00499-2
  • PLS-SEM path analysis to determine the predictive relevance of e-Health
           readiness assessment model
    • Abstract: There exist a sizable body of research addressing the evaluation of eHealth/health information technology (HIT) readiness using standard readiness model in the domain of Information Systems (IS). However, there is a general lack of reliable indicators used in measuring readiness assessment factors, resulting in limited predictability. The availability of reliable measuring tools could help improve outcomes of readiness assessments. In determining the predictive relevance of developed HIT model we collected quantitative data from clinical and non-clinical (administrators) staff at Komfo Anokye Teaching Hospital (KATH), Kumasi Ghana using the traditional in-person distribution of paper-based survey, popularly known as drop and collect survey (DCS). We then used PLS-SEM path analysis to measure the predictive relevance of a block of manifest indicators of the readiness assessment factors. Three important readiness assessment factors are thought to define and predict the structure of the KATH HIT/eHealth readiness survey data (Technology readiness (TR); Operational resource readiness (ORR); and Organizational cultural readiness (OCR). As many public healthcare organizations in Ghana have already gone paperless without any reliable HIT/eHealth guiding policy, there is a critical need for reliable HIT/eHealth regulatory policies readiness (RPR) and some improvement in HIT/eHealth strategic planning readiness (core readiness). The final model (R2 = 0.558 and Q2 = 0.378) suggest that TR, ORR, and OCR explained 55.8% of the total amount of variance in HIT/eHealth readiness in the case of KATH and the relevance of the overall paths of the model was predictive. Fit values (SRMR = 0.054; d_ULS = 6.717; d_G = 6.231; Chi2 = 6,795.276; NFI = 0.739). Generally, the GoF for this SEM are encouraging and can substantially be improved.
      PubDate: 2020-10-29
      DOI: 10.1007/s12553-020-00484-9
  • A close look at socio-technical design features of mobile applications for
           diabetes self-management
    • Abstract: Many mobile apps used for chronic disease self-management suffer from low usage and retention. In this paper, we analyzed apps for self-management of diabetes to understand their strengths and shortcomings from a Socio-Technical (ST) perspective and identify areas for improvement. The ST model and ST categories (Task-Actor, Task-Structure, Task-Technology, Actor-Structure, Actor-Technology, Structure-Technology) were used to identify gaps in the current design of Diabetes Management Mobile Apps. We used a content analysis approach to analyze each app’s functionality and users’ comments against a set of ST features generated based on the ST model and the associated categories. Results showed that most mobile apps are designed to support the technical characteristics in such context as reflected in the Task-Technology and Actor-Technology categories like self-care functionality, ease of use and usefulness, managing resources, and coordinating tasks. However, limitations exist when considering the larger structure within which self-care tasks are performed such as enabling physician–patient communication and feedback. Most of the limitations we observed are in the Task-Structure and Technology-Structure categories that capture features related to the interdependency of self-care tasks with provider and payer workflows.
      PubDate: 2020-10-26
      DOI: 10.1007/s12553-020-00497-4
  • Gut microbiota and artificial intelligence approaches: A scoping review
    • Abstract: This article aims to provide a thorough overview of the use of Artificial Intelligence (AI) techniques in studying the gut microbiota and its role in the diagnosis and treatment of some important diseases. The association between microbiota and diseases, together with its clinical relevance, is still difficult to interpret. The advances in AI techniques, such as Machine Learning (ML) and Deep Learning (DL), can help clinicians in processing and interpreting these massive data sets. Two research groups have been involved in this Scoping Review, working in two different areas of Europe: Florence and Sarajevo. The papers included in the review describe the use of ML or DL methods applied to the study of human gut microbiota. In total, 1109 papers were considered in this study. After elimination, a final set of 16 articles was considered in the scoping review. Different AI techniques were applied in the reviewed papers. Some papers applied ML, while others applied DL techniques. 11 papers evaluated just different ML algorithms (ranging from one to eight algorithms applied to one dataset). The remaining five papers examined both ML and DL algorithms. The most applied ML algorithm was Random Forest and it also exhibited the best performances.
      PubDate: 2020-10-26
      DOI: 10.1007/s12553-020-00486-7
  • The influence of health technology on principal-agent relationship: a
           study of virtual doctor consultations in Rwanda
    • Abstract: Use of technology in health care delivery is considered as one solution to speed up the health care delivery in underserved areas. Because of this, a number of health technologies have been brought into play, such as providing virtual doctor consultations. The idea of Principal-Agent relationship has turned out to be generally acknowledged in health economics. The health insurance market appears to fit into the standard Principal-Agent relationship that is described by a principal (poorly educated individual) and an agent (educated person), who endeavour to boost their utility capacities. In Rwanda, the health services are openly regulated while yet third part, payer, health insurance, for example, Rwanda Social Security Board (RSSB) and other private insurance providers dominate the buying of human services. Therefore, this study focused on assessing the influence of health technology on principal-agent relationship focusing on the virtual doctor consultation. This exploratory study utilised a qualitative approach to gather primary data. The qualitative data was collected using Key Informant Interview (KII) guide and Focus Group Discussions (FGD) guide. Collected data from both the FGDs and KIIs were analysed using Atlas.ti version 8.4 software after a proper transcription of the recorded data. The study findings suggested some challenges and numerous opportunities brought by health technology particularly virtual doctor consultations in Rwanda. Challenges include lack of interoperability of software leading to data concerns like data ownership, data access and data security, lack of stable infrastructure and a high cost of infrastructure development, differences in health care packages at different levels of treatment, scepticism especially with old people, literacy levels, smartphone penetration and cost of internet. Opportunities include cost saving, time saving, convenience, confidentiality, accessibility and proper utilization and distribution of the scarce healthcare workforce especially general practitioners (GPs). Moreover, induced demand due to encouragement and due to convenience of the service was identified by the study. However, as it would be anticipated that induced demand is a big concern for the insurance institutions, it was found not to be as major as anticipated patients are prompted to utilize health services at an early stage of illness, which makes the cost lower. Finally, the study identified that information asymmetry that exist between the agent and principal was found to be huge and of a great concern especially the regulators who have no information on where the information for patients is kept and what it is used for. The study recommends proper integration, incentives alignment, proper identification of the technology and cost effectiveness analysis for proper incorporation of health technologies in the health system.
      PubDate: 2020-10-26
      DOI: 10.1007/s12553-020-00491-w
  • Diagnosing malaria from some symptoms: a machine learning approach and
           public health implications
    • Abstract: Malaria is a leading cause of death in Nigeria and remains a public health concern because of the increasing resistance of the disease to antimalarial drugs. Pregnant women and children under five years of age are the most vulnerable. Efforts to eradicate malaria is often frustrated due to some various sociodemographic factors and medical factors. One of the vital therapeutic factors is misdiagnosis. Hence, the paper applied different data mining models to diagnose malaria using fifteen symptoms of patients that attended a hospital in Nigeria. The data were obtained from a peer reviewed data article that comprises 337 subjects at Federal Polytechnic Ilaro Medical Centre, Ogun State. The independent variables are 15 symptoms, age, and sex, while the target or dependent is the outcome. The outcome is the result of the diagnosis, which is positive for negative for malaria. Eight machine learning tools were applied to the data on the Orange Software platform. Weak non-significant correlations were obtained between the 15 symptoms and the outcome, and hence no pattern was observed. However, the application of data mining tools revealed a hidden pattern that correctly predicted the outcome using the subjects' symptoms, age, and sex. 6 out of the 8 machine learning models were adjudged to perform well using different performance metrics. The Adaptive boosting model gave a percent 100% precision in the classification, and logistic regression was the least. Furthermore, a percent performance of Adaboost implies that the model correctly predicted all the 221 true negatives and 116 true positives with a misclassification (misdiagnosis) of zero. Classify using only the 15 symptoms reduced the predictive accuracy of the 6 models. Nevertheless, Adaboost performance was the best with a classification accuracy of 98.2%, precision of 96.6%, and an error rate of just 1.8%. Again, logistic regression performance was the least. The present work has presented a strong relationship between age and sex and the outcome. Adaboost model can be used to design decision support systems or rapid diagnostic tools that utilise the internet or mobile devices as platforms in the diagnosis of malaria. The application of the present work as potentials in reduction of misdiagnosis incidences, reducing the mortality due to malaria and improving the overall public health of people residing in malaria endemic areas.
      PubDate: 2020-10-25
      DOI: 10.1007/s12553-020-00488-5
  • 40 years IUPESM
    • PubDate: 2020-10-25
      DOI: 10.1007/s12553-020-00493-8
  • Auto-ROIs of bone scan image using thin-plate spline with specific bone
    • Abstract: Bone scan image (BSI) is the most widely available technique for detecting cancer that has spread (metastasized) from the original location, such as breast or prostate cancer. One benefit of this process is as strong prognostic indicator of survival longevity for cancer patient. However, some challenging issues should be considered, i.e. variability in image brightness, abnormal bone shape or structure, asymmetry gesture position, and image noise due to muscle and fat tissue make the process to determine the region of interest (ROI) become more difficult, not to mention the required-time when inspecting the ROI of each bone part manually. The purposes of this study are to provide an effortless and meticulous ROI labeling as prerequired in clinical application. Finally, to propose a novel framework for determination of multiple ROI automatically by utilizing specific bone landmarks, in the hope of that could contribute to clinical observation in metastasis analysis. The results show that the proposed framework is promising method with high sensitivity (0.96), specificity (0.97), precision (0.94), Sørensen-Dice Index (0.96) and image content index (0.96).
      PubDate: 2020-10-24
      DOI: 10.1007/s12553-020-00483-w
  • “Feasibility test and application of AI in healthcare”—with special
           emphasis in clinical, pharmacovigilance, and regulatory practices
    • Abstract: Artificial intelligence (AI) is the use of the machine by the introduction of learning technologies to the machine with the help of data collected in the past to be used for solving problems that arise in the future. The present review article focuses on the role of AI in healthcare such as drug development, clinical trial, disease management, pharmacovigilance (PV), and regulatory practices. The AI helps in patient’s randomization and also increases the success rate of clinical trials. Diabetes retinopathy, diabetes, and cancer are the leading global health burdens in which AI has shown positive results in the detection, prevention, mitigation, and treatment of these diseases. PV data plays an important role in ensuring the safety of ongoing medical products. Once the AI implemented the PV data it is expected to be more accurate and quality reporting is provided. The role of AI is also expended in detecting adulteration in herbal drugs. Various regulatory frameworks are laid down by the US FDA, MHRA, TGA, and others for the safe and efficient use of AI in healthcare. The present article highlights the role of AI in promoting healthcare however the challenges of AI while practice to be addressed from time to time.
      PubDate: 2020-10-24
      DOI: 10.1007/s12553-020-00495-6
  • Performance evaluation of a new mobile air-treatment technology at-rest
           and under normal work conditions in a conventional hematology room
    • Abstract: Invasive fungal infections incidence in patients with hematological malignancies is increasing. Air treatment remains an essential preventive measure. Guidelines state that high-risk patients should be housed in units equipped with High-Efficiency Particulate Air filtration. Mobile air-treatment devices may be considered as alternatives or as a complement to the ventilation system. We assessed the decontamination performances of a new mobile air-treatment device in a conventional hematology room. This device connected or not to a plenum combining Ultra-Low Particulate Air filtration and non-thermal catalysis process has been evaluated with or without healthcare activities (one sampling at-rest and triplicate samplings in activity). Environmental particulate, airborne and surface fungal and total mesophilic flora (TMF) samplings were performed with a total of 1800 min of particles counting, 144 air and 240 surface samplings. At-rest, both devices achieved a 2-log decrease of airborne particles, ISO 4 being the maximal particle class reached under the plenum. Whatever the healthcare activities and the location in the room, ISO 7 was the maximal particle class reached. TMF and fungal air contamination were lower during healthcare activities when the air portable cleaners were running. The bed was the area the least contaminated in the room. No differences were observed for surface contamination. This work provides arguments of the efficacy of a new mobile air-treatment device to decrease particle counts and airborne bioburden in real-life conditions. Studies have yet to be conducted to document the impact of these devices on the risk of invasive aspergillosis in immunocompromised patients.
      PubDate: 2020-10-04
      DOI: 10.1007/s12553-020-00480-z
  • Evaluation of the content of a web tool aimed to identify early markers
           related to fall risk among middle-aged people
    • Abstract: Today, the health care sector has no test for early age-related deterioration in physical ability. The aim of this study was to evaluate questionnaires, videos and physical tests whose task will be to identify early markers related to an increased fall risk in middle-aged people. If the person is aware of deficits in physical ability related to fall risk, the person can then use that knowledge to perform relevant training that can strengthen the physical ability related to fall risk. Self-efficacy for balance and strength, physical ability related to fall risk and body composition were measured for 36 middle-aged test participants. This study shows that the tested physical exercises were useful for self-assessment of physical ability. Impairment in physical ability could not be identified solely with measurement of body composition, walking speed, questions, videos that show adjustments that are common in people with impaired balance, or an extended version of the Short version of Activities-specific Balance Confidence scale. This study indicates that a combination of questionnaires, videos and physical exercises can evaluate physical ability and act as a method to identify early markers related to increased fall risk. The questionnaire, videos and physical exercises can be implemented in a web tool that could make persons aware that they have decreased physical ability regarding fall risk or that they needlessly make physical compensations when performing daily activities and thus are missing opportunities to strengthen their physical ability every day.
      PubDate: 2020-09-28
      DOI: 10.1007/s12553-020-00482-x
  • Residual radioactivity determination of brass aperture irradiated with
           wobbling proton beam by considering volume-source geometries
    • Abstract: The purpose of this study is to determine the residual radioactivity of the patient-specific brass aperture induced by the proton beam of a single-ring wobbling system and the consequent radiation exposure to patients and staff. The gamma-ray spectra of the activated brass block were obtained using a high-purity germanium detector, following which the radionuclides were analyzed. Residual activity within the brass block was measured through the efficiency transfer method, and volume-source models were developed according to the distribution of the residual activity. The fitting equations for efficiency transfer factors were established with consideration of the activity distribution along the proton-beam direction. The ambient dose rate contributed by the activated brass was reduced to the level of the background radiation within approximately 3 h. Nevertheless, the residual activity of induced radionuclides with long half-lives, such as cobalt, which dominate the residual activity, should be monitored to ensure radiation safety.
      PubDate: 2020-09-26
      DOI: 10.1007/s12553-020-00466-x
  • Handling uncertainty in eHealth sensors using fuzzy system modeling
    • Abstract: In remote health multiple sensors are attached to a patient and collected data is transferred to the cloud, which is used by the physician for diagnosis. These sensors are prone to random errors. Challenge is to provide correct information since any inaccuracy in the information leads to the incorrect diagnosis of the patient. Any abnormal condition recorded by a single sensor can be cross-checked by matching it against another sensor recording different vital signs. The decisions of the doctors rely upon whatever the sensor is streaming currently, because matching against other vitals has to be done at real-time. Since fuzzy-based system works with the imprecise dataset and merges them in ranges, it favours the decision of a medical practitioner in remote health. Therefore, in this paper, we discuss how to reduce uncertainty from the remote health sensors using fuzzy modelling system. We discuss some use cases to simulate remote health scenario with fuzzy inferencing system and obtain acceptable output in presence of random errors. We also compare our proposed model with basic (statistical) and advanced (context-aware) models to show its performance exceeds the other two. First, the statistical model needs more data set than our proposed model and second context-aware model may not correctly detect random error from the current context.
      PubDate: 2020-09-17
      DOI: 10.1007/s12553-020-00465-y
  • Mobile-based consortium of parenting resources for low-income and
           underserved mothers and caregivers: app development, testing and lessons
    • Abstract: This pilot study used a formative evaluation approach to develop an accessible and low-cost mobile app-based program for low-income mothers to increase access to resources and health information (e.g., effective parenting) and reduce potential negative (e.g., stress, poor nutritional practices) influences. A user-centered formative evaluation method using four sets of focus group discussions was used to gather feedback from low-income mothers in a mid-sized city in the Northeast United States. Our study found that while information and resources provided on our parenting app were considered valuable by low-income mothers, the design and usability issues impacted the perceived attractiveness and usefulness of the platform. The younger mothers wanted functionality similar to popular social media apps, and given their mostly constrained financial situation, they were more engaged and interested in community resources that would help reduce their financial burden, instead of the purely preventative health and parenting information provided through our app.
      PubDate: 2020-09-15
      DOI: 10.1007/s12553-020-00481-y
  • Correction to: A review of dementia screening tools based on Mobile
    • Abstract: Column 3 of Table 1 should be removed and a bibliographic details has been added in the references found in “Medical exam reference” and “Study performance reference” columns in Table 2.
      PubDate: 2020-09-01
      DOI: 10.1007/s12553-020-00442-5
  • Correction to: New intelligent network approach for monitoring
           physiological parameters: the case of Benin
    • Abstract: The article New intelligent network approach for monitoring physiological parameters: the case of Benin, written by Daton Medenou, Mêtowanou H. Ahouandjinou, Davide Piaggio, Roland C. Houessouvo, Leandro Pecchia and Thierry R. Jossou, was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 9 May 2020 with open access.
      PubDate: 2020-09-01
      DOI: 10.1007/s12553-020-00439-0
  • Theoretical and experimental investigation of a portable
           electrocardiograph adapted for low-income countries
    • Abstract: This paper investigates the design, prototyping and experimental validation of a low-cost portable electrocardiograph made of standard electronic components. Indeed, the AD8232 and Arduino Nano board were used for the signal acquisition and digitization respectively. The electrocardiogram (ECG) signals obtained were visualized on a PC or an Android phone screen. The present portable electrocardiograph was used for the ECG signal acquisition of two anonymous patients (a healthy patient and pathological patient) in a Cameroonian hospital. The results were compared with the synthetic ECG and the one of the MIT database. They were in a good agreement and were also validated by a cardiologist as a promising solution for developing countries.
      PubDate: 2020-09-01
      DOI: 10.1007/s12553-020-00432-7
  • A systematic review into the assessment of medical apps: motivations,
           challenges, recommendations and methodological aspect
    • Abstract: Recent years have shown significantly pervasive interest in mobile applications (hereinafter “apps”). The number and popularity of these apps are dramatically increasing. Even though mobile apps are diverse, countless ones are available through many platforms. Some of these apps are not useful nor do they possess rich content, which benefits end users as expected, especially in medical-related cases. This research aims to review and analyze articles associated with medical app assessment across different platforms. This research also aimed to provide the best practices and identify the academic challenges, motivations and recommendations related with quality assessments. In addition, a methodological approach followed in previous research in this domain was also discussed to give some insights for future comers with what to expect. We systematically searched articles on topics related to medical app assessment. The search was conducted on five major databases, namely, Science Direct, Springer, Web of Science, IEEE Xplore and PubMed from 2009 to September 2019. These indices were considered sufficiently extensive and reliable to cover our scope of the literature. Articles were selected on the basis of our inclusion and exclusion criteria (n = 72). Medical app assessment is considered a major topic which warrants attention. This study emphasizes the current standpoint and opportunities for research in this area and boosts additional efforts towards the understanding of this research field.
      PubDate: 2020-09-01
      DOI: 10.1007/s12553-020-00451-4
  • DOT: a crowdsourcing Mobile application for disease outbreak detection and
           surveillance in Mauritius
    • Abstract: Early detection of disease outbreaks is crucial and even small improvements in detection can significantly impact on a country’s public health. In this work, we investigate the use of a crowdsourcing application and a real-time disease outbreak surveillance system for five diseases; Influenza, Gastroenteritis, Upper Respiratory Tract Infection (URTI), Scabies and Conjunctivitis, that are closely monitored in Mauritius. We also analyze and correlate the collected data with past statistics. A crowdsourcing mobile application known as Disease Outbreak Tracker (DOT) was implemented and made public. A real-time disease surveillance system using the Early Aberration Reporting System algorithm (EARS) for analysis of the collected data was also implemented. The collected data were correlated to historical data for 2017. Data were successfully collected and plotted on a daily basis. The results show that a few cases of Flu and Scabies were reported in some districts. The EARS methods C1, C2 and C3 also depicted spikes above the set threshold on some days. The study covers data collected over a period of one month. Once symptoms data were collected using DOT, probabilistic methods were used to find the disease or diseases that the user was suffering from. The data were further processed to find the extent of the disease outbreak district-wise, per disease. These data were represented graphically for a rapid understanding of the situation in each district. Our findings concur with existing data for the same period for previous years showing that the crowdsourcing application can aid in the detection of disease outbreaks.
      PubDate: 2020-09-01
      DOI: 10.1007/s12553-020-00456-z
  • Pharmaceutical industrial equipment qualification in Brazil: a strategic
           test proposal for vaccine secondary material packaging lines
    • Abstract: This research has as main objective prepare a qualification plan for vaccines secondary material packaging lines, in order to guide its practice and to define the tests required for the pharmaceutical industry in Brazil. This study sought to ensure product quality and health through better testing planning needed for proper installation, operation and performance of the equipment, as the few existing national regulations are generic regarding this type of approach. For this, a literature review was conducted using the most comprehensive research bases of scientific articles to describe the state of the art on the subject. The survey questionnaire was applied to the qualification and validation specialists. The use of a statistical tooling helped in the process of identification of the tests which cannot be missed within a quality planning. It is expected that the result of this study, through the development of a qualification plan, will add safety, reproducibility and effectiveness to the quality of the product and facilitate regulatory compliance with regulatory agencies. In addition, this plan will aim to contribute to other equipment and systems aimed at guiding specialists in qualification activities and the advancement of literature research.
      PubDate: 2020-09-01
      DOI: 10.1007/s12553-020-00447-0
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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