ICT Applications and Solutions in Healthcare

Author(s):  
Iulian Furdu ◽  
Bogdan Patrut

This chapter describes and discusses the applications and solutions under development or implemented in the e-Health care systems, in terms of their technological, social, organizational dimensions. A survey of the present status in relation with e-Government covers the leading countries (and not only) in ICT-based developments in these sectors. The authors present the most important solutions regarding the implementation and administration of a wide range of applications. Certain issues concerning EHR (Electronic Healthcare Record Systems), pharmacy and electronic prescription systems, patient administration and financial systems, intensive care unit systems, laboratory information systems, homecare and telecare applications, radiology information systems, and bioinformatics are outlined. Up and running ICT projects according to European Commission policies for health, ageing well, inclusion, and governance (FP7) are also presented.

2021 ◽  
Vol 10 (13) ◽  
pp. 2792
Author(s):  
Patrícia Moniz ◽  
Sérgio Brito ◽  
Pedro Póvoa

The SARS-CoV-2 pandemic has placed great strain on the most developed of health care systems, especially in the context of critical care. Although co-infections with cytomegalovirus (CMV) are frequent in the critically ill due to underlying immune suppression of multiple causes, the impact on COVID-19 patients remains unclear. Furthermore, severe COVID-19 has recently been associated with significant immune suppression, and this may in turn impact CMV reactivation, possibly contributing to clinical course. Nevertheless, multiple confounding factors in these patients will certainly challenge upcoming research. The authors present a case series of five patients admitted to the intensive care unit (ICU) in the context of respiratory failure due to severe COVID-19. All patients evolved with CMV reactivation during ICU stay.


Author(s):  
Duncan Wade Unwin ◽  
Louis Sanzogni ◽  
Kuldeep Sandhu

This chapter examines the adoption of information technology and information systems to support the clinical process. It explores popular models of information systems adoption and success, and relates these to the health it context. The end result of successful adoption of technology should be the improvement in performance of health care delivery, yet measurement of performance is complex. The various approaches to performance measurement are discussed. As one of the challenges in predicting the outcomes of adoption is the lack of consistent taxonomy, a solution to which is proposed. The chapter then looks at evaluation of it projects and considers what special factors may affect health it adoption and benefits in developing health care systems.


Author(s):  
V. Mareeswari ◽  
E. Sathiyamoorthy

Everyday activities are equipped with smart intellectual possessions in the modern Internet domain for which a wide range of web services are deployed in business, health-care systems, and environmental solutions. Entire services are accessed through web applications or hand-held computing devices. The recommender system is more prevalent in commercial applications. This research predicts the preference of consumers and lists the recommended services in order of ranking for consumers to choose services in a short time span. This proposed approach aims to offer the exact prediction of missing QoS (quality of service) value of web services at a specified time slice. The uncertainty of QoS value has been predicted using the cloud model theory. The focus is to give the global ranking using the aggregated ranking of the consumer's ranking list, which has been obtained through the Kemeny optimal aggregation algorithm. In this work, multidimensional QoS data of web services have experimented and given an accurate prediction and ranking in the web environment.


2017 ◽  
Vol 56 (S 01) ◽  
pp. e20-e29 ◽  
Author(s):  
Najeeb Al-Shorbaji ◽  
Elizabeth Borycki ◽  
Michio Kimura ◽  
Christoph Lehmann ◽  
Nancy Lorenzi ◽  
...  

SummaryThis article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper “Representation of People’s Decisions in Health Information Systems: A Complementary Approach for Understanding Health Care Systems and Population Health” written by Fernan Gonzalez Bernaldo de Qui-ros, Adriana Ruth Dawidowski, and Silvana Figar. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the paper of de Quiros, Dawidowski, and Figar. In subsequent issues the discussion can continue through letters to the editor.


2019 ◽  
Vol 8 (6) ◽  
pp. 834 ◽  
Author(s):  
Esmé Eggink ◽  
Eric P. Moll van Charante ◽  
Willem A. van Gool ◽  
Edo Richard

The global number of people living with dementia is expected to increase to 130 million in 2050. Based on extensive evidence from observational studies, it is estimated that about 30% of dementia cases may be attributable to potentially modifiable risk factors. This suggests that interventions targeting these factors could perhaps delay or prevent the onset of dementia. Since the vast majority of people with dementia live in low- and middle-income countries, such interventions should preferably be easy and affordable to implement across a wide range of health care systems. However, to date, results from dementia prevention trials do not provide convincing evidence that treatment of these risk factors reduces the risk of dementia. The current paper aims to give an overview of available evidence for the potential for dementia prevention. In particular, we discuss methodological issues that might complicate the development of effective prevention interventions and explore the opportunities and challenges for future dementia prevention research. Currently, several ongoing and planned trials are testing the effect of multi-domain interventions on dementia risk in high-risk populations. It is desirable that future dementia strategies also target the wider population, through interventions on the individual, community, and population level, in order to constrain the growing prevalence of dementia worldwide.


2021 ◽  
Vol 9 ◽  
Author(s):  
Joseph Beyene ◽  
Solomon W. Harrar ◽  
Mekibib Altaye ◽  
Tessema Astatkie ◽  
Tadesse Awoke ◽  
...  

Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, health discovery and innovations. However, data are just the raw material required to generate new knowledge, not knowledge on its own, as a pile of bricks would not be mistaken for a building. In order to solve complex scientific problems, appropriate methods, tools and technologies must be integrated with domain knowledge expertise to generate and analyze big data. This integrated interdisciplinary approach is what has become to be widely known as data science. Although the discipline of data science has been rapidly evolving over the past couple of decades in resource-rich countries, the situation is bleak in resource-limited settings such as most countries in Africa primarily due to lack of well-trained data scientists. In this paper, we highlight a roadmap for building capacity in health data science in Africa to help spur health discovery and innovation, and propose a sustainable potential solution consisting of three key activities: a graduate-level training, faculty development, and stakeholder engagement. We also outline potential challenges and mitigating strategies.


2020 ◽  
Author(s):  
Mehraban shahmari ◽  
Alireza Nikbakht Nasrabadi ◽  
Akram ghobadi

Abstract Background: Covid-19 pandemic with its sudden and widespread global outbreak has stunned health care systems. Nurses are at the forefront of fight against this pandemic, and Intensive care unit (ICU) nurses are more at risk of infection as they have a greater interaction with infected patients. Therefore, the present study was conducted to explore the lived experiences of Iranian ICU nurses in the care of patients with covid-19.Methods: This is an interpretive phenomenological study in which, 15 ICU nurses were purposefully selected. Semi-structured in-depth interviews were used to collect data. The transcripts of the interviews were recorded and then analyzed by Diekelmann (1989) method with hermeneutic approach.Results: Ten of the samples were female and five were male. The mean age of participants was 32 years and their average work experience in the intensive care unit was 6 years. Three main themes were obtained from data analysis, including beyond usual care, the emergence of a new image of nursing and the Realization of professional challenges. Conclusion: Working in difficult and unknown conditions with many challenges caused mental and physical depreciation of nurses in the intensive care unit. However, the nurses showed a spirit of self-sacrifice and did not give up their relentless efforts to fight this unknown enemy, and fulfilled their professional responsibilities to provide the best care to patients. By doing so, the nurses showed a new image of nursing to the society. Therefore, full support should be provided to healthcare workers, especially nurses by the authorities in order to prepare them to respond to unwanted crises.


Author(s):  
David Margolius ◽  
Mary Hennekes ◽  
Jimmy Yaho ◽  
Douglas Einstadter ◽  
Douglas Gunzler ◽  
...  

ABSTRACT Importance: Severe acute respiratory syndrome coronavirus (SARS-CoV-2) and the associated coronavirus disease of 2019 (COVID-19) have presented immense challenges for health care systems. Many regions have struggled to adapt to disruptions to health care practice and employ systems that effectively manage the demand for services. Objective: To examine the effectiveness of the first five weeks of a 24/7 physician-staffed COVID-19 hotline. Design: Cohort study using electronic health records. Setting: A single large health care system in Northeast Ohio. Participants: During 5 weeks of operation, 10,112 patients called the hotline (callers) and were evaluated by a registered nurse (RN) using standardized protocols. Of these, 4,213 (42%) were referred for a physician telehealth visit (telehealth patients). The mean age of callers was 42 years. 67% were female, 51% white, and 46% were on Medicaid or uninsured. Intervention: Physician telehealth visits for COVID-19. Main Outcomes and Measures: We describe clinical diagnosis, patient characteristics (age, sex race/ethnicity, smoking status, insurance status), and visit disposition. We use logistic regression to evaluate associations between patient characteristics, visit disposition and subsequent emergency department use, hospitalization, and SARS-Cov-2 PCR testing. Results: Common caller concerns included cough, fever, and shortness of breath. Most telehealth patients (79%) were advised to self-isolate at home, 14% were determined to be unlikely to have COVID-19, 3% were advised to seek emergency care, and 4% had miscellaneous other dispositions. A total of 287 (7%) patients had a subsequent ED visit, and 44 (1%) were hospitalized with a COVID-19 diagnosis. Of the callers, 482 (5%) had a COVID-19 test reported with 69 (14%) testing positive. Among patients advised to stay at home, 83% had no further face-to-face visits. In multivariable results, only a physician recommendation to seek emergency care was associated with emergency room use (OR=4.73, 95%CI 1.37-16.39, p=.014). Only older age was associated with having a positive test result. Conclusions and Relevance: Robust, physician-directed telehealth services can meet a wide range of needs during the acute phase of a pandemic, conserving scarce resources such as personal protective equipment and testing supplies and preventing the spread of infections to patients and health care workers.


2012 ◽  
Vol 2 (3) ◽  
pp. 9-23
Author(s):  
Jane Fitzpatrick

Women across the world migrate for a wide range of reasons. Some gravitate to urban centres in their own countries seeking safety, education, health care, and employment opportunities. Others travel across national boundaries seeking reprieve from the atrocities of war and extreme poverty. Migration within countries is on the rise, as people move in response to adverse conditions such as lack of resources, services and education, and employment opportunities. In addition they may want to escape from violence or natural disasters. This movement of people from rural to urban areas has resulted in an explosive growth of cities around the globe. This paper draws on a research case study undertaken with the Kewapi language group in Port Moresby and the Batri Villages of the Southern Highlands in Papua New Guinea. It seeks to highlight the perspectives of women traveling vast distances from their home communities in order to seek education and health care. It explores the implications for developing effective service user focused health care systems designed to meet the needs of mobile and vulnerable women. The study suggests that if women and their families from remote rural communities are encouraged and facilitated in participating in health promoting initiatives they can dramatically improve their life and health experiences and that of their community.


2020 ◽  
Vol 35 (9) ◽  
pp. 927-932
Author(s):  
Robert Canelli ◽  
Nicole Spence ◽  
Nisha Kumar ◽  
Gerardo Rodriguez ◽  
Mauricio Gonzalez

The coronavirus disease 2019 pandemic resulted in unprecedented numbers of patients with respiratory failure requiring ventilatory support. The number of patients who required critical care quickly outpaced the availability of intensive care unit (ICU) beds. Consequently, health care systems had to creatively expand critical care services into alternative hospital locations with repurposed staff and equipment. Deploying anesthesia workstations to the ICU to serve as mechanical ventilators requires equipment preparation, multidisciplinary planning, and targeted education. We aim to contextualize this process, highlighting major differences between anesthesia workstations and ICU ventilators, and to share the insights gained from our experiences creating an anesthesia provider-based ventilator management team.


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