scholarly journals From Theory to Real-World Integration: Implementation Science and Beyond

2020 ◽  
pp. 143-157
Author(s):  
Giulia Dagliana ◽  
Sara Albolino ◽  
Zewdie Mulissa ◽  
Jonathan Davy ◽  
Andrew Todd
Keyword(s):  
Healthcare Systems ◽  
World Health ◽  
Quality Healthcare ◽  
Levels Of Care ◽  
Healthcare Settings ◽  
System A ◽  
Causes Of Mortality ◽  
Health Organization ◽  
System 1 ◽  
Different Characteristics

AbstractThe increasing complexity and dynamicity of our society (and world of work) have meant that healthcare systems have and continue to change and consequently the state of healthcare systems continues to assume different characteristics. The causes of mortality are an excellent example of this rapid transformation: non-communicable diseases have become the leading cause of death, according to World Health Organization (WHO) data, but at the same time there are new problems emerging such as infectious diseases, like Ebola or some forms of influenza, which occur unexpectedly or without advanced warning. Many of these new diseases diffuse rapidly through the different parts of the globe due to the increasingly interconnected nature of the world. Another example of the healthcare transformation is the innovation associated with the introduction and development of advanced communication and technology systems (such as minimally invasive surgery and robotics, transplantation, automated antiblastic preparation) at all levels of care. Consequently, the social and technical dimensions of healthcare are becoming more and more complex and provide a significant challenge for all the stakeholders in the system to make sense of and ensure high quality healthcare. These stakeholders include but are not limited to patients and their families, caregivers, clinicians, managers, policymakers, regulators, and politicians. It is an inescapable truth that Humans are always going to be part of the healthcare systems, and it is these human, who by their very nature introduce variability and complexity to the system (we do not necessarily view this as a negative and this chapter will illustrate). A microlevel a central relationship in focus is that between the clinician and the patient, two human beings, making the health system a very peculiar organization compared to similarly high-risk organizations such as aviation or nuclear energy. This double human being system [1] requires significant effort (good design) in managing unpredictability through the development of personal and organization skills, such as the ability to react positively and rapidly to unexpected events and to adopt a resilient strategy for survival and advancement. In contrast to other similar industries, in terms of level of risk and system safety, healthcare settings are still plagued by numerous errors and negative events involving humans (and other elements) at various levels within the system. The emotional involvement is very high due to the exposure to social relationships daily and results in significant challenges to address both technical and non-technical issues simultaneously.

Healthcare Management During a Pandemic: The Other Side of the Coin for the Treatment of Covid-19 Infection

2021 ◽  
Vol 21 ◽  
Author(s):  
Danila De Vito ◽  
Antonio Fusco ◽  
Caterina Benincasa ◽  
Luca Laghi ◽  
Francesco M. Ceruso
Keyword(s):  
Healthcare Systems ◽  
Healthcare Management ◽  
World Health ◽  
Industrialized Countries ◽  
Negative Effects ◽  
Positive Effects ◽  
Worldwide Population ◽  
Related Risk ◽  
The Social ◽  
Health Organization

Background: World Health Organization (WHO) has increasingly improved the guidelines to tackle the spread of Coronavirus Disease 2019 (COVID-19) among the worldwide population. In this context, each country has introduced specific social, healthcare, political and macroeconomic measures to face COVID pandemic locally. Objective: The general aim of this comparative overview is to highlight the most significant effects of COVID-19 pandemic on the main healthcare systems. Also, we critically analyzed the macroeconomic variables and the most promising solutions to improve both healthcare system and its related risk management, taking into specific consideration the most industrialized countries. Method: The main strategy has been built on a renewed concept of the hospital, rebuilding the old concepts of “triage” and “intensive care”. Recently, COVID-19 hospitals have allowed to cater the patients affected by COVID-19. Moreover, the reshaping of several healthcare policies and requirements has led to several positive effects, such as the recruitment of a huge number of human resources in the healthcare systems. Nevertheless, several negative effects have also impacted the communities mostly subjected to infections. Conclusion: Undoubtedly, the national healthcare systems have somehow addressed the people’s needs, trying not to neglect the social, healthcare, economic and political aspects. In our overview, we have reported how the different actions taken in the last months, have resulted in different outcomes.

scholarly journals Optimal Length of Heart Rate Variability Data and Forecasting Time for Ventricular Fibrillation Prediction Using Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Da Un Jeong ◽  
Getu Tadele Taye ◽  
Han-Jeong Hwang ◽  
Ki Moo Lim
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Ventricular Fibrillation ◽  
World Health ◽  
Artificial Neural Network Classifier ◽  
Life Threatening ◽  
Causes Of Mortality ◽  
Health Organization ◽  
Forecast Time ◽  
Data Length

Ventricular fibrillation (VF) is a cardiovascular disease that is one of the major causes of mortality worldwide, according to the World Health Organization. Heart rate variability (HRV) is a biomarker that is used for detecting and predicting life-threatening arrhythmias. Predicting the occurrence of VF in advance is important for saving patients from sudden death. We extracted features from seven HRV data lengths to predict the onset of VF before nine different forecast times and observed the prediction accuracies. By using only five features, an artificial neural network classifier was trained and validated based on 10-fold cross-validation. Maximum prediction accuracies of 88.18% and 88.64% were observed at HRV data lengths of 10 and 20 s, respectively, at a forecast time of 0 s. The worst prediction accuracy was recorded at an HRV data length of 70 s and a forecast time of 80 s. Our results showed that features extracted from HRV signals near the VF onset could yield relatively high VF prediction accuracies.

scholarly journals Impact of nanosystems in Staphylococcus aureus biofilms treatment

2019 ◽  
Author(s):  
Rita M Pinto ◽  
Daniela Lopes-de-Campos ◽  
M Cristina L Martins ◽  
Patrick Van Dijck ◽  
Cláudia Nunes ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Antibiotic Therapy ◽  
Economic Burden ◽  
Surgical Procedure ◽  
Healthcare Systems ◽  
World Health ◽  
Small Particles ◽  
The World ◽  
New Strategy ◽  
Health Organization

ABSTRACT Staphylococcus aureus (S. aureus) is considered by the World Health Organization as a high priority pathogen for which new therapies are needed. This is particularly important for biofilm implant-associated infections once the only available treatment option implies a surgical procedure combined with antibiotic therapy. Consequently, these infections represent an economic burden for Healthcare Systems. A new strategy has emerged to tackle this problem: for small bugs, small particles. Here, we describe how nanotechnology-based systems have been studied to treat S. aureus biofilms. Their features, drawbacks and potentialities to impact the treatment of these infections are highlighted. Furthermore, we also outline biofilm models and assays required for preclinical validation of those nanosystems to smooth the process of clinical translation.

Possibility of breastfeeding support during the COVID-19 pandemic: a review of world and Russian protocols

2020 ◽  
Vol 18 (4) ◽  
pp. 5-16
Author(s):  
O.L. Lukoyanova ◽  
◽  
T.E. Borovik ◽  
A.P. Fisenko ◽  
V.A. Skvortsova ◽  
...  
Keyword(s):  
Breast Milk ◽  
World Health ◽  
Breastfeeding Support ◽  
Healthcare Settings ◽  
Milk Bank ◽  
Expressed Breast Milk ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
Health Organization ◽  
Current Guidelines

The review analyses the available literature on the main principles of breastfeeding support in cases of confirmed/suspected novel coronavirus infection in breastfeeding mothers. Various approaches to management of mother and baby in the conditions of the COVID-19 pandemic have been studied that found reflection in the protocols of the World Health Organization, Chinese, American and European medical communities. The evolution of Russian recommendations is analysed. A rationale is offered for the current guidelines on temporary mother-child separation in the healthcare settings when maternal COVID-19 is suspected/confirmed and on the organization of infant feeding with expressed maternal milk. The literature on the nutritional and biological value and the safety of expressed breast milk stored in various conditions is reviewed. Practical advice is given on organization of an individual breast milk bank at home. Key words: breastfeeding, breast milk, individual milk bank, coronavirus infection, newborns, COVID-19 pandemic, breast milk expression

Respiratory Protection by Respirators: The Predictive Value of User Seal Check for the Fit Determination in Healthcare Settings

2011 ◽  
Vol 32 (4) ◽  
pp. 402-403 ◽  
Author(s):  
Simon Ching Lam ◽  
Joseph Kok Long Lee ◽  
Linda Yin King Lee ◽  
Ka Fai Wong ◽  
Cathy Nga Yan Lee
Keyword(s):  
Electronic Device ◽  
World Health ◽  
Respiratory Pathogens ◽  
Respiratory Protection ◽  
Healthcare Settings ◽  
The World ◽  
Fit Testing ◽  
Control And Prevention ◽  
Health Organization ◽  
N95 Respirators

The N95 respirator is one type that is recommended by the World Health Organization and the Centers for Disease Control and Prevention (CDC) to prevent inhalation of droplets that may act to transmit respiratory pathogens. However, the reliability of this respirator to prevent transmission is dependent on how well it is fitted to the wearer. For ill-fitting respirators, the average penetration by ambient aerosol was found to be 33%, compared with 4% for well-fitting respirators. Such penetration or leakage may be caused by the gap between the respirator and the wearer's face. Therefore, formal fit testing should be carried out prior to the use of N95 respirators. Quantitative fit testing measures “the adequacy of respirator fit by numerically measuring the amount of leakage into the respirator” using an electronic device.

scholarly journals Clinical Pharmacist Intervention in Improving Health Outcomes by Reducing Physician’s Burden and Medication Errors: A Proposed Model

2020 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
Masood Raza Shahid ◽  
◽  
Ahmer Raza Muhammad ◽  
Aziz Shireen ◽  
Shahzad Sana ◽  
...  
Keyword(s):  
Clinical Pharmacist ◽  
Pharmacist Intervention ◽  
Health Care Team ◽  
World Health ◽  
Special Role ◽  
Team Members ◽  
Healthcare Settings ◽  
Proposed Model ◽  
Health Organization

Healthcare is a team effort. Each healthcare provider is like a member of the team with a special role. Some team members are doctors or technicians who help in diagnosing disease. Others are experts who help in treating disease or care for patients’ physical and emotional needs. Understanding the role of each member in healthcare settings can reduce the burden of duties. According to World Health Organization (WHO) reports, burden of workload on physicians is the main cause of medical errors each day practice and thousands of people die as a result each year. Such errors can be minimized by reducing the workload on physicians and strengthening the role of clinical pharmacists in healthcare settings. Key words: Health care; Team Members; Physicians; Clinical Pharmacist

scholarly journals The closed head injury with the hematoma formation of stroke: the analysis of the clinical case

2015 ◽  
pp. 15-19
Author(s):  
N. K. Svyrydova ◽  
N. O. Kravchuk ◽  
N. l. Ingula ◽  
S. O. Lishnevskyi ◽  
A. S. Bondarenko ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Clinical Case ◽  
Closed Head Injury ◽  
World Health ◽  
Hematoma Formation ◽  
The World ◽  
Closed Head ◽  
Causes Of Mortality ◽  
Health Organization

According to the World Health Organization (WHO) annually in the world traumatic brain injury (TBI) are about 10 million people, of whom 1.5 million die (9.0% of all causes of mortality), and another 2.4 million are disabled. The incidence of TBI is 1,8-5,4 per 100 thousand population, according to WHO, every year it increases by 2%. In Ukraine there is a TBI each year almost 100-200 thousand. Victims, about 1 million. Establish disability due to TBI. In 50-90% of patients after brain injury neurological symptoms persist or new emerging neurological syndromes that cause disability in 45% of them. Every year in Ukraine die from TBI 10-11 thousand citizens, in accordance mortality of 2.4 cases per 10 thousand population (USA- 1.8-2.2 per 10,000 per year).

scholarly journals Efficiency of hybrid algorithm for COVID-19 online screening test based on its symptoms

2022 ◽  
Vol 25 (1) ◽  
pp. 440
Author(s):  
Mohd Kamir Yusof ◽  
Wan Mohd Amir Fazamin Wan Hamzah ◽  
Nur Shuhada Md Rusli
Keyword(s):  
Data Storage ◽  
Hybrid Algorithm ◽  
String Matching ◽  
Data Retrieval ◽  
World Health ◽  
Screening Process ◽  
System A ◽  
Extensible Markup ◽  
Health Organization ◽  
Hashing Algorithm

The coronavirus COVID-19 is affecting 196 countries and territories around the world. The number of deaths keep on increasing each day because of COVID-19. According to World Health Organization (WHO), infected COVID-19 is slightly increasing day by day and now reach to 570,000. WHO is prefer to conduct a screening COVID-19 test via online system. A suitable approach especially in string matching based on symptoms is required to produce fast and accurate result during retrieving process. Currently, four latest approaches in string matching have been implemented in string matching; characters-based algorithm, hashing algorithm, suffix automation algorithm and hybrid algorithm. Meanwhile, extensible markup language (XML), JavaScript object notation (JSON), asynchronous JavaScript XML (AJAX) and JQuery tehnology has been used widelfy for data transmission, data storage and data retrieval. This paper proposes a combination of algorithm among hybrid, JSON and JQuery in order to produce a fast and accurate results during COVID-19 screening process. A few experiments have been by comparison performance in term of execution time and memory usage using five different collections of datasets. Based on the experiments, the results show hybrid produce better performance compared to JSON and JQuery. Online screening COVID-19 is hopefully can reduce the number of effected and deaths because of COVID.

Sign in / Sign up

Export Citation Format

Share Document