scholarly journals Measuring the impact of blockchain on healthcare applications

2019 ◽  
Author(s):  
Constantinos Loizou ◽  
Dimka Karastoyanova ◽  
Christos N. Schizas
Keyword(s):  
Healthcare Applications ◽  
The Impact

The relationship between patient donation and satisfaction with online healthcare service quality

2019 ◽  
Vol 47 (12) ◽  
pp. 1-10
Author(s):  
Yuanrong Hu ◽  
Shengkang Lu ◽  
Zhongming Tang
Keyword(s):  
Patient Satisfaction ◽  
Healthcare Service ◽  
Outcome Quality ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Process And Outcome ◽  
Patient Consultation ◽  
The Impact ◽  
The Relationship

We explored how donation relates to patient satisfaction with the quality of process and outcome in an online healthcare service. Using a dataset of 496,723 patient consultation records collected from ChunyuDoctor, which is among the largest of the Chinese mobile healthcare applications, we conducted a multiple regression and found that patient satisfaction with both process and outcome jointly influenced their donation. We also found that higher quality satisfaction levels meant paying patients were more likely to donate than were free patients. Our results also showed satisfaction with the quality of the process and the outcome had an equal impact on patient donation for the free patients, but the impact of process quality was greater than that of outcome quality for the paying patients, suggesting the importance of enhancing the quality of the process in an online healthcare service. Implications of the findings are discussed.

Improving Global Health With Smartphone Technology

2019 ◽  
pp. 54-75
Author(s):  
Swateja Nimkar ◽  
Erin Elysia Gilles
Keyword(s):  
Global Health ◽  
New Technologies ◽  
Access To Health Services ◽  
Healthcare Applications ◽  
Global Trends ◽  
Related Data ◽  
Access To Health ◽  
Smartphone Technology ◽  
The Impact ◽  
Mhealth Apps

The widespread use of smartphones makes them a popular platform for healthcare applications. This article reveals the global trends and overarching goals of mHealth initiatives that seek to enhance healthcare quality, increase access to health services, and improve global health communication. Three main themes emerged from this study: a) the impact of mHealth on international public health, b) overcoming mhealth barriers, and c) emerging mHealth technologies. The costs of developing mHealth apps and handling related data security concerns are the key barriers which need to be addressed to successfully implement global mHealth campaigns. Future directions of mHealth research are discussed, including the integration of new technologies, development of innovative healthcare systems, and overall improvement of global healthcare.

scholarly journals The Influence Mechanism of Information Interaction on Value Cocreation Based on the Smart Healthcare Context

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lan Zhang ◽  
Xiu Yang ◽  
Yuan Zhou ◽  
Jialu Sun ◽  
Zixiang Lin
Keyword(s):  
Interaction Mechanism ◽  
Healthcare Services ◽  
Chinese Government ◽  
Healthcare Applications ◽  
High Quality ◽  
Application Form ◽  
Smart Healthcare ◽  
Information Interaction ◽  
Value Cocreation ◽  
The Impact

In recent years, the Chinese government has issued a series of deepening reform policies around smart healthcare, established a diversified technical basis and environmental protection, and deeply excavated the derivative value of healthcare information, aiming to provide high-quality healthcare services for patients. Information interaction in the context of smart healthcare is a kind of health information interaction completed by users with smart healthcare applications as the hub. It is an application form of social behavior and has an impact on value cocreation. Based on the theory of information interaction and value cocreation, this paper systematically reviews the research on information interaction and value cocreation in the smart healthcare context, analyzes the information interaction mode and information interaction mechanism in the smart healthcare context, constructs a theoretical model of the impact of information interaction on value cocreation, and empirically tests the relationship between information interaction and value cocreation in the smart healthcare context. The research of this paper aims to provide high-quality information interaction services for smart healthcare users, promote the dimensional management of information behavior in the context of smart healthcare, and promote the continuous improvement of the operation and management of smart healthcare.

A Software Modeling Perspective of UMLS Semantic Network

2018 ◽  
pp. 305-322
Author(s):  
Rishi Kanth Saripalle
Keyword(s):  
Semantic Network ◽  
Medical Knowledge ◽  
Object Oriented ◽  
Semantic Knowledge ◽  
Software Modeling ◽  
Design And Development ◽  
Healthcare Applications ◽  
Modeling Framework ◽  
Healthcare Application ◽  
The Impact

The UMLS is a standard medical vocabulary developed by aggregating standard terminologies and sources from diverse healthcare domains, which encapsulates a broad spectrum of medical knowledge. The two primary knowledge sources of the UMLS are semantic network (SN) and metathesaurus (META). In the present state, the impact of the semantic knowledge captured by UMLS-SN on healthcare application is minimal or has no impact, as UMLS confines the UMLS-SN knowledge. Further, healthcare application design and development is achieved primarily by using sound software modeling principles and established object-oriented (OO) frameworks and languages. The goal of this chapter is to translate UMLS-SN knowledge into an OO modeling framework to utilize SN's knowledge in designing healthcare application. The result is the design and development of UMLS-SN, a custom metamodel by leveraging UML profile and metamodel. This specialized metamodel allows developers to design healthcare applications that are coherent with object-oriented modeling and software engineering approaches.

Internet of Things-Based Healthcare Applications

2020 ◽  
pp. 1-28 ◽  
Author(s):  
Seema Ansari ◽  
Tahniyat Aslam ◽  
Javier Poncela ◽  
Pablo Otero ◽  
Adeel Ansari
Keyword(s):  
Internet Of Things ◽  
Healthcare Systems ◽  
Health Improvement ◽  
Monitoring Systems ◽  
Healthcare Applications ◽  
Iot Applications ◽  
History Of ◽  
Healthcare Monitoring ◽  
The Difference ◽  
The Impact

The demand for global healthcare systems for human health improvement is ever growing. Internet of things (IoT) has influenced every industry in the market. IoT-based healthcare monitoring systems have emerged using smart gateways between sensor networks and the internet. This chapter aims at focusing on the impact of IoT on healthcare and explores the difference that IoT has made in the recent years. IoT applications in healthcare have helped people keep track of their medical requirements such as reminding them of appointments, keeping a check on calorie count, variations in blood pressure, a check on exercises, and many more. In this chapter, studies of IoT-based healthcare applications are presented. The chapter begins with the introduction and history of IoT in healthcare, sharing state of the art, architecture, applications of IoT in healthcare, advantages, future concerns and challenges, and future of IoT in healthcare, followed by conclusion.

scholarly journals Ontology-based IoT healthcare systems (IHS) for Senior Citizens

2021 ◽  
Vol 6 (2) ◽  
pp. 0-0
Keyword(s):  
Senior Citizens ◽  
Healthcare Services ◽  
Healthcare Systems ◽  
The Internet ◽  
Healthcare Applications ◽  
Smooth Flow ◽  
Incremental Growth ◽  
Current Scenario ◽  
The Impact ◽  
The Internet Of Things

Rapid incremental growth in population causes the virulence of infectious diseases worldwide. Due to this, health hazards with population growth raise pollution in the air, water, and soil and affect the immunity of individuals. To handle the situation, reliable and easy to reach healthcare services are required. The proliferation of connected technologies along with the Internet of Things (IoT) is providing modern healthcare with extensive care. All-pervading IoT technology gaining a very much attraction nowadays. This paper presents a brief about the E-Health Care System along with its framework. This attempt also presents the ontology approach as data produced by healthcare applications is vast and unstructured which needs to be organized in proper format with a smooth flow of data and also results in less request-response time. Further, this paper discusses the impact of the disease on senior citizens in the current scenario.

scholarly journals Disinfectants in Australia

2010 ◽  
Vol 31 (4) ◽  
pp. 165
Author(s):  
Greg Whitley
Keyword(s):  
Medical Devices ◽  
Regulatory Framework ◽  
Market Place ◽  
Healthcare Applications ◽  
Intended Application ◽  
Healthcare Settings ◽  
Controversial Topic ◽  
The Impact

The use of disinfectants can be a controversial topic, particularly in healthcare settings. The TGA has regulated the higher risk products for healthcare applications since 1996, but the impact of this regulatory framework is largely unseen in what has become a relatively condensed and specialised market place. The APVMA regulates disinfectants and sanitisers and supervises critical use through AUSVETPLAN. The use of disinfectants in healthcare is completely user-dependent and the latest literature suggests that understanding the regulatory framework and the vulnerabilities of an intended application will assist in promoting appropriate hygiene standards for surfaces and medical devices (instruments).

Developing Relationship Among Risk Factors and Project Factors for Large Scale Healthcare Applications

2020 ◽  
Vol 10 (10) ◽  
pp. 2439-2445
Author(s):  
Sabeen Tahir ◽  
Basit Shahzad ◽  
Sheikh Tahir Bakhsh ◽  
Mohammed Basheri
Keyword(s):  
Risk Factors ◽  
Resource Allocation ◽  
Large Scale ◽  
Effective Control ◽  
Mixed Method Research ◽  
Application Development ◽  
Healthcare Applications ◽  
Damage Level ◽  
Software Risk ◽  
The Impact

The impact and probability of healthcare software risks are widely discussed in software risk management. The identification of healthcare software risk factor will not be useful without measuring its impact and probability. The impact filed determines the damage level of the risk factors if it appears, while the probability determines how probable is the existence of that risk. The risks of having high probability and higher impact levels have to be addressed urgently. The orientation of the risks takes place in response to unbalanced resource allocation. Establishing an association among the project factors and risk factors helps in gaining more effective control of the resource allocation to the healthcare application development. This paper identifies the conceptual and numerical association between the project factors and risk factors by conducting a mixed-method research analysis to optimize the resource allocation and reduce (eliminate) the software risks in large scale healthcare applications. The resultant associations between the project factors and risk factors are categorized as weak or strong based on the resultant data of this study and can be used as a guideline document for developing the large scale healthcare systems.

Developing Relationship Among Risk Factors and Project Factors for Large Scale Healthcare Applications

2020 ◽  
Vol 10 (10) ◽  
pp. 2439-2445
Author(s):  
Sabeen Tahir ◽  
Basit Shahzad ◽  
Sheikh Tahir Bakhsh ◽  
Mohammed Basheri
Keyword(s):  
Risk Factors ◽  
Resource Allocation ◽  
Large Scale ◽  
Effective Control ◽  
Mixed Method Research ◽  
Application Development ◽  
Healthcare Applications ◽  
Damage Level ◽  
Software Risk ◽  
The Impact

The impact and probability of healthcare software risks are widely discussed in software risk management. The identification of healthcare software risk factor will not be useful without measuring its impact and probability. The impact filed determines the damage level of the risk factors if it appears, while the probability determines how probable is the existence of that risk. The risks of having high probability and higher impact levels have to be addressed urgently. The orientation of the risks takes place in response to unbalanced resource allocation. Establishing an association among the project factors and risk factors helps in gaining more effective control of the resource allocation to the healthcare application development. This paper identifies the conceptual and numerical association between the project factors and risk factors by conducting a mixed-method research analysis to optimize the resource allocation and reduce (eliminate) the software risks in large scale healthcare applications. The resultant associations between the project factors and risk factors are categorized as weak or strong based on the resultant data of this study and can be used as a guideline document for developing the large scale healthcare systems.

scholarly journals The Analysis of the Impact of Yoga on Healthcare and Conventional Strategies for Human Pose Recognition

2021 ◽  
Vol 12 (6) ◽  
pp. 1772-1783
Author(s):  
Nagalakshmi Vallabhaneni, Dr. P. Prabhavathy
Keyword(s):  
Learning Strategies ◽  
Pose Estimation ◽  
Security And Privacy ◽  
Time Data ◽  
Healthcare Applications ◽  
Posture Recognition ◽  
Recognition Systems ◽  
Human Pose ◽  
The Impact ◽  
Privacy Issues

Human pose estimation is a profound, established computer vision issue that has uncovered numerous past difficulties. Breaking down human exercise is advantageous in multiple fields like surveillance, biometrics, and many healthcare applications. Workout with yoga poses is famous these days since yoga activities can expand adaptability and muscular quality, and the respiration procedure will be improvised. The yoga postures evaluation is hard to check, so specialists will most likely be unable to benefit from the exercises ultimately. IoT-based yoga frameworks are required for individuals who need to rehearse Yoga at home. A few studies are recommended camera-oriented or wearable gadget-oriented yoga posture finding strategies with more precision. Nonetheless, camera-based plans have security and privacy issues, and the wearable device-based methods are illogical in the earlier applications. To build such systems, one must have a strong foundation and current research in pose estimation. In this paper, first, the impact of Yoga on humans with various stress levels is analysed on the real-time data. Second, the comprehensive review of yoga posture recognition systems from machine learning to deep learning strategies and evaluation metrics discussed

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