A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector

2020 ◽  
pp. 37-49 ◽  
Author(s):  
Shaikha F. S. Alhashmi ◽  
Muhammad Alshurideh ◽  
Barween Al Kurdi ◽  
Said A. Salloum
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Health Care ◽  
Health Care Sector ◽  
Factors Affecting

scholarly journals Identifying Occupational and Non-Occupational Factors Affecting the Retention of Health Care Employees in the Covid-19 Pandemic: A Systematic Review Study

2021 ◽  
Vol 9 (1) ◽  
pp. 15-32
Author(s):  
Masoud Khosravipour ◽  
Payam Khanlari ◽  
Mohammad Reza Jafari ◽  
◽  
◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Occupational Factors ◽  
Factors Affecting ◽  
Health Care Employees ◽  
Review Study

Taming Artificial Intelligence in Psychiatry and Pain Medicine

2020 ◽  
pp. 399-412
Author(s):  
Usef Faghihi ◽  
Sioui Maldonado-Bouchard ◽  
Mario Incayawar
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Health Care ◽  
Deep Learning ◽  
State Of The Art ◽  
Daily Life ◽  
Health Care Sector ◽  
Human Cells ◽  
Pain Medicine ◽  
Medical Field

Today, deep learning (DL) algorithms are intertwined with our daily life. This subdomain of artificial intelligence (AI) technology is used to unlock your phone by only detecting your face, find the best path from work to your home or vice versa, or detect anomalies in the human cells taken for lab tests. Yet, although AI technology is helping in many fields, whether it has done so in the medical field is debatable. DL lacks reasoning; it is unable to determine the causes of events. This is especially crucial when it comes to the health care sector. At this point, computers cannot help physicians with their duties. On the contrary, they are the cause of burnout in more than half of physicians in United States. One of the causes of burnout repeatedly pointed out by physicians is the digitalization of medicine. This chapter presents some of the AI approaches that could help physicians. It also discusses the current limitations and dangers inherent to many of today’s state-of-the-art AI systems. The authors provide some ideas about the future of AI in pain medicine and psychiatry.

scholarly journals Systematic Review: Affecting Behaviour of Hygiene and Health Care of the Eldery

2021 ◽  
Vol 9 (1) ◽  
pp. 69
Author(s):  
Windya Kartika Paramita
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
The Elderly ◽  
Functional Health ◽  
Whole Body ◽  
Personal Hygiene ◽  
Primary Data ◽  
Dominant Factor ◽  
Factors Affecting ◽  
Care For The Elderly

Background: The Elderly is an age group that has decreased organ function which is susceptible to various diseases. The elderly also experience physical decline which can affect personal hygiene and health care behavior. Objective: To determine the factors that affect the personal hygiene and health care of the elderly. Method: Personal hygiene referred to in this study was hygiene to care for the whole body including skin, feet, teeth, nails, and hair. This study was a systematic review of studies with primary data related to factors affecting personal hygiene and health care for the elderly. The study was conducted on 35 international journals. Results: Personal hygiene of the elderly are feet. Factors that influence their hygiene on demographic factors include residence, education, source of income, gender, age, and knowledge. Factors affecting elderly hygiene on personal characteristic factors include need assistance, perceived benefits, disease, frequency of cleansing, self-efficacy, physical change, degree of independence, mobility, and self-motivation. Factors affecting them on facilities and infrastructure factors supporters include equipment, care services facilities, equipment, distance to care service facilities, social support, and practical conditions. Factors affecting on healthy program factors include training, education caregiver, motivation caregiver, health promotion, health information seeking, satisfaction, informal care, behavioral programs, utilization, and functional health literacy. Conclusion: Factors affecting personal hygiene and health care for the elderly include demographics, characteristics of the elderly, supporting facilities, and infrastructure and health programs. Dominant factor affecting personal hygiene and health care for elderly are educational, residence, and income source.

A Study on Role of A.I. and Robotics in Health Care Sector: Its Impact and Contribution

2021 ◽  
Vol 07 (3&4) ◽  
pp. 7-14
Author(s):  
Devnath Jayaswal ◽  
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Deep Learning ◽  
Health Care Sector ◽  
Healthcare Sector ◽  
Current Scenario ◽  
Health Complications ◽  
And Robotics ◽  
Major Domain

Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.

scholarly journals The effectiveness of health-oriented leadership interventions for the improvement of mental health of employees in the health care sector: a systematic review

2020 ◽  
Author(s):  
Felicitas Stuber ◽  
Tanja Seifried-Dübon ◽  
Monika A. Rieger ◽  
Harald Gündel ◽  
Sascha Ruhle ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Health Care ◽  
Leadership Behavior ◽  
Health Care Sector ◽  
Screening Process ◽  
Hand Search ◽  
Staff Members ◽  
Work Related ◽  
Business Source Premier

Abstract Purpose An increasing prevalence of work-related stress and employees’ mental health impairments in the health care sector calls for preventive actions. A significant factor in the workplace that is thought to influence employees’ mental health is leadership behavior. Hence, effective leadership interventions to foster employees’ (leaders’ and staff members’) mental health might be an important measure to address this pressing issue. Methods We conducted a systematic review according to the PRISMA statement (Liberati et al. 2009) and systematically searched the following databases: PubMed (PMC), Web of Science, PsycINFO (EBSCOhost), EconLit (EBSCOhost), and Business Source Premier (EBSCOhost). In addition, we performed a hand search of the reference lists of relevant articles. We included studies investigating leadership interventions in the health care sector that aimed to maintain/foster employees’ mental health. Results The systematic search produced 11,221 initial search hits in relevant databases. After the screening process and additional literature search, seven studies were deemed eligible according to the inclusion criteria. All studies showed at least a moderate global validity and four of the included studies showed statistically significant improvements of mental health as a result of the leadership interventions. Conclusions Based on the findings, leadership interventions with reflective and interactive parts in group settings at several seminar days seem to be the most promising strategy to address mental health in health care employees. As the available evidence is limited, efforts to design and scientifically evaluate such interventions should be extended.

A Systematic Review of Sociodemographic, Macroeconomic, and Health Resources Factors on Life Expectancy

2021 ◽  
pp. 101053952098367
Author(s):  
Anak Agung Bagus Wirayuda ◽  
Moon Fai Chan
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Life Expectancy ◽  
Literature Search ◽  
Health Resources ◽  
Sociodemographic Factors ◽  
Health Care Facilities ◽  
Infant Mortality Rate ◽  
Macroeconomic Factors ◽  
Factors Affecting

Objective This review was aimed at systematically synthesizing and appraising the existing literature of sociodemographic, macroeconomic, and health resources factors on life expectancy. Methods A systematic literature search of English databases, that is, PubMed/MEDLINE were scrutinized for exploring sociodemographic, macroeconomic, and health resources factors on life expectancy. The literature search was conducted in January 2020, covering a total of 46 articles from 2004 to 2019 met the review criteria, which were fully discussed subsequently. Findings Among sociodemographic factors, infant mortality rate, literacy rate, education level, socioeconomic status, population growth, and gender inequality have a significant impact on life expectancy. Gross domestic product, Gini, income level, unemployment rate, and inflation rate are the main macroeconomic factors that significantly correlated with life expectancy. Among various health care resources, health care facilities, the number of the health care profession, public health expenditure, death rates, smoking rate, pollution, and vaccinations had a significant correlation with life expectancy. Conclusions The systematic review showed general conformity of different studies, with a significant association between life expectancy and factors comprising several sociodemographic, macroeconomic, and various health care variables. This review found that only one study examined factors affecting life expectancy in Arabic countries. More studies on this region to fill this research gap were highly recommended.

scholarly journals The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review (Preprint)

2020 ◽  
Author(s):  
Madison Milne-Ives ◽  
Caroline de Cock ◽  
Ernest Lim ◽  
Melissa Harper Shehadeh ◽  
Nick de Pennington ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Health Care ◽  
Language Processing ◽  
Health Care Services ◽  
Interactive Voice Response ◽  
Future Research ◽  
Conversational Agents ◽  
Privacy And Security ◽  
Care Services

BACKGROUND The high demand for health care services and the growing capability of artificial intelligence have led to the development of conversational agents designed to support a variety of health-related activities, including behavior change, treatment support, health monitoring, training, triage, and screening support. Automation of these tasks could free clinicians to focus on more complex work and increase the accessibility to health care services for the public. An overarching assessment of the acceptability, usability, and effectiveness of these agents in health care is needed to collate the evidence so that future development can target areas for improvement and potential for sustainable adoption. OBJECTIVE This systematic review aims to assess the effectiveness and usability of conversational agents in health care and identify the elements that users like and dislike to inform future research and development of these agents. METHODS PubMed, Medline (Ovid), EMBASE (Excerpta Medica dataBASE), CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, and the Association for Computing Machinery Digital Library were systematically searched for articles published since 2008 that evaluated unconstrained natural language processing conversational agents used in health care. EndNote (version X9, Clarivate Analytics) reference management software was used for initial screening, and full-text screening was conducted by 1 reviewer. Data were extracted, and the risk of bias was assessed by one reviewer and validated by another. RESULTS A total of 31 studies were selected and included a variety of conversational agents, including 14 chatbots (2 of which were voice chatbots), 6 embodied conversational agents (3 of which were interactive voice response calls, virtual patients, and speech recognition screening systems), 1 contextual question-answering agent, and 1 voice recognition triage system. Overall, the evidence reported was mostly positive or mixed. Usability and satisfaction performed well (27/30 and 26/31), and positive or mixed effectiveness was found in three-quarters of the studies (23/30). However, there were several limitations of the agents highlighted in specific qualitative feedback. CONCLUSIONS The studies generally reported positive or mixed evidence for the effectiveness, usability, and satisfactoriness of the conversational agents investigated, but qualitative user perceptions were more mixed. The quality of many of the studies was limited, and improved study design and reporting are necessary to more accurately evaluate the usefulness of the agents in health care and identify key areas for improvement. Further research should also analyze the cost-effectiveness, privacy, and security of the agents. INTERNATIONAL REGISTERED REPORT RR2-10.2196/16934

scholarly journals The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review

10.2196/20346 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e20346
Author(s):  
Madison Milne-Ives ◽  
Caroline de Cock ◽  
Ernest Lim ◽  
Melissa Harper Shehadeh ◽  
Nick de Pennington ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Health Care ◽  
Language Processing ◽  
Health Care Services ◽  
Interactive Voice Response ◽  
Future Research ◽  
Conversational Agents ◽  
Privacy And Security ◽  
Care Services

Background The high demand for health care services and the growing capability of artificial intelligence have led to the development of conversational agents designed to support a variety of health-related activities, including behavior change, treatment support, health monitoring, training, triage, and screening support. Automation of these tasks could free clinicians to focus on more complex work and increase the accessibility to health care services for the public. An overarching assessment of the acceptability, usability, and effectiveness of these agents in health care is needed to collate the evidence so that future development can target areas for improvement and potential for sustainable adoption. Objective This systematic review aims to assess the effectiveness and usability of conversational agents in health care and identify the elements that users like and dislike to inform future research and development of these agents. Methods PubMed, Medline (Ovid), EMBASE (Excerpta Medica dataBASE), CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, and the Association for Computing Machinery Digital Library were systematically searched for articles published since 2008 that evaluated unconstrained natural language processing conversational agents used in health care. EndNote (version X9, Clarivate Analytics) reference management software was used for initial screening, and full-text screening was conducted by 1 reviewer. Data were extracted, and the risk of bias was assessed by one reviewer and validated by another. Results A total of 31 studies were selected and included a variety of conversational agents, including 14 chatbots (2 of which were voice chatbots), 6 embodied conversational agents (3 of which were interactive voice response calls, virtual patients, and speech recognition screening systems), 1 contextual question-answering agent, and 1 voice recognition triage system. Overall, the evidence reported was mostly positive or mixed. Usability and satisfaction performed well (27/30 and 26/31), and positive or mixed effectiveness was found in three-quarters of the studies (23/30). However, there were several limitations of the agents highlighted in specific qualitative feedback. Conclusions The studies generally reported positive or mixed evidence for the effectiveness, usability, and satisfactoriness of the conversational agents investigated, but qualitative user perceptions were more mixed. The quality of many of the studies was limited, and improved study design and reporting are necessary to more accurately evaluate the usefulness of the agents in health care and identify key areas for improvement. Further research should also analyze the cost-effectiveness, privacy, and security of the agents. International Registered Report Identifier (IRRID) RR2-10.2196/16934

Injury to the Human Median and Ulnar Nerves in the Forearm – Analysis of Costs for Treatment and Rehabilitation of 69 Patients in Southern Sweden

2005 ◽  
Vol 30 (1) ◽  
pp. 35-39 ◽  
Author(s):  
H. E. ROSBERG ◽  
K. S. CARLSSON ◽  
S. HÖJGÅRD ◽  
B. LINDGREN ◽  
G. LUNDBORG ◽  
...  
Keyword(s):  
Health Care ◽  
Nerve Injury ◽  
Ulnar Nerve ◽  
Tendon Injuries ◽  
Health Care Sector ◽  
Nerve Injuries ◽  
Southern Sweden ◽  
Factors Affecting ◽  
Factors Associated ◽  
Ulnar Nerve Injury

This study analysed the costs of median and ulnar nerve injuries in the forearm in humans and factors affecting such costs. The costs within the health-care sector and costs of lost production were calculated in 69 patients with an injury to the median and/or ulnar nerve in the forearm, usually caused by glass, a knife, or a razorblade. Factors associated with the variation in costs and outcome were analysed. The total median costs for an employed person with a median and an ulnar nerve injury were EUR 51,238 and EUR 31,186, respectively, and 87% of the total costs were due to loss of production. All costs were higher for patients with concomitant tendon injuries (≥4 tendons). The costs within the health-care sector were also higher for patients who changed work after the injury and if both nerves were injured. Outcome was dependent on age and repair method.

Sign in / Sign up

Export Citation Format

Share Document