Emerging trends and technologies in health informatics and intelligent nano devices for healthcare delivery

2015 ◽  
Keyword(s):  
Health Informatics ◽  
Healthcare Delivery ◽  
Emerging Trends

A UK Operational Practitioner View – some Challenges of Health Informatics are Trans-national

2002 ◽  
Vol 41 (01) ◽  
pp. 55-59
Author(s):  
J. Roberts
Keyword(s):  
Health Informatics ◽  
Common Ground ◽  
Healthcare Delivery ◽  
Different Dimensions ◽  
The Uk

Summary Objective: To explore the relevance of catalysts and inhibitors to the achievement of an inclusive identity for health informatics; particularly from an operational perspective in the UK. Methods: Consideration of the different dimensions of health informatics, as practised in a working healthcare delivery environment; specifically commenting on the synergy and disjunctions with academic and scientific practitioners in the same domain. Results and Conclusions: There appear to be common ground and internationally applicable issues across the domain. Recognising the differences and similarities will contribute towards harmonisation of the field and its ultimate elevation to a mature discipline and profession.

scholarly journals A Medical Informatics Perspective on Health Informatics 3.0

2011 ◽  
Vol 20 (01) ◽  
pp. 30-32
Author(s):  
P. Ruch ◽  
Keyword(s):  
Semantic Web ◽  
Health Informatics ◽  
Large Scale ◽  
Biomedical Data ◽  
Biomedical Knowledge ◽  
Data Set ◽  
Web 3.0 ◽  
Research Fields ◽  
Emerging Trends ◽  
Excellent Research

SummaryTo summarize current advances of the so-called Web 3.0 and emerging trends of the semantic web.We provide a synopsis of the articles selected for the IMIA Yearbook 2011, from which we attempt to derive a synthetic overview of the today’s and future activities in the field.while the state of the research in the field is illustrated by a set of fairly heterogeneous studies, it is possible to identify significant clusters. While the most salient challenge and obsessional target of the semantic web remains its ambition to simply interconnect all available information, it is interesting to observe the developments of complementary research fields such as information sciences and text analytics. The combined expression power and virtually unlimited data aggregation skills of Web 3.0 technologies make it a disruptive instrument to discover new biomedical knowledge. In parallel, such an unprecedented situation creates new threats for patients participating in large-scale genetic studies as Wjst demonstrate how various data set can be coupled to re-identify anonymous genetic information.The best paper selection of articles on decision support shows examples of excellent research on methods concerning original development of core semantic web techniques as well as transdisciplinary achievements as exemplified with literature-based analytics. This selected set of scientific investigations also demonstrates the needs for computerized applications to transform the biomedical data overflow into more operational clinical knowledge with potential threats for confidentiality directly associated with such advances. Altogether these papers support the idea that more elaborated computer tools, likely to combine heterogeneous text and data contents should soon emerge for the benefit of both experimentalists and hopefully clinicians.

Mobile Health and Telemedicine

2021 ◽  
pp. 1-18
Author(s):  
Alice Etim ◽  
David N. Etim ◽  
Jasmine Scott
Keyword(s):  
Mobile Health ◽  
Health Informatics ◽  
Healthcare Delivery ◽  
Health Expenditures ◽  
Cost Effective ◽  
Black Colleges ◽  
The Usa ◽  
The Cost ◽  
The U.S

In 2016, the U.S. Government health expenditures reached $3.35 trillion and the cost per person stood at $10,345. Health is seen as impacting both one's quality of life and finances. The Affordable Care Act (ACA) (2008 - 2016) brought the issue of cost to the forefront for all people especially those in the health disparate communities. Advances in health informatics coupled with new approaches to healthcare delivery may hold promise for this large industry in the USA that critically needs to be cost effective in order to sustain itself. This paper reports a study that investigated importance of health, mobile health (m-Health) and telemedicine awareness along with its adoption in a health disparate community that has one of the Historical Black Colleges & Universities (HBCUs) in the country. The findings were that, all participants owned a mobile (cell) phone with smart features. Although a large number them indicated that their health was very important to them, there was lack of awareness and adoption of m-Health and telemedicine.

The Application of Data Mining Techniques in Health Plan Population Management

2008 ◽  
pp. 1799-1809 ◽  
Author(s):  
Theodore L. Perry ◽  
Travis Tucker ◽  
Laurel R. Hudson ◽  
William Gandy ◽  
Amy L. Neftzger ◽  
...  
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Informatics ◽  
Healthcare Delivery ◽  
Data Sets ◽  
Data Intensive ◽  
Technology Industry ◽  
American Medical Informatics Association

Healthcare has become a data-intensive business. Over the last 30 years, we have seen significant advancements in the areas of health information technology and health informatics as well as healthcare modeling and artificial intelligence techniques. Health informatics, which is the science of health information,1 has made great progress during this period (American Medical Informatics Association). Likewise, data mining, which has been generally defined as the application of technology and statistical/mathematical methods to uncover relationships and patterns between variables in data sets, has experienced noteworthy improvements in computer technology (e.g., hardware and software) in addition to applications and methodologies (e.g., statistical and biostatistical techniques such as neural networks, regression analysis, and classification/segmentation methods) (Kudyba & Hoptroff, 2001). Though health informatics is a relatively young science, the impact of this area on the health system and health information technology industry has already been seen, evidenced by improvements in healthcare delivery models, information systems, and assessment/diagnostic tools.

Emerging Trends of Bioinformatics in Health Informatics

2021 ◽  
pp. 343-367
Author(s):  
Mahi Sharma ◽  
Shuvhra Mondal ◽  
Sudeshna Bhattacharjee ◽  
Neetu Jabalia
Keyword(s):  
Health Informatics ◽  
Emerging Trends

scholarly journals Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Timothy Jay Carney ◽  
Christopher Michael Shea
Keyword(s):  
Public Health ◽  
Health Systems ◽  
Health Informatics ◽  
Information Science ◽  
Situational Awareness ◽  
Systems Approach ◽  
Healthcare Delivery ◽  
Public Health Informatics ◽  
Healthcare Delivery System ◽  
Public Health Systems

Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, health informatics professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional’s toolkit.

scholarly journals Role reconfiguration: what ethnographic studies tell us about the implications of technological change for work and collaboration in healthcare

BMJ Leader ◽  
2021 ◽  
pp. leader-2020-000224
Author(s):  
Heloise Agreli ◽  
Ruthanne Huising ◽  
Marina Peduzzi
Keyword(s):  
Technological Change ◽  
Technology Implementation ◽  
Health Informatics ◽  
New Technologies ◽  
Digital Health ◽  
New Technology ◽  
Healthcare Delivery ◽  
Leadership Challenges ◽  
Health Occupations ◽  
Ethnographic Studies

New technologies including digital health and robotics are driving the evolution of healthcare. At the same time, healthcare systems are transitioning from a multiprofessional model approach of healthcare delivery to an interprofessional model. The concurrence of these two trends may represent an opportunity for leaders in healthcare because both require renegotiation of the complex division of work and enhanced interdependency. This review examines how the introduction of new technologies alters the role boundaries of occupations and interdependencies among health occupations. Based on a scoping review of ethnographic studies of technology implementation in a variety of contexts (from primary care to operating room) and of diverse technologies (from health informatics systems to robotics), we develop the concept of role reconfiguration to capture simultaneous adjustments of multiple, interdependent roles during technological change. Ethnographic and qualitative studies provide rich, detailed accounts of what people actually do and how their work and role is changed (or not) when a new technology arrives. Through a synthesis of these studies, we develop a typology of four types of role reconfiguration: negotiation, clarification, enlargement and restriction. We discuss leadership challenges in managing role reconfiguration and formulate four leadership priorities. We suggest that leaders: redesign roles proactively, paying attention to interdependencies; offer opportunities for collective learning about new technologies; ensure that knowledge of new technologies is distributed across roles and prepare to address resistance.

Mobile Health and Telemedicine

2020 ◽  
Vol 15 (1) ◽  
pp. 81-96
Author(s):  
Alice Etim ◽  
David N. Etim ◽  
Jasmine Scott
Keyword(s):  
Mobile Health ◽  
Affordable Care Act ◽  
Health Informatics ◽  
Cell Phone ◽  
Healthcare Delivery ◽  
Cost Effective ◽  
Black Colleges ◽  
The Usa ◽  
The Cost

In 2016, the U.S. Government health expenditures reached $3.35 trillion and the cost per person stood at $10,345. Health is seen as impacting both one's quality of life and finances. The Affordable Care Act (ACA) (2008 - 2016) brought the issue of cost to the forefront for all people especially those in the health disparate communities. Advances in health informatics coupled with new approaches to healthcare delivery may hold promise for this large industry in the USA that critically needs to be cost effective in order to sustain itself. This paper reports a study that investigated importance of health, mobile health (m-Health) and telemedicine awareness along with its adoption in a health disparate community that has one of the Historical Black Colleges & Universities (HBCUs) in the country. The findings were that, all participants owned a mobile (cell) phone with smart features. Although a large number them indicated that their health was very important to them, there was lack of awareness and adoption of m-Health and telemedicine.

Ethical Challenges of Telemedicine and Telehealth

2008 ◽  
Vol 17 (4) ◽  
pp. 401-416 ◽  
Author(s):  
BONNIE KAPLAN ◽  
SERGIO LITEWKA
Keyword(s):  
Health Promotion ◽  
Health Information ◽  
Social Services ◽  
Support Groups ◽  
Health Informatics ◽  
Electronic Mail ◽  
Information Technologies ◽  
Healthcare Delivery ◽  
Telephone Counseling ◽  
Ethical Challenges

As healthcare institutions expand and vertically integrate, healthcare delivery is less constrained by geography, nationality, or even by institutional boundaries. As part of this trend, some aspects of the healthcare process are shifted from medical centers back into the home and communities. Telehealth applications intended for health promotion, social services, and other activities—for the healthy as well as for the ill—provide services outside clinical settings in homes, schools, libraries, and other governmental and community sites. Such developments include health information web sites, on-line support groups, automated telephone counseling, interactive health promotion programs, and electronic mail exchanges. Concomitant with these developments is the growth of consumer health informatics, in which individuals seeking medical care or information are able to find various health information resources that take advantage of new information technologies.

scholarly journals Predicting the Heart Disease's using Machine Learning Techniques

2019 ◽  
pp. 125-125
Author(s):  
VVSSS Balaram
Keyword(s):  
Public Health ◽  
Health Informatics ◽  
Lead Time ◽  
Healthcare Delivery ◽  
Machine Learning Techniques ◽  
Rural Populations ◽  
Heart Problem ◽  
Privacy Concerns ◽  
Learning Techniques ◽  
Life Threatening

The research also explores ways to protect online identities of patients from disclosure or privacy concerns). We will address the situation of the patient like situation of heart problem that experience life-threatening emergencies. With adequate lead time, patients and doctors can avert serious emergencies from occurring. Since handling of serious emergencies is particularly expensive, the proposed technologies can potentially reduce the overall cost of healthcare delivery and management in rural populations. Implement solutions that assure confidentiality, security and integrity while maximizing the Availability of information for public health use and strategically integrate clinical health, environmental risk and population health informatics.

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