Systems Engineering and Health Informatics

Author(s):  
Kalyan Sunder Pasupathy

Healthcare organizations are struggling to provide safe and high quality care while reducing costs. Abundant data on various aspects of the care delivery process (both clinical and non-clinical) are collected and stored in large databases in different parts of the organization. Informatics, as an area of study with roots in computer science and information science, has grown and evolved to enable collection, storage, retrieval, and analysis of data, and reporting of useful information. Health informatics (HI) ranges from bioinformatics to public health informatics depending on the level of focus and applications. At the same time, systems engineering (SE), as an interdisciplinary field of engineering, has grown to encompass the design, analysis, and management of complex health systems to improve their quality and performance. HI and SE are complementary in their approach to identification of problems, methodology, and solution procedure for improvement. This combination brings forth implications for industry and education to address pressing issues of today’s health care delivery.

2011 ◽  
pp. 1684-1705 ◽  
Author(s):  
Kalyan Sunder Pasupathy

Healthcare organizations are struggling to provide safe and high quality care while reducing costs. Abundant data on various aspects of the care delivery process (both clinical and non-clinical) are collected and stored in large databases in different parts of the organization. Informatics, as an area of study with roots in computer science and information science, has grown and evolved to enable collection, storage, retrieval, and analysis of data, and reporting of useful information. Health informatics (HI) ranges from bioinformatics to public health informatics depending on the level of focus and applications. At the same time, systems engineering (SE), as an interdisciplinary field of engineering, has grown to encompass the design, analysis, and management of complex health systems to improve their quality and performance. HI and SE are complementary in their approach to identification of problems, methodology, and solution procedure for improvement. This combination brings forth implications for industry and education to address pressing issues of today’s health care delivery.


Author(s):  
Kalyan Sunder Pasupathy

The healthcare system is facing several major quality challenges. In 2005, the Institute of Medicine published a report on how systems engineering and improvements in information technology can help address and solve some of these challenges. Systems engineering (SE) and health informatics (HI) have been undergoing advancements over the years. Health systems engineering is an interdisciplinary field that has grown to encompass the design, analysis, and management of complex health systems to improve quality and performance. HI is another interdisciplinary field around collection, storage, retrieval and analysis of data, reporting and enabling use of information, and (re)design and maintenance of systems to do all of these. SE and HI are complementary in their approach to identification of problems and solution procedure for (re)design and improvement. This combination has major implications for care delivery, research, and education to address the challenges.


2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Timothy Jay Carney ◽  
Christopher Michael Shea

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.


1994 ◽  
Vol 33 (03) ◽  
pp. 246-249 ◽  
Author(s):  
R. Haux ◽  
F. J. Leven ◽  
J. R. Moehr ◽  
D. J. Protti

Abstract:Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades.This special issue of Methods of Information in Medicine contains papers on health and medical informatics education. It is mainly based on selected papers from the 5th Working Conference on Health/Medical Informatics Education of the International Medical Informatics Association (IMIA), which was held in September 1992 at the University of Heidelberg/Technical School Heilbronn, Germany, as part of the 20 years’ celebration of medical informatics education at Heidelberg/Heilbronn. Some papers were presented on the occasion of the 10th anniversary of the health information science program of the School of Health Information Science at the University of Victoria, British Columbia, Canada. Within this issue, programs in health/medical informatics are presented and analyzed: the medical informatics program at the University of Utah, the medical informatics program of the University of Heidelberg/School of Technology Heilbronn, the health information science program at the University of Victoria, the health informatics program at the University of Minnesota, the health informatics management program at the University of Manchester, and the health information management program at the University of Alabama. They all have in common that they are dedicated curricula in health/medical informatics which are university-based, leading to an academic degree in this field. In addition, views and recommendations for health/medical informatics education are presented. Finally, the question is discussed, whether health and medical informatics can be regarded as a separate discipline with the necessity for specialized curricula in this field.In accordance with the aims of IMIA, the intention of this special issue is to promote the further development of health and medical informatics education in order to contribute to high quality health care and medical research.


Author(s):  
Ihor Pysmennyi

In recent years we’ve seen breakthrough research success in medicine and computer science enabled by novel technology advancements, data analyses capabilities and learning techniques. Despite this, quality care doesn’t have full cove­ rage even in developed countries and access to care is recognised as one of the biggest challenges to the global healthcare system. Bound with population growth in remote areas in developing regions, which lack skilled professionals and medical resources, as well as aging in developed countries this caused a strong need for increasing healthcare effectiveness. Enabled by development of cloud technologies, quick expansion of mobile network coverage and internet access Clinical Information Management Systems integrated with decision support systems, Telemedicine (inclu­ ding distributed Virtual Healthcare Teams and medical imaging), Mobile Healthcare, medical Internet of Things (mIoT), Consumer Health Informatics with personal intelligent health assistants, Health Information Exchanges and deep learning techniques for diagnostics and knowledge extraction are among the state-of-the-art solutions which are more or less successfully used for coping with the problem mentioned above. This paper reviews current situation with implementing these novel informational systems, analyses their advantages, drawbacks, implementation impediments and outcome effectiveness suggesting platform for empowering their integration and maximizing output of each module. Such solution will have a synergy effect and result in a drastic increase of medical resource utilization effectiveness, service quality and providing bigger and fuller coverage with less spending at the same time empowering knowledge exchange process and laying foundation for future development and innovations in the whole healthcare domain.


2020 ◽  
Author(s):  
Catherine Arnott Smith ◽  
Deahan Yu ◽  
Juan Fernando Maestre ◽  
Uba Backonja ◽  
Andrew Boyd ◽  
...  

BACKGROUND Informatics tools for consumers and patients are important vehicles for facilitating engagement, and the field of consumer health informatics is an key space for exploring the potential of these tools. To understand research findings in this complex and heterogeneous field, a scoping review can help not only to identify, but to bridge, the array of diverse disciplines and publication venues involved. OBJECTIVE The goal of this systematic scoping review was to characterize the extent; range; and nature of research activity in consumer health informatics, focusing on the contributing disciplines of informatics; information science; and engineering. METHODS Four electronic databases (Compendex, LISTA, Library Literature, and INSPEC) were searched for published studies dating from January 1, 2008, to June 1, 2015. Our inclusion criteria specified that they be English-language articles describing empirical studies focusing on consumers; relate to human health; and feature technologies designed to interact directly with consumers. Clinical applications and technologies regulated by the FDA, as well as digital tools that do not provide individualized information, were excluded. RESULTS We identified 271 studies in 63 unique journals and 22 unique conference proceedings. Sixty-five percent of these studies were found in health informatics journals; 23% in information science and library science; 15% in computer science; 4% in medicine; and 5% in other fields, ranging from engineering to education. A single journal, the Journal of Medical Internet Research, was home to 36% of the studies. Sixty-two percent of these studies relied on quantitative methods, 55% on qualitative methods, and 17% were mixed-method studies. Seventy percent of studies used no specific theoretical framework; of those that did, Social Cognitive Theory appeared the most frequently, in 16 studies. Fifty-two studies identified problems with technology adoption, acceptance, or use, 38% of these barriers being machine-centered (for example, content or computer-based), and 62% user-centered, the most frequently mentioned being attitude and motivation toward technology. One hundred and twenty-six interventional studies investigated disparities or heterogeneity in treatment effects in specific populations. The most frequent disparity investigated was gender (13 studies), followed closely by race/ethnicity (11). Half the studies focused on a specific diagnosis, most commonly diabetes and cancer; 30% focused on a health behavior, usually information-seeking. Gaps were found in reporting of study design, with only 46% of studies reporting on specific methodological details. Missing details were response rates, since 59% of survey studies did not provide them; and participant retention rates, since 53% of interventional studies did not provide this information. Participant demographics were usually not reported beyond gender and age. Only 17% studies informed the reader of their theoretical basis, and only 4 studies focused on theory at the group, network, organizational or ecological levels—the majority being either health behavior or interpersonal theories. Finally, of the 131 studies describing the design of a new technology, 81% did not involve either patients or consumers in their design. In fact, while consumer and patient were necessarily core concepts in this literature, these terms were often used interchangeably. The research literature of consumer health informatics at present is scattered across research fields; only 49% of studies from these disciplines is indexed by MEDLINE and studies in computer science are siloed in a user interface that makes exploration of that literature difficult. CONCLUSIONS Few studies analyzed in this scoping review were based in theory, and very little was presented in this literature about the life context, motives for technology use, and personal characteristics of study participants.


2021 ◽  
Vol 10 ◽  
pp. 216495612110210
Author(s):  
Eileen M Dryden ◽  
Rendelle E Bolton ◽  
Barbara G Bokhour ◽  
Juliet Wu ◽  
Kelly Dvorin ◽  
...  

Background The US Veterans Health Administration (VA) is transforming its healthcare system to create a Whole Health System (WHS) of care. Akin to such reorganization efforts as creating patient-centered medical homes and primary care behavioral health integration, the WHS goes beyond by transforming the entire system to one that takes a proactive approach to support patient and employee health and wellness. The SARS-CoV-2 pandemic disrupted the VA’s healthcare system and added stress for staff and patients, creating an exogenous shock for this transformation towards a WHS. Objective We examined the relationship between VA’s WHS transformation and the pandemic to understand if transformation was sustained during crisis and contributed to VA’s response. Methods Qualitative interviews were conducted as part of a multi-year study of WHS transformation. A single multi-person interview was conducted with 61 WHS leaders at 18 VA Medical Centers, examining WH transformation and use during the pandemic. Data were analyzed using rapid directed content analysis. Results While the pandemic initially slowed transformation efforts, sites intentionally embraced a WH approach to support patients and employees during this crisis. Efforts included conducting patient wellness calls, and, for patients and employees, promoting complementary and integrative health therapies, self-care, and WH concepts to combat stress and support wellbeing. A surge in virtual technology use facilitated innovative delivery of complementary and integrative therapies and promoted continued use of WH activities. Conclusion The pandemic called attention to the need for healthcare systems to address the wellbeing of both patients and providers to sustain high quality care delivery. At a time of crisis, VA sites sustained WH transformation efforts, recognizing WH as one strategy to support patients and employees. This response indicates cultural transformation is taking hold, with WH serving as a promising approach for promoting wellbeing among patients and employees alike.


2021 ◽  
Vol 13 (7) ◽  
pp. 177
Author(s):  
Grazia Veronica Aiosa ◽  
Barbara Attanasio ◽  
Aurelio La Corte ◽  
Marialisa Scatá

The forthcoming 6G will attempt to rewrite the communication networks’ perspective focusing on a shift in paradigm in the way technologies and services are conceived, integrated and used. In this viewpoint, the Internet of Medical Things (IoMT) represents a merger of medical devices and health applications that are connected through networks, introducing an important change in managing the disease, treatments and diagnosis, reducing costs and faults. In 6G, the edge intelligence moves the innovative abilities from the central cloud to the edge and jointly with the complex systems approach will enable the development of a new category of lightweight applications as microservices. It requires edge intelligence also for the service evaluation in order to introduce the same degree of adaptability. We propose a new evaluation model, called CoKnowEMe (context knowledge evaluation model), by introducing an architectural and analytical scheme, modeled following a complex and dynamical approach, consisting of three inter-operable level and different networked attributes, to quantify the quality of IoMT microservices depending on a changeable context of use. We conduct simulations to display and quantify the structural complex properties and performance statistical estimators. We select and classify suitable attributes through a further detailed procedure in a supplementary information document.


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