Journal articles: 'Healthcare Systems Design'

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KAmin, Samir, Dinesh Kumar Saini, and Yazan S.K.Al-Gnabi. "Software Design Framework for Healthcare Systems." International Journal of Computer Applications 116, no. 4 (April 22, 2015): 47–54. http://dx.doi.org/10.5120/20328-2507.

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Perry, Shawna J., Hilary J. Mosher, Thomas J. Persoon, Ellen J. Bass, Rollin (Terry) J. Fairbanks, and Priyadarshini R. Pennathur. "Healthcare Systems Design At a Crossroads." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (September 2013): 713–17. http://dx.doi.org/10.1177/1541931213571155.

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Pasupathy, Kalyan Sunder. "Transforming Healthcare." International Journal of Healthcare Delivery Reform Initiatives 2, no. 2 (April 2010): 35–55. http://dx.doi.org/10.4018/jhdri.2010040103.

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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.

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Srinivas, Gunda. "Healthcare Innovation and Design Thinking." Karnataka Pediatric Journal 36 (September 6, 2021): 87–93. http://dx.doi.org/10.25259/kpj_14_2021.

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The objective of this article is to bring awareness to the changing landscape of the healthcare ecosystem and the clinician’s role with respect to medical devices, medical systems, technology, and processes involved in the system. Clinicians interact with them every day and have a huge implication for them directly, and to their patients indirectly. Clinicians are actively involved in clinical research which involves the knowledge and practice of the disease, diagnosis and management, etc. Recently, the role of non-clinical aspects such as medical devices, processes and systems of the healthcare ecosystem is gaining popularity. Hence, there is potential to explore this aspect of the healthcare delivery system to redesign and innovate for improving clinical outcomes. To achieve this, the clinicians need to understand these systems from a perspective that will help them to identify the problems and develop innovative solutions. Just like the clinical research is systematic and methodical, the improvement of the medical systems is also methodical to a large extent. This includes concepts and techniques that are quite fresh and new to a clinician who probably has never been exposed to these in their medical careers. These general principles of Innovation and Design thinking applied to other domains have yielded fantastic results and for the same to be applied in the medical domain, the role of the practicing clinician is central. As clinicians, we have always practiced innovation at some point of time in our career when we would have faced a resource crunch and were compelled to save the children and hence have tried to innovate on the devices, processes, etc., in our own way and has worked many a times. To generate many such solutions at large scale, the whole process needs to be methodical and systematic so that the solutions developed are safe and consistent at all times. Such a solution can be scaled up and made to reach across such setups where it is needed and there can be a measurable improvement in efficiency, quality, effectiveness, or economics of patient care delivery on a large scale.

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Emspak, Frank, and Sharon Trimborn. "The Nursing Information Systems: Collaborative Design of Healthcare Information Systems." IFAC Proceedings Volumes 30, no. 24 (September 1997): 129–32. http://dx.doi.org/10.1016/s1474-6670(17)42240-3.

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Emspak, Frank, and Sharon Trimborn. "The nursing information systems: Collaborative design of healthcare information systems." AI & Society 12, no. 1-2 (March 1998): 64–70. http://dx.doi.org/10.1007/bf01179778.

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Komashie, Alexander, Saba Hinrichs-Krapels, and P. John Clarkson. "SYSTEMS APPROACHES TO HEALTHCARE SYSTEMS DESIGN AND CARE DELIVERY: AN OVERVIEW OF THE LITERATURE." Proceedings of the Design Society 1 (July 27, 2021): 2941–50. http://dx.doi.org/10.1017/pds.2021.555.

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AbstractThe healthcare sector is facing significant challenges that require a systems approach, resulting in a rapid growth in the application of systems approaches in healthcare since the beginning of the 21st century. Consequently, healthcare practitioners and policymakers now desire to understand the evidence-base for the approach, but little evidence of the kind desired exists. This paper is a first step in conducting a narrative review of the application of systems approaches in healthcare based on a systematic review of the academic and grey literature. First, the emergence of the approach in healthcare is explored. Second, specific examples of applications of systems approaches in healthcare are examined to identify any missing elements in current practice. Third, fourteen reviews of the approach in healthcare published in the last ten years are analysed. The results suggest that the use of the approach in healthcare will most likely continue to increase, however, significant work remains for the design and systems community to demonstrate the effectiveness of systems approaches, specifically in providing convincing measures of impact on patient and service outcomes.

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Young, Terry. "Healthcare Systems: Why Simulation Overcomes the Design Barriers." Impact 2021, no. 1 (January 2, 2021): 32–34. http://dx.doi.org/10.1080/2058802x.2021.1877507.

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Jensen, Tina Blegind. "Design principles for achieving integrated healthcare information systems." Health Informatics Journal 19, no. 1 (March 2013): 29–45. http://dx.doi.org/10.1177/1460458212448890.

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Teoh, Say Yen, Nilmini Wickramsinghe, and Shan L. Pan. "A bricolage perspective on healthcare information systems design." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 43, no. 3 (August 20, 2012): 47–61. http://dx.doi.org/10.1145/2351848.2351852.

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Saleem, Naveed, Donald R. Jones, Hien Van Tran, and Beulah Moses. "Forming Design Teams to Develop Healthcare Information Systems." Hospital Topics 84, no. 1 (January 2006): 22–31. http://dx.doi.org/10.3200/htps.84.1.22-31.

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Reiling, J. "Safe design of healthcare facilities." Quality in Health Care 15, suppl 1 (December 2006): i34—i40. http://dx.doi.org/10.1136/qshc.2006.019422.

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The physical environment has a significant impact on health and safety; however, hospitals have not been designed with the explicit goal of enhancing patient safety through facility design. In April 2002, St Joseph’s Community Hospital of West Bend, a member of SynergyHealth, brought together leaders in healthcare and systems engineering to develop a set of safety-driven facility design recommendations and principles that would guide the design of a new hospital facility focused on patient safety. By introducing safety-driven innovations into the facility design process, environmental designers and healthcare leaders will be able to make significant contributions to patient safety.

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Mazouz, Sanae, OuÃ§amah Mohammed Cherkaoui Malki, and El Habib Nfaoui. "Design and implementation of a health document." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 11 (August 6, 2015): 6219–28. http://dx.doi.org/10.24297/ijct.v14i11.1809.

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Exchanging and integrating medical information in the healthcare domain is a challenge. Indeed, the diversity of databases and the different representations of information sources make this exchange a very difficult task. Divers standards, (e.g. HL7: Health Level Seven; DICOM: Digital Imaging and Communication in Medicine), are created to enable the exchange and make health information systems interoperable. However, applying standardization requires changing the structure of existing healthcare systems. Our main purpose is to create a health document for exchanging health information between heterogeneous systems without applying changes on the internal structure of systems. The document uses the XML language to allow a structured and flexible exchange of healthcare data. The proposed health document can make the exchange of healthcare data among heterogeneous health information systems simpler and efficient. This document addresses the problem of interoperability between health information systems. The paper summarizes standards used to support interoperability in healthcare domain and propose a health document to enable the exchange of medical information across heterogeneous and distributed health information systems without requirements or adjustment on their systems.

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Meadows, Susan. "Human Factors Applications to Health Care Systems." Proceedings of the Human Factors Society Annual Meeting 33, no. 17 (October 1989): 1167. http://dx.doi.org/10.1518/107118189786757923.

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This demonstration program shows how human factors design and evaluation principles can be applied to the area of medical device and healthcare systems. The objective is to provide examples of evaluations and new designs for healthcare products which reduce human error and improve medical devices and instructional materials. International performance and design standards incorporating human factors principles are gaining more attention because of the efforts of the European medical device industry to standardize products.

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Patrício, Lia, Daniela Sangiorgi, Dominik Mahr, Martina Čaić, Saleh Kalantari, and Sue Sundar. "Leveraging service design for healthcare transformation: toward people-centered, integrated, and technology-enabled healthcare systems." Journal of Service Management 31, no. 5 (June 8, 2020): 889–909. http://dx.doi.org/10.1108/josm-11-2019-0332.

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PurposeThis paper explores how service design can contribute to the evolution of health service systems, moving them toward people-centered, integrated and technology-enabled care; the paper develops a research agenda to leverage service design research for healthcare transformation.Design/methodology/approachThis conceptual study starts by analyzing healthcare challenges in terms of demographic trends and economic constraints, along with the problems of lack of people-centricity, dispersion of care and slowness in incorporating emerging technologies. Then, it examines the theoretical underpinnings of service design to develop a framework for exploring how a human-centered, transformative and service systems approach can contribute to addressing healthcare challenges, with illustrative cases of service design research in healthcare being given.FindingsThe proposed framework explores how a human-centered service design approach can leverage the potential of technology and advance healthcare systems toward people-centered care; how a transformative service design approach can go beyond explanatory research of healthcare phenomena to develop innovative solutions for healthcare change and wellbeing; and how a service systems perspective can address the complexity of healthcare systems, hence moving toward integrated care.Originality/valueThis paper systematizes and develops a framework for how service design can contribute to healthcare transformation. It identifies key healthcare application areas for future service design research and pathways for advancing service design in healthcare by using new interdisciplinary bridges, methodological developments and theoretical foundations.

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Zhang, Xiaojin, Shuang Ma, and Songlin Chen. "Healthcare process modularization using design structure matrix." Advanced Engineering Informatics 39 (January 2019): 320–30. http://dx.doi.org/10.1016/j.aei.2019.02.005.

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Manirabona, Audace, Lamia Chaari Fourati, and Saâdi Boudjit. "Investigation on Healthcare Monitoring Systems." International Journal of E-Health and Medical Communications 8, no. 1 (January 2017): 1–18. http://dx.doi.org/10.4018/ijehmc.2017010101.

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Wireless Body Area Networks (WBANs) services and applications have emerged as one of the most attractive research areas and have become more and more widespread especially for healthcare use. Lots of researches have been carried out to specify innovative services and applications using healthcare monitoring systems (HMS). However, the WBAN requirements vary from one application/service to another. Furthermore, HMSs are expected to reduce healthcare costs by enabling the continuous remote monitoring of patients' health even during their daily activities and thus reduce the frequency of the patient's visits at hospital. From a medical point of view, the WBAN will emerge as a key technology by providing real-time health monitoring and diagnosis of many life-threatening diseases. In this paper, the authors outline the WBAN applications and services requirements for healthcare and review them with emphasis on their strength, limitations and design challenges. In addition, HMS architecture and its applications are deeply studied and some case studies are discussed.

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Günay, Aslı, James Ward, and P. John Clarkson. "MAPPING A SYSTEMS APPROACH TO EXISTING HEALTHCARE DESIGN, DELIVERY AND IMPROVEMENT METHODS." Proceedings of the Design Society 1 (July 27, 2021): 1997–2006. http://dx.doi.org/10.1017/pds.2021.461.

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AbstractDesign, delivery and improvement processes in healthcare is of great challenge due to increasing pressures on healthcare systems alongside inherent complexities, resulting in limited benefits or unforeseen consequences. A recent Systems Approach framework has aimed at responding to the calls about implementing a more holistic approach. Though being an approach in its own right that can iteratively and systematically structure, guide, and/or facilitate design and improvement projects in healthcare, it can also augment existing approaches that have already place in healthcare designers' and improvement practitioners' agendas. Thus, the objective of this paper is to compare and contrast the questions, activities, and tools of the Systems Approach with processes of other major improvement approaches in healthcare to demonstrate their coverages, overlaps, and extended and new opportunities to pursue in the light of the Systems Approach.

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Kumar, Rajiv, Shweta Pandit, and Ashutosh Sharma. "Design of Reliable, Secure and Intelligent Systems for Healthcare Applications." Recent Patents on Engineering 14, no. 3 (January 19, 2021): 456–57. http://dx.doi.org/10.2174/187221211403201130093110.

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Stuart, Neil, and Anne Wojtak. "Leadership Perspective: Partnering with Patients to Co-Design Healthcare Systems." Healthcare Quarterly 24, no. 3 (October 20, 2021): 68–71. http://dx.doi.org/10.12927/hcq.2021.26616.

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Yang, Won-Seob, Kyung-Soon Hwang, Keon-Myung Lee, Kyung-Mi Lee, Wun-Jae Kim, and Seok-Jung Yun. "Requirement Analysis and Architecture Design for Ubiquitous Healthcare Service Systems." International Journal of Fuzzy Logic and Intelligent Systems 7, no. 3 (September 1, 2007): 209–15. http://dx.doi.org/10.5391/ijfis.2007.7.3.209.

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Bause, Melania, Bahar Khayamian Esfahani, Hannah Forbes, and Dirk Schaefer. "Design for Health 4.0: Exploration of a New Area." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 887–96. http://dx.doi.org/10.1017/dsi.2019.93.

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AbstractDriven by networked Electronic Health Record systems, Artificial Intelligence, real-time data from wearable devices with an overlay of invisible user interfaces and improved analytics, Health 4.0 is changing the healthcare industry. The focus on collaboration, coherence, and convergence that will make healthcare more predictive and personalised. Furthermore, Health 4.0 realises the value of data more consistently and effectively. It can pinpoint areas of improvement and enable more informed decisions. What it also does is help move the entire healthcare industry from a system that is reactive and focused on fee-for-service to a system that is value-based, which measures outcomes and ensures proactive prevention.In this paper, the authors will first explore the realm of the emerging area of Health 4.0 and identify its opportunities and challenges. This includes understanding the relevant base technologies as well as the design principles for the realization of smart healthcare product, systems and product-service-systems of the future. Following on from there, the authors focus on the role of design in the specific context of healthcare.

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Komashie, Alexander, Guillaume Lame, Francois Patou, Nicholas Ciccone, Anja Maier, and P. John Clarkson. "Exploring Healthcare Systems Design Research and Practice: Outcomes of an International Meeting." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 947–56. http://dx.doi.org/10.1017/dsi.2019.100.

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AbstractCurrent healthcare delivery challenges are multi-faceted, requiring multiple perspectives to be addressed using a systems approach. However, a significant amount of healthcare systems design research work is carried out within single disciplines or at best a few disciplines working together. There appears to be little deliberate attempt to draw together a wide range of disciplines committed to working together to overcome differences and tackle some of the complex challenges in healthcare delivery. In this paper, we report on the initial outcomes of such an international initiative that, in the form of a workshop held at the University of Cambridge, brought together researchers and practitioners from a wide range of disciplines to explore the foundations of a community for Healthcare Systems Design Research and Practice.

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Weng, Yueh-Hsuan, and Yasuhisa Hirata. "Design-Centered HRI Governance for Healthcare Robots." Journal of Healthcare Engineering 2022 (January 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/3935316.

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Recent developments have shown that not only are AI and robotics growing more sophisticated, but also these fields are evolving together. The applications that emerge from this trend will break current limitations and ensure that robotic decision making and functionality are more autonomous, connected, and interactive in a way which will support people in their daily lives. However, in areas such as healthcare robotics, legal and ethical concerns will arise as increasingly advanced intelligence functions are incorporated into robotic systems. Using a case study, this paper proposes a unique design-centered approach which tackles the issue of data protection and privacy risk in human-robot interaction.

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Taylor, Ellen, and Sue Hignett. "DEEP SCOPE: A Framework for Safe Healthcare Design." International Journal of Environmental Research and Public Health 18, no. 15 (July 22, 2021): 7780. http://dx.doi.org/10.3390/ijerph18157780.

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Thinking in patient safety has evolved over time from more simplistic accident causation models to more robust frameworks of work system design. Throughout this evolution, less consideration has been given to the role of the built environment in supporting safety. The aim of this paper is to theoretically explore how we think about harm as a systems problem by mitigating the risk of adverse events through proactive healthcare facility design. We review the evolution of thinking in safety as a safety science. Using falls as a case study topic, we use a previously published model (SCOPE: Safety as Complexity of the Organization, People, and Environment) to develop an expanded framework. The resulting theoretical model and matrix, DEEP SCOPE (DEsigning with Ergonomic Principles), provide a way to synthesize design interventions into a systems-based model for healthcare facility design using human factors/ergonomics (HF/E) design principles. The DEEP SCOPE matrix is proposed to highlight the design of safe healthcare facilities as an ergonomic problem of design that fits the environment to the user by understanding built environments that support the “human” factor.

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Zeadally, Sherali, Farhan Siddiqui, Zubair Baig, and Ahmed Ibrahim. "Smart healthcare." PSU Research Review 4, no. 2 (October 18, 2019): 149–68. http://dx.doi.org/10.1108/prr-08-2019-0027.

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Purpose The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions. Design/methodology/approach The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health. Findings The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs. Originality/value The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

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Wastell, D. G., and M. Schoop. "Effective Multidisciplinary Communication in Healthcare: Cooperative Documentation Systems." Methods of Information in Medicine 38, no. 04/05 (1999): 265–73. http://dx.doi.org/10.1055/s-0038-1634421.

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AbstractTo support multidisciplinary communication and cooperation in healthcare, cooperative documentation systems (CDSs) have been developed. However, in the current generation of systems, communication problems that can pose a serious threat to smooth and effective cooperation have occurred and remain to be addressed. This paper presents a set of features that need to be considered in the design of a new generation of CDSs to avoid breakdowns in communication and cooperation. Our approach is solidly grounded in linguistic and social theories and based on empirical investigations of communication patterns in multidisciplinary healthcare. It is argued that this work provides a theoretically rigorous approach to the design of CDSs that will enable effective multidisciplinary communication and cooperation in healthcare.

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Kumar, Dinesh. "India’s rural healthcare systems: structural modeling." International Journal of Health Care Quality Assurance 31, no. 7 (August 13, 2018): 757–74. http://dx.doi.org/10.1108/ijhcqa-02-2017-0020.

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Purpose The purpose of this paper is to identify factors related to rural healthcare services and establish a hierarchical model for the effective rural healthcare management in India. Design/methodology/approach A questionnaire survey identified and correlated numerous factors related to the Uttarakhand rural healthcare systems. Experts opinion were translated into a reachability matrix and an interpretive structural model. A fuzzy matriced impacts croises-multiplication applique and classment (FMICMAC) analysis arranged the factors as hierarchical stages using their driving power. Findings The interpretive structural and FMICMAC hierarchical models suggest four key driving factors: diseases, climatic conditions, population growth and political pressure. Practical implications Despite numerous issues, rural healthcare services can be improved by considering key driving factors that could be used as a prediction tool for policy makers. Originality/value Results demonstrate that population control, coordinating services with local bodies and rural health center annual maintenance can be game changers toward better healthcare services.

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Raheja, Dev. "System Safety in Healthcare." Journal of System Safety 52, no. 1 (April 1, 2016): 14–15. http://dx.doi.org/10.56094/jss.v52i1.134.

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System safety engineering will be a great tool for designing health care systems for patient safety, but the White House has a wider goal — one that includes not only patient safety, but also reliability, efficiency, productivity, quality and cost reduction. Therefore, systems engineering is poised to become the next proactive tool in health care. A report, titled “Report To The President, Better Health Care And Lower Costs: Accelerating Improvement Through Systems Engineering,” was prepared by the President’s Council of Advisors on Science and Technology (PCAST) in May 2014 [Ref. 1]. The report highlights systems engineering, widely used in manufacturing and aviation, as an interdisciplinary approach to analyze, design, manage and measure a complex system. It also points out that, in spite of excellent examples, systems methods and tools are not yet used on a widespread basis in U.S. health care.

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Saha, P. "Design of decision support system incorporating data mining algorithms for strengthening maternal and child health systems: Inclusion of systems-thinking approach." CARDIOMETRY, no. 20 (November 21, 2021): 101–10. http://dx.doi.org/10.18137/cardiometry.2021.20.100109.

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Reduction of maternal and infant mortality rates has been recognisedas one of the important goals of this century. Both coverageimprovement and inequity reduction have been set up asmillennium targets. Despite the availability of effective interventions,maternal and child healthcare conditions are not improvingin developing countries because of inefficiently functioninghealth systems. Knowledge generation about behaviors ofhealth system building blocks on the implementation of severalhealthcare interventions will help policymakers to design situation-specific and strategic interventions. A decision supportsystem has been devised incorporating data mining algorithmswhich would help to understand the condition of maternal andchild healthcare indicators; educational, socio, and economicsituations; healthcare status; and healthcare service blocksand their relationships with each other. In this paper, the designof the DSS has been discussed elaborately. To enhance a system-wide understanding of the healthcare system, all healthcare-related factors have been incorporated into this system.Three knowledge generation modules have been prepared byutilizing different visualization and data mining algorithms.

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Rodrigues, Rita, Rita Coelho, and João Manuel R. S. Tavares. "Healthcare Signage Design: A Review on Recommendations for Effective Signing Systems." HERD: Health Environments Research & Design Journal 12, no. 3 (December 3, 2018): 45–65. http://dx.doi.org/10.1177/1937586718814822.

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This article provides a set of recommendations, selected from the systematic literature review carried out, regarding signage systems for healthcare institutions that can be used for designing or redesigning more competent signage systems. The signage systems in healthcare settings are usually poorly designed due to the expansion of the original facilities, a lack of awareness of existing guidelines by the developers, and a lack of agreement between the existing recommendations. There are several guidelines and recommendations available in the literature; however, each work was developed for specific cultural contexts, so there is a lack of uniformity among them. Hence, there is a need to uniformize the guidelines for signage design in healthcare, in order to provide supportive information for developers to build and implement effective and efficient signage systems. This study examined the available literature on the subject and established a set of guidelines organized in categories to help the design process. A literature review was conducted, and 34 selected publications were analyzed from which recommendations were created. A best practices manual was also studied and used as the analytical framework to establish the design categories of the developed recommendations. This review resulted in guidelines divided into nine design categories that should be considered in the design and implementation process of signage systems in healthcare facilities.

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Kanadanian, MS, Koren V., and Constance K. Haan, MD, MS, MA. "Postcrisis redevelopment of sustainable healthcare systems." American Journal of Disaster Medicine 9, no. 4 (October 1, 2014): 247–58. http://dx.doi.org/10.5055/ajdm.2014.0177.

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Objective: Research and field experience have identified a global gap in postdisaster rebuilding of healthcare systems due to the current primary focus on returning devastated community infrastructures to predisaster conditions. Disasters, natural or man-made, present an opportunity for communities to rebuild, restructure, and redefine their predisaster states, creating more resilient and sustainable healthcare systems. Design: A model for sustainable postdisaster healthcare rebuilding was developed by bridging identified gaps in the literature on the processes of developing healthcare systems postdisaster and utilizing evidence from the literature on postdisaster community reconstruction.Results: The proposed model—the Sustainable Healthcare Redevelopment Model—is designed to guide communities through the process of recovery, and identifies four stages for rebuilding healthcare systems: (1) response, (2) recovery, (3) redevelopment, and (4) sustainable development. Implementing sustainable healthcare redevelopment involves a bottom-up approach, where community stakeholders have the ability to influence policy decisions. Relationships within internal government agencies and with public-private partnerships are necessary for successful recovery. Conclusion: The Sustainable Healthcare Redevelopment Model can serve as a guideline for delivery of healthcare services following disaster or conflict and use of crisis as a window of opportunity to improve the healthcare delivery system and incorporate resilience into the healthcare infrastructure.

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Feldman, A., F. Patou, and A. Maier. "Driving Change in Complex Social Systems: How to Design Healthcare Pathways." Proceedings of the Design Society 2 (May 2022): 1263–72. http://dx.doi.org/10.1017/pds.2022.128.

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AbstractHow does change occur in healthcare settings? In this paper, we take a design-based approach to healthcare research. From researcher-patient interactions to information sharing between practitioners, we examine how clinical research can mediate a change of routines and illuminate potential new system structures. Using a hospital-based cognitive care clinic as an example, we demonstrate how the inclusion of new actors, tools and resources was able to shed light on the prevalence of hearing loss among mild cognitive impairment (MCI) patients and lay the framework for new care pathways.

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Maass, Wolfgang, and Upkar Varshney. "Design and evaluation of Ubiquitous Information Systems and use in healthcare." Decision Support Systems 54, no. 1 (December 2012): 597–609. http://dx.doi.org/10.1016/j.dss.2012.08.007.

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Golden, Brian, and Roger Martin. "Aligning the Stars: Using Systems Thinking to (Re)Design Canadian Healthcare." Healthcare Quarterly 7, no. 4 (September 15, 2004): 34–42. http://dx.doi.org/10.12927/hcq..16803.

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Visvalingam, Archanaa, Jaspaljeet Singh Dhillon, Saraswathy Shamini Gunasekaran, and Alan Cheah Kah Hoe. "Designing Self-Reflective Visualizations in Patient-Cantered Systems." International Journal of Engineering & Technology 7, no. 4.35 (November 30, 2018): 449. http://dx.doi.org/10.14419/ijet.v7i4.35.22860.

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Self-care applications are mostly featured with visuals that educate users to comprehend their health status in taking a proactive role in their healthcare. It is crucial to ensure that these visuals are adequate and meets the expectations of the users. In this study, healthcare visualisation design factors were reviewed from existing studies in identifying their relevance to self-care visuals. The study also conducted a focus group study (FGD) with a group of mobile application users to understand their perception and expectations towards healthcare visuals presented in self-care applications. Results indicate that existing guidelines for healthcare visuals are focused on a specific type of application and they mostly emphasise the usability aspects of the visual and neglect its functionality. The identified themes from the FGD are motivation & commitment, customizability, personalisation, accessibility, complex yet comprehensible graphs, alerts & proactive support, and trust & privacy. Users are expecting healthcare visuals that are self-reflecting, comprehensive and user-friendly in enabling them to better understand their health conditions. A combination of design factors is necessary to aid the development of self-care visuals in health support applications. Hence, the study proposed a conceptual model that lists a set of design principles for self-reflective visualisations in novel health support applications.

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Romano, Elpidio, Andrea Falegnami, Anna Corinna Cagliano, and Carlo Rafele. "Lean ICU Layout Re-Design: A Simulation-Based Approach." Informatics 9, no. 2 (April 22, 2022): 35. http://dx.doi.org/10.3390/informatics9020035.

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Healthcare facilities require flexible layouts that can adapt quickly in the face of various disruptions. COVID-19 confirmed this need for both healthcare and manufacturing systems. Starting with the transfer of decision support systems from manufacturing, this paper generalizes layout re-design activities for complex systems by presenting a simulation framework. Through a real case study concerning the proliferation of nosocomial cross-infection in an intensive care unit (ICU), the model developed in systems dynamics, based on a zero order immediate logic, allows reproducing the evolution of the different agencies (e.g., physicians, nurses, ancillary workers, patients), as well as of the cyber-technical side of the ICU, in its general but also local aspects. The entire global workflow is theoretically founded on lean principles, with the goal of balancing the need for minimal patient throughput time and maximum efficiency by optimizing the resources used during the process. The proposed framework might be transferred to other wards with minimal adjustments; hence, it has the potential to represent the initial step for a modular depiction of an entire healthcare facility.

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Ciccone, Nicholas W., François Patou, and Anja M. Maier. "Designing for Better Healthcare: A Systemic Approach Utilising Behavioural Theory, Technology and an Understanding of Healthcare Delivery Systems." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 937–46. http://dx.doi.org/10.1017/dsi.2019.98.

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AbstractAn ageing population leading to more chronic disease is straining healthcare systems. This paper makes two core contributions to healthcare systems design research: Firstly, a systemic techno-behavioural approach is presented to support intervention design with value-effective health outcomes. The systemic techno-behavioural perspective takes into consideration the interaction between three angles: The current healthcare system in place, the technological opportunities for addressing an issue and a broader and deeper understanding of the behaviour of those involved. The purpose of considering these three angels is to create interventions that are more robust. This will help inform healthcare systems design researchers and other stakeholders. Secondly, it is proposed that interventions should be grounded in behavioural theory, a collection of theories are presented to be incorporated in the design process of interventions. The systemic techno-behavioural approach is applied to dementia care highlighting the need to understand the dynamic relationship between the context of the current healthcare delivery system, technology, and behaviour to improve quality of care during the progression of the disease.

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Hossain, Gahangir. "Design Analytics of Complex Communication Systems Involving Two Different Sensory Disabilities." International Journal of Healthcare Information Systems and Informatics 12, no. 2 (April 2017): 65–80. http://dx.doi.org/10.4018/ijhisi.2017040104.

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The design of a robust communication among two different sensory disabilities (Deaf vs. Blind) remains an emerging field of research in disability healthcare communication system design. As an important part of modern technology, android and iPhone applications are frequently used in designing such communication systems. However, there is no 'one-size-fits-all' in case of different sensory disability health communication design. Hence, an in-depth understanding of their requirement, media preferences, similarity and difference and up-to-date technology usability are plausible towards universal and personalized communication system design. This research addresses such complex issues and performs a study involving two different types of disabilities (deaf and blind) communication. As a part of healthcare analytics, critical incidences are recorded and corresponding complexities are measured in order to evaluate communication protocol with social signal processing. Communication flow diagram, complexity analysis and critical incidence are quantified to improve communication protocols. Moreover, the uniqueness of disability can be personalized through this process which has valuable implications in rehabilitation and multi-purpose healthcare communication device development.

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Lenz, R. "Information Systems in Healthcare – State and Steps towards Sustainability." Yearbook of Medical Informatics 18, no. 01 (August 2009): 63–70. http://dx.doi.org/10.1055/s-0038-1638640.

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Summary Objectives To identify core challenges and first steps on the way to sustainable information systems in healthcare. Methods Recent articles on healthcare information technology and related articles from Medical Informatics and Computer Science were reviewed and analyzed. Core challenges that couldn’t be solved over the years are identified. Results The two core problem areas are process integration, meaning to effectively embed IT-systems into routine workflows, and systems integration, meaning to reduce the effort for interconnecting independently developed IT-components. Standards for systems integration have improved a lot, but their usefulness is limited where system evolution is needed. Conclusions Sustainable Healthcare Information Systems should be based on system architectures that support system evolution and avoid costly system replacements every five to ten years. Some basic principles for the design of such systems are separation of concerns, loose coupling, deferred systems design, and service oriented architectures.

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Li, Si Wen, Jing Hua Liu, Lei Hu, and Xiao Dong Wei. "Design and Research of Interactive Behaviors in Modern Healthcare Scenarios." Applied Mechanics and Materials 577 (July 2014): 893–97. http://dx.doi.org/10.4028/www.scientific.net/amm.577.893.

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Healthcare scenarios are human-machine systems which involve diverse linked products. Based on analysis of key elements of healthcare scenario under overall digitalization, the paper proposes a new definition of modern healthcare scenario from a system perspective and summarizes three dimensions of interactive relations in modern healthcare scenarios. According to data from field interview and case study, the paper thoroughly discusses forms and implementations of the interactive relations in healthcare scenarios from three aspects, i.e. information interaction, human-machine interaction and space interaction. We think the in-depth study of interactive relations in modern healthcare scenario can aid in the requirement elicitation process of medical product design and intra-hospital communication technology development.

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Battles, J. B. "Quality and safety by design." Quality in Health Care 15, suppl 1 (December 2006): i1—i3. http://dx.doi.org/10.1136/qshc.2006.020347.

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Rather than continuing to try to measure the width and depths of the quality chasm, a legitimate question is how does one actually begin to close the quality chasm? One way to think about the problem is as a design challenge rather than as a quality improvement challenge. It is time to move from reactive measurement to a more proactive use of proven design methods, and to involve a number of professions outside health care so that we can design out system failure and design in quality of care. Is it possible to actually design in quality and design out failure? A three level conceptual framework design would use the six quality aims laid out in Crossing the quality chasm. The first or core level of the framework would be designing for patient centered care, with safety as the second level. The third design attributes would be efficiency, effectiveness, timeliness, and equity. Design methods and approaches are available that can be used for the design of healthcare organizations and facilities, learning systems to train and maintain competency of health professionals, clinical systems, clinical work, and information technology systems. In order to bring about major improvements in quality and safety, these design methods can and should be used to redesign healthcare delivery systems.

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Keefer, Robert, and Lisa Douglas. "Reducing Stress in Healthcare: Evidence from Using an Integration Design Model." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 705–9. http://dx.doi.org/10.1177/1541931213601662.

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The rapid and broad adoption of electronic health record (EHR) systems has produced a technological burden that includes systems that have poor usability, reduce efficiency and increase workload for the user. Research shows that healthcare professionals experience elevated levels of stress in the work environment and many consider leaving the healthcare field. A Person-Technology (P-T) fit model helps explain how stress in the work environment is related to the usability of a system. Traditional principles for designing healthcare tools focus on tactical human-computer interactions and do not typically consider human-computer integration. Data from two healthcare system projects that used an integration model of design expands the scope of traditional design principles to include a human-computer symbiosis. The integration model resulted in improvements to usability scores using standard metrics. Implications and future research are discussed.

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Soliman-Junior, Joao, Patricia Tzortzopoulos, Juliana Parise Baldauf, Barbara Pedo, Mike Kagioglou, Carlos Torres Formoso, and Julian Humphreys. "Automated compliance checking in healthcare building design." Automation in Construction 129 (September 2021): 103822. http://dx.doi.org/10.1016/j.autcon.2021.103822.

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Sedevich-Fons, Leonardo. "Financial indicators in healthcare quality management systems." TQM Journal 26, no. 4 (June 3, 2014): 312–28. http://dx.doi.org/10.1108/tqm-01-2014-0009.

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Purpose – The purpose of this paper is to highlight the usefulness of financial information as a complementary tool for quality programs implemented in healthcare institutions and, subsequently, to introduce an approach to its systematic management. Design/methodology/approach – This paper begins with a description of the current status of quality management in healthcare services, continues with a theoretical explanation of the importance of financial indicators for making decisions, and finishes with a practical example showing how to integrate financial data into healthcare quality programs. Findings – Financial indicators play a key role in healthcare quality management systems (QMSs). These indicators can be managed jointly with traditional non-financial measures, through introducing minor adjustments to the ISO 9000 model. Research limitations/implications – The approach presented in the second part of this paper was built based on theoretical arguments and on its use in industries other than healthcare. Hence, further research is needed to provide evidence of its practical application. Originality/value – First, this work integrates disciplines which are usually managed separately, such as quality and accounting. Furthermore, it focusses on an industry such as healthcare, where QMSs are not highly developed.

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Mayora, O., J. Bardram, G. Tröster, and B. Arnrich. "Pervasive Healthcare." Methods of Information in Medicine 49, no. 01 (2010): 67–73. http://dx.doi.org/10.3414/me09-02-0044.

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Summary Objectives: The aging of the population creates pressure on the healthcare systems in various ways. A massive increase of chronic disease conditions and age-related illness are predicted as the dominant forces driving the future health care. The objective of this paper is to present future research demands in pervasive healthcare with the goal to meet the healthcare challenges by paving the way for a pervasive, user-centered and preventive healthcare model. Methods: This paper presents recent methodological approaches and proposes future research topics in three areas: i) pervasive, continuous and reliable long-term monitoring systems; ii) prevention through pervasive technology as a key element to maintain lifelong wellness; and iii) design and evaluation methods for ubiquitous, patient-centric technologies. Results: Pervasive technology has been identified as a strong asset for achieving the vision of user-centered preventive healthcare. In order to make this vision a reality, new strategies for design, development and evaluation of technology have to find a common denominator and consequently interoperate. Moreover, the potential of pervasive health-care technologies offers new opportunities beyond traditional disease treatment and may play a major role in prevention, e.g. motivate healthy behavior and disease prevention throughout all stages of life. In this sense, open challenges in future research have to be addressed such as the variability of health indicators between individuals and the manner in which relevant health indicators are provided to the users in order to maximize their motivation to mitigate or prevent unhealthy behaviors. Additionally, collecting evidence that pervasive technology improves health is seen as one of the toughest challenges. Promising approaches are recently introduced, such as “clinical proof-of-concept” and balanced observational studies. Conclusions: The paper concludes that pervasive healthcare will enable a paradigm shift from the established centralized healthcare model to a pervasive, user-centered and preventive overall lifestyle health management. In order to provide these new opportunities everywhere, anytime and to anyone, future research in the fields of pervasive sensing, pervasive prevention and evaluation of pervasive technology is inevitably needed.

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Reale, Carrie, Ross Speir, Kurt Ruark, Jennifer Herout, Jason Slagle, Matthew B. Weinger, and Shilo Anders. "Using Scenarios Throughout The User-Centered Design Process in Healthcare." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 610–14. http://dx.doi.org/10.1177/1541931218621139.

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Context-specific descriptions of the intended user interactions with health information technology (HIT) systems provide an important perspective to the overall goals of HIT design. These descriptions — or scenarios — that represent the clinicians’ perspectives can describe how HIT should support users in providing patient care effectively, efficiently, and safely. Scenarios may improve the design of HIT systems by ensuring clinician needs are well-articulated for high-value patient-care situations. This Practice- Oriented paper presents suggestions for the development and application of clinical scenarios throughout a robust user-centered design (UCD) process. As a flexible artifact, different types of scenarios can be used at each point across the UCD process and the rationale for their use are discussed, and we suggest key aspects that must be included for each specific type of scenario. This practice innovation will be beneficial to practitioners working within UCD processes, as guidance on adding scenarios as a tool in their work.

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Fainman, Emily Zhu, and Beste Kucukyazici. "Design of financial incentives and payment schemes in healthcare systems: A review." Socio-Economic Planning Sciences 72 (December 2020): 100901. http://dx.doi.org/10.1016/j.seps.2020.100901.

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Caillie, Didier Van, and Rima E. Rouhana. "The Design of Performance Monitoring Systems in Healthcare Organizations : A Stakeholder Perspective." Lebanese Medical Journal 64, no. 1 (2016): 33–39. http://dx.doi.org/10.12816/0023830.

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Taleb-Bendiab, A., David England, Martin Randles, Philip Miseldine, and Karen Murphy. "A principled approach to the design of healthcare systems: Autonomy vs. governance." Reliability Engineering & System Safety 91, no. 12 (December 2006): 1576–85. http://dx.doi.org/10.1016/j.ress.2006.01.011.

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Journal articles on the topic 'Healthcare Systems Design'

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