Southwest Research Institute assistance to NASA in biomedical areas of the technology utilization program Final report, 1 Feb. 1969 - 24 Aug. 1970

Research progress in technology transfer by NASA Biomedical Application Tea

Generification by Translation: Designing Generic Systems in Context of the Local

While the mechanisms of generification during implementation and use of large-scale systems are well known, this paper extends and analyzes the notion into the design phase of generic systems and provides insight into the associated socio-technical key mechanisms at play. The paper draws on the information infrastructure literature, and emphasizes how generic systems’ designs always face infrastructural challenges and opportunities in the development process. The paper illustrates how a vendor solved the infrastructural challenges by (to a large degree) lending on local practice, translating perspectives, and carefully adjusting their design strategy over time. We argue that our findings have implications for practice because they underscore the malleability of the collaboration process between vendor and users. First, we suggest that designing a generic system calls for a flexible vendor willing to change and adjust the development strategy along with the evolving project. Second, to strengthen the user-developer collaboration, we highly recommend giving the user-participants, at the very early stage of a development project, a basic understanding of software design, and raising their skills in making precise contextual narratives. Third, we emphasize the importance of the project management’s engagement in recruiting clinical personnel and in making it possible for the clinicians to participate in the project. Empirically, the paper presents the initial stages of a large electronic patient record (EPR) development project that has been running from 2012 in the North Norwegian health region and is due to finish in 2016

An Optimisation-based Framework for Complex Business Process: Healthcare Application

The Irish healthcare system is currently facing major pressures due to rising demand, caused by population growth, ageing and high expectations of service quality. This pressure on the Irish healthcare system creates a need for support from research institutions in dealing with decision areas such as resource allocation and performance measurement. While approaches such as modelling, simulation, multi-criteria decision analysis, performance management, and optimisation can – when applied skilfully – improve healthcare performance, they represent just one part of the solution. Accordingly, to achieve significant and sustainable performance, this research aims to develop a practical, yet effective, optimisation-based framework for managing complex processes in the healthcare domain. Through an extensive review of the literature on the aforementioned solution techniques, limitations of using each technique on its own are identified in order to define a practical integrated approach toward developing the proposed framework. During the framework validation phase, real-time strategies have to be optimised to solve Emergency Department performance issues in a major hospital. Results show a potential of significant reduction in patients average length of stay (i.e. 48% of average patient throughput time) whilst reducing the over-reliance on overstretched nursing resources, that resulted in an increase of staff utilisation between 7% and 10%. Given the high uncertainty in healthcare service demand, using the integrated framework allows decision makers to find optimal staff schedules that improve emergency department performance. The proposed optimum staff schedule reduces the average waiting time of patients by 57% and also contributes to reduce number of patients left without treatment to 8% instead of 17%. The developed framework has been implemented by the hospital partner with a high level of success

22nd EAA Congress – 15th ISGA Congress – 5th International Conference of Evolutionary Medicine

This Abstract book covers material of the Joint International Meeting: 22nd EAA Congress, 15th ISGA Congress, 5th International Conference of Evolutionary Medicine. This event was organized at Vilnius University (Lithuania) in 2022 on August 24-27th in a hybrid way, which brought together 28 famous keynote speakers from Austria, Great Britain, the USA, Australia, Croatia, Poland, France, Switzerland, Germany and other countries. This book includes the abstracts of more than 180 presentations. The main theme of the 22nd Congress of EAA (European Anthropology Association) is Human variation and adaptation in a changing world with a particular focus on physical, biopsychosocial and general health changes in the human body. The topics of the 15th Congress of ISGA (International Society for the Study of Human Growth and Clinical Auxology) expand our understanding of human growth and development in health and disease. Special attention is paid to human growth in the period of early ontogenesis, to environmental factors affecting growth (including growth in war and other stressful conditions), children and adolescents’ nutrition and body composition, also modern analyses of growth data. The 5th International Conference on Evolutionary Medicine expands an interdisciplinary approach to understanding the diversity of human health and disease, sharing research from different fields to cooperate together in order to understand the mechanisms of different disease from the evolutionary point of view. The Abstract Book of this joint international event should not only be interesting to scientists of various scientific fields such as anthropology, human biology, public health, and health education, but also to clinical doctors, especially neonatologists, paediatricians, family practitioners and many others. Organisers believe that knowledge of the potential of human adaptation and evolutionary mechanisms in maintaining the health and wellbeing of our species will encourage fruitful interdisciplinary discussions in medical society as well as among biologists, sociologists and other specialists

Space Station Engineering Design Issues

Space Station Freedom topics addressed include: general design issues; issues related to utilization and operations; issues related to systems requirements and design; and management issues relevant to design

Advanced multiparametric optimization and control studies for anaesthesia

Anaesthesia is a reversible pharmacological state of the patient where hypnosis, analgesia and muscle relaxation are guaranteed and maintained throughout the surgery. Analgesics block the sensation of pain; hypnotics produce unconsciousness, while muscle relaxants prevent unwanted movement of muscle tone. Controlling the depth of anaesthesia is a very challenging task, as one has to deal with nonlinearity, inter- and intra-patient variability, multivariable characteristics, variable time delays, dynamics dependent on the hypnotic agent, model analysis variability, agent and stability issues. The modelling and automatic control of anaesthesia is believed to (i) benefit the safety of the patient undergoing surgery as side-effects may be reduced by optimizing the drug infusion rates, and (ii) support anaesthetists during critical situations by automating the drug delivery systems. In this work we have developed several advanced explicit/multi-parametric model predictive (mp-MPC) control strategies for the control of depth of anaesthesia. State estimation techniques are developed and used simultaneously with mp-MPC strategies to estimate the state of each individual patient, in an attempt to overcome the challenges of inter- and intra- patient variability, and deal with possible unmeasurable noisy outputs. Strategies to deal with the nonlinearity have been also developed including local linearization, exact linearization as well as a piece-wise linearization of the Hill curve leading to a hybrid formulation of the patient model and thereby the development of multiparametric hybrid model predictive control methodology. To deal with the inter- and intra- patient variability, as well as the noise on the process output, several robust techniques and a multiparametric moving horizon estimation technique have been design and implemented. All the studies described in the thesis are performed on clinical data for a set of 12 patients who underwent general anaesthesia.Open Acces

2012 Conference Abstracts: Annual Undergraduate Research Conference at the Interface of Biology and Mathematics

URC Schedule and Abstract Book for the Fourth Annual Undergraduate Research Conference at the Interface of Biology and Mathematics Date: November 17-18, 2012Plenary speaker: Christine E. Heitsch, Associate Professor of Mathematics at Georgia Institute of TechnologyFeatured speaker: John W. Glasser, Center for Disease Contro

Translational Oncogenomics and Human Cancer Interactome Networks

An overview of translational, human oncogenomics, transcriptomics and cancer interactomic networks is presented together with basic concepts and potential, new applications to Oncology and Integrative Cancer Biology. Novel translational oncogenomics research is rapidly expanding through the application of advanced technology, research findings and computational tools/models to both pharmaceutical and clinical problems. A self-contained presentation is adopted that covers both fundamental concepts and the most recent biomedical, as well as clinical, applications. Sample analyses in recent clinical studies have shown that gene expression data can be employed to distinguish between tumor types as well as to predict outcomes. Potentially important applications of such results are individualized human cancer therapies or, in general, ‘personalized medicine’. Several cancer detection techniques are currently under development both in the direction of improved detection sensitivity and increased time resolution of cellular events, with the limits of single molecule detection and picosecond time resolution already reached. The urgency for the complete mapping of a human cancer interactome with the help of such novel, high-efficiency / low-cost and ultra-sensitive techniques is also pointed out