IT Architectures and Implementations in Healthcare Environments
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ItemA Multi-Sensor System for Enhancing Situational Awareness and Stress Management for People with ASD in the Workplace and in Everyday Life( 2019-01-08)Autism spectrum disorders (ASD) present challenges for affected people at work and in everyday life. The barrier increases further with changing environmental situations. Deviations in factors like lighting or sound may lead to increased stress. The intervention plans to instil positive behaviour support (PBS) suggest that a customised environment can minimise the impacts due to these variations. This work proposes a novel framework which leverages the information from multi-sensor channels in a combined manner to customise the environment so that situational awareness (SA) can be improved. The proposed framework allows for monitoring the environment by combining the information from different sensor channels including both personal sensors (i.e. on board of a mobile device) as well as environmental sensors/actuators (i.e. embedded in smart-buildings). In this preliminary work, the system architecture is introduced. To demonstrate the potential of the proposed system, a case study is also considered through the development of a prototype for a mobile application and by reporting results on a scale model of a smart workplace with customisable environment.
ItemInfluencing Factors of Clinical Patient Recruitment Systems Design( 2019-01-08)Clinical patient recruitment (CPR) is a critical function in clinical research. However, there is no holistic design for CPR systems that incorporates functions to support all critical success factors of clinical trial performance. In order to fill this gap, a study based on a literature review and several semi-structured expert interviews was conducted. Existing theory was synthesized with newly found influence factors using categories from CPR theory and factors gathered from literature and experts. The result is a systematization of influence factors of CPR that can be used for derivation of requirements for CPR systems in a subsequent research step or for the purpose of causal modeling.
ItemTowards an Artificial Pancreas: Software Architectural Model and Implementation for Personalized Insulin Administration( 2019-01-08)Research on an Artificial Pancreas has gained its momentum and focused on the processing of clinical data for continuous insulin administration. However, the overall research is rather sketchy, fragmented and not very well coordinated. In this paper, we propose an architectural model for creating software intensive environments, which address deficiencies of current solutions for insulin infusion. A new way of defining which data should be collected and which types of computations should be performed with the data is important if we wish to come close to the functioning of a natural pancreas. An excerpt of the proposed software architecture has been deployed using Watson Analytics and performed upon a selection of data collected from sensors, individual patient’s input and persistent patient records.
ItemA Case Study Perspective to the Digital Transformation of a Hospital’s Perioperative Process( 2019-01-08)Based on a 177-month longitudinal study of a large 1,157 registered-bed academic medical center, this research examines the observed effects associated with the digital transformation of a United States hospital’s perioperative process. The observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy to yield a digital transformation framework that supports patient-centric improvement across the perioperative sub-processes of pre-admissions, pre-operative, intra-operative, post-operative, and central sterile supply. This case study identifies existing perioperative sub-process limitations, potential capabilities, and subsequent sub-process contextual understanding to minimize perioperative process complexity. Specific perioperative nursing documentation as electronic medical records demonstrate the utility and value of patient-centric perioperative data collected within integrated hospital information systems as an organizational resource for process management and control. The case results are discussed, including theoretical and practical implications as well as study limitations.