scholarly journals Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework

Author(s):  
Sarah Collins Rossetti ◽  
Chris Knaplund ◽  
Dave Albers ◽  
Patricia C Dykes ◽  
Min Jeoung Kang ◽  
...  

Abstract Objective There are signals of clinicians’ expert and knowledge-driven behaviors within clinical information systems (CIS) that can be exploited to support clinical prediction. Describe development of the Healthcare Process Modeling Framework to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals). Materials and Methods We employed an iterative framework development approach that combined data-driven modeling and simulation testing to define and refine a process for phenotyping clinician behaviors. Our framework was developed and evaluated based on the Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) predictive model to detect and leverage signals of clinician expertise for prediction of patient trajectories. Results Seven themes—identified during development and simulation testing of the CONCERN model—informed framework development. The HPM-ExpertSignals conceptual framework includes a 3-step modeling technique: (1) identify patterns of clinical behaviors from user interaction with CIS; (2) interpret patterns as proxies of an individual’s decisions, knowledge, and expertise; and (3) use patterns in predictive models for associations with outcomes. The CONCERN model differentiated at risk patients earlier than other early warning scores, lending confidence to the HPM-ExpertSignals framework. Discussion The HPM-ExpertSignals framework moves beyond transactional data analytics to model clinical knowledge, decision making, and CIS interactions, which can support predictive modeling with a focus on the rapid and frequent patient surveillance cycle. Conclusions We propose this framework as an approach to embed clinicians’ knowledge-driven behaviors in predictions and inferences to facilitate capture of healthcare processes that are activated independently, and sometimes well before, physiological changes are apparent.

2006 ◽  
Vol 12 (3) ◽  
pp. 199-211 ◽  
Author(s):  
Siaw-Teng Liaw ◽  
Elizabeth Deveny ◽  
Iain Morrison ◽  
Bryn Lewis

2021 ◽  
Author(s):  
K. BUKENYA ◽  
M. N. OLAYA ◽  
E. J. PINEDA ◽  
M. MAIARU

Woven polymer matrix composites (PMCs) are leveraged in aerospace applications for their desirable specific properties, yet they are vulnerable to high residual stresses during manufacturing and their complex geometry makes experimental results difficult to observe. Process modeling is needed to characterize the effects of the curing and predict end stress states. Finite element software can be used to model woven architectures, however accurate representation of processing conditions remains a challenge when it comes to selecting boundary conditions. The effect of BCs on process-induced stress within woven PMCs is studied. The commercial Finite Element Analysis (FEA) software Abaqus is coupled with user-written subroutines in a process modeling framework. A two-dimensionally (2D) woven PMC repeating unit cell (RUC) is modeled with TexGen and Abaqus. Virtual curing is imposed on the bulk matrix. The BC study is conducted with Free, Periodic, Flat, and Flat-Free configurations. Results show that the end stress state is sensitive to the boundary condition assumptions. Flat BC results show great agreement with Periodic BCs. Residual stress results from process modeling are then compared with a linear-elastic thermal cooldown analysis in Abaqus. Cooldown results indicate an overestimation in matrix stresses compared with process modeling.


Author(s):  
Gianluigi Greco ◽  
Antonella Guzzo ◽  
Luigi Pontieri ◽  
Domenico Saccà

2010 ◽  
pp. 1627-1638
Author(s):  
Dimitris Folinas ◽  
Tania Pavlou ◽  
Bill Karakostas ◽  
Vicky Manthou

Among different approaches in business processes modelling procedure are those in virtual and dynamic organizational environments. In this paper, a conceptual framework for modelling business processes in Virtual Organizations is suggested, by introducing Web Services technology. Web Services can be the business enabler for the new organizational form, which is particularly well suited to meet the demands arising from today’s turbulent changes in the firms’ environment. The proposed framework consists of several steps in a bottom-up approach, aiming to support the modelling and coordination of the complex and shared business processes in the examined environment.


2018 ◽  
Vol 150 ◽  
pp. 06021
Author(s):  
Nurulisma Ismail ◽  
Rasimah Che Mohd Yusoff ◽  
Mohamad Umar Jiman

Reading is very important to access knowledge. Reading skills starts during preschool level no matter of the types of languages. At present, there are many preschool children who are still unable to recognize letters or even words. This leads to the difficulties in reading. Therefore, there is a need of intervention in reading to overcome such problems. Thus, technologies were adapted in enhancing learning skills, especially in learning to read among the preschool children. Phonological is one of the factors to be considered to ensure a smooth of transition into reading. Phonological concept enables the first learner to easily learn reading such to learn reading Malay language. The medium of learning to read Malay language can be assisted via the supportive of multimedia technology to enhance the preschool children learning. Thus, an interactive system is proposed via a development of interactive reading Malay language learning system, which is called as I-ReaMaLLS. As a part of the development of I-ReaMaLLS, this paper focus on the development of conceptual framework in developing interactive reading Malay language learning system (I-ReaMaLLS). I-ReaMaLLS is voice based system that facilitates the preschool learner in learning reading Malay language. The conceptual framework of developing I-ReaMaLLS is conceptualized based on the initial study conducted via methods of literature review and observation with the preschool children, aged 5 – 6 years. As the result of the initial study, research objectives have been affirmed that finally contributes to the design of conceptual framework for the development of I-ReaMaLLS.


2003 ◽  
Vol 17 (1) ◽  
pp. 69-73 ◽  
Author(s):  
R.A. Greenes

Many applications in a clinical information system can benefit from the incorporation of medical knowledge to provide patient-specific, point-of-care decision support. These include computer-based provider order entry, referral, clinical result interpretation, consultation, adverse event monitoring, scheduling, shared patient-doctor decision-making, and generation of alerts and reminders, among others. To be executable, knowledge must be represented in the form of rules, constraints, calculations, guidelines, and other logical/algorithmic formats. The main difficulty is that the integration of such knowledge into clinical applications, when it occurs, tends to be very system- and application-specific, often encoded in a programming language, or even in the formating specifications of a user interaction display. Also, the data references and services invoked are highly dependent on the system/platform and electronic medical record implementation. This makes it difficult and time-consuming to encode authoritative evidence-based knowledge, severely limits the ability to disseminate and share successes, and hampers efforts to review and update the logic as medical knowledge changes. Solutions to this problem involve the development of standards-based representations for medical knowledge, and tools for authoring/editing, dissemination, adaptation to local environments, and execution. Numerous approaches are being pursued, all of which will be described in this presentation.


2020 ◽  
Author(s):  
Barilee Barisi Baridam ◽  
Irene Govender

Abstract Background: Policy formulation and implementation are important aspects of the policy process that have attracted the attention of several researchers. From these studies, it has been determined that a reliable policy system is needed for progress and growth in any sector. Methods: A robust theoretical or conceptual framework is designed in this paper to enable a seamless policy formulation and implementation through the implementation of a variant of the Kingdon’s Multiple Streams Framework. The framework designed in this study employs various building blocks needed to form a reliable policy for any sector in order to facilitate growth and development. The conceptual framework (building blocks) serves as a lens through which the data collected for the study is analysed, based on the constructs upon which the study is conducted. To apply the proposed model, some hospitals in the Niger Delta were visited and served questionnaire. The questionnaire focused on the level of infrastructural development and the introduction of information and communication technology(ICT) e-health solution for healthcare delivery. Results: Statistical results from the questionnaire were obtained and used to address organizational, infrastructural and individual challenges in relation to policy formulation and implementation within the sector. The overall result proves the robustness of the proposed model. Conclusion: The paper presents a detailed and painstaking examination of the various aspects of the Kingdon’s model, and its application in the proposed model for policy formulation and implementation. The proposed framework is adopted in the study of Nigeria’s healthcare sector with a case study on the Niger Delta.


Author(s):  
G.P.H. KANDAMBI ◽  
W.M.J.I. WIJAYANAYAKA

E-commerce has several benefits with many challenges. The identity of the involved parties and verifying the suitability of the goods is a matter of debate. There is no proper theory to explain this complex online purchasing behavior. A conceptual framework development was conducted specifically to find a model to measure online purchasing intention.


2011 ◽  
Author(s):  
Stefan Bohn ◽  
Dirk Lindner ◽  
Christian Petzold ◽  
Oliver Burgert

Today, OR planning is supported by different clinical information systems. However, relevant patient information is distributed and spread over separate heterogeneous information systems (HIS, RIS, PACS), where each requires its own login and user interaction scheme. Furthermore, transfer of different planning data objects into the OR is currently not accomplished in a consistent electronic manner. This work proposes a framework, which integrates heterogeneous clinical information systems using a portal application with single-sign on and single-patient-lookup functionality. OR planning data can be composed into a digital planning record, which is seamlessly transferred to the modular integrated OR system. Data acquired or generated during surgery is automatically labeled with the electronic patient context, thus ensuring simple and consistent OR documentation.


Sign in / Sign up

Export Citation Format

Share Document