Artificial Neural Learning Based on Big Data Process for eHealth Applications

Author(s):  
Nuno Pombo ◽  
Nuno M. Garcia ◽  
Kouamana Bousson ◽  
Virginie Felizardo

The complexity of the clinical context requires systems with the capability to make decisions based on reduced sets of data. Moreover, the adoption of mobile and ubiquitous devices could provide personal health-related information. In line with this, eHealth application faces several challenges so as to provide accurate and reliable data to both healthcare professionals and patients. This chapter focuses on computational learning on the healthcare systems presenting different classification processes to obtain knowledge from data. Finally, a case study based on a radial basis function neural network aiming the estimation of ECG waveform is explained. The presented model revealed its adaptability and suitability to support clinical decision making. However, complementary studies should be addressed to enable the model to predict the upper and lower points related to upward and downward deflections.

2016 ◽  
pp. 1524-1540
Author(s):  
Nuno Pombo ◽  
Nuno M. Garcia ◽  
Kouamana Bousson ◽  
Virginie Felizardo

The complexity of the clinical context requires systems with the capability to make decisions based on reduced sets of data. Moreover, the adoption of mobile and ubiquitous devices could provide personal health-related information. In line with this, eHealth application faces several challenges so as to provide accurate and reliable data to both healthcare professionals and patients. This chapter focuses on computational learning on the healthcare systems presenting different classification processes to obtain knowledge from data. Finally, a case study based on a radial basis function neural network aiming the estimation of ECG waveform is explained. The presented model revealed its adaptability and suitability to support clinical decision making. However, complementary studies should be addressed to enable the model to predict the upper and lower points related to upward and downward deflections.


2020 ◽  
Author(s):  
Randyl A. Cochran ◽  
Sue S. Feldman ◽  
Nataliya V. Ivankova ◽  
Allyson G. Hall ◽  
William Opoku-Agyeman

BACKGROUND Patients with co-occurring behavioral health and chronic medical conditions frequently overutilize inpatient hospital services. This pattern of overuse contributes to inefficient healthcare spending. These patients require coordinated care to achieve optimal health outcomes. However, the poor exchange of health-related information between various clinicians renders the delivery of coordinated care challenging. Health information exchanges (HIEs) facilitate health-related information sharing and have been shown to be effective in chronic disease management, but their effectiveness in the delivery of integrated care is less clear. It is prudent to consider new approaches to sharing both general medical and behavioral health information. OBJECTIVE We identified and described factors that influence the intention to use behavioral health information that is shared through HIEs. METHODS A mixed methods study consisting of two phases was conducted. A validated survey instrument was emailed to clinical and non-clinical staff in Alabama and Oklahoma. The survey captured information about the impact of predictors on the intention to use behavioral health data in clinical decision-making. Follow-up interviews were conducted with a subsample of participants to understand the survey results better. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data. Thematic analysis was used to identify themes from the interviews. RESULTS Sixty-two participants completed the survey. 62.91% of the participants were clinicians. Performance expectancy (β= .382, P= .01) and trust (β= .539, P= .00) predicted intention to use behavioral health information shared via HIEs. Interviewees expressed that behavioral health information could be useful in clinical decision-making. However, privacy and confidentiality concerns discourage sharing this information, and it is generally missing from the patient record altogether. The interviewees (n= 5) also stated that training for HIE use was not mandatory, and the training that was provided did not focus on the exchange of behavioral health information specifically. CONCLUSIONS Despite barriers, individuals are willing to use behavioral health information from HIEs if they believe that it will enhance job performance and if the information being transmitted is trustworthy. The findings contribute to our understanding of the role HIEs can play in delivering integrated care, particularly to vulnerable patients.


2015 ◽  
Vol 42 ◽  
pp. S37
Author(s):  
M. Alvela ◽  
M. Bergmann ◽  
M.-L. Ööpik ◽  
Ü. Kruus ◽  
K. Englas ◽  
...  

2018 ◽  
Vol 39 (04) ◽  
pp. 356-370 ◽  
Author(s):  
Hope Gerlach ◽  
Naomi Rodgers ◽  
Patricia Zebrowski ◽  
Eric Jackson

AbstractStuttering anticipation is endorsed by many people who stutter as a core aspect of the stuttering experience. Anticipation is primarily a covert phenomenon and people who stutter respond to anticipation in a variety of ways. At the same time as anticipation occurs and develops internally, for many individuals the “knowing” or “feeling” that they are about to stutter is a primary contributor to the chronicity of the disorder. In this article, we offer a roadmap for both understanding the phenomenon of anticipation and its relevance to stuttering development. We introduce the Stuttering Anticipation Scale (SAS)—a 25-item clinical tool that can be used to explore a client's internal experience of anticipation to drive goal development and clinical decision making. We ground this discussion in a hypothetical case study of “Ryan,” a 14-year-old who stutters, to demonstrate how clinicians might use the SAS to address anticipation in therapy with young people who stutter.


2003 ◽  
Vol 21 (18) ◽  
pp. 3502-3511 ◽  
Author(s):  
Fabio Efficace ◽  
Andrew Bottomley ◽  
David Osoba ◽  
Carolyn Gotay ◽  
Henning Flechtner ◽  
...  

Purpose: The aim of this study was to evaluate whether the inclusion of health-related quality of life (HRQOL), as a part of the trial design in a randomized controlled trial (RCT) setting, has supported clinical decision making for the planning of future medical treatments in prostate cancer. Materials and Methods: A minimum standard checklist for evaluating HRQOL outcomes in cancer clinical trials was devised to assess the quality of the HRQOL reporting and to classify the studies on the grounds of their robustness. It comprises 11 key HRQOL issues grouped into four broader sections: conceptual, measurement, methodology, and interpretation. Relevant studies were identified in a number of databases, including MEDLINE and the Cochrane Controlled Trials Register. Both their HRQOL and traditional clinical reported outcomes were systematically analyzed to evaluate their consistency and their relevance for supporting clinical decision making. Results: Although 54% of the identified studies did not show any differences in traditional clinical end points between treatment arms and 17% showed a difference in overall survival, 74% of the studies showed some difference in terms of HRQOL outcomes. One third of the RCTs provided a comprehensive picture of the whole treatment including HRQOL outcomes to support their conclusions. Conclusion: A minimum set of criteria for assessing the reported outcomes in cancer clinical trials is necessary to make informed decisions in clinical practice. Using a checklist developed for this study, it was found that HRQOL is a valuable source of information in RCTs of treatment in metastatic prostate cancer.


Author(s):  
Andrew Tawfik ◽  
Karl Kochendorfer

The current case study is situated within a large, land grant hospital located in the Midwestern region of the United States. Although the physicians had seen an increase in medical related human performance technology (HPTs) within the organization (e.g. computer physician ordered entry) some challenges remained as the hospital sought to improve the productivity of the electronic health record (EHRs). Specifically, physicians had difficulty finding information embedded within the chart due to usability problems and information overload. To overcome the challenges, a semantic search within the chart was implemented as a solution for physicians to retrieve relevant results given the conceptual semantic pattern. The case study will discuss many elements of the implementation based on our experience and feedback from clinicians. The case will specifically highlight the importance of training and change agents within an organization.


Author(s):  
Donald E Stanley ◽  
Rune Nyrup

Abstract We distinguish three aspects of medical diagnosis: generating new diagnostic hypotheses, selecting hypotheses for further pursuit, and evaluating their probability in light of the available evidence. Drawing on Peirce’s account of abduction, we argue that hypothesis generation is amenable to normative analysis: physicians need to make good decisions about when and how to generate new diagnostic hypothesis as well as when to stop. The intertwining relationship between the generation and selection of diagnostic hypotheses is illustrated through the analysis of a detailed clinical case study. This interaction is not adequately captured by the existing probabilistic, decision-theoretic models of the threshold approach to clinical decision-making. Instead, we propose to conceptualize medical diagnosis in terms of strategic reasoning.


2002 ◽  
Vol 32 (8) ◽  
pp. 1345-1356 ◽  
Author(s):  
S. M. GILBODY ◽  
A. O. HOUSE ◽  
T. SHELDON

Background. Routine administration of Health Related Quality of Life (HRQoL) and needs assessment instruments has been advocated as part of clinical care to aid the recognition of psychosocial problems, to inform clinical decision making, to monitor therapeutic response and to facilitate patient–doctor communication. However, their adoption is not without cost and the benefit of their use is unclear.Method. A systematic review was conducted. We sought experimental studies that examined the addition of routinely administered measures of HRQoL to care in both psychiatric and non-psychiatric settings. We searched the following databases: MEDLINE, EMBASE, CINAHL, PsycLIT and Cochrane Controlled Trials Register (to 2000). Data were extracted independently and a narrative synthesis of results was presented.Results. Nine randomized and quasi-randomized studies conducted in non-psychiatric settings were found. All the instruments used included an assessment of mental well-being, with specific questions relating to depression and anxiety. The routine feedback of these instruments had little impact on the recognition of mental disorders or on longer term psychosocial functioning. While clinicians welcomed the information these instruments imparted, their results were rarely incorporated into routine clinical decision making. No studies were found that examined the value of routine assessment and feedback of HRQoL or patient needs in specialist psychiatric care settings.Conclusions. Routine HRQoL measurement is a costly exercise and there is no robust evidence to suggest that it is of benefit in improving psychosocial outcomes of patients managed in non-psychiatric settings. Major policy initiatives to increase the routine collection and use of outcome measures in psychiatric settings are unevaluated.


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