Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10042935
Nathan W. Walters, Diego Garcia, Karla Candelaria Oquendo, Emily C. Anania, Rian Mehta, Matthew Pierce, S. Rice, S. Winter, Mattie N. Milner
{"title":"Patient perception of interactive mobile healthcare apps: a predictive model","authors":"Nathan W. Walters, Diego Garcia, Karla Candelaria Oquendo, Emily C. Anania, Rian Mehta, Matthew Pierce, S. Rice, S. Winter, Mattie N. Milner","doi":"10.1504/ijhtm.2021.10042935","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10042935","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10039172
A. E. Fazziki, Hanane Allioui, M. Sadgal
{"title":"Advanced brain imaging based on game theory for an automated Alzheimer's disease diagnosis","authors":"A. E. Fazziki, Hanane Allioui, M. Sadgal","doi":"10.1504/ijhtm.2021.10039172","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10039172","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10042376
F. Fontanili, Leah Rifi, M. Mascolo, Cléa Martinez
The execution of an operating room schedule is constantly disrupted, which can decrease the initially targeted performance. Online operational management, which oversees daily activity, can reduce the deviations caused by disruptions between the initial schedule and the performed schedule. To support this process and encourage continuous improvement, we suggest a framework for analysing schedule execution in retrospect . The objectives are twofold: (1) to identify deviations and determine their root causes, and (2) to assess the relevance of the decisions made to reduce these deviations. This approach relies on a logbook to gather qualitative data on disruptions, and a dashboard to objectify the situation with computed indicators. We present an example of a schedule execution analysis in an anonymised French General Hospital.
{"title":"Framework for a retrospective analysis of operating room schedule execution","authors":"F. Fontanili, Leah Rifi, M. Mascolo, Cléa Martinez","doi":"10.1504/ijhtm.2021.10042376","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10042376","url":null,"abstract":"The execution of an operating room schedule is constantly disrupted, which can decrease the initially targeted performance. Online operational management, which oversees daily activity, can reduce the deviations caused by disruptions between the initial schedule and the performed schedule. To support this process and encourage continuous improvement, we suggest a framework for analysing schedule execution in retrospect . The objectives are twofold: (1) to identify deviations and determine their root causes, and (2) to assess the relevance of the decisions made to reduce these deviations. This approach relies on a logbook to gather qualitative data on disruptions, and a dashboard to objectify the situation with computed indicators. We present an example of a schedule execution analysis in an anonymised French General Hospital.","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10042934
M. Keyvanpour, Sajedeh Morabbi, S. V. Shojaedini
{"title":"A new deep structure to improve detection of P300 signals: using supervised learning as kernel of convolutional neural networks","authors":"M. Keyvanpour, Sajedeh Morabbi, S. V. Shojaedini","doi":"10.1504/ijhtm.2021.10042934","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10042934","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10043663
M. Skordoulis, Konstantinos Milioris, K. Papageorgiou, C. Konstantopoulos
{"title":"The use of healthcare information systems: a research study about health professionals' needs","authors":"M. Skordoulis, Konstantinos Milioris, K. Papageorgiou, C. Konstantopoulos","doi":"10.1504/ijhtm.2021.10043663","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10043663","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"5 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10042936
K. Strang
Search engines and the SPSS Python R extension were used to analyse COVID-19 healthcare big data information stored on the internet to identify significant limitations of statistical techniques. The sample was a manageable subset of dynamic information from the internet time-stamped to midnight of 14 April, 2020 with a filter set for coronavirus confirmed cases or deaths in Wuhan Hubei province in China, New York State in USA and New South Wales, Australia. There were surprising results, indicating using general analytics that the healthcare big data were not reliable. Interesting relationships were detected when linking Australian foreign property ownership to the cities experiencing the largest coronavirus related fatalities.
{"title":"General analytics limitations with coronavirus healthcare big data","authors":"K. Strang","doi":"10.1504/ijhtm.2021.10042936","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10042936","url":null,"abstract":"Search engines and the SPSS Python R extension were used to analyse COVID-19 healthcare big data information stored on the internet to identify significant limitations of statistical techniques. The sample was a manageable subset of dynamic information from the internet time-stamped to midnight of 14 April, 2020 with a filter set for coronavirus confirmed cases or deaths in Wuhan Hubei province in China, New York State in USA and New South Wales, Australia. There were surprising results, indicating using general analytics that the healthcare big data were not reliable. Interesting relationships were detected when linking Australian foreign property ownership to the cities experiencing the largest coronavirus related fatalities.","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.119165
Rekha Rajagopal
{"title":"Investigation of ECG signal suitability for key generation to secure body area sensor networks","authors":"Rekha Rajagopal","doi":"10.1504/ijhtm.2021.119165","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.119165","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66975104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10041766
S. Shukla, Nishita Mehta
{"title":"Value and organisational implications of big data and advanced analytics in healthcare: a case survey analysis","authors":"S. Shukla, Nishita Mehta","doi":"10.1504/ijhtm.2021.10041766","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10041766","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.10042933
R. Garg
{"title":"Accuracy comparison of the data mining classification techniques for the diabetic disease prediction","authors":"R. Garg","doi":"10.1504/ijhtm.2021.10042933","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.10042933","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66974478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/ijhtm.2021.119158
S. Sreedevi, E. Sherly
{"title":"Fuzzy soft set approach for classifying malignant and benign breast tumours","authors":"S. Sreedevi, E. Sherly","doi":"10.1504/ijhtm.2021.119158","DOIUrl":"https://doi.org/10.1504/ijhtm.2021.119158","url":null,"abstract":"","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66975004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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