2022
Esteves, M.; Abelha, A.; Machado, J.
Em: Wireless Networks, vol. 28, não 3, pp. 1279-1285, 2022, ISSN: 10220038, (cited By 4).
Resumo | Links | BibTeX | Etiquetas: Caregivers; Computational tools; Elderly people; Health information systems; Health informations; Health professionals; Pervasive webs; WEB application, Competitive intelligence; Data warehouses; Diagnosis; mHealth, Information analysis
@article{Esteves20221279,
title = {The development of a pervasive Web application to alert patients based on business intelligence clinical indicators: a case study in a health institution},
author = {M. Esteves and A. Abelha and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060693648&doi=10.1007%2fs11276-018-01911-6&partnerID=40&md5=820eb2dfb7c55bb1401f12834f41cd87},
doi = {10.1007/s11276-018-01911-6},
issn = {10220038},
year = {2022},
date = {2022-01-01},
journal = {Wireless Networks},
volume = {28},
number = {3},
pages = {1279-1285},
publisher = {Springer},
abstract = {This paper proposes the development of a pervasive Web application based on business intelligence clinical indicators created with the data stored into the health information systems of a Portuguese health institution in the last 3 years i.e. between the beginning of 2015 and the end of 2017. With this computational tool, it is principally intended to reduce the number of appointments, surgeries, and medical examinations that were not carried out in the hospital most likely due to forgetfulness since most patients who attend this health institution are elderly people and memory loss is very common with increasing age. Therefore, patients and/or their caregivers and family members are alerted via SMS in advance and appropriately by health professionals through the Web application. This alternative is cheaper, faster, and more customizable than sending those SMS using a smartphone. Advantages liked with the use of this solution also include decreasing losses concerning time, human resources, and money. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.},
note = {cited By 4},
keywords = {Caregivers; Computational tools; Elderly people; Health information systems; Health informations; Health professionals; Pervasive webs; WEB application, Competitive intelligence; Data warehouses; Diagnosis; mHealth, Information analysis},
pubstate = {published},
tppubtype = {article}
}
This paper proposes the development of a pervasive Web application based on business intelligence clinical indicators created with the data stored into the health information systems of a Portuguese health institution in the last 3 years i.e. between the beginning of 2015 and the end of 2017. With this computational tool, it is principally intended to reduce the number of appointments, surgeries, and medical examinations that were not carried out in the hospital most likely due to forgetfulness since most patients who attend this health institution are elderly people and memory loss is very common with increasing age. Therefore, patients and/or their caregivers and family members are alerted via SMS in advance and appropriately by health professionals through the Web application. This alternative is cheaper, faster, and more customizable than sending those SMS using a smartphone. Advantages liked with the use of this solution also include decreasing losses concerning time, human resources, and money. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
2018
Coelho, D.; Guimarães, T.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.
Pervasive business intelligence in misericordias – A Portuguese case study Proceedings Article
Em: L., Molloy W. O Donoghue J. Maciaszek (Ed.): pp. 93-106, Springer Verlag, 2018, ISSN: 18650929, (cited By 1; Conference of 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017 ; Conference Date: 28 April 2017 Through 29 April 2017; Conference Code:214519).
Resumo | Links | BibTeX | Etiquetas: Competitive intelligence; Surgery, Critical analysis; Dashboards; Data mart; Health-care system; Pervasive healthcare; Resource management; Single structure; Waiting lists, Information analysis
@inproceedings{Coelho201893,
title = {Pervasive business intelligence in misericordias – A Portuguese case study},
author = {D. Coelho and T. Guimarães and F. Portela and M. F. Santos and J. Machado and A. Abelha},
editor = {Molloy W. O Donoghue J. Maciaszek L.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048998444&doi=10.1007%2f978-3-319-93644-4_5&partnerID=40&md5=b2f1860826d95cf10197295386709390},
doi = {10.1007/978-3-319-93644-4_5},
issn = {18650929},
year = {2018},
date = {2018-01-01},
journal = {Communications in Computer and Information Science},
volume = {869},
pages = {93-106},
publisher = {Springer Verlag},
abstract = {The healthcare system is one of the main pillars of any society. However, it carries with it an enormous economic weight. Portugal, alongside with many others, is a country in economic and social restructuration and consequently, the need to increase the efficiency of resource management and services is imperative. With the proven effectiveness of Business Intelligence (BI) in many organisations, the urge to implement such tools in Healthcare arises, specifically in the healthcare of Misericórdia. In addition to the results, it presents a critical analysis of the implementation and the process followed for the development and usage of KPIs. In this work, some concepts associated with the use of BI in Misericórdias were addressed, and the architecture of the developed solution was designed. It is also important to emphasise that the solution presented is pervasive, available anywhere at any time. Through this work, it was possible to gather all the data into a single structure (Data Mart), to identify a set of aspects that can be improved and to have a generalised view of the state of operation of the organisation, as far as health care is concerned. The developed includes ten KPIs in the area of Surgery Production and Waiting List Surgery. The dashboards can be analysed in several dimensions: date, specialities, physicians, service, diagnosis, location and time. © 2018, Springer International Publishing AG, part of Springer Nature.},
note = {cited By 1; Conference of 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017 ; Conference Date: 28 April 2017 Through 29 April 2017; Conference Code:214519},
keywords = {Competitive intelligence; Surgery, Critical analysis; Dashboards; Data mart; Health-care system; Pervasive healthcare; Resource management; Single structure; Waiting lists, Information analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
The healthcare system is one of the main pillars of any society. However, it carries with it an enormous economic weight. Portugal, alongside with many others, is a country in economic and social restructuration and consequently, the need to increase the efficiency of resource management and services is imperative. With the proven effectiveness of Business Intelligence (BI) in many organisations, the urge to implement such tools in Healthcare arises, specifically in the healthcare of Misericórdia. In addition to the results, it presents a critical analysis of the implementation and the process followed for the development and usage of KPIs. In this work, some concepts associated with the use of BI in Misericórdias were addressed, and the architecture of the developed solution was designed. It is also important to emphasise that the solution presented is pervasive, available anywhere at any time. Through this work, it was possible to gather all the data into a single structure (Data Mart), to identify a set of aspects that can be improved and to have a generalised view of the state of operation of the organisation, as far as health care is concerned. The developed includes ten KPIs in the area of Surgery Production and Waiting List Surgery. The dashboards can be analysed in several dimensions: date, specialities, physicians, service, diagnosis, location and time. © 2018, Springer International Publishing AG, part of Springer Nature.