Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Interest
Topics
Details

Details

Publications

2021

CMIID: A comprehensive medical information identifier for clinical search harmonization in Data Safe Havens

Authors
Domingues, MAP; Camacho, R; Rodrigues, PP;

Publication
Journal of Biomedical Informatics

Abstract
Over the last decades clinical research has been driven by informatics changes nourished by distinct research endeavors. Inherent to this evolution, several issues have been the focus of a variety of studies: multi-location patient data access, interoperability between terminological and classification systems and clinical practice and records harmonization. Having these problems in mind, the Data Safe Haven paradigm emerged to promote a newborn architecture, better reasoning and safe and easy access to distinct Clinical Data Repositories. This study aim is to present a novel solution for clinical search harmonization within a safe environment, making use of a hybrid coding taxonomy that enables researchers to collect information from multiple repositories based on a clinical domain query definition. Results show that is possible to query multiple repositories using a single query definition based on clinical domains and the capabilities of the Unified Medical Language System, although it leads to deterioration of the framework response times. Participants of a Focus Group and a System Usability Scale questionnaire rated the framework with a median value of 72.5, indicating the hybrid coding taxonomy could be enriched with additional metadata to further improve the refinement of the results and enable the possibility of using this system as data quality tagging mechanism. © 2020 Elsevier Inc.

2021

Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings

Authors
Abreu, PH; Rodrigues, PP; Fernández, A; Gama, J;

Publication
IDA

Abstract

2020

Simulation of the effects of COVID-19 testing rates on hospitalizations

Authors
Sousa Pinto, B; Fonseca, JA; Oliveira, B; Cruz Correia, R; Rodrigues, PP; Costa Pereira, A; Rocha Goncalves, FN;

Publication
BULLETIN OF THE WORLD HEALTH ORGANIZATION

Abstract

2020

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

Authors
Pereira, RC; Santos, MS; Rodrigues, PP; Abreu, PH;

Publication
J. Artif. Intell. Res.

Abstract

2020

Outcomes of managing healthcare services using the Theory of Constraints: A systematic review

Authors
Bacelar Silva, GM; Cox, JF; Rodrigues, PP;

Publication
HEALTH SYSTEMS

Abstract
Despite ever-increasing resources devoted to healthcare, lack of capacity and timeliness are still chronic problems worldwide. This systematic review aims to present an overview of the Theory of Constraints (TOC) implementations in healthcare services and their outcomes. We analysed 42 TOC implementations (15 full-text articles, 12 video proceedings, and 2 theses/disserations) from major scientific electronic databases and TOC International Certification Organization Conferences. All implementations reported positive outcomes, both tangible and intangible. The two main improvements reported by authors were in productivity (98%; n = 41) - more patients treated - and in the timeliness of care (83%; n = 35). Furthermore, the selected studies reported dramatic improvements: 50% mean reductions in patient waiting time; 38% reduction in patient length of stay; 43% mean increase in operating room productivity and 34% mean increase in throughput. TOC implementations attained positive results in all levels of the health and social care chain. Most TOC recommendations and changes showed almost immediate results and required little or no additional cost to implement. Evidence supports TOC as a promising solution for the chronic healthcare problem, improving quality and timeliness, both necessary conditions for providing effective healthcare.