Previsão de tempos de internamento num hospital português: aplicação da metodologia CRISP-DM

Laureano, Raul; Caetano, Nuno; Cortez, Paulo

doi:10.4304/risti.13.83-98

Cited by 4 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Initially, the data adequacy process was based on the first three steps of the CRISP-DM (Cross Industry Standard Process for Data Mining) data science technique ( 29 , 30 ), which precede the data analysis: problem understanding, data understanding, and data preparation. Also, it was necessary to include three other steps to organize other procedures and operational challenges that went beyond this scope.…”

Section: Methodsmentioning

confidence: 99%

Operational Challenges in the Use of Structured Secondary Data for Health Research

Areco

Konstantyner

Bandiera-Paiva

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

Background: In Brazil, secondary data for epidemiology are largely available. However, they are insufficiently prepared for use in research, even when it comes to structured data since they were often designed for other purposes. To date, few publications focus on the process of preparing secondary data. The present findings can help in orienting future research projects that are based on secondary data.Objective: Describe the steps in the process of ensuring the adequacy of a secondary data set for a specific use and to identify the challenges of this process.Methods: The present study is qualitative and reports methodological issues about secondary data use. The study material was comprised of 6,059,454 live births and 73,735 infant death records from 2004 to 2013 of children whose mothers resided in the State of São Paulo - Brazil. The challenges and description of the procedures to ensure data adequacy were undertaken in 6 steps: (1) problem understanding, (2) resource planning, (3) data understanding, (4) data preparation, (5) data validation and (6) data distribution. For each step, procedures, and challenges encountered, and the actions to cope with them and partial results were described. To identify the most labor-intensive tasks in this process, the steps were assessed by adding the number of procedures, challenges, and coping actions. The highest values were assumed to indicate the most critical steps.Results: In total, 22 procedures and 23 actions were needed to deal with the 27 challenges encountered along the process of ensuring the adequacy of the study material for the intended use. The final product was an organized database for a historical cohort study suitable for the intended use. Data understanding and data preparation were identified as the most critical steps, accounting for about 70% of the challenges observed for data using.Conclusion: Significant challenges were encountered in the process of ensuring the adequacy of secondary health data for research use, mainly in the data understanding and data preparation steps. The use of the described steps to approach structured secondary data and the knowledge of the potential challenges along the process may contribute to planning health research.

show abstract

Section: Methodsmentioning

confidence: 99%

Operational Challenges in the Use of Structured Secondary Data for Health Research

Areco

Konstantyner

Bandiera-Paiva

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…Decision-making support models have proven to be useful in health systems, particularly in hospital management, to achieve the goals of reducing hospitalization time, increasing the number of available beds, and reduce waiting lists. Models that predict the length of stay might be especially helpful to achieve these objectives ( 10 , 16 , 26 ).…”

Section: Discussionmentioning

confidence: 99%

Decision-making support systems on extended hospital length of stay: Validation and recalibration of a model for patients with AMI

et al. 2023

View full text Add to dashboard Cite

BackgroundCardiovascular diseases are still a significant cause of death and hospitalization. In 2019, circulatory diseases were responsible for 29.9% of deaths in Portugal. These diseases have a significant impact on the hospital length of stay. Length of stay predictive models is an efficient way to aid decision-making in health. This study aimed to validate a predictive model on the extended length of stay in patients with acute myocardial infarction at the time of admission.MethodsAn analysis was conducted to test and recalibrate a previously developed model in the prediction of prolonged length of stay, for a new set of population. The study was conducted based on administrative and laboratory data of patients admitted for acute myocardial infarction events from a public hospital in Portugal from 2013 to 2015.ResultsComparable performance measures were observed upon the validation and recalibration of the predictive model of extended length of stay. Comorbidities such as shock, diabetes with complications, dysrhythmia, pulmonary edema, and respiratory infections were the common variables found between the previous model and the validated and recalibrated model for acute myocardial infarction.ConclusionPredictive models for the extended length of stay can be applied in clinical practice since they are recalibrated and modeled to the relevant population characteristics.

show abstract

“…Os tempos de resposta e a qualidade do serviço são fundamentais nos SI em saúde (Laureano et al, 2014;Freixo & Rocha, 2014).…”

Section: Contextualização Do Problemaunclassified

A governação em SI: o caso da gestão das convenções e acordos de saúde do Algarve

Lami

Fernandes

Vaz

2015

RISTI

View full text Add to dashboard Cite

Resumo: O presente trabalho é produto da investigação realizada numa instituição pública -Administração Regional de Saúde do Algarve (ARS Algarve) -a uma das áreas que tutela: as convenções e acordos de Meios Complementares de Diagnóstico e Terapêutica. Sem um sistema de informação que permita reter informação, e algum conhecimento tácito detido pelos seus profissionais, a gestão operacional desta área carece de eficiência. Isto levanta a necessidade de desenvolver um sistema de informação que cubra esta lacuna e sirva de suporte à prestação de informação útil ao utente. Foram estudados sistemas semelhantes, entrevistados especialistas do setor e realizados inquéritos a fim de desenvolver uma solução final ajustada às necessidades concretas dos utilizadores. Esta foi a grande preocupação do projeto, focando o estudo nos problemas, necessidades e aspirações daqueles que lidam com esta área.Palavras-chave: inovação, empreendedorismo, gestão do conhecimento, gestão de projetos, convenções de saúde públicas. Governance in IS: the case of the management of conventions and health agreements of the AlgarveAbstract: This work results from a research conducted in a public institution -the Regional Health Administration of Algarve (ARS Algarve) -on one of the areas it manages: conventions and agreements on Complementary Means of Diagnosis and Therapy. Without an information system that retains information, and some tacit knowledge held by its professionals, the operational management in this area lacks efficiency. This raises the need to develop an information system to cover this gap and serve to support the provision of useful information to users. Similar systems were studied, industry experts interviewed and surveys conducted in order to develop a final solution tailored to users' specific needs. This was the major concern of the project, focusing the study on the problems, needs and aspirations of those who deal with this area.

show abstract

Previsão de tempos de internamento num hospital português: aplicação da metodologia CRISP-DM

Cited by 4 publications

References 21 publications

Operational Challenges in the Use of Structured Secondary Data for Health Research

Operational Challenges in the Use of Structured Secondary Data for Health Research

Decision-making support systems on extended hospital length of stay: Validation and recalibration of a model for patients with AMI

A governação em SI: o caso da gestão das convenções e acordos de saúde do Algarve

Contact Info

Product

Resources

About