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ORIGINAL ARTICLE
Technological prospecting of patents related to monitoring accidents due to falls in hospitals
Revista Brasileira de Enfermagem. 2024;77(1):e20230084
02-26-2024
Resumo
ORIGINAL ARTICLETechnological prospecting of patents related to monitoring accidents due to falls in hospitals
Revista Brasileira de Enfermagem. 2024;77(1):e20230084
02-26-2024DOI 10.1590/0034-7167-2023-0084
Visualizações0Ver maisABSTRACT
Objectives:
to map the production of technologies aimed at monitoring falls in a hospital environment protected by registered patents.
Methods:
a technological prospecting of international patents, with a quantitative approach, with search carried out between February and March 2022 in the Derwent Innovations Index database with descriptors fall, hospital, monitoring.
Results:
212 patents were found, with the majority filed and published since 2010, by Tran B (9) and Cerner Innovation Inc (9), focused on health technology. Universities were responsible for 13% of deposits. There was a predominance of records from the United States (43.4%), China (21.7%) and Japan (12.3%), in addition to technological strategies classified as devices for the environment (80.7%) and for preventing falls (66.5%) as well as trend towards resources with multiple functionalities in the same technology.
Conclusions:
the plurality of functions in the same device reflects the search for optimizing resources and the concern with comprehensive care.
Visualizações0
Resumo
ORIGINAL ARTICLETechnological prospecting of patents related to monitoring accidents due to falls in hospitals
Revista Brasileira de Enfermagem. 2024;77(1):e20230084
02-26-2024DOI 10.1590/0034-7167-2023-0084
Visualizações0Ver maisABSTRACT
Objectives:
to map the production of technologies aimed at monitoring falls in a hospital environment protected by registered patents.
Methods:
a technological prospecting of international patents, with a quantitative approach, with search carried out between February and March 2022 in the Derwent Innovations Index database with descriptors fall, hospital, monitoring.
Results:
212 patents were found, with the majority filed and published since 2010, by Tran B (9) and Cerner Innovation Inc (9), focused on health technology. Universities were responsible for 13% of deposits. There was a predominance of records from the United States (43.4%), China (21.7%) and Japan (12.3%), in addition to technological strategies classified as devices for the environment (80.7%) and for preventing falls (66.5%) as well as trend towards resources with multiple functionalities in the same technology.
Conclusions:
the plurality of functions in the same device reflects the search for optimizing resources and the concern with comprehensive care.
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TECHNOLOGICAL INNOVATION
Web App for prediction of hospitalisation in Intensive Care Unit by covid-19
Revista Brasileira de Enfermagem. 2023;76(6):e20220740
12-04-2023
Resumo
TECHNOLOGICAL INNOVATIONWeb App for prediction of hospitalisation in Intensive Care Unit by covid-19
Revista Brasileira de Enfermagem. 2023;76(6):e20220740
12-04-2023DOI 10.1590/0034-7167-2022-0740
Visualizações0Ver maisABSTRACT
Objective:
To develop a Web App from a predictive model to estimate the risk of Intensive Care Unit (ICU) admission for patients with covid-19.
Methods:
An applied technological production research was carried out with the development of Streamlit using Python, considering the decision tree model that presented the best performance (AUC 0.668).
Results:
Based on the variables associated with Precision Nursing, Streamlit stratifies patients admitted to clinical units who are most likely to be admitted to the Intensive Care Unit, serving as a decision-making support tool for healthcare professionals.
Final considerations:
The performance of the model may have been influenced by the start of vaccination during the data collection period, however, the Web App via Streamlit proved to be a feasible tool for presenting research results, due to the ease of understanding by nurses and its potential for supporting clinical decision-making.
Visualizações0Resumo
TECHNOLOGICAL INNOVATIONWeb App for prediction of hospitalisation in Intensive Care Unit by covid-19
Revista Brasileira de Enfermagem. 2023;76(6):e20220740
12-04-2023DOI 10.1590/0034-7167-2022-0740
Visualizações0Ver maisABSTRACT
Objective:
To develop a Web App from a predictive model to estimate the risk of Intensive Care Unit (ICU) admission for patients with covid-19.
Methods:
An applied technological production research was carried out with the development of Streamlit using Python, considering the decision tree model that presented the best performance (AUC 0.668).
Results:
Based on the variables associated with Precision Nursing, Streamlit stratifies patients admitted to clinical units who are most likely to be admitted to the Intensive Care Unit, serving as a decision-making support tool for healthcare professionals.
Final considerations:
The performance of the model may have been influenced by the start of vaccination during the data collection period, however, the Web App via Streamlit proved to be a feasible tool for presenting research results, due to the ease of understanding by nurses and its potential for supporting clinical decision-making.
Inventions Archives - Revista Brasileira de Enfermagem
