THAIS LESSA QUEIROZ

@uff.br

UNIVERSIDADE FEDERAL FLUMINENSE

5

Scopus Publications

Scopus Publications

  • Evaluation of the application of continuous improvement based on the Kaizen concept in Emergency Healthcare Units
    Ana Carolina Zeferino, Gabriel Nascimento Santos, Thais Lessa Queiroz, José Ricardo Souza Ramos
    Meta Avaliacao, 2023
  • HFMEA-FUZZY application: Similarity of the eight lean wastes in 20 emergency care units
    Harvey Ribeiro Cosenza, Nilra do Amaral Mendes Silva, Robisom Damasceno Calado, Ana Paula Barbosa Sobral, Thaís Lessa Queiroz
    Cases on Lean Thinking Applications in Unconventional Systems, 2022
    This study aims to demonstrate the importance of waste analysis and similarity of results. For that, the HFMEA-FUZZY was used as a tool. The study used waste results from 20 emergency care units (ECUs) from different regions of Brazilthrough the HFMEA criteria and complemented with the concepts of logic Fuzzy with the COPPE COSENZA methodology. The use of HFMEA-FUZZY aims to contribute to research in the health area where Lean healthcare will be or is already implemented. For that, it served as a basis for reports prepared after visits carried out in the emergency care units (ECUs).
  • Monitoring patient flow in the emergency care units (UPA) in the City of Guarulhos, Sao Paulo, Brazil
    Newton Narciso Pereira, Patrick Fernandes Ribeiro da Fonseca, Andrei Bonamigo, Luis Enrique Valdiviezo Viera, Thaís Lessa Queiroz
    Cases on Lean Thinking Applications in Unconventional Systems, 2022
    Performance indicators are an important tool for managers to identify how their organization is performing over time. Thus, a concept of the patient's timeline within the health unit was defined, which consists of monitoring from entry to exit, considering all the steps that patients went through during their stay in the emergency care units (UPA). This concept was applied to allow the monitoring of the performance of two UPA's being classified as (1) and (2) in the city of Guarulhos, SP. Data treatment was realized by Excel and were collected from 383 patients (UPA 1 only odd days) and 1123 patients (UPA 2 all days) between 02/01/2021 and 02/28/2021 then proceeded to the organization of data to analyze the processes flow involved. Patients were grouped according to risk classification—red, orange, yellow, green, and blue—and especially medical clinic, orthopedics, pediatrics, dental attendance. Both UPA evaluated the major attendance were classified with green and blue, and in terms of treatment, the medical clinic was priority when compared with others offered in these UPA.
  • Monitoring Patient Flow in the One Emergency Care Unit (UPA) in São Paulo Brazil
    Newton Narciso Pereira, Patrick Fernandes Ribeiro da Fonseca, Luis Enrique Viera, Thaís Lessa Queiroz, Robisom Damasceno Calado
    IFAC Papersonline, 2022
  • Potential of continuing education in Health of improvement practices in urgency and emergencies in Emergency Care Units - UPA-24h
    Adalberto da Cruz Lima, Christiane Lima Barbosa, Sandra Maria do Amaral Chaves, Jackson Gonçalves Oliveira, Thaís Lessa Queiroz, et al.
    IFAC Papersonline, 2022