The Use of Clinical Decision Support in Reducing Readmissions for Patients with Heart Failure: A Quasi-experimental Study

2021 ◽  
pp. 1-21
Author(s):  
Susan R. Giscombe ◽  
Diana-Lyn Baptiste ◽  
Binu Koirala ◽  
Reiko Asano ◽  
Yvonne Commodore-Mensah
Author(s):  
Neurilene Batista de Oliveira ◽  
Heloísa Helena Ciqueto Peres

Objective: to compare the quality of the Nursing process documentation in two versions of a clinical decision support system. Method: a quantitative and quasi-experimental study of the before-and-after type. The instrument used to measure the quality of the records was the Brazilian version of the Quality of Diagnoses, Interventions and Outcomes, which has four domains and a maximum score of 58 points. A total of 81 records were evaluated in version I (pre-intervention), as well as 58 records in version II (post-intervention), and the scores obtained in the two applications were compared. The interventions consisted of planning, pilot implementation of version II of the system, training and monitoring of users. The data were analyzed in the R software, using descriptive and inferential statistics. Results: the mean obtained at the pre-intervention moment was 38.24 and, after the intervention, 46.35 points. There was evidence of statistical difference between the means of the pre- and post-intervention groups, since the p-value was below 0.001 in the four domains evaluated. Conclusion: the quality of the documentation of the Nursing process in version II of the system was superior to version I. The efficacy of the system and the effectiveness of the interventions were verified. This study can contribute to the quality of documentation, care management, visibility of nursing actions and patient safety.


2019 ◽  
Vol 131 ◽  
pp. 103956
Author(s):  
Saul Blecker ◽  
Jonathan S. Austrian ◽  
Leora I. Horwitz ◽  
Gilad Kuperman ◽  
Donna Shelley ◽  
...  

Author(s):  
Asunción Albert ◽  
Antonio J. Serrano ◽  
Emilio Soria ◽  
Nicolás Victor Jiménez

In this chapter, authors develop a system for prevention and detection of congestive heart failure and fibrillation. Due to its narrow therapeutic range more than 10% of the patients treated with DGX can suffer toxic effects, but it is estimated that half of the cases of digitalis toxicity could be prevented. Two multivariate models were developed to prevent digitalis toxicity.


2013 ◽  
Vol 29 (4) ◽  
pp. 300-307 ◽  
Author(s):  
Pedro J. Caraballo ◽  
James M. Naessens ◽  
Mark J. Klarich ◽  
Dorinda J. Leutink ◽  
James A. Peterson ◽  
...  

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