scholarly journals Automation of Healthcare-Associated Infections (HAIs) Areas for Opportunity Through the Use of Technology

2021 ◽  
Vol 1 (S1) ◽  
pp. s3-s3
Author(s):  
Meri Pearson
Keyword(s):  
Data Visualization ◽  
Surveillance System ◽  
Infection Type ◽  
Software Systems ◽  
Healthcare Associated Infection ◽  
Healthcare Facilities ◽  
Infection Surveillance ◽  
Visualization Software ◽  
Healthcare Associated ◽  
Investigation Process

Background: A large healthcare system in Georgia implemented an enhanced electronic infection surveillance system that is incorporated into the electronic medical record (EMR). Prior to the implementation of this electronic infection surveillance system, the infection prevention (IP) team performed healthcare-associated infection (HAI) surveillance through a locally created system that did not interface with their EMR. Each HAI identified undergoes a robust analysis for opportunities depending on the infection type by manual abstraction from the EMR, which is stored in a spreadsheet. One disadvantage of this spreadsheet is that only 1 person can enter data at a time. The coronavirus disease 2019 (COVID-19) pandemic has presented many challenges for healthcare facilities including shifting resources from HAI prevention programs. These programs include the investigations performed to identify risk factors that can aid in preventing future infections. Due to the necessity to increase efficiency in the current pandemic, the IP team proposed using technology to automate our HAI investigation process. Method: The IP team and the business intelligence (BI) team met to determine whether data completed in the electronic infection surveillance system could flow into an interactive data visualization software that is currently used for other HAI prevention dashboards. The existing spreadsheet was reviewed to select variables essential for HAI investigations and for which the data existed in the EMR. The BI team worked to find the correct data tables within the EMR so that the data could automatically refresh daily in the data visualization software. Result: The BI team was able to correctly identify variables used in the previously manual HAI investigation process within the EMR to interface with the data visualization software. This automation of investigations allows quick analysis of trends and areas of opportunity to prevent future HAIs. Conclusion: This utilization of technology can be applied to other healthcare facilities with similar software systems to streamline IP workflows. The automation of quickly and efficiently recognizing areas of opportunity allows IPs more time to facilitate the prevention of HAIs in other ways.Funding: NoDisclosures: None

scholarly journals Governmental surveillance system of healthcare-associated infection in Brazil

2014 ◽  
Vol 48 (4) ◽  
pp. 657-662 ◽  
Author(s):  
Cassimiro Nogueira Junior ◽  
Maria Clara Padoveze ◽  
Rúbia Aparecida Lacerda
Keyword(s):  
Surveillance System ◽  
Surveillance Systems ◽  
Healthcare Associated Infection ◽  
Cross Sectional ◽  
Southern States ◽  
Governmental Surveillance ◽  
Minimum Requirements ◽  
Two Phases ◽  
Healthcare Associated ◽  
And Control


Objective: This study aimed to describe the structure of governmental surveillance systems for Healthcare Associated Infection (HAI) in the Brazilian Southeastern and Southern States. Method: A cross-sectional, descriptive and exploratory study, with data collection by means of two-phases: characterization of the healthcare structure and of the HAI surveillance system. Results: The governmental teams for prevention and control of HAI in each State ranged from one to six members, having at least one nurse. All States implemented their own surveillance system. The information systems were classified into chain (n=2), circle (n=4) or wheel (n=1). Conclusion: Were identified differences in the structure and information flow from governmental surveillance systems, possibly limiting a nationwide standardization. The present study points to the need for establishing minimum requirements in public policies, in order to guide the development of HAI surveillance systems.


scholarly journals 2476. External and Internal Validation of the Healthcare-associated Infection Data in the Korean National Healthcare-associated Infectious Surveillance System (KONIS)

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S857-S858
Author(s):  
Yee Gyung Kwak ◽  
Je Eun Song ◽  
Young Hwa Choi ◽  
Sung Ran Kim ◽  
Su Ha Han ◽  
...  
Keyword(s):  
Surveillance System ◽  
Bloodstream Infections ◽  
Surveillance Data ◽  
Healthcare Associated Infection ◽  
Continuous Training ◽  
Monitoring Method ◽  
Internal Validation ◽  
National Healthcare ◽  
Tract Infections ◽  
Healthcare Associated

Abstract Background National surveillance data should be validated to identify data quality issues. This study tested the validity of healthcare-associated infection (HAI) data in the Korean National Healthcare-associated Infections Surveillance System (KONIS), intensive care unit (ICU) module. Methods The validation process consisted of external (EV) and internal (IV) validation phases. For the 10 hospitals that were selected based on the HAI rate, among the 193 participating hospitals between July 2016 and June 2017, both EV and IV were performed. For the EV, the validation team reviewed 295 medical records of 60 patients with reported HAIs, including 20 urinary tract infections (UTIs), 27 bloodstream infections (BSIs), and 13 cases of pneumonia (PNEU), and 235 patients with no reported HAI during 1-day visits conducted in November and December 2017. The reviewer’s diagnosis of HAI was regarded as the reference standard. IV was conducted by the staff of each hospital and evaluated whether UTI or BSI were present. Primary IV was performed for 279 patients who were subject to EV. Secondary IV was performed on 203 patients in another 11 selected participating hospitals that did not report HAIs to KONIS during the 1-year study period. Results In the EV, the diagnosis of UTI in the participating hospitals had a sensitivity of 72.0% and specificity of 99.3%. The sensitivity of BSI and PNEU was 63.2% and 70.6%, respectively, and specificity was 98.8% and 99.6%. The agreement (kappa) between the EV and primary IV was significant, with κ = 0.754 for UTI and κ = 0.674 for BSI. The results of the secondary IV showed that the hospitals that had no reports of HAI had few hospital beds and performed few blood or urine culture tests. In the secondary IV, eight UTIs and three BSIs were newly diagnosed in three hospitals, respectively. The reasons for not reporting the HAIs were presumed to be a lack of understanding of the surveillance standards and fear of the disadvantages of disclosing the HAI. Conclusion This study shows the need for ongoing validation and continuous training of surveillance personnel to maintain the accuracy of surveillance data. We also confirmed that IV can be used as an alternative monitoring method to examine validity and accuracy. Disclosures All authors: No reported disclosures.

Validation of healthcare-associated infection surveillance in smaller Australian hospitals

2018 ◽  
Vol 99 (1) ◽  
pp. 85-88
Author(s):  
A.J. Hoskins ◽  
L.J. Worth ◽  
N. Imam ◽  
S.A. Johnson ◽  
A.L. Bull ◽  
...  
Keyword(s):  
Healthcare Associated Infection ◽  
Infection Surveillance ◽  
Healthcare Associated

Impact on rates and time to first central vascular-associated bloodstream infection when switching from open to closed intravenous infusion containers in a hospital setting

2009 ◽  
Vol 137 (7) ◽  
pp. 1041-1048 ◽  
Author(s):  
F. FRANZETTI ◽  
B. BORGHI ◽  
F. RAIMONDI ◽  
V. D. ROSENTHAL
Keyword(s):  
Hospital Setting ◽  
Bloodstream Infections ◽  
Venous Catheter ◽  
Healthcare Associated Infection ◽  
Open Label ◽  
Closed Container ◽  
Infection Surveillance ◽  
Open Container ◽  
Healthcare Associated ◽  
Time To Onset

SUMMARYAn open-label, prospective cohort, active healthcare-associated infection surveillance sequential study was conducted in four Italian intensive-care units. The aim was to determine the effect of switching from open (glass) to closed fully collapsible plastic intravenous (i.v.) infusion containers (Viaflo®) on rate and time to onset of central venous catheter-associated bloodstream infections (CVC-BSI). A total of 1173 adult patients were enrolled. The CVC-BSI rate during the open container period was significantly higher than during the closed container period (8·2vs. 3·5 BSI/1000 CVC days, relative risk 0·43, 95% confidence interval 0·22–0·84,P=0·01). The probability of developing a CVC-BSI was assessed over time comparing open and closed i.v. infusion containers. In the closed container period, it remained fairly constant (0·8% at days 1–3 to 1·4% at days 7–9) whereas during the open container period it increased (2% at days 1–3 to 5·8% at days 7–9). Overall, the chance of acquiring a CVC-BSI significantly decreased by 61% in the closed container period (Cox proportional hazard ratio 0·39,P=0·004).

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