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Research Studies is a compilation of published research articles funded by 大象APPor authored by 大象APPresearchers.
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1 to 2 of 2 Research Studies DisplayedSong J, Woo K, Shang J
Predictive risk models for wound infection-related hospitalization or ED visits in home health care using machine-learning algorithms.
Wound infection is prevalent in home healthcare (HHC) and often leads to hospitalizations. However, none of the previous studies of wounds in HHC have used data from clinical notes. Therefore, in this paper, the authors created a more accurate description of a patient's condition by extracting risk factors from clinical notes to build predictive models to identify a patient's risk of wound infection in HHC.
AHRQ-funded; HS024915.
Citation: Song J, Woo K, Shang J .
Predictive risk models for wound infection-related hospitalization or ED visits in home health care using machine-learning algorithms.
Adv Skin Wound Care 2021 Aug;34(8):1-12. doi: 10.1097/01.Asw.0000755928.30524.22..
Keywords: Home Healthcare, Injuries and Wounds, Risk, Hospitalization
Rhee SM, Valle MF, Wilson LM
Negative pressure wound therapy technologies for chronic wound care in the home setting: a systematic review.
The researchers conducted a systematic review on the efficacy and safety of negative pressure wound therapy (NPWT) for the treatment of chronic wounds in the home setting. Data were limited by variability in the types of comparator groups, methodological limitations, and poor reporting of outcomes. The researchers were unable to draw conclusions about the efficacy or safety of NPWT for the treatment of chronic wounds in the home setting due to the insufficient evidence.
AHRQ-funded; 290201200007I.
Citation: Rhee SM, Valle MF, Wilson LM .
Negative pressure wound therapy technologies for chronic wound care in the home setting: a systematic review.
Wound Repair Regen 2015 Jul-Aug;23(4):506-17. doi: 10.1111/wrr.12295..
Keywords: Injuries and Wounds, Home Healthcare, Comparative Effectiveness, Treatments, Chronic Conditions
