scholarly journals Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects

2016 ◽  
Vol 32 (1) ◽  
pp. 79-87 ◽  
Author(s):  
Gunnur Karakurt ◽  
Vishal Patel ◽  
Kathleen Whiting ◽  
Mehmet Koyutürk
Keyword(s):  
Domestic Violence ◽  
Electronic Health Records ◽  
Health Effects ◽  
Health Records ◽  
Adverse Health Effects ◽  
Adverse Health ◽  
Electronic Health

scholarly journals Interplay between traumatic brain injury and intimate partner violence: data driven analysis utilizing electronic health records

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Larry Y. Liu ◽  
William S. Bush ◽  
Mehmet Koyutürk ◽  
Günnur Karakurt
Keyword(s):  
Traumatic Brain Injury ◽  
Intimate Partner Violence ◽  
Brain Injury ◽  
Electronic Health Records ◽  
Health Effects ◽  
Partner Violence ◽  
Intimate Partner ◽  
Data Driven ◽  
Health Records ◽  
Electronic Health

Abstract Background It is estimated that a majority of intimate partner violence (IPV) victims suffer from blunt force to the head, neck and the face area. Injuries to head and neck are among the major causes for traumatic brain injury (TBI). Methods In this interdisciplinary study, we aimed to characterize the key associations between IPV and TBI by mining de-identified electronic health records data with more than 12 M records between 1999 to 2017 from the IBM Explorys platform. For this purpose, we formulated a data-driven analytical framework to identify significant health correlates among IPV, TBI and six control cohorts. Using this framework, we assessed the co-morbidity, shared prevalence, and synergy between pairs of conditions. Results Our findings suggested that health effects attributed to malnutrition, acquired thrombocytopenia, post-traumatic wound infection, local infection of wound, poisoning by cardiovascular drug, alcoholic cirrhosis, alcoholic fatty liver, and drug-induced cirrhosis were highly significant at the joint presence of IPV and TBI. Conclusion To develop a better understanding of how IPV is related to negative health effects, it is potentially useful to determine the interactions and relationships between symptom categories. Our results can potentially improve the accuracy and confidence of existing clinical screening techniques on determining IPV-induced TBI diagnoses.

Principles for Safe Implementation of ICD Codes for Human Trafficking

2021 ◽  
Vol 49 (2) ◽  
pp. 285-289 ◽  
Author(s):  
Jordan Greenbaum ◽  
Ashley Garrett ◽  
Katherine Chon ◽  
Matthew Bishop ◽  
Jordan Luke ◽  
...  
Keyword(s):  
Mental Health ◽  
Electronic Health Records ◽  
Human Trafficking ◽  
Health Consequences ◽  
Health Records ◽  
Adverse Health ◽  
Icd Codes ◽  
Electronic Health

AbstractHuman trafficking is associated with a variety of adverse health and mental health consequences, which should be accurately addressed and documented in electronic health records.

Electronic health records: Context matters!

2016 ◽  
Vol 34 (2) ◽  
pp. 163-165 ◽  
Author(s):  
William B. Ventres ◽  
Richard M. Frankel
Keyword(s):  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health
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