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Biosensors and Bioelectronics 2021
2021-10-22 - 2021-10-23    
All Day
Biosensors and Bioelectronics 2021 conference explores new advances and recent updated technologies. It is your high eminence that you enhance your research work in this [...]
Petrochemistry and Chemical Engineering
2021-10-25 - 2021-10-26    
All Day
Petro chemistry 2021 directs towards addressing main issues as well as future strategies of global energy industry. This is going to be the largest and [...]
Cardiac Surgery and Medical Devices
2021-10-30 - 2021-10-31    
All Day
The main focus and theme of the conference is “Reconnoitring Challenges Concerning Prediction & Prevention of Heart Diseases”. CARDIAC SURGERY 2020 strives to bring renowned [...]
Events on 2021-10-22
Events on 2021-10-25
Events on 2021-10-30
Articles Press Releases

Recent Research Discovers Racial Bias in Doctors’ Wording in Medical Records

Significant differences were discovered in the terminology used by medical staff to document patient encounters, according to a groundbreaking study. These findings may affect the standard of treatment that underrepresented populations receive.

Under the heading “Examining Linguistic Differences in Electronic Health Records for Diverse Patients with Diabetes: Natural Language Processing Analysis,” 281 physicians in a large metropolitan area treated Black, White, and Hispanic or Latino patients, whose electronic health records (EHRs) were examined. The results demonstrate how racial and ethnic prejudices can creep into even the most private and mundane areas of medical care.

The goal of the study, directed by Rice University’s Eden King, the Lynette S. Autrey professor of psychological sciences, was to find out if physicians describe their patients in post-visit reports in a way that is prejudiced.

According to King, language and communication are essential to social relationships in all contexts, including the crucial conversations that take place between patients and therapists. The results of our study, which aimed to determine if language doctors use in medical records indicate biases, are alarming.

Sentiment Analysis and Social Cognition Engine (SEANCE), an advanced natural language processing tool, was utilized in the study to analyze several linguistic markers in the EHR text. The data showed that terms linked with fear and disgust, such “intimidate,” “attack,” and “cringe,” as well as much more negative adjectives, like “unkind,” “negative,” and “stupid,” were found in the medical notes of Black and Hispanic or Latino patients. Notes for white, non-Hispanic patients, on the other hand, used more positive wording, with verbs denoting trust (such “affirm” and “advise”) and adjectives like “kind” and “supportive.”

According to a news release from King, “These results are consistent with an increasing corpus of research showing that racial and ethnic minorities frequently receive inferior care, characterized by less empathy, reduced rapport, and diminished patient trust.”