Physicians differ in their perceptions of sensitive medical records: Survey and interview study

• Published in: Health informatics journal 2023-07, Vol.29 (3), p.14604582231193519-14604582231193519
• Main Authors: Banerjee, Ipsha, Syed, Kazi, Potturu, Aishwarya, Pragada, Venkata SVS, Sharma, Rishika S, Murcko, Anita, Chern, Darwyn, Todd, Michael, Aking, Padma, Al-Yaqoobi, Ali, Bayless, Patricia, Belmonte, Winona, Cuadra, Teresa, Dockins, Trudy, Eldredge, Christina, El-Kareh, Robert, Gale, Gregory, Gentile, Edward, Kalpas, Edward, Morris, Meghan, Mueller, Laurel, Piekut, Dorothy, Ross, Mindy K, Sarris, John, Singh, Gagandeep, Tharani, Shalini, Wallace, Mark, Grando, Maria Adela
• Format: Article
• Language: English
• Subjects: Electronic health records; Interviews; Medical records; Mental depression; Mental health; Physicians; Psychiatrists
• ISSN: 1460-4582; 1741-2811
• DOI: 10.1177/14604582231193519

Physician categorizations of electronic health record (EHR) data (e.g., depression) into sensitive data categories (e.g., Mental Health) and their perspectives on the adequacy of the categories to classify medical record data were assessed. One thousand data items from patient EHR were classified by 20 physicians (10 psychiatrists paired with ten non-psychiatrist physicians) into data categories via a survey. Cluster-adjusted chi square tests and mixed models were used for analysis. 10 items were selected per each physician pair (100 items in total) for discussion during 20 follow-up interviews. Interviews were thematically analyzed. Survey item categorization yielded 500 (50.0%) agreements, 175 (17.5%) disagreements, 325 (32.5%) partial agreements. Categorization disagreements were associated with physician specialty and implied patient history. Non-psychiatrists selected significantly (p = .016) more data categories than psychiatrists when classifying data items. The endorsement of Mental Health and Substance Use categories were significantly (p = .001) related for both provider types. During thematic analysis, Encounter Diagnosis (100%), Problems (95%), Health Concerns (90%), and Medications (85%) were discussed the most when deciding the sensitivity of medical information. Most (90.0%) interview participants suggested adding additional data categories. Study findings may guide the evolution of digital patient-controlled granular data sharing technology and processes.