Effect of Ambient Voice Technology, Natural Language Processing, and Artificial Intelligence on the Patient-Physician Relationship.

BACKGROUND: The method of documentation during a clinical encounter may affect the patient-physician relationship. OBJECTIVES: Evaluate how the use of ambient voice recognition, coupled with natural language processing and artificial intelligence (DAX), affects the patient-physician relationship. METHODS: This was a prospective observational study with a primary aim of evaluating any difference in patient satisfaction on the Patient-Doctor Relationship Questionnaire-9 (PDRQ-9) scale between primary care encounters in which DAX was utilized for documentation as compared to another method. A single-arm open-label phase was also performed to query direct feedback from patients. RESULTS: A total of 288 patients were include in the open-label arm and 304 patients were included in the masked phase of the study comparing encounters with and without DAX use. In the open-label phase, patients strongly agreed that the provider was more focused on them, spent less time typing, and made the encounter feel more personable. In the masked phase of the study, no difference was seen in the total PDRQ-9 score between patients whose encounters used DAX (median: 45, interquartile range [IQR]: 8) and those who did not (median: 45 [IQR: 3.5]; p = 0.31). The adjusted odds ratio for DAX use was 0.8 (95% confidence interval: 0.48-1.34) for the patient reporting complete satisfaction on how well their clinician listened to them during their encounter. CONCLUSION: Patients strongly agreed with the use of ambient voice recognition, coupled with natural language processing and artificial intelligence (DAX) for documentation in primary care. However, no difference was detected in the patient-physician relationship on the PDRQ-9 scale.

Supportive-expressive group therapy for primary breast cancer patients: a randomized prospective multicenter trial.

OBJECTIVE: The aim is to evaluate the effectiveness of a manualized 12-week supportive-expressive group therapy program among primary breast cancer patients treated in community settings, to determine whether highly distressed patients were most likely to benefit and whether therapist's training or experience was related to outcome. METHOD: Three hundred and fifty-three women within one year of diagnosis with primary breast cancer were randomly assigned to receive supportive-expressive group therapy or to an education control condition. Participants were recruited from two academic centers and nine oncology practices, which were members of NCI's Community Clinical Oncology Program (CCOP) and were followed over 2 years. RESULTS: A 2x2x19 analysis of variance was conducted with main effects of treatment condition, cohort, and baseline distress and their interactions. There was no main effect for treatment condition after removing one subject with an extreme score. Highly distressed women did not derive a greater benefit from treatment. Therapist training and psychotherapy experience were not associated with a treatment effect. CONCLUSIONS: This study provides no evidence of reduction in distress as the result of a brief supportive-expressive intervention for women with primary breast cancer. Future studies might productively focus on women with higher initial levels of distress.