Reconciling technology and humanistic care: Lessons from the next generation of physicians

Simpkin, Arabella L; Dinardo, Perry B.; Pine, Elizabeth; Gaufberg, Elizabeth

doi:10.1080/0142159x.2017.1270434

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…Their pessimism about AI’s replacement of human doctors was mainly due to the immaturity of AI technology and AI’s inability to express empathy and compassion. These findings correspond with those from previous studies that showed that the role of humanistic care in medical health has become increasingly prominent [ 40 ]. It is also worth noting that the public’s attitudes on whether AI will replace human doctors may also affect medical enrollment and talent supply.…”

Section: Discussionsupporting

confidence: 92%

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Gao¹,

He²,

Chen³

et al. 2020

J Med Internet Res

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Background High-quality medical resources are in high demand worldwide, and the application of artificial intelligence (AI) in medical care may help alleviate the crisis related to this shortage. The development of the medical AI industry depends to a certain extent on whether industry experts have a comprehensive understanding of the public’s views on medical AI. Currently, the opinions of the general public on this matter remain unclear. Objective The purpose of this study is to explore the public perception of AI in medical care through a content analysis of social media data, including specific topics that the public is concerned about; public attitudes toward AI in medical care and the reasons for them; and public opinion on whether AI can replace human doctors. Methods Through an application programming interface, we collected a data set from the Sina Weibo platform comprising more than 16 million users throughout China by crawling all public posts from January to December 2017. Based on this data set, we identified 2315 posts related to AI in medical care and classified them through content analysis. Results Among the 2315 identified posts, we found three types of AI topics discussed on the platform: (1) technology and application (n=987, 42.63%), (2) industry development (n=706, 30.50%), and (3) impact on society (n=622, 26.87%). Out of 956 posts where public attitudes were expressed, 59.4% (n=568), 34.4% (n=329), and 6.2% (n=59) of the posts expressed positive, neutral, and negative attitudes, respectively. The immaturity of AI technology (27/59, 46%) and a distrust of related companies (n=15, 25%) were the two main reasons for the negative attitudes. Across 200 posts that mentioned public attitudes toward replacing human doctors with AI, 47.5% (n=95) and 32.5% (n=65) of the posts expressed that AI would completely or partially replace human doctors, respectively. In comparison, 20.0% (n=40) of the posts expressed that AI would not replace human doctors. Conclusions Our findings indicate that people are most concerned about AI technology and applications. Generally, the majority of people held positive attitudes and believed that AI doctors would completely or partially replace human ones. Compared with previous studies on medical doctors, the general public has a more positive attitude toward medical AI. Lack of trust in AI and the absence of the humanistic care factor are essential reasons why some people still have a negative attitude toward medical AI. We suggest that practitioners may need to pay more attention to promoting the credibility of technology companies and meeting patients’ emotional needs instead of focusing merely on technical issues.

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Section: Discussionsupporting

confidence: 92%

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Gao¹,

He²,

Chen³

et al. 2020

J Med Internet Res

View full text Add to dashboard Cite

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“…Healthcare is not immune to it. Recently, technology is integrated into medical surveillance, diagnosis, treatment, and patient comfort 2 . Therefore, it is not surprising that the 21st century has brought challenges to medical professionals 3 .…”

Section: Introductionmentioning

confidence: 99%

Message applications in the doctor-patient relationship as a stressor

Veiga

Felizi

Trevisan

et al. 2022

Rev. Assoc. Med. Bras.

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OBJECTIVE:The aim of this study was to assess the use of smartphones' messaging apps as a stressor affecting the well-being of gynecologists who use this tool to communicate with patients. METHODS: A cross-sectional study was conducted with gynecologists who use message applications to communicate with patients. Participants answered the WhatsApp Stress Scale, Oldenburg Burnout Inventory, and the techno-stress questionnaire. The population sample consisted of gynecologists and obstetricians selected by convenience. RESULTS: Physicians who spent more time using WhatsApp to communicate with patients had higher levels of stress (p=0.010), Burnout (p<0.001), and techno-invasion score (p<0.05). CONCLUSIONS: A positive association was found between the high frequency of WhatsApp usage for communication with patients and doctor's Burnout and stress, negatively influencing professional's well-being.

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“…The stethoscope is a valuable extension of doctors, although it is also widely viewed as creating distance with patients. 11 The blind pursuit of financial profits at a systems-level has eroded patient-physician trust in China and medical disputes sometimes ignite a vicious cycle leading to violence. 12 Violence in the medical workplace involves insults, threats, and attacks on medical staff.…”

Section: Introductionmentioning

confidence: 99%

“…15 Simpkin et al pointed out that the relationship between technology and humanistic care should be coordinated. 11 Humanistic care is constantly being discussed and can be fostered by cultivating an open dialogue among patients, families, and health care staff. 16 However, it is mostly used by nursing students and nurses to evaluate their skill level of patient care, [17][18][19][20] but its implementation in general medicine is pending.…”

Section: Introductionmentioning

confidence: 99%

Design and Initial Validation of a Humanistic Care Evaluation Tool

Wang¹,

Hu²,

Tao³

et al. 2021

JMDH

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Objective This study aimed at developing and validating a humanistic care tool in Anhui province that could be used across Chinese public hospitals, and to reflect the humanistic care from patients’ perspective. Participants A cross-sectional survey was conducted in three public hospitals of Anhui Province, China by adopting simple random sampling, which included 312 outpatients and 323 inpatients. Methods The dimensions of the tool were set according to “Further Improve Medical Service Action Plan” in China and Patient-Doctor Relationship Questionnaire. Cronbach’s alpha values were calculated and used to evaluate the reliability of this tool. Construct validity was tested by the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The associations between characteristics and humanistic care were analyzed by binary logistic regression. Results These initial findings showed that about two-thirds of the respondents experienced humanistic care. Both the reliability and construct validity of the humanistic care evaluation tool were suitable Social aspects (location and yearly income), treatment style and having a regular doctor were significantly associated with better humanistic care (all P <0.05). Conclusion The humanistic care tool can directly reflect the humanistic care from patients’ perspective, and can be popularized and applied across Chinese public hospitals. These findings have important implications to further improve medical service in Chinese public hospitals.

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Reconciling technology and humanistic care: Lessons from the next generation of physicians

Cited by 9 publications

References 21 publications

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Message applications in the doctor-patient relationship as a stressor

Design and Initial Validation of a Humanistic Care Evaluation Tool

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