Preparing medical students for the e-patient. Med Teach 2017;39:681-685. [PMID: 28532256 DOI: 10.1080/0142159x.2017.1324142]

Physician Perspectives on Internet-Informed Patients: Systematic Review

BACKGROUND

The internet has become a prevalent source of health information for patients. However, its accuracy and relevance are often questionable. While patients seek physicians' expertise in interpreting internet health information, physicians' perspectives on patients' information-seeking behavior are less explored.

OBJECTIVE

This review aims to understand physicians' perceptions of patients' internet health information-seeking behavior as well as their communication strategies and the challenges and needs they face with internet-informed patients.

METHODS

An initial search in PubMed, Scopus, CINAHL, Communication and Mass Media Complete, and PsycINFO was conducted to collect studies published from January 1990 to August 1, 2022. A subsequent search on December 24, 2023, targeted recent studies published after the initial search cutoff date. Two reviewers independently performed title, abstract, and full-text screening, adhering to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement guidelines. Thematic analysis was then used to identify key themes and systematically categorize evidence from both qualitative and quantitative studies under these themes.

RESULTS

A total of 22 qualifying articles were identified after the search and screening process. Physicians were found to hold diverse views on patients' internet searches, which can be viewed as a continuous spectrum of opinions ranging from positive to negative. While some physicians leaned distinctly toward either positive or negative perspectives, a significant number expressed more balanced views. These physicians recognized both the benefits, such as increased patient health knowledge and informed decision-making, and the potential harms, including misinformation and the triggering of negative emotions, such as patient anxiety or confusion, associated with patients' internet health information seeking. Two communicative strategies were identified: the participative and defensive approaches. While the former seeks to guide internet-informed patients to use internet information with physicians' expertise, the latter aims to discourage patients from using the internet to seek health information. Physicians' perceptions were linked to their strategies: those holding positive views tended to adopt a participative approach, while those with negative views favored a defensive strategy. Some physicians claimed to shift between the 2 approaches depending on their interaction with a certain patient. We also identified several challenges and needs of physicians in dealing with internet-informed patients, including the time pressure to address internet-informed patient demands, a lack of structured training, and being uninformed about trustworthy internet sites that can be recommended to internet-informed patients.

CONCLUSIONS

This review highlights the diverse perceptions that physicians hold toward internet-informed patients, as well as the interplay between their perceptions, communication strategies, and their interactions with individual patients. Incorporating elements into the medical teaching curriculum that introduce physicians to reliable internet health resources for patient guidance, coupled with providing updates on technological advancements, could be instrumental in equipping physicians to more effectively manage internet-informed patients.

TRIAL REGISTRATION

PROSPERO CRD42022356317; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=356317.

Perceptions of Hearing Health Care: A Qualitative Analysis of Satisfied and Dissatisfied Online Reviews

PURPOSE

The aim of this study was to examine the hearing health care experience of satisfied and dissatisfied consumers as reported on Google reviews.

METHOD

Using qualitative thematic analysis, open-text responses from Google regarding hearing health care clinics across 40 U.S. cities were examined. During the original search, 13,168 reviews were identified. Purposive sampling led to a total of 8,420 five-star reviews and 321 one-star reviews. The sample consisted of 500 five-star (satisfied) and 234 one-star (dissatisfied) reviews, describing experiences with audiology clinics, excluding reviews related to ear, nose, and throat services; other medical specialties; and those not relevant to hearing health care.

RESULTS

Satisfied and dissatisfied consumer reviews yielded nuanced dimensions of the hearing health care consumer experience, which were grouped into distinct domains, themes, and subthemes. Six and seven domains were identified from the satisfied and dissatisfied reviews, encompassing 23 and 26 themes, respectively. The overall experience domain revealed emotions ranging from contentment and gratitude to dissatisfaction and waning loyalty. The clinical outcomes domain highlights the pivotal contribution of well-being and hearing outcomes to the consumer experience, while the standard of care domain underscores shared expectations for punctuality, person-centered care, and efficient communication. Facility quality, professional competence, and inclusive care were also highlighted across positive and negative reviews.

CONCLUSIONS

Findings indicate dimensions of satisfied and dissatisfied hearing health care consumer experiences, identifying areas for potential service refinement. These consumer experiences inform person-centric service delivery in hearing health care.

Smartwatches in healthcare medicine: assistance and monitoring; a scoping review

Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.

"You become a slightly better doctor": Doctors adopting integrated medical expertise through interactions with E-patients

The accessibility of information via the internet has radically altered the doctor-patient relationship. By means of in-depth interviews with Israeli physicians from four different specialties, this study explored how physicians cope with internet-informed patients, referred to as e-patients, and examined how they make sense of their new professional roles. Findings show that three types of boundaries in the doctor-patient relationship have been blurred by the emergence of the e-patient: the boundaries between doctors' and patients' knowledge, between doctors' authority and patients' autonomy, and between positivistic knowledge and humanistic knowledge. Each of these is a boundary between liberal and non-liberal values. Only the combination of all these components produces, according to the participants, a good doctor. I call this new phenomenon integrated medical expertise and explain how it diverges from previous notions of 'good doctoring'.

Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study

Digital technologies in health care, including artificial intelligence (AI) and robotics, constantly increase. The aim of this study was to explore attitudes of 2020 medical students’ generation towards various aspects of eHealth technologies with the focus on AI using an exploratory sequential mixed-method analysis. Data from semi-structured interviews with 28 students from five medical faculties were used to construct an online survey send to about 80,000 medical students in Germany. Most students expressed positive attitudes towards digital applications in medicine. Students with a problem-based curriculum (PBC) in contrast to those with a science-based curriculum (SBC) and male undergraduate students think that AI solutions result in better diagnosis than those from physicians (p < 0.001). Male undergraduate students had the most positive view of AI (p < 0.002). Around 38% of the students felt ill-prepared and could not answer AI-related questions because digitization in medicine and AI are not a formal part of the medical curriculum. AI rating regarding the usefulness in diagnostics differed significantly between groups. Higher emphasis in medical curriculum of digital solutions in patient care is postulated.

Nursing students' emotional work and its consequences following encounters with e-patients who present reliable or unreliable information; a scenario based cross sectional survey

BACKGROUND

Hochschild's theory of emotional work explains how people evoke or suppress emotions in order to adhere to social norms. An encounter with an e-patient who presents potentially unreliable medical information from the internet can lead to caregivers undergoing emotional work. This may have a negative impact on caregivers, such as mental exhaustion or professional dissatisfaction.

OBJECTIVES

To examine nursing students' emotional work and its consequences following an encounter with e-patients who present new information from reliable or unreliable internet websites.

DESIGN

A cross sectional study.

SETTINGS

A large university in the center of Israel.

PARTICIPANTS

376 nursing students (230 Jewish, 146 Arab) of a 4-year BA program.

METHODS

The study was scenario based describing an e-patient that presents information from a reliable/unreliable website. The students were asked about the emotions the situation evokes in them based on the Emotional Work Questionnaire. In addition, the questionnaire examined the emotional work techniques (surface versus deep acting) and the impact of emotional work on the students.

RESULTS

Deep acting emotional work was the most used emotional work technique. Arab students performed more deep acting emotional work compared to Jewish students (F(1,360) = 12.57, p < 0.001). Deep acting emotion work mediated the relationship between ethnicity and the impact of emotion work ((LLCI (-0.1018), ULCI (-0.0199)).

CONCLUSIONS

The training of nursing students should allow and encourage students' legitimacy to feel and express various emotions, even when they are contrary to expectations. Sharing others' (students', clinical instructors') feelings that arise in clinical situations is an essential aspect of clinical training. This training may lead to effective emotional management in different situations and allow students to receive help and support that will enable them to develop good coping skills during their studies which will benefit them later in their professional career.

Prediction of Bladder Cancer Treatment Side Effects Using an Ontology-Based Reasoning for Enhanced Patient Health Safety

Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much information and proof as possible to help a computer program to predict bladder cancer treatment side effects and support the oncologist’s decision. This will help in deciding treatment options for patients with bladder malignancies. Bladder cancer knowledge is complex and requires simplification before any attempt to represent it in a formal or computerized manner. In this work we rely on the capabilities of OWL ontologies to seamlessly capture and conceptualize the required knowledge about this type of cancer and the underlying patient treatment process. Our ontology allows case-based reasoning to effectively predict treatment side effects for a given set of contextual information related to a specific medical case. The ontology is enriched with proofs and evidence collected from online biomedical research databases using “web crawlers”. We have exclusively designed the crawler algorithm to search for the required knowledge based on a set of specified keywords. Results from the study presented 80.3% of real reported bladder cancer treatment side-effects prediction and were close to really occurring adverse events recorded within the collected test samples when applying the approach. Evidence-based medicine combined with semantic knowledge-based models is prominent in generating predictions related to possible health concerns. The integration of a diversity of knowledge and evidence into one single integrated knowledge-base could dramatically enhance the process of predicting treatment risks and side effects applied to bladder cancer oncotherapy.

Interest in technology among medical students early in their clinical experience

BACKGROUND

The world is in the midst of the "digital" revolution characterized by the ascendency of computerization, information systems and artificial intelligence with an emphasis on innovation and creativity. This revolution has affected current medical practice and promises to significantly impact it in the future. This requires physician's understanding and participation in adopting such technology. This study aimed to explore the role technology plays in the future career plans of medical students.

METHODS

A questionnaire examining selection criteria for medical specialty choice, criteria for choosing a post-residency job and demographic data was completed by a convenience sample of 5th-year Israeli medical students.

RESULTS

Two-hundred forty-two students (51 % men) completed the questionnaire, an 84 % response rate. Only a third (35 %) rated the specialty selection criterion "provides mechanical/ technological challenges" as important, while only 7% considered as important that a specialty requires skills in computer science. Few students were interested in post-residency positions requiring much technological knowledge (25 %) and requiring much skill with computerized information systems (13 %). Male students were significantly more interested than females in such positions and these students more often reported that they were considering careers in surgery and its subspecialties. This surgical bent was confirmed by the 42 % of students interested in post-residency positions that include time in the operating room having more interest in positions requiring much technological knowledge than the students not interested in operating room time.

CONCLUSIONS

This preliminary study demonstrated that as a group the students' expressed relatively little interest in medical specialties and post-residency positions involving technological challenges and knowledge of information (computer) science. Yet, the sub-group interested in the surgical specialties had such interests. These findings were perplexing since the students belong to Generations Y and Z who are steeped in the use of smartphones and social media. Therefore, we failed to support our hypothesis that Generation Y and Z students would be attracted to specialties and positions that provide them with technological challenges. Furthermore, medical educators need to explore this apparent lack of interest in technology in order to insure that the future physician workforce is ready to face future "digital" challenges.

Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine

The rapid adoption and implementation of artificial intelligence in medicine creates an ontologically distinct situation from prior care models. There are both potential advantages and disadvantages with such technology in advancing the interests of patients, with resultant ontological and epistemic concerns for physicians and patients relating to the instatiation of AI as a dependent, semi- or fully-autonomous agent in the encounter. The concept of libertarian paternalism potentially exercised by AI (and those who control it) has created challenges to conventional assessments of patient and physician autonomy. The unclear legal relationship between AI and its users cannot be settled presently, an progress in AI and its implementation in patient care will necessitate an iterative discourse to preserve humanitarian concerns in future models of care. This paper proposes that physicians should neither uncritically accept nor unreasonably resist developments in AI but must actively engage and contribute to the discourse, since AI will affect their roles and the nature of their work. One's moral imaginative capacity must be engaged in the questions of beneficence, autonomy, and justice of AI and whether its integration in healthcare has the potential to augment or interfere with the ends of medical practice.

Leveraging social media for medical education: Learning from patients in online spaces

Social media has applications for teaching, learning, and patient involvement in medical education. It has the potential to eliminate hierarchies in educational interactions, thereby allowing patients to communicate, collaborate, and share information with learners. This commentary suggests that we should consider patients as experts who are available on social media platforms and can therefore play a role in medical education. Specifically, it highlights how patients can serve as teachers in social media-based medical education and how patients' narratives and experiences volunteered in online spaces can help cultivate patient-centred care practices. This article aims to explore how medical students, residents, and practicing physicians can learn from patients on social media and the implications of this learning on medical education more broadly.

Perceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey

BACKGROUND

Digital health technologies hold promise to enhance patient-related outcomes, to support health care staff by reducing their workload, and to improve the coordination of care. As key users of digital health technologies, health care workers are crucial to enable a meaningful digital transformation of health care. Digital health literacy and digital skills should become prerequisite competencies for health professionals to facilitate the implementation and leverage the potential of digital technologies to improve health.

OBJECTIVE

We aimed to assess European medical students' perceived knowledge and opinions toward digital health, the status of digital health implementation in medical education, and the students' most pressing needs.

METHODS

The explanatory design of our mixed methods study was based on an online, anonymous, self-administered survey targeted toward European medical students. A linear regression analysis was used to identify the influence of the year of medical studies on the responses. Additional analysis was performed by grouping the responses by the self-evaluated frequency of eHealth technology use. Written responses to four qualitative questions in the survey were analyzed using an inductive approach.

RESULTS

The survey received a total of 451 responses from 39 European countries, and there were respondents for every year of medical studies. The majority of respondents saw advantages in the use of digital health. While 40.6% (183/451) felt prepared to work in a digitized health care system, more than half (240/451, 53.2%) evaluated their eHealth skills as poor or very poor. Medical students considered lack of education to be the reason for this, with 84.9% (383/451) agreeing or strongly agreeing that more digital health education should be implemented in the medical curriculum. Students demanded introductory and specific eHealth courses covering data management, ethical aspects, legal frameworks, research and entrepreneurial opportunities, role in public health and health systems, communication skills, and practical training. The emphasis lay on tailoring learning to future job requirements and interprofessional education.

CONCLUSIONS

This study shows a lack of digital health-related formats in medical education and a perceived lack of digital health literacy among European medical students. Our findings indicate a gap between the willingness of medical students to take an active role by becoming key players in the digital transformation of health care and the education that they receive through their faculties.

Surgeons' Interactions With and Attitudes Toward E-Patients: Questionnaire Study in Germany and Oman

BACKGROUND

Doctors' interactions with and attitudes toward e-patients have an overall impact on health care delivery.

OBJECTIVE

This study aimed to gauge surgeons' interactions with e-patients, their attitudes toward those e-patient activities, the possible impact on the delivery of health care, and the reasons behind those activities and attitudes.

METHODS

We created a paper-based and electronic survey form based on pertinent variables identified in the literature, and from March 2018 to July 2018 we surveyed 49 surgeons in Germany and 59 surgeons in Oman, asking them about their interactions with and attitudes toward e-patients. Data were stored in Microsoft Excel and SPSS, and descriptive statistics, Pearson correlations, and chi-square tests were performed on the data.

RESULTS

Of our sample, 71% (35/49) of the German surgeons and 56% (33/59) of the Omani surgeons communicated electronically with their patients. Although the German surgeons spent a greater percentage of Internet usage time on work-related activities (χ²₁₈=32.5; P=.02) than the Omani surgeons, there were many similarities in their activities. An outstanding difference was that the German surgeons used email with their patients more than the Omani surgeons (χ²₁=9.0; P=.003), and the Omani surgeons used social media, specifically WhatsApp, more than the German surgeons (χ²₁=18.6; P<.001). Overall, the surgeons were equally positive about the most common e-patient activities such as bringing material from the internet to the consultation (mean 4.11, SD 1.6), although the German surgeons (mean 3.43, SD 1.9) were more concerned (P=.001) than the Omani surgeons (mean 2.32, SD 1.3) about the potential loss of control and time consumption (German: mean 5.10, SD 1.4 and Omani: mean 3.92, SD 1.6; P<.001).

CONCLUSIONS

The interactions show a high degree of engagement with e-patients. The differences between the German and the Omani surgeons in the preferred methods of communication are possibly closely linked to cultural differences and recent historical events. These differences may, moreover, indicate e-patients' desired method of electronic communication to include social media. The low impact of surgeons' attitudes on the activities may also result from a normalization of many e-patient activities, irrespective of the doctors' attitudes and influences.

"But Dr Google said…" - Training medical students how to communicate with E-patients

Purpose: Patients who have access to information online may feel empowered and also confront their physicians with more detailed questions. Medical students are not well-prepared for dealing with so-called "e-patients." We created a teaching module to deal with this, and evaluate its effectiveness.Method: Senior medical students had to manage encounters with standardized patients (SPE) in a cross-over design. They received blended-learning teaching on e-patients and a control intervention according to their randomization group (EI/LI = early/late intervention). Each SPE was rated by two blinded video raters, the SP and the student.Results: N = 46 students could be included. After the intervention, each group (EI, LI) significantly improved their competency in dealing with e-patients as judged by expert video raters (EI: M_T0 = 9.75 (2.51) versus M_T1 = 16.60 (2.80); LI: M_T0 = 8.70 (2.14) versus M_T2 = 15.20 (2.84); both p < 0.001) and SP (EI: M_T0 = 24.13 (4.83) versus M_T1 = 26.52 (3.06); LI: M_T0 = 23.37 (3.10) versus M_T2 = 27.47 (4.38); both p < 0.001). Students' rating showed a similar non-significant trend.Conclusions: Students, SP and expert video raters determined that blended-learning teaching can improve students' competencies when dealing with e-patients. Within the study period, this effect was lasting; however, further studies should look at long-term outcomes.

Cross-cultural adaptation of the Zero Mothers Die (ZMD App) in Brazil: contributing to digital health with the approach on care centred for e-pregnant woman

Abstract Objectives: to describe the adaptation process of the Zero Mothers Die app, developed in Europe, is to combat maternal mortality, was brought into the Brazilian context with an individualized auscultation methodology for pregnant women and mothers who attended a high complexity referred teaching hospital. Methods: the research consisted of two parts: the participant observation technique was used by health professionals to translate the platform; with an approach in the service with online forms for pregnant women, and the content analysis was performed by grounded theory of the data. During five months, 109 pregnant women and mothers installed the app, but only 17 completed the questionnaire. Results: the women and health professionals pointed out questions such as interactivity, application interface, content, pregnancy and childcare clinical management, which contributed for the Brazilian version. Conclusions: the participatory medicine and e-pregnant woman are new premises of a humanization policy for women and childcare. The insertion of an app with information based on the best evidence in the prenatal routine in the health establishments with teaching activities that can provide new dialogue connections with the pregnant women and chances to update the professional in training.

Artificial intelligence in medical education

Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale changes in many professions, including medical education. In order for medical educators to be properly prepared for AI, they will need to have at least a fundamental knowledge of AI in relation to learning and teaching, and the extent to which it will impact on medical education. This Guide begins by introducing the broad concepts of AI by using fairly well-known examples to illustrate AI's implications within the context of education. It then considers the impact of AI on medicine and the implications of this impact for educators trying to educate future doctors. Drawing on these strands, it then identifies AI's direct impact on the methodology and content of medical education, in an attempt to prepare medical educators for the changing demands and opportunities that are about to face them because of AI.