This article is part of our series on empathy.
Background
John Preece was the first British general practitioner to use a computer in the consulting room in 1970.1 Since then, technology in healthcare consultations has advanced tremendously. There has been continuous progression with computerisation of notes, results, imaging and much more. This has allowed information to be in a central place allowing for better preparation and understanding before, during and after the consultation.2 More recent technological advances include video consultation,3 smart phone applications and the use of artificially intelligent robot doctors.4 Due to recent progress in technology, it is unsurprising that many bold claims about its ability to improve healthcare consultations have been made. For example, Alemi et al.5 have suggested that humanoid robots can alleviate children’s stress and depression, while Crain6 reported that nurse robots can express empathy to patients. Can we believe these claims? In this instalment of the empathy series, we will focus on the relationship between technology and empathy, and examine whether technology may help or hinder empathic healthcare.
Examples of where technology has enhanced empathy in healthcare
The diagnostic process has been an obvious target for the development of automated and artificial intelligence systems.4 Over 100 trials have shown that ‘computer-aided diagnosis’ can outperform ‘expert’ diagnostic skills, which in turn may free up time for the vital human interactions and handholding that is sometimes needed to deliver diagnoses or treatment.7 It is also hypothesised that artificial intelligence systems may in turn reduce the growing administrative burden that arguably detracts clinicians from empathic consultation skills. Teleconsultations are another technology with significant potential. This has been demonstrated in a recent qualitative study of palliative care at home, using long-term direct observations and patient interview.8 Teleconsultations enabled multidisciplinary team approaches to be utilised to include specialists and primary care providers centred around 18 palliative care patients within their own homes. In this example, teleconsultations facilitated honest discussions in which distress or physical deterioration might otherwise not have been revealed during routine telephone check-ups. Further, the practicalities of enabling more frequent consultations meant that patient–clinician relationships deepened and patients were able to co-design their consultations. Despite clinician concerns about the lack of physical proximity which made them wary of being unable to provide comfort if they raised sensitive issues, patients actually expressed being more at ease to ‘pour out one’s heart’ and resume ‘normal life’ at home.
Another area where technology can help is in the teaching and training of empathy skills. This is exemplified by a neuroscience-informed curriculum that was developed for teaching empathic consultation skills to 99 trainee physicians.9,10 The course used various technologies, including video recordings of consultations using real-time physiological response monitoring. A randomised controlled trial of this intervention showed that the empathy training group had greater changes in patient-rated empathy scores than a control group who received standard communication training. Another medical school in the US examined how to support the teaching of professionalism to 249 medical students. This included the use of virtual classrooms using social networking and online learning technologies to overcome barriers posed by large class sizes and a dispersed student population, who were at various clinical attachments.11 The learning platform that was created allowed peer support in a safe environment to facilitate sharing of experiences around stressful clinical training situations and strategies for coping with these challenges. This was an uncontrolled study and compared empathy and self-reflection scores before and after the course. It showed a preservation of empathy (rather than its decline, which has previously been documented12) and improvement in self-reflection. Some of these studies provide proof of concept for using a range of technologies to help care providers learn and improve empathic communication.
Examples where technology has not enhanced empathy or has hindered it?
William Osler, the 19th-century physician frequently described as the Father of Modern Medicine, famously said ‘listen to your patient, he is telling you the diagnosis’.13 However, what if the care provider is distracted by technology or the technology itself is the ‘listener’? The great promises often made on technology’s behalf do not always translate to patient benefits, even when a goal of reducing administration to freeing up space for meaningful human interactions is its focus.
For example, a recent cross-sectional study in the US14 which timed various activities during more than 800 observed consultations showed that primary care physicians spent less time on face-to-face interactions with their patients than working on the electronic health record. Such findings would argue against technology acting to augment an empathic consultation by freeing up clinician time. Also, the promises of symptom data collection being used by some general practices in place of or before face-to-face consultations aim to improve efficiency but the data do not support that claim.15,16
Other areas where technology has been implemented without evidence of benefit relate to the large-scale implementation of a new paperless electronic record system at a cost of nearly £200 million in a large UK teaching hospital in 2015.17 Failings in the technology and its implementation lead to major disruption within the hospital with clinical teams unable to provide adequate patient discharge or follow-up information or gain timely access to updated patient clinical records. The result was a previously high achieving hospital being placed into special measures and not achieving referral and treatment targets. It has been reported that some of the failures were attributed to removal of vital interpersonal elements of everyday clinical and administrative interactions.
Similar concerns have been reported in primary care. Since the introduction of computerised systems into the UK primary care consulting room, a number of studies have reported a negative impact on the quality of doctor–patient communication. Video recordings of consultations suggest that the presence of technology can result in a particular preoccupation by the practitioner with the computational tasks, delayed responses to cues, slow utterances of empathic statements and delayed non-verbal cues (such as withholding gaze from patients).18 It has been hypothesised that this reduction in empathy relates to increased demands that technology may place on practitioners’ time which in turn could undermine their ability to simultaneously interact with their patients. Moreover, patients themselves may begin to adapt communication and behaviour adjusting to a computer-centric consultation.
Outside of the consulting room, enhanced technology has been proposed as key to improving access to practitioners through electronic appointment systems, email consultations and telemedicine. However, since 2012 the UK GP patient survey has shown a year-on-year increase in the number of patients dissatisfied with access to healthcare providers and quality of their consultation owing to the lack of personal, holistic and empathic care which some argue can only be achieved in person rather than through the mobile apps, emails or telephone consultations.19,20 Where technology has appeared to be of most benefit in this context is in providing the facility for consultations where there were none, such as in the multidisciplinary team video consultations for terminal care described above. However what the results of the annual UK GP patient survey might point towards is dissatisfaction when technology is used to replace what were valued face-to-face interactions. At a population level, technology might open up more consultation time but for the individual this might come at a loss of valued human relationships.
The ideal would be for technology in healthcare to promote empathic consultation by directly improving communication between care provider and patient and by reducing administrative burden and freeing up time for human interaction. Artificial intelligence systems in health are currently a hot topic with much funding going into such projects and the artificial intelligence health market is expected to reach $6.6bn by 2021.21 These systems have already been shown to help with diagnosis4 and currently act as health assistants.22 Extensive research is going on lately in the field of applying human features, emotions, gestures and reactions to digital technology.23,24 Could smart as well as emotional algorithms or robots appear in healthcare soon? How might these impact the doctor–patient relationship or the role of the human consultation?
The future with technology and artificial intelligence within the healthcare consultation raises the possibility of profound benefits but also the potential for significant harms, a few described above. The development of this area and the introduction of this technology should involve all stakeholders including: patients; carers; healthcare providers; managers; policy-makers; and technologists. These groups need guidelines for helping to identify evidence-based empathy-enhancing technologies so that the potential benefits can be realised.
Limitations of the evidence for the benefits or harms of technology and how to address them
Most of the evidence for the benefits and harms in this paper has come from individual small-scale studies rather than large randomised controlled trials or systematic reviews. This means that the claims made about technologies’ usefulness are somewhat limited by the quality of evidence. The rapid advances in technology, combined with the pressures to improve healthcare, mean that scientific evaluation of new technologies will need to keep up with the pace at which technologies are developing. Trial and error is common and implementation without adequate evaluation is more frequent. Patients are already accessing symptom checker algorithms online and e-doctors are currently available to mobile phone Apps 24 hours a day. Home diagnostic tests are additionally available to purchase online at any time. While embracing these technologies in healthcare, it is also necessary to ensure that the speed of doing so does not distract us from utilising well-honed evidence-based medicine principles to accurately determine whether technology truly does help or harm patients.
Conclusion
Empathy is important, the extent to which it is expressed varies, and its expression is becoming more difficult as time pressures increase. Technologies have the potential to enhance empathy. However, they are not ubiquitously beneficial, and the evidence used to evaluate them is generally inadequate. Technology’s future role in enhancing empathy is an exciting field that is yet to realise its full potential but it will require rigorous evaluation.
Declarations
Competing Interests
LP, JH, HDM: None declared. HT: provides consultancy for a medical technology company Medopad. This work is independent from that consultancy.
Funding
LP and HDM are Doctoral Research Fellows who are funded by the National Institute of Health Research. The views expressed are those of the author and not necessarily those of the NHS, NIHR or the Department of Health. However, this research received no specific grant from any funding agency in public, commercial or not-for-profit sectors.
Ethics approval
Not applicable
Guarantor
HDM
Contributorship
All authors were involved in the concept, development and literature review for the work. LP wrote the original draft and all authors participated in redrafting and have approved the final version of the article.
Acknowledgements
This article is part of our series on empathy. The authors would like to acknowledge and thank all participants of the Oxford Empathy Colloquium.
Provenance
Not commissioned; editorial review
References
- 1.Benson T. Why general practitioners use computers and hospital doctors do not – part 1: incentives. Br Med J 2002; 325: 1086–1089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Choe EK. Empathy in Health Technologies. See https://terpconnect.umd.edu/∼choe/download/WISH-10-Choe.pdf (last checked 12 July 2018).
- 3.Greenhalgh T, Vijayaraghavan S, Wherton J, Shaw S, Byrne E, Campbell-Richards D, et al. Virtual online consultations: advantages and limitations (VOCAL) study. BMJ Open 2016; 6: e009388. doi: 10.1136/bmjopen-2015-009388. [DOI] [PMC free article] [PubMed]
- 4.Miller DD, Brown EW. Artificial intelligence in medical practice: the question to the answer? Am J Med 2018; 131: 129–133. [DOI] [PubMed] [Google Scholar]
- 5.Alemi M, Ghanbarzadeh A, Meghdari A, Moghadam LJ. Clinical application of a humanoid robot in pediatric cancer interventions. Int J Soc Robot 2016; 8: 743–759. [Google Scholar]
- 6.Crain DR. Adults’ Perception of Empathy When Interacting With a Nursing Robot or a Physically Present Nurse: A Randomized Non-Inferiority Comparison. The University of Arizona, 2015. See https://repository.arizona.edu/bitstream/handle/10150/593624/azu_etd_14252_sip1_m.pdf. (last checked 12 July 2018).
- 7.Grove WM, Zald DH, Lebow BS, Snitz BE, Nelson C. Clinical versus mechanical prediction: a meta-analysis. Psychol Assess 2000; 12: 19–30. [PubMed] [Google Scholar]
- 8.van Gurp J, van Selm M, Vissers K, van Leeuwen E, Hasselaar J. How outpatient palliative care teleconsultation facilitates empathic patient-professional relationships: a qualitative study. PLOS ONE 2015; 10: e0124387–e0124387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Riess H, Kelley JM, Bailey R, Konowitz PM, Gray ST. Improving empathy and relational skills in otolaryngology residents: a pilot study. Otolaryngol Head Neck Surg 2011; 144: 120–122. [DOI] [PubMed] [Google Scholar]
- 10.Riess H, Kelley JM, Bailey RW, Dunn EJ, Phillips M. Empathy training for resident physicians: a randomized controlled trial of a neuroscience-informed curriculum. J Gen Intern Med 2012; 27: 1280–1286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Duke P, Grosseman S, Novack DH, Rosenzweig S. Preserving third year medical students’ empathy and enhancing self-reflection using small group “virtual hangout” technology. Med Teach 2015; 37: 566–571. [DOI] [PubMed] [Google Scholar]
- 12.Neumann M, Edelhauser F, Tauschel D, Fischer MR, Wirtz M, Woopen C, et al. Empathy decline and its reasons: a systematic review of studies with medical students and residents. Acad Med 2011; 86: 996–1009. [DOI] [PubMed] [Google Scholar]
- 13.Sturdy S. William Osler: a life in medicine, Michael Bliss. Br Med J 2000; 321: 1087–1087. [Google Scholar]
- 14.Young RA, Burge SK, Kumar KA, Wilson JM, Ortiz DF. A time-motion study of primary care physicians’ work in the electronic health record era. Fam Med 2018; 50: 91–99. [DOI] [PubMed] [Google Scholar]
- 15.Edwards HB, Marques E, Hollingworth W, Horwood J, Farr M, Bernard E, et al. Use of a primary care online consultation system, by whom, when and why: evaluation of a pilot observational study in 36 general practices in South West England. BMJ Open 2017; 7: e016901–e016901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Edwards HB, Marques E, Hollingworth W, Horwood J, Farr M, Bernard E, et al. Use of an electronic consultation system in primary care: a qualitative interview study. Br J Gen Pract 2018; 68: e1–e8. [DOI] [PMC free article] [PubMed]
- 17.Care Quality Commission. Addenbrooke’s and the Rosie Hospitals Quality Report 2015. See https://www.cqc.org.uk/sites/default/files/new_reports/AAAD0111.pdf (last checked 12 July 2018).
- 18.Greatbatch D, Heath C, Campion P, Luff P. How do desk-top computers affect the doctor-patient interaction. Fam Pract 1995; 12: 32–36. [DOI] [PubMed] [Google Scholar]
- 19.NHS England. GP Patient Survey 2017. See https://www.england.nhs.uk/statistics/2017/07/06/gp-patient-survey-2017/ (last checked 12 July 2018).
- 20.The King’s Fund. Public Satisfaction with GP Services Drops to Lowest Level in 35 Years. See https://www.kingsfund.org.uk/blog/2018/02/public-satisfaction-gp-services (last checked 12 July 2018).
- 21.Tempest M. Believe in Unicorns. Indepth. See https://www.candesic.com/media/articles/LBOct17.pdf: LaingBuisson.com (2017, last checked 12 July 2018).
- 22.Ackerman ML, Virani T, Billings B. Digital mental health – innovations in consumer driven care. Nurs Leadersh 2017; 30: 63–72. [DOI] [PubMed] [Google Scholar]
- 23.Mamoshina P, Ojomoko L, Yanovich Y, Ostrovski A, Botezatu A, Prikhodko P, et al. Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 2018; 9: 5665–5690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Medical Futurist. Should Algorithms and Robots Mimic Empathy. See http://medicalfuturist.com/algorithms-robots-mimic-empathy/2018 (last checked 12 July 2018).