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Review Article

M Vijayarani,1 G Balamurugan2

  1.  Assistant Professor, ESIC College of Nursing, Indira Nagar, Bangalore, Karnataka State, India.
  2. Registrar (Administration), HoD – Dept of Mental Health Nursing,Ramaiah Institute of NursingEducation and Research, MSRIT Post, Bangalore,Karnataka State, India.

Author for correspondence

Bindumathi.M.M

Associate Professor, HOD,

Department of Medical Surgical Nursing, Rajiv Gandhi College Of Nursing,

I.I.T. Compus, opp, Meenakshi temple, National Park Road,Banglore-560076

Mob No-8050973475

E-mail:bindumathi143@gmail.com 

Year: 2019, Volume: 9, Issue: 1, Page no. 5-10, DOI: 10.26715/rjns.9_1_3
Views: 2464, Downloads: 107
Licensing Information:
CC BY NC 4.0 ICON
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0.
Abstract

In India, the prevalence of the non-communicable disease is in increasing over the year, at the same time the healthcare professionals’ shortage also in the rising trend. Smart technologies such as Artificial Intelligence (AI) play an important role in filling this Healthcare delivery gap. In this paper let us know about how the Chatbot is one such technology used in healthcare delivery. Interestingly, Chatbots are initially used mainly to deliver the mental health services such as psychotherapy, later is used in other industries also. The reviews show that Chatbots are widely used to provide health information related to breast cancer, obesity, ureteroscopy and to manage anxiety, depression, stress and also to provide psychoeducation. However, it has its own limitation such as, it cannot think like a human with wisdom and empathy; and also the confidentiality of the data is very much serious concern. At the same time, these Chatbots will become an integral part of our lives in the coming years. And we need Chatbots that match our culture. In order, to benefit from this technological advancement, we should have a regulatory and assessment process in place. 

<p>In India, the prevalence of the non-communicable disease is in increasing over the year, at the same time the healthcare professionals&rsquo; shortage also in the rising trend. Smart technologies such as Artificial Intelligence (AI) play an important role in filling this Healthcare delivery gap. In this paper let us know about how the Chatbot is one such technology used in healthcare delivery. Interestingly, Chatbots are initially used mainly to deliver the mental health services such as psychotherapy, later is used in other industries also. The reviews show that Chatbots are widely used to provide health information related to breast cancer, obesity, ureteroscopy and to manage anxiety, depression, stress and also to provide psychoeducation. However, it has its own limitation such as, it cannot think like a human with wisdom and empathy; and also the confidentiality of the data is very much serious concern. At the same time, these Chatbots will become an integral part of our lives in the coming years. And we need Chatbots that match our culture. In order, to benefit from this technological advancement, we should have a regulatory and assessment process in place.&nbsp;</p>
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INTRODUCTION

Over the years in India, the life expectancy has increased and health status has enhanced to a great magnitude. In recent years India has made ground-breaking progress in reducing the Maternal Mortality Ratio (MMR), Infant Mortality Rate (IMR) and other health indicators. However, the non-communicable diseases take over the communicable diseases in the total disease burden of the country.1

Health infrastructure and manpower shortage are one of the challenges in delivering equitable healthcare to every citizen of the country.2 Smart technologies such as Artificial Intelligence (AI) play an important role indelivering health care.3 The Chatbot is one such technology widely used in many industries including healthcare. Let us discuss how Chatbots can be used in healthcare. 

What is Chatbot?

“Turing test is a test proposed (1950) by the English mathematician Alan M. Turing to determine whether a computer can think”30 

“A Chatbot is a computer program uses AI that simulates human conversation through voice commands or text chats or both”. There are a variety of Chatbot synonyms, including "talkbot," "bot," "IM bot," "interactive agent" or "artificial conversation entity”, "conversational agents”, “machine conversation systems”, “dialogue systems”, “digital assistants” and “virtual agents”.4

History of Chatbot Interestingly the first-ever Chatbot was developed in the field of Mental Health care. Joseph Weizenbaum, a Massachusetts Institute of Technology (MIT) computer scientist, created 'Eliza' in the year 1966, the first conversational computer program (Chatbot). It was designed to use neural language processing to imitate Rogerian Psychiatrists speech patterns in psychotherapy.5

In the year 1972, the second Chatbot i.e. “Parry” was created at Stanford University. This Chatbot was called an attitude-based version of Eliza. In contrast to Eliza, psychiatrists during a Turing test were able to distinguish just 48 percent of responses from a human and a parry.6

In the year 1988, “Jabberwacky”was introduced as the first Chatbot to simulate human voice. This Chatbot was created with the aim of allowing the Chatbot to pass the Turing test.7 Following Jabberwacky's footsteps, another Chatbot was developed in 1992 called "Dr Sbaitso." The Chatbot had a User Interface (UI) were Dr Sbaitso simulated the responses of a psychologist. And the first Chatbots for MS-DOS-based personal computers.8

In the year 1995, Richard Wallace creased the most famous Chatbot of 20th century - ALICE (Artificial Linguistic Internet Computer Entity). This Chatbot was also influenced by Eliza, but it was able to chat with people more effectively with its heuristic features. ALICE's sole purpose was to advance technology to new grounds, not to serve a customer.9

Later ALICE was an inspiration for various Chatbots includes Apple’s Siri, Google Now, Microsoft’s Cortana, Facebook Messenger, Amazon’s Alexa, Telegram and many more. Even thoughJoseph Weizenbauminvented Chatbot to deliver health care, now Chatbots are being used to support and scale business teams in their relations with customers in various industries. 

Application of Chatbots in Mental Health care

Bibault JE et. Al. identified that Chatbots can help the patients with breast cancer, to get advice for minor health concerns, so that they can reduce the hospital visit. Hence, the physicians can devote more time in treating patients who are most in need of a consultation.10

Greer S et al. identified that ‘Vivibot Chatbots’ are helpful in reducing the anxiety of the young adults treated for cancer at USA.11

Jungmann et al. found that the ‘Chatbot (Ada)’ can be helpful in diagnosis of Mental Disorders at Germany.12

Abd-Alrazaq AA et al. reviewed 1039 citations and identified that Chatbots are widely used for therapy, training, screening and focused on depression and autism.13

Perski O et al. identified that the smoking cessation app users’ engagement was more than doubled and also improved self reported termination of smoking by adding a supportive Chatbot to a common smoking cessation app.14 

Schmidlen T et al. found that Chatbots are used effectively to obtain consent for genetic counselling, and also such technology may be used to manage the other genetic counselling tasks.15

ChetlenA et. al. identified that the women who are undergoing breast biopsy felt that the Chatbots are very useful in providing health care information and understanding the procedure.16

Piau A et al. found that the remote phone monitoring Chatbots can be effectively used to monitor the chemotherapy of older adults with cancer.17 

Stephens et al. identified that pediatric obesity and prediabetes treatment support can be provided with through Chatbot in a pediatric setting, which can be further used for a larger group of patients.18

Chaix B et al. used Chatbots to empower the patients with breast cancer and their relatives with personalised information through text. They identified that the adherence rate is much higher among the patients, who uses Chatbots than who did not.19

Goldenthal SB et al used Chatbots to deliver the information to patient post-ureteroscopy and identified that Chatbots was a convenient method to address common concerns post-ureteroscopy.20

Park S et al. found that the participants had a chance for self-reflection with use of Chatbot (Bonobot) which facilitated the conversation for stress management.21

Vaidyam AN et al. did a review of Chatbots in mental healthcare and identified that Chatbots are very useful in psychoeducation and self-adherence, and the users were very much satisfied with it.22

iDecidechatbot: is a Chatbot that provides information about prostate cancer to patients (prevalence, risk factors, management options and their side effects).23

Woebotis a Web-based Cognitive-Behavioural Therapeutic (CBT) Chatbot that found to reduce the symptoms of depression24 and track the mood changes.25 It also provides programs of psychoeducation for coping with stress.24

Chatfuel: is a Chatbot work through Empathy perception.23

Shim Chatbot is used to deliver strategies in positive psychology to increase happiness and decrease negative symptoms.23

FitTrack: To track the physical activityworking alliance inventory questionnaire is used to calculate the physical activity score.

Qdoc powered by Artificial intelligence technology that simulates a doctor i.e. asks clever questions, comprehends test reports and recommends further examinations.25

WysaChatbot is a mental health assistant application which escalates the saviour cases for a human assistant based on the need.25 

Advantages

  •  Accessible Anytime: Chatbots are digital robots that never get tired and keep running. Throughout the year, they will continue to operate every day without having to take a break. 
  • Flexible attribute: Chatbots have the benefit that it can quite easily be used in any industry. 
  • Communication with the user is easy. 
  • Reduces human effort for reading files 
  • Easy for maintenance26 
  • Anonymity, privacy and security could be maintained with a privacy-enhancing approach.25 
  • Chatbots are designed to be non-judgmental and therefore more compassionate towards patient worries. This could reassureindividuals to unhesitatingly unwrap.25

Limitations: Powell J argues that health care services require wisdom and empathic relationship with the patient than only AI. Therefore, AI needs to be supplemented instead of replaced by healthspecialists and recognizingan appropriate place for AI in healthcare is a major challenge for the future.27

Many doctors in the U.S. said that Chatbots could not efficaciously take care of all the needs of patients, show human emotions, and be responsible forcomprehensive diagnosis and management. Several clinicians also said that Chatbots for health care might pose a risk to patients if they diagnose themselves too often and fail to understand the diagnoses correctly.28 

The primary concern is confidentiality. Other concerns include universality of application, lack of standardization and monitoring, overdependence on the Chatbots, and lack of serious mental disorders.29

Conclusion

These Chatbots will become an integral part of our lives in the coming years. These Chatbots will be able to analyse information, make their own decisions and provide suggestions. The notion of auto-decision of Chatbots can scare many people. But we believe this will enable people to solve their issues/problems effectively and efficiently. And we need Chatbots that match our culture. In order, to benefit from this technological advancement, we should have a regulatory and assessment process in place.

The sky is the limit, what the use of these artificially intelligent Chatbots will be or can be done.

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References
  1.  National Health Profile (NHP) of India- 2019 [Internet]. New Delhi; 2019 [cited 2019 Dec 2]. Available from: https://www.cbhidghs.nic. in/showfile.php?lid=1147 
  2. Rathod S, Pinninti N, Irfan M, Gorczynski P, Rathod P, Gega L, et al. Mental Health Service Provision in Low- and MiddleIncome Countries. Heal Serv Insights. 2017 Jan;10:117863291769435. 
  3. Chung Y, Bagheri N, Salinas-Perez JA, Smurthwaite K, Walsh E, Furst MA, et al. Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review. Vol. 50, International Journal of Information Management. Elsevier Ltd; 2020. p. 17–27. 
  4. Bangkok Post. The chatbot will advise you now. Bangkok Post. 2017;1–11. 
  5. Donath J. The imperfect observer: Mind, machines and materialism in the 21 st century [Internet]. Massachusetts; 2007 [cited 2019 Nov 23]. Available from: https://smg.media.mit. edu/papers/Donath/TheImperfectObserver. pdf 
  6. Jurafsky D. Conversational Agents [Internet]. Sanford; 2015 [cited 2019 Nov 23]. Available from: https://web.stanford.edu/class/cs124/ lec/chatbot.pdf 
  7. Abdul-Kader SA, Woods J. Survey on Chatbot Design Techniques in Speech Conversation Systems [Internet]. Vol. 6, IJACSA) International Journal of Advanced Computer Science and Applications. 2015 [cited 2019 Nov 23]. Available from: www.ijacsa.thesai.org 
  8. Jorin V, Zhang G, Busch C. Chatbots: Development and Applications [Internet]. Berlin; 2017 [cited 2019 Nov 23]. Available from: https://jorin.me/chatbots.pdf 
  9. Abushawar1 B, Atwell2 E. ALICE Chatbot: Trials and Outputs. Comput y Sist [Internet]. 2015 [cited 2019 Nov 23];19(4):625–32. Available from: https://pdfs.semanticscholar.org/6cd1/ 153c8da1d4694fe9d5b5d3bb283bc9e999ca.pdf 
  10. Bibault J-E, Chaix B, Guillemassé A, Cousin S, Escande A, Perrin M, et al. A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial. J Med Internet Res [Internet]. 2019 Nov 27 [cited 2019 Dec 2];21(11):e15787. Available from: http://www. jmir.org/2019/11/e15787/ 
  11. Greer S, Ramo D, Chang Y-J, Fu M, Moskowitz J, Haritatos J. Use of the Chatbot “Vivibot” to Deliver Positive Psychology Skills and Promote Well-Being Among Young People After Cancer Treatment: Randomized Controlled Feasibility Trial. JMIR mHealth uHealth [Internet]. 2019 Oct 31 [cited 2019 Nov 23];7(10):e15018. Available from: http://www.ncbi.nlm.nih. gov/pubmed/31674920 
  12. Jungmann SM, Klan T, Kuhn S, Jungmann F. Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users. JMIR Form Res [Internet]. 2019 Oct 29 [cited 2019 Nov 23];3(4):e13863. Available from: http://www. ncbi.nlm.nih.gov/pubmed/31663858 
  13. Abd-alrazaq AA, Alajlani M, Alalwan AA, Bewick BM, Gardner P, Househ M. An overview of the features of chatbots in mental health: A scoping review. Int J Med Inform [Internet]. 2019 Dec 1 [cited 2019 Nov 23];132:1– 7. Available from: https://www.clinicalkey. com/service/content/pdf/watermarked/1- s2.0-S1386505619307166.pdf?locale=en_ US&searchIndex= 
  14. Perski O, Crane D, Beard E, Brown J. Does the addition of a supportive chatbot promote user engagement with a smoking cessation app? An experimental study. Digit Heal [Internet]. 2019 [cited 2019 Nov 23];5:1–13. Available from: https://www.ncbi.nlm.nih.gov/ pubmed/31620306 
  15. Schmidlen T, Schwartz M, DiLoreto K, Kirchner HL, Sturm AC. Patient assessment of chatbots for the scalable delivery of genetic counseling. J Genet Couns. 2019; 
  16. Chetlen A, Artrip R, Drury B, Arbaiza A, Moore M. Novel Use of Chatbot Technology to Educate Patients Before Breast Biopsy. J Am Coll Radiol [Internet]. 2019 [cited 2019 Dec 2];19(9):1305–8. Available from: https://www. clinicalkey.com/#!/content/playContent/1- s2.0-S1546144019307021?returnurl=https:%2F %2Flinkinghub.elsevier.com%2Fretrieve%2Fp ii%2FS1546144019307021%3Fshowall%3Dtru e&referrer=https:%2F%2Fwww.ncbi.nlm.nih. gov%2F 
  17. Piau A, Crissey R, Brechemier D, Balardy L, Nourhashemi F. A smartphone Chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform [Internet]. 2019 Aug 1 [cited 2019 Dec 2];128:18– 23. Available from: https://www.ncbi.nlm. nih.gov/pubmed/31160007 
  18. Stephens TN, Joerin A, Rauws M, Werk LN. Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot. Transl Behav Med. 2019 May 16;9(3):440–7. 
  19. Chaix B, Bibault JE, Pienkowski A, Delamon G, Guillemassé A, Nectoux P, et al. When chatbots meet patients: One-year prospective study of conversations between patients with breast cancer and a chatbot. J Med Internet Res [Internet]. 2019 May 1 [cited 2019 Dec 2];21(5):e12856. Available from: https://www. ncbi.nlm.nih.gov/pubmed/31045505 
  20. Goldenthal SB, Portney D, Steppe E, Ghani K, Ellimoottil C. Assessing the feasibility of a chatbot after ureteroscopy. mHealth. 2019 Mar;5(8):8–8. 
  21. Park S, Choi J, Lee S, Oh C, Kim C, La S, et al. Designing a chatbot for a brief motivational interview on stress management: Qualitative case study. J Med Internet Res [Internet]. 2019 Apr 1 [cited 2019 Nov 28];21(4):e12231. Available from: https://www.ncbi.nlm.nih. gov/pubmed/30990463 
  22. Vaidyam AN, Wisniewski H, Halamka JD, Kashavan MS, Torous JB. Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape [Internet]. Vol. 64, Canadian Journal of Psychiatry. SAGE Publications Inc.; 2019 [cited 2019 Nov 28]. p. 456–64. Available from: https://www.ncbi. nlm.nih.gov/pubmed/30897957 
  23. Bibault J-E, Chaix B, Nectoux P, Pienkowski A, Guillemasé A, Brouard B. Healthcare ex Machina: Are conversational agents ready for prime time in oncology? Clin Transl Radiat Oncol. 2019;16:55–9. 
  24. Kamita T, Ito T, Matsumoto A, Munakata T, Inoue T. A Chatbot System for Mental Healthcare Based on SAT Counseling Method. Mob Inf Syst. 2019;2019. 
  25. Paul Y, Hickok E, Sinha A, Tiwari U, Mohandas S, Ray S, et al. Artificial Intelligence in the Healthcare Industry in India. 2018. 1–45 p. 
  26. Shinde MS, Nahar MS, Shelke PS. Intelligent Chatbot for Guided Navigation of Repository Contend. Ijarcce. 2019;8(5):25–8. 
  27. Powell J. Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test. J Med Internet Res. 2019 Oct 28;21(10):e16222. 
  28. Palanica A, Flaschner P, Thommandram A, Li M, Fossat Y. Physicians’ perceptions of chatbots in health care: Cross-sectional webbased survey. J Med Internet Res [Internet]. 2019 Apr 1 [cited 2019 Nov 28];21(4):e12887. Available from: https://www.ncbi.nlm.nih. gov/pubmed/30950796 
  29. Singh O. Chatbots in psychiatry: Can treatment gap be lessened for psychiatric disorders in India [Internet]. Vol. 61, Indian Journal of Psychiatry. New Delhi: Wolters Kluwer Medknow Publications; 2019 [cited 2019 Nov 28]. p. 225. Available from: https:// www.ncbi.nlm.nih.gov/pmc/articles/ PMC6532477/?log$=activity 
  30. Editor. Turing test | Definition & Facts | Britannica [Internet]. Britannica. 2019 [cited 2019 Nov 23]. Available from: https://www. britannica.com/technology/Turing-test 
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