Preprint Review Version 1 This version is not peer-reviewed

Robots to the Rescue: A Review of Studies on Differential Medical Diagnosis Employing Ontology-Based Chat Bot Technology

Version 1 : Received: 2 December 2016 / Approved: 6 December 2016 / Online: 6 December 2016 (04:46:32 CET)

How to cite: Edwards, B.I.; Muniru, I.O.; Cheok, A.D. Robots to the Rescue: A Review of Studies on Differential Medical Diagnosis Employing Ontology-Based Chat Bot Technology. Preprints 2016, 2016120027 (doi: 10.20944/preprints201612.0027.v1). Edwards, B.I.; Muniru, I.O.; Cheok, A.D. Robots to the Rescue: A Review of Studies on Differential Medical Diagnosis Employing Ontology-Based Chat Bot Technology. Preprints 2016, 2016120027 (doi: 10.20944/preprints201612.0027.v1).

Abstract

Access to medical care is a global issue. Technology-aided approaches have been applied in addressing this. Interventions have however not focused on medical diagnosis as a fully automated procedure and available applications employ mainly text-based inputs rather than conversation in natural language. We explored the utility of ontology-based chatbot technology for the design of intelligent agents for medical diagnosis through a systematic review of the most recent related literature. English articles published in 2011-2016 returned 233 hits which yielded 11 relevant articles after a 3-stage screening. Findings showed that the creation of expert systems had been the focus of many the studies which utilize the physician-system-patient framework with system training based mostly on expert knowledge for designing web- or mobile phone-based applications that serve assistive purposes. Findings further indicated gaps in the design and evaluation of more effective systems deployable as standalone applications, for example, on an embodied robotic system. The need for technology supporting the physical examination part of diagnosis, connection to data sources on patients’ vitals and medical history are also indicated in addition to the need for more qualitative work on natural language-based interaction. The system should be one that is continuously learning. Future works should also be directed towards the building of more robust knowledge base as well as evaluation of theory-based diagnostic methodological options

Subject Areas

chatbot technology; ontology-based systems; expert systems; diagnosis; conversational agents; robotics; human-robot interaction; physician-patient relationship; intelligent agents

Readers' Comments and Ratings (1)

Comment 1
Received: 20 November 2017
Commenter: Amanda Luz Marin
Commenter's Conflict of Interests: This is a reminding to all the health care workers and professionals to be responsible at the time to do documentation because a wrong high blood pressure, a misdiagnose or a wrong medication can damage or kill a patient. I want to let them know that every health care worker have declarations that compromise their responsibility to be honest, compassionated, and obligated to apply the right standards, ethics, and government laws that protect the patients.
Comment: The article do not give enough information about the chat boat technology applications to the databases into the health care environment. I think that every databases system into the medical technological business must revise their applications before being sale to the medical business. There is so much medical information to collect from the patients for the technological databases to become verifiable and project honesty. However, it is a responsibility from the Health care workers to maintain integrity by registering the right information into the computerized Electronic Health Records. The only conflict of interest that I have is to make conscience into the Health care professionals about the patient documentation integrity and the ethical procedures related to the patient privacy and security Act to be applied at all the time.
November 19, 2017
Amanda Luz Marin; BSHA/HM
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