Intended for healthcare professionals

Editor's Choice

How to make yourselves redundant

BMJ 2018; 363 doi: https://doi.org/10.1136/bmj.k4706 (Published 08 November 2018) Cite this as: BMJ 2018;363:k4706

Re: How to make yourselves redundant

In an ideal world the doctor is challenged to make their patients well. Indeed if they were to do so to the fullest extent there would be less demand for their services. We can dream about how every mother would give birth to healthy babies by natural methods of child birth, how we would live healthy lives until the day when we expire, and how we can make people well; however the real world situation is complicated by the growth of the world's population, the steady increase in levels of pollution - today it has been announced that fertility has halved in recent decades. There is a worldwide shortage of doctors moreover the demand for healthcare keeps increasing. In brief there is never going to be a situation when the doctor is made redundant.

The latest announcements re AI technologies which will replace the GP are just marketing hype. The fundamental process means that there is always going to be a limit beyond which the chatbot cannot go beyond - it is limited by the existing state of knowledge (the etiology of most medical conditions remains poorly defined, especially so re complex chronic conditions), and the ability of the patient to relay details about their health to the examining chatbot. Indeed this limited state of knowledge is the reason why there continues to be so much medical research. As stated by Einstein 'if we knew what we are doing it would not be called research'.

You might think I am arguing against a new generation of AI technology which can diagnose the patient's health. No. I am arguing for a new generation of medical technology - based upon a precise and sophisticated understanding of what the brain does and how it does it i.e. a mathematical model of how the brain regulates the autonomic nervous system and the coherent function of the physiological systems - and how this can be applied with diagnostic and therapeutic effect.

Ewing GW, Grakov IG, Mohanlall R, Adams JK. A Clinical Study Report and Evaluation of the Ability of Strannik Virtual Scanning to Screen the Health of a Randomly Selected Cohort of 50 Patients. J Neurophysiol. Neurol. Disord. 2017;4:1-12. DOI:10.17303/jnnd.2017.4.101

Grakov I G, Graham Ewing, Mohanlall R, Adams J K. A summary or meta-analysis of data regarding the use of Strannik Virtual Scanning as a screening modality for healthcare. Asian Journal of Pharmacy, Nursing and Medical Science 2017;5(3):55-71 http://ajouronline.com/index.php/AJPNMS/article/view/4636/2521 .

Ewing GW, Grakov IG (2015). A Comparison of the Aims and Objectives of the Human Brain Project with Grakov’s Mathematical Model of the Autonomic Nervous System (Strannik Technology). Enliven: Neurol Neurotech 2015;1(1): 002.

Competing interests: CEO of Mimex Montague Healthcare, suppliers of Strannik software. Strannik, the first technology to be based upon a mathematical model of how the brain regulates the autonomic nervous system and how this can be applied with diagnostic and/or therapeutic effect.

09 November 2018
Graham Ewing
Managing Director
Mimex Montague Healthcare Limited
Cotgrave, Nottingham NG12 3TU