Will You Need to See a Doctor?

First Posted: Nov 30, 2020 10:34 AM EST
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Will You Need to See a Doctor?

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Health care can feel both futuristic and ancient. Multisyllabic molecular names on bottle and packs denoting tablets which have been through extensive and expensive trials and development, prescribed to help knee pain. A sore throat working its way to feeling like you're a python swallowing a goat can be soothed by honey, lemon, and boiling water. It's professional and personal, and routinely feels historical, in the sense that it is both ground-breaking and of the past. This mixed, or conflicted, feeling will embed itself further as technology continues on and family remedies remain true.

5G

5G is not only a publicly available piece of technology which will provide users with new capabilities for connectivity - anything from downloading 4K films in half-a-minute to better navigation - but it'll also enable health and social care professionals to provide better standards of patient care. It will be the foundation for all the technology and practices which the hospital relies on. 

Data sharing is a huge process in hospitals already. All the data collection that happens as patients are tested and retested - their medical records constantly updated - needs to be sent to the appropriate people. Due to file size and types, this process can be lengthy. As such, doctors, nurses, and specialists, whose workload is already very high, need to spare time to prepare the data for consultations and screening. 5G will ease this. Dramatically improving transfer speeds, and the connectivity. Possibly even downloading medical data to use VR technology to further show and explain diagnoses and prognoses to patients.

Machine Learning

The foundation by Tej Kohli funds companies like Aromyx and Open Bionics both of whom utilise machine learning in humanitarian initiatives. Aromyx measure and digitise taste and scent, in ways never done before and, in the hope that their data can be used to help design products, forecast trends and solve global issues. Open Bionics produces assistive devices for differently abled persons - usually those who have limb loss - so they can have more independence and a more convenient life. 

Machine learning is having a major impact in the administrative side of healthcare too. It is helping the flow data by improving accuracy and standardising processes, which is reducing the costs of support systems. 

Machine learning supports specialists and doctors in their diagnoses and prognoses. Used in tandem with MRIs or other such tests, the programmes will analyse the data and produce better results.

AI

AI can help diagnoses and prognoses similarly to machine learning. It can help detect disease and illness at earlier stages and give real-time information on a patient's needs.

AI can help discover and develop drugs too. It streamlines the expensive and time-costly process, enabling technicians to run more accurate simulations and clinical trials, and pursue more successful solutions.

The Doctor Will See You Now

All this leads us towards the next step in healthcare: non-human doctors. There is a chance that patients will go to hospital and only need to see a doctor in specific situations. One would assume nurses will be on hand to provide a human touch, but, for the most part, computerised systems will be able to perform the task of doctors, from tests to diagnoses to personalised treatment plans. It will enable human doctors to prioritise their workloads with much greater ease, and be where they are absolutely needed. It'll take some getting used to. 

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