APAC CIO Outlook
  • Home
  • CXO Insights
  • CIO Views
  • News
  • Conferences
  • Newsletter
  • Whitepapers
  • About us
Apac
  • Admired Tech

    Agile

    AI Healthcare

    Artificial Intelligence

    Augmented Reality

    Aviation

    Big Data

    Blockchain

    Cloud

    Cryptocurrency

    Cyber Security

    Digital Transformation

    Drone

    HPC

    Infrared

    Internet of Things

    Networking

    PropTech

    Remote Work

    Scheduling Software

    Simulation

    Startup

    Storage

    Wireless

  • Banking

    E-Commerce

    Education

    FinTech

    Food and Beverages

    Healthcare

    Insurance

    Legal

    Manufacturing

    Pharma and Life Science

    Retail

    Travel and Hospitality

  • Atlassian

    CISCO

    Microsoft

    Oracle

    Salesforce

    SAP

    ServiceNow

  • Business Intelligence

    CEM

    Cloud-based Planning

    Cognitive

    Compliance

    Contact Center

    Contact Tracing

    Contactless Payments

    Content Management System

    Corporate Finance

    CRM

    Custom Software Development

    Data Center

    Enterprise Architecture

    Enterprise Communications

    Enterprise Contract Management

    ERP

    Field Service

    HR Technology

    IT Service Management

    Managed Services

    Procurement

    Product Management

    RegTech

    Revenue Management

    Sales Tech

Menu
    • Pharma and Life Science
    • Augmented Reality
    • Agile
    • Cognitive
    • Cyber Security
    • Digital Transformation
    • Atlassian
    • E-Commerce
    • Managed Services
    • RegTech
    • CISCO
    • Blockchain
    • IoT
    • MORE
    #

    Apac CIO Outlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIO Outlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • Pharma and Life Science
    Editor's Pick (1 - 4 of 8)
    left
    The 4Ps of Digital Transformation in Pharmaceutical Industry

    Debraj Dasgupta, Operating Officer, Head of Strategy and Go-To-Market Planning Division, Nippon Boehringer Ingelheim

    Cloud Computing: Pharma Takes the Plunge

    Andy Newsom, SVP & CIO, CSL Behring

    Connected Patients: Healthcare and the Internet of Things

    Geoff Feakes, Group CIO, Tunstall Healthcare Group

    Building a Quality-Focused IT Foundation for a Biopharmaceutical Enterprise

    Andy Newsom, SVP, CIO, CSL Behring

    Points of Focus for CIOs to Succeed in the Next Decade and Beyond

    Dr. Joseph Frassica, CMIO/CTO, Patient Care and Monitoring Solutions, Philips Healthcare

    Innovating Technology -Based Metadata Solutions for Improved Data Analysis

    Douglas Barta, CIO, PAREXEL International

    Real-Time Actionable Intelligence with a Solid Analytics Platform

    Rajeev Nair,

    Breaking the Traditional IT Model in the Pharmaceutical Industry

    Michael Smith, CIO & Head of Global Business Services, Mylan Bertek Pharmaceuticals

    right

    Machine Learning & Artificial Intelligence in Healthcare Industry

    By James Woo, CIO, The Farrer Park Company

    Tweet
    content-image

    James Woo, CIO, The Farrer Park Company

    I came across this article of Facebook shutting down their AI system after their chatbots were found communicating in their own language defying what their researchers had intended - English. Many technology leaders have expressed concern with where AI is heading but it was Professor Stephen Hawking who expressed his fears more succinctly – the fear that human could one day be superseded by Artificial Intelligence.

    So do Artificial Intelligence (AI) and Machine Learning (ML) have a role in the healthcare industry? With more ethics, guidelines, checks and balances developed, I am confident that AI can contribute towards the betterment of human’s life from cradle to grave, covering key phases from

    a. Preventive healthcare with the aim to keep healthy people healthy,

    b. Disease/Sickness treatment with the focus on treating the sick and getting them well again

    c. Recovery & Rehabilitation of patients to facilitate their recovery to as normal a condition as possible

    Whichever phase it might be, AI has a role to play in. Frost & Sullivan estimates the AI market in healthcare will reach $6.6 billion by 2021.The diagram shows the relationship between AIs and multiple Big Data sources to learn, analyze and feedback into the healthcare space.

    Preventive

    Given that it costs a lot more to treat a patient than to keep one healthy, it makes sense to utilize AI to keep healthy individuals out of the disease treatment cycle and in Singapore, this group is estimated at two third of the population. Some examples of AIs being explored for such preventive purpose,

    a. Using AI with historical data from both preventive and treatment phases could be used to predict onset of chronic diseases, fatal diseases. Google with their DeepMind Health collaboration is working towards this direction. This project has the potential to identify potential health issues using datasets of de-personalised head and neck scans, and recommend the right course of action to a clinician.

    b. Falls at home or not taking their medication on time, are constant problems with an aging population. Having an AI driven system or app to predict falls or identify poor adherence to medication regimen, can improve an elderly’s quality of life. ANGEL, the world’s first AI-powered, voice-driven healthcare assistant empowers aging-in-place seniors to live independently while their caregivers are constantly engaged and kept abreast of the senior’s health status through their award winning and patent-pending platform.

    c. To predict an onset of a stroke or heart attack in certain patients within the hospital or after discharge. Researchers at the University of Nottingham in UK have created an AI system to scan patient’s routine medical data and predict who would have heart attacks or strokes within 10 years. They are still working with multiple algorithms to find one with the highest predictability. Ultimately, this can be used in a routine consultation, emergency room, or ICU settings.

    Disease treatment

    Clinical data from EMR (diagnosis, treatments, test results, medication) together with telemetries from medical devices could be used by AI to improve medical diagnosis and recommend treatments to clinicians for their consideration. Two examples of such usage,

    a. A MIT professor in collaboration with Massachusetts General Hospital is applying her natural language processing expertise in ML and AI to improve cancer diagnosis and treatment.

    b. A US start-up, Path AI participated in an April 2016 challenge pitting their computer against an expert pathologist, in detecting breast cancer – computer had an error rate around 7.5 percent while the expert’s was about 3.5 percent. However, with more data for deep learning, the computer system surpassed the human expert 7 months later.

    Recovery & Rehabilitation

    Neofect founded in South Korea, created a product called Rapael Smart Glove, an exo-glove with built-in sensors and AI software to help stroke patients to regain their hand mobility. The gamification aspect of their rehabilitation solution allows the patient to use the Glove in conjunction with a Rapael app to play up to 45 rehabilitation games with varying degree of difficulty.

    Disruption

    Talking about disruption, there is one area which AI could be extremely disruptive particularly in primary care where one goes to their doctor for their common cough and cold sickness and/or chronic disease management follow ups. Can you imagine the day when someone with common cough and cold uses a mobile app to interact with a clinical bot driven by AI which can diagnose their condition, prescribe test and/or medication based on the symptoms entered into the app, facial recognition and/or past history? And, the patient can pick up their medication from the nearest pharmacy, or get it delivered to their house.

    For a large country with limited access to clinical facility in the rural areas, such use of AI through a kiosk might not be such a bad idea. Same goes for chronic disease patient’s routine follow ups, and re-prescriptions. Perhaps we can start off by implementing a hybrid model by having online AI medical assistant bots carry out the diagnosis and with its recommendations being reviewed and endorsed by a human doctor before further steps could be taken – utilising the joint power of human and AI to address the shortage of clinical manpower and facility.

    Moving Forward

    There is definitely a role for AI to contribute in the healthcare space, and should we fear the human race being superseded by AI. Then we should confront these fears and work harder to discover and create the controls. And enable artificial intelligence to contribute safely to human’s wellbeing.

    Check out: Top Artificial Intelligence Solution Companies in Europe
    tag

    Big Data

    Machine Learning

    Clinical Data

    IT Costs

    Weekly Brief

    loading
    Top 10 Pharma and Life Science Technology Companies - 2020

    Featured Vendors

    Cbig Consulting

    Cameron Price, Managing Partner, Asia-Pacific Region

    Bluesoftware

    Stephen Kaufman, Chief Product Officer

    ON THE DECK

    Pharma and Life Science 2020

    Top Vendors

    Pharma and Life Science 2019

    Top Vendors

    Previous Next

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Read Also

    The Changing Landscape of Cyber Security

    The Changing Landscape of Cyber Security

    Scott Brandt, CIO & Director of IT, Texas Office of the Secretary of State
    Accelerating Petcare Innovation through CRM and Digital Vision

    Accelerating Petcare Innovation through CRM and Digital Vision

    Miao Song, Chief Information Officer, Mars Petcare
    How Cloud Systems are Impacting Business Environments

    How Cloud Systems are Impacting Business Environments

    Martin Stegner, CIO, NOVUM Hospitality
    Digital Tack

    Digital Tack

    Claus Nehmzow, Chief Innovation Officer, Eastern Pacific Shipping Pte
    Brokering the Cloud Services

    Brokering the Cloud Services

    Eric Boyette, Secretary & State CIO, Information Technology
    Defining a Cloud Strategy: A Higher Education Paradigm

    Defining a Cloud Strategy: A Higher Education Paradigm

    Russell M. Kaurloto, VP and CIO, Clemson University
    The 4Ps of Digital Transformation in Pharmaceutical Industry

    The 4Ps of Digital Transformation in Pharmaceutical Industry

    Debraj Dasgupta, Operating Officer, Head of Strategy and Go-To-Market Planning Division, Nippon Boehringer Ingelheim
    Technology’s Role in The Care and Quality of Life for The Aged

    Technology’s Role in The Care and Quality of Life for The Aged

    Jose A Perez, Chief Information Officer, Hammondcare
    Loading...

    Copyright © 2021 APAC CIOoutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    |  Sitemap |  Subscribe

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://pharma.apacciooutlook.com/ciospeaks/machine-learning-artificial-intelligence-in-healthcare-industry-nwid-4614.html?utm_source=google&utm_campaign=apacciooutlook_topslider