Digital Healthcare System – is It Worth the Hype

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Digital Healthcare System Is it worth the
hype?
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• The ever-blooming Indian medical industry is not
  far behind in incorporating digital technology
  for its operations. According to a 15-country
  Future Health Index (FHI) report published in
  2019 by Royal Philips a global leader in health
  technology, India is steadily gaining momentum in
  utilizing digital health technology at its best.
  Around 76 healthcare professionals across the
  country, are using Digital Health Records (DHR)
  in their practice.
• Lets see how technological advancements like AI
  and Machine Learning are helping revolutionize
  health records, along with a few pitfalls
  associated with them.
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• Impacts of healthcare digitization
• The constantly growing medical knowledge-base and
  digitization of healthcare system have
  revolutionized the way knowledge is utilized and
  implemented in making clinical decisions.
• As of now, clinical research data forms the basis
  of evidence-based medicine, still it takes around
  17 years for only 14 of latest scientific
  discoveries to see the light of the day. If it
  remains rooted to the digital library, knowledge
  would never actualize into clinical care.

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• Therefore, as the digitization of health records
  produce more amount of data pertaining to patient
  health status and healthcare delivery, both AI
  and Machine Learning can convert real world
  data into real world evidence thereby
  enhancing collective knowledge of the existing
  medical community.
• Although the healthcare professionals knowledge
  repository is considered as the backbone for
  improving practice, it can also be quite
  challenging especially when it comes to making
  life and death decisions of a patient lying
  unconsciously in an operation theatre.
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• Real-time digital healthcare
• In a world of limited time and resources, the
  implementation of real-world evidence and
  Clinical Decision Support (CDS) tools not only
  reduces costs but also keeps inefficiencies at
  bay right from the decision to admit to
  decision for treatment.
• Any medical expert would be delighted to work
  with CDS as it also provides the use of
  patient-specific healthcare data for optimizing
  care decisions, personalized care giving, and
  improving precision care delivery. By
  implementing machine learning and AI, we can have
  better prescriptive and predictive capabilities
  to deliver specialized care for patients. It can
  also reduce unintended variations and improve the
  data quality fed into the system.
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• Every good attracts bad
• Just like its brighter side, digital healthcare
  system also has some of its own downsides, or
  dangers, which need to be dealt with effectively.
  Lets have a quick glance at them
• Worldwide people go for wearable technology like
  Apple Watches, Fitbit, etc. but they are not
  well-aware of what exactly must be done with the
  tons of data being collected with these
  internet-enabled devices. It becomes important
  for the medical industry professionals to develop
  a set of community standards to handle the data
  collected from wearables, AI algorithms, and
  other technologies.
• AI just acts as an assistant in diagnosis and
  healthcare operations, but it cannot replace the
  medical experts. In the long run, there are
  little to no chances of technology to take over
  knowledge and expertise of the doctors.
• Although digital healthcare setup has some
  pitfalls, due to its existence we can have a
  democratized system of healthcare. Healthcare
  providers should commit to digital transformation
  in order to enable a knowledge-powered system
  that provides better outcomes to their patients.
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• This article is based on series of free videos
  lectures by DocMode which is beneficial for
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  medical interns, pharmacy students etc. If you
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