The healthcare industry is facing tremendous pressure to innovate and provide better services at a lower cost. In this challenging environment, many healthcare organizations are exploring ways to leverage artificial intelligence (AI) to improve patient care and operational efficiency. AI technology has the potential to drive transformative change in almost every segment of the healthcare industry.

1. 5 Ways AI is Revolutionizing
Healthcare: An Overview
The healthcare industry is facing tremendous pressure to innovate and provide better services at a
lower cost. In this challenging environment, many healthcare organizations are exploring ways to
leverage artificial intelligence (AI) to improve patient care and operational efficiency. AI
technology has the potential to drive transformative change in almost every segment of the
healthcare industry.
Improving employee wellness, addressing patient check-in wait times, identifying high risk
patients, monitoring disease progression and many other processes can all be made more
efficient through the use of artificial intelligence. Let’s take a look at how AI is improving
healthcare and which areas stand to benefit most from its implementation.

2. 1. AI for Early Diagnosis:
AI is already being used to detect diseases, such as cancer, more accurately and in their early
stages. According to the American Cancer Society, a high proportion of mammograms yield
false results, leading to 1 in 2 healthy women being told they have cancer. The use of AI is
enabling review and translation of mammograms 30 times faster with 99% accuracy, reducing
the need for unnecessary biopsies[1].
The proliferation of consumer wearables and other medical devices combined with AI is also
being applied to oversee early-stage heart disease, enabling doctors and other caregivers to better
monitor and detect potentially life-threatening episodes at earlier, more treatable stages.
2. Improved Decision Making:
Improving care requires the alignment of big health data with appropriate and timely decisions,
and predictive analytics can support clinical decision-making and actions as well as prioritise
administrative tasks.
Using pattern recognition to identify patients at risk of developing a condition – or seeing it
deteriorate due to lifestyle, environmental, genomic, or other factors – is another area where AI
is beginning to take hold in healthcare.
3. AI for quick Treatment:
Beyond scanning health records to help providers identify chronically ill individuals who may be
at risk of an adverse episode, AI can help clinicians take a more comprehensive approach for
disease management, better coordinate care plans and help patients to better manage and comply
with their long-term treatment programmed.
Robots has been playing a main role in medicine for more than 30 years. They range from simple
laboratory robots to highly complex surgical robots that can either aid a human surgeon or
execute operations by themselves. In addition to surgery, they simplify the repetitive tasks, in
rehabilitation, physical therapy and in support of those with long-term conditions.

3. 4. Life Care Protection:
We are living much longer than previous generations. As we approach the end of life, we are
dying in a different and slower way, from conditions like dementia, heart failure and
osteoporosis. It is also a phase of life that shall pass.
Robots have the potential to revolutionise end of life care, helping people to remain independent
for longer, reducing the need for hospitalisation and care homes. AI combined with the
advancements in humanoid design are enabling robots to go even further and have
‘conversations’ and other social interactions with people to keep aging minds sharp.
5. AI for Training:
AI allows those in training to go through naturalistic simulations in a way that simple computer-
driven algorithms cannot. The advent of natural speech and the ability of an AI computer to draw
instantly on a large database of scenarios makes it huge. It ensures the response to questions,
decisions or advice from a trainee that can challenge in a way that a human cannot. Also, the
training programme can learn from previous responses from the trainee, while adjusting the
challenges and meeting their learning needs.
And training is possible at anywhere; with the power of integrated AI on a smartphone. Quick
catch up sessions, after a tricky case in a clinic or while travelling, will be also possible.
Security, compliance, and governance are at the core of automation with Techugo. Manage and
control RPA while preserving the freedom to revolutionize our business.
Artificial intelligence (AI) offers an unrivaled opportunity to reshape the practice of healthcare.
Handling patient data and processing claims takes a lot of healthcare professionals’ time daily.
AI can handle complex processes and improve decision-making in healthcare organizations.
Conclusion:
AI adoption in healthcare continues to have challenges, such as lack of trust in the results
delivered by an ML system and the need to meet specific requirements. However, the use of AI
in health has already brought multiple benefits to healthcare stakeholders.
By improving workflows and operations, assisting medical and nonmedical staff with repetitive
tasks, researchers and clinicians can all enjoy benefits. Also, supporting users in finding faster
answers to inquiries, and developing innovative treatments and therapies, AI again plays an
important role.

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