AI is making many changes in different industries. Let's see how AI impacts on Custom healthcare software development challenges.

1. Artificial
Intelligence:
Healing Custom
Healthcare
Software
Development
Problems
www.bacancytechnology.com

2. The COVID-19 scenario is barging with no
sign of decline. More than 8 months have
passed since the first coronavirus case was
diagnosed, and now, every day across the
world, millions of cases are discovered.
From my personal experience, I can say that
this pandemic has taught us a new way of
living.
Table of content:
1. My Personal Experience
2. Need For Custom Healthcare Software
Development
3. Need for AI in Healthcare
4. Contributions of AI (AI Healthcare
Applications)
5. Benefits of AI in Healthcare
6. How AI can change the way of Treatment

3. My Personal Experience
We are four family members, and other
than me, three of them got COVID-positive.
Thankfully, their symptoms were mild, and
hence we got home isolation. It was tough
for me to sustain myself at home in that
situation. However, all of us were isolated
from each other. I remember how I had to
update our doctor with their health-
conditions every day and seek further
guidance on their medications and
treatment.

4. Every four hours, communication with
doctors was the most vital part, and I know
how troublesome it was with meager
healthcare software solutions in my
country. I am sure that if we had a better
healthcare software solution option, it
would have been convenient. Luckily the
three of them got well within two weeks,
and I feel like a warrior by being unaffected
by the virus.
After this time the only thing that I think is
to start my Custom Healthcare Software
Development Company. Not for the
business opportunities, but for the help of
those like my family, who need it the most
right now. On top of that, it is high time that
we adopt the merger of Artificial
Intelligence with Healthcare.

5. Doctors around the world are highly
occupied with the COVID widespread. If
anything humanity needs right now is
virtual assistance of a super-powerful
technology with the brains of doctors. That
is only possible by AI. Artificial intelligence
in healthcare is not a new idea, for years
now, governments and healthcare
organizations have been discussing the
plans. However, it is the eleventh hour for
implementing those ideas into reality.
In today’s blog, I have brought for you the
topic- AI in helping build custom healthcare
solutions development services.

6. Need For
Custom
Healthcare
Software
Development

7. As the pandemic is showing no sign of
downfall, we must learn to live with it. Mass
social distancing, personal hygiene
protection, and other public health measure
are not sufficient to battle against the virus.
We need to strengthen our digital
healthcare systems as the prime
preparation from our side. China, being the
first nation influenced by the pandemic, has
already started leveraging the use of digital
technology in their healthcare solutions.
Other countries should follow the same
path.

8. As perStatista, six times growth is expected
in the digital health market in 2025 as
compared to that in 2018. The approximate
market size is going to be 504.4 billion US
Dollars. Healthcare software development
will help in immediate outbreak response to
the coronavirus. Data-driven technology
can be used in tracing contacts,
surveillance, and undertaking a maximum
number of tests.
[img src: statista.com ]

9. Another reason why now is the right time
for bringing in AI-driven Healthcare
solutions is that the pandemic has
mitigated the impact of other diseases.
People are scared to visit healthcare
facilities as most of the hospitals are
occupied with Covid-19 patients. On the
other hand, even doctors become reluctant
to come in close vicinity of patients as the
deadly virus is prone to spread while
measuring patients’ vitals.
Several medical services, like outpatient
centers were closed due to the lockdown
effect. Hence, if there is a digital healthcare
facility, then humanity can leverage it in
this time of crisis.

10. Need for AI in
Healthcare

11. Check out this video for knowing the
benefits and risks of AI in healthcare.
https://youtu.be/j5ASmVnATc0
Artificial intelligence can enable every
human task without human intervention
and that is too efficient, speedily, and less
costly. Gartner has predicted that by 2021,
over 75% of healthcare delivery
organizations will have invested in Artificial
Intelligence. I’ve jotted down 10 reasons
why modern healthcare facility needs AI.

13. Keeping Well
Keeping humanity’s health in a constant
better state and enabling lesser dependence
on doctors is one of the most significant
achievements of Artificial intelligence. More
consumer healthcare applications are now
adapting to the Internet of Medical Things
(IoMT) devices that encourage people to live
a healthier lifestyle.
AI applications help people manage their
lifestyles proactively and find out their
health risks in advance. Apart from patients
and society, AI also helps healthcare
professionals and doctors better
understand people’s needs with enhanced
feedback, guidance, and support.

14. Early Detection
As per the Northwestern University Study,
AI can detect lung cancer with accuracy,
even before radiologists. 1 out of 2 women
in the USA are recognized with a threat of
breast cancer, and a high number of those
mammography results turn false. AI has the
potential to verify the accuracy of cancer
tests faster and with precision.
With the help of AI-enabled wearables,
users can detect early-stage risks of heart
and cardiovascular health problems.
Doctors and healthcare practitioners make
use of AI medical devices to provide better
service and care to the patients, along with
identifying life-threatening diseases at an
early stage.

15. Diagnosis
One of the powerful AI devices is IBM’s
Watson, which applies cognitive technology
to electronic health records (EHR) and
enables healthcare professionals to
diagnose patients powerfully. Watson
stores more than ever possible information
regarding the disease, including its
minutest symptom, treatment, case-study,
and more than a human being.
Another big-scale example of AI in
healthcare diagnostics is
Google’s DeepMind Health. This technology
uses neuroscience and machine learning to
bring solutions for real-world use-cases. It
builds learning algorithms that train to
work like the human mind and turn to be
useful in the healthcare domain.

16. Decision Making
Taking the right decisions at the right time
is crucial when it comes to healthcare. Some
patients live on the verge of getting a cure
at the last-minute. We have seen many
medical miracles because the patient came
at just the right time. Otherwise, it could
have been too late for recovery or saving
their life. AI helps in this matter as well.
When combined with big data technology
and predictive analysis, AI can help make
timely decisions to cure patients and
prioritize admin tasks.
Using pattern recognition, an AI
methodology, doctors can identify patients
at risk by measuring their lifestyle,
geographical, genomic, and environmental
factors.

17. Also Read: How Big Data, Analytics, and AI
are transforming the Future of Healthcare.

18. Training
Medical learning and training are not as
easy as other forms of training. AI helps
medical students to get their training using
naturalistic simulations. Otherwise,
computer-driven algorithms cannot help
the bio-students as much AI does. There are
many ways AI benefits in healthcare
learning and training, to name a few: speech
recognition, vast database collection,
instant response, etc.
With AI-enabled apps for healthcare
learning on smartphones, students can
learn anytime and anywhere.

19. Research
For a new drug to become available for the
patients, it costs a substantial amount of
money and time. It takes on an average of 12
years for a new medicine to get approval
from the research lab to be available for
humanity. And over that, only 1 out of 1000
drugs get to undertake their preclinical
trials, out of which only rare ones get
available to humans. It is very evident from
this above study by the California
Biomedical Research Association, that how
time and money consuming is a new drug
trial.
Thanks to AI, it has prominently
streamlined drug discovery and drug
repurposing. With this advanced
application of AI in your custom healthcare
application, you can bring down the time to
market and cost for new drug trials in your
country.

20. End of Life Care
As you compare with the last few
generations, our death-rate has decreased,
and life expectancy has increased.
Contradictory to the reasons behind deaths
being the deadly diseases, now its more of
dementia, osteoporosis, heart failure, and
more where mostly the patients get lonely.
In this matter, too, AI is advancing with its
human-life emotions, voice, characteristics,
and dependence.
AI-apps and robots can accompany such
patients and help them to be independent
of healthcare assistance. Modern robots are
trained to carry excellent communication
skills and social behavior.

21. Treatment
AI is able to diagnose risk at an early stage
and assist doctors and patients well, and it
also helps clinical staff in disease
management. Robots-AI mind- are long
since used in the health industry, over 30
years in assisting for clinical or surgical
work. AI proves to be excellent in repetitive
tasks for long-term illness or conditions,
rehabilitation centers, and physical therapy
sessions.

22. Contributions
of AI (AI
Healthcare
Applications)

23. Machine Learning and Deep Learning- these
two implications of Artificial Intelligence
are making dominant footprints in custom
healthcare solutions development services.
Now that you know the tremendous
benefits of implementing AI in healthcare,
here are some examples of AI applications
in the healthcare industry.

24. 1. Medical History
Management
The most common AI application for the
healthcare domain is data record
management. AI can trace, rectify, filter,
and store data records accurately and
faster. It also leaves doctors available for
the patient diagnosis.
2. Faster Tests and Scans
AI-assisted machines can execute repetitive
jobs at any healthcare center like
undertaking an X-ray, CT-scan, blood-tests,
and other frequent check-ups. The immense
need for such AI apps is observed in
Cardiology and Radiology, where the
amount of data analysis is the maximum. As
AI perceives these tasks, specialists can only
attend to cases where human intervention
is inevitable.

25. 3. Online Consultation
With the ongoing COVID scenario and even
before that, online doctor’s consultation
services have seen a hike. AI tends to be
perfectly suitable for remote diagnosis by
image processing algorithms. Applications
like WebMD and K Health are the future of
digital medical consultation.
4. Digital Nurses
Virtual nurses can observe symptoms and
assist patients with timely medicinal
reminders. AI programs help chronic
illnesses very well with the help of digital
nurses. Not only that, but virtual nurse
applications also turn to be useful for the
doctors as well.

26. Contributions of AI (AI Custom Healthcare
Software Development Applications)

27. 5. Drug Recreation
As the manual drug trials and research are
time and cost consuming, experiments are
in execution to use AI-powered programs to
study the existing drug and redesign it to
fight the disease.
6. Precision Medicine
AI in the field of genetics and genomics,
studies patient information from its DNA,
which is linked to hereditary diseases. Such
applications help identify the patients
posing a risk of cancer and vascular diseases
in the future.

28. 7. Self-Monitoring
Wearables
There is not much to say in this section as
the popular health devices available in the
form of wrist-bands like Apple smartwatch,
FitBit, and Garmin prove it all. People are
benefited by keeping track of their heart-
rates, pulse-rate, and other vitals using such
AI-enables wearables.
8. Chatbots
Immensely sharp and powerful human-like
communication is carried out by AI
chatbots that are available in text and audio
formats.

29. Benefits of AI
in Healthcare

30. AI is improving several industries, and
healthcare is no far. Patients, doctors,
mankind, and nursing staff, everyone is
benefited from AI in healthcare software
solutions. The notable advantages of
Artificial Intelligence in Healthcare are:
Accessibility
Healthcare is now available to all the
world’s people, even those living in remote
locations. This healthcare system
accessibility is a notable achievement and
advantage of AI technology.

31. Early detection of health
risks
Artificial Intelligence helps humanity to
identify the early risks of life-threatening
diseases. The AI apps accumulate the
database with the causes, precautions, and
cures of every health condition. Along with
the predictive analysis, AI helps operational
management of healthcare facilities.
Time & Cost Saving
Along with all other AI benefits, we can not
forget the most critical factor that we get by
adopting AI- time and cost-saving.

32. Surgery Assistance
AI apps enable surgeons and doctors with
accurate and most essential information
while undertaking any surgery which
fruitfully impacts the patient condition.
Human Ability
Augmentation
AI has made possible the impossible things.
Smart prosthesis or smart limbs help the
paralyzed or physically challenged patients
with human-like accomplishments that
help them react and respond like normal
humans.

33. How AI can
change the
way of
Treatment

34. Redefined Care Delivery
Digital Patient Experience
Enhanced Talent Development
Technological Operational Efficiencies
Healing and Well-being Design
Looking at the healthcare sector’s current
scenario globally and the parallel demand of
public health, a change is sure to make way.
There are high chances of AI bringing a
revolution in the healthcare industry with
breaking in the following ways:

35. Bacancy Technology is a globally
renowned custom healthcare software
development company. Here, we provide
revolutionary AI solutions for healthcare to
hike your business productivity. Begin your
custom healthcare software development
services with our skilled AI developers and
get mind-boggling results.
Parting Note

36. Thank You