AI in Healthcare : Transforming Medicine
and Improving Patient Outcomes
Artificial
intelligence simplifies the lives of patients, doctors and hospital
administrators by performing tasks that are typically done by humans, but in
less time and at a fraction of the cost.
AI in healthcare shows up in a number of ways, such as
finding new links between genetic codes, powering surgery-assisting robots,
automating administrative tasks, personalizing treatment options and much more.
AI IN HEALTHCARE APPLICATIONS
- Improving
medical diagnosis
- Speeding
up drug discovery
- Transforming
patient experience
- Managing
healthcare data
- Performing
robotic surgery
What Is AI in Healthcare?
AI in healthcare refers to the use of machine learning,
natural language processing, deep learning and other AI technologies to enhance
the experiences of both healthcare professionals and patients. The
data-processing and predictive capabilities of AI enable health professionals
to better manage their resources and take a more proactive approach to various
aspects of healthcare.
Examples of AI in Healthcare
To give you a better understanding of the rapidly evolving field, we rounded up some examples and use cases of AI in healthcare.
AI IN MEDICAL DIAGNOSIS
Every year, roughly 400,000 hospitalized patients suffer
preventable harm, with 100,000 deaths. In light of that, the promise of
improving the diagnostic process is one of AI’s most exciting healthcare
applications. Incomplete medical histories and large caseloads can lead to
deadly human errors. Immune to those variables, AI can predict and diagnose disease at a faster rate than
most medical professionals.
AI IN DRUG DISCOVERY
The drug development industry is bogged down by skyrocketing
development costs and research that takes thousands of human hours. Putting
each drug through clinical trials costs an estimated average of $1.3 billion, and only 10
percent of those drugs are successfully brought to market. Due to breakthroughs
in technology, AI is speeding up this process by helping design drugs, predicting any side effects and identifying
ideal candidates for clinical trials.
AI IN PATIENT EXPERIENCE
AI can be used to support digital communications, offering
schedule reminders, tailored health tips and suggested next steps to patients.
The ability of AI to aid in health diagnoses also improves the speed and
accuracy of patient visits, leading to faster and more personalized care. And
efficiently providing a seamless
patient experience allows hospitals, clinics and physicians to treat
more patients on a daily basis.
AI IN HEALTHCARE DATA MANAGEMENT
Highly valuable information can sometimes get lost
among the forest of trillions of data points. Additionally, the inability to
connect important data points slows the development of new drugs, preventative
medicine and proper diagnosis. Because of its ability to handle massive volumes of data, AI breaks down data silos and
connects in minutes information that used to take years to process. This can
reduce the time and costs of healthcare administrative processes, contributing
to more efficient daily operations and patient experiences.
AI IN ROBOTIC SURGERY
Hospitals use AI and robots to help
with everything from minimally invasive procedures to open heart surgery.
Surgeons can control a robot’s mechanical arms while seated at a computer
console as the robot gives the doctor a three-dimensional, magnified view of
the surgical site. The surgeon then leads other team members who work closely
with the robot through the entire operation. Robot-assisted surgeries have led
to fewer
surgery-related complications, less pain and a quicker recovery time.
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