Read the full blog here: https://joellandau.com/how-a-personalized-approach-to-medicine-sparks-patient-loyalty/

1. How a Personalized
Approach to Medicine
Sparks Patient Loyalty
By Joel Landau

2. No matter the industry, it is often
challenging for an organization to foster
brand loyalty, and healthcare is no
different.
A 2021 study showed that over 33
percent of patients have no preference
when it comes to a healthcare brand
and over six in 10 respondents expected
their preference to change after the
pandemic.
Against that backdrop, it is incumbent
upon healthcare organizations to find
ways to set themselves apart from their
competition and one of the ways of
doing that is through personalized
medicine.

3. 04
As is the case with customers in the retail
space, the patient needs to be center stage.
Their unique makeup needs to be considered
by clinicians and their wants and needs must
be taken into account.
Personalized care dates all the way back to
the ancient Egyptians and Greeks, who in
their rudimentary fashion tried to ascertain
the factors affecting each individual’s well-
being. It wasn’t until the 20th Century that a
more uniform approach to care came about
– population health – but now the pendulum
has swung back in the other direction.

4. 03 It began in 1990 with the Human Genome
Project, which sought to identify each of the
estimated 20,000 to 25,000 human genes.
The 13-year project confirmed that a person’s
DNA profile plays a role in determining those
health issues to which someone might be
predisposed and that certain treatments
might be more effective than others.
Further progress toward personalized care
continued from there. One of many examples
was the launch in March 2022 by Cedars-
Sinai Medical Center in Los Angeles of an
artificial intelligence unit, the goal of which is
to use AI and machine learning to scour
hospital data and make disease prevention a
greater possibility. The following month, the
Mayo Clinic collaborated with Vuno, a South
Korean AI firm, to develop precision oncology
tools.

5. 01
Indeed, AI can automate image analyses and
thus hasten preliminary diagnoses, as was
proven when that technology was able to
identify COVID-19 on chest X-rays. It can also
reduce dosage errors and play a role in
robot-assisted surgery. Additionally, it can
ease administrative burdens, a major cause
of physician burnout.

6. Simply put, users want the best service,
and the service that best addresses their
individual needs.
If they don’t find it, they are perfectly
willing to go elsewhere. Therein lies the
challenge for each healthcare
organization:
They must evolve and innovate in order
to continue to build patient loyalty.