
Advances in medical treatments and
technology are ushering in a new era of personalized healthcare. Each patient
has their own distinct medical history, genetics, lifestyle and preferences,
and it is increasingly clear that tailored care plans are essential to improve
patient outcomes and elevate the overall experience. Personalized patient care
has become more critical than ever, and is key
to creating better patient experiences.
Targeted patient outreach and tailored payment plans are just
two examples of how providers can use digital tools to foster better
patient engagement without compromising efficiency – one patient at a
time.
Today patients are better informed and increasingly engaged in
their own health. They expect to be treated as equal partners, not as passive
participants waiting to be told what to do by their doctor, patients value
proactive outreach and relevant reminders and prompts that help them move
through their healthcare journey with as little friction as possible.
There are financial benefits too. As patients consistently
report concerns about the cost of care, support to understand and manage bills
can make a major difference in their propensity to pay.
Clearly, there are practical limits to the level of
personalization that can be offered. But with the right digital tools and data
analytics, providers can segment groups of patients and deliver an experience
that is sufficiently tailored so it feels like they have their own healthcare
concierge.
And rather than adding to the operational workload, the data
analytics and automations that facilitate personalization can also streamline
workflows and improve overall efficiency. In this way, tailoring the patient
experience can contribute to a reduced manual workload, fewer errors and faster
collections. Providers don’t need to compromise efficiency for personalized
patient experiences.
Experian Health’s showed that patients appreciate proactive
outreach by providers, though many said this didn’t always happen.
With digital patient outreach solutions, communications can be tailored for different patient segments. Consumer data can allow patients to be grouped according to need, behaviour and preference