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