New programming needs in clinics are inspiring a modern approach to planning, with these four factors making the biggest bang.
In order to answer the constant cycle of change seen in healthcare, it’s important that clinics are designed to respond to the short term and long term.
For years, healthcare designers have relied on data visualization tools to test designs. Now new technologies are helping to bring spaces to life to be further refined—long before they’re ever built.
Lean can help healthcare organizations plan clinic spaces that adapt easily to change, providing long-term value for patient care and operational cost savings—and it all starts by designing from the inside out.
We can’t assume that today’s clinic module will satisfy tomorrow’s patient needs. Rather, designs must add flexibility and adaptability to create successful spaces for the future.
The recent build-out of an inpatient unit serves as an example of how collecting data at the front end of a project can help validate design decisions and inspire what’s ultimately built.
After identifying a healthcare design problem, it’s time to see if there’s existing evidence that might provide a solution. If not, designers will need to conduct their own research, and there are several tools available to get the job done.
How do healthcare designers know if their carefully planned design solutions actually accomplished intended goals for improved patient care delivery? Post-occupancy evaluations are one way to answer that question.
After learning plenty of lessons from being a patient in a hospital he designed, one healthcare architect gained a whole new perspective on accessibility, too, when he left the hospital in a wheelchair.
A healthcare designer shares the pros and cons that he noted after becoming a patient in a bed tower he designed a decade ago.