Have you ever scheduled a medical visit with a clinic, only to find that the doctor you were paired with was the wrong specialist for your condition?
This was happening too often for the Spokane Ear Nose and Throat clinic, making patients unhappy, and wasting valuable doctor time. This happens all over the world in hospitals, clinics, and large medical practices. To solve this problem, Spokane ENT created a pre-diagnostic and appointment scheduling decision tree with Zingtree that their schedulers now use when a patient calls in to set up a visit; their medical office is now more productive and efficient than ever.
In order to deliver quality medical care, and keep patients and staff happy while maintaining profitability, it’s critical to develop a smart scheduling system. For this reason, introducing an updated process with Zingtree’s interactive decision trees is an intelligent, efficient way to get patients paired with the right doctor the first time.
Healthcare facilities have a need for a more optimized process of scheduling patient appointments. Clinics can provide an online scheduling tool allows patients to quickly and easily schedule appointments from their desktop or mobile device — anywhere and anytime — without the need to pick up the phone and connect to an operator.
On the operator and physician side, a lot of time is saved that would otherwise be spent taking calls and correctly routing a patient to the medical department they need. Using decision trees for scheduling appointments lets clinics automatically set patient visits depending on key criteria such as:
- Level of urgency
- Amount of complexity
- Anticipated length of appointment
- Required specialty
Medical diagnosis is, in itself, a complex troubleshooting process that requires patients and physicians to work together. Interactive decision trees that act as diagnostic schedulers can also integrate critical medical triage questions; by asking a few pointed questions and follow-ups, a medical professional can more quickly narrow the possibilities of what’s affecting a patient and rule out any certain healthcare scenarios.
This symptom checker functionality within a scheduling script allows practices to simultaneously set up an appointment and intelligently pre-diagnose, so that medical professionals can gather information ahead of time and patients can more easily be scheduled with the right specialist – a huge time-saver for everyone involved.
By saving time through a better, more streamlined medical scheduling and pre-diagnosis system, patients are automatically set up for receiving faster and more personalized healthcare. For clinics with multiple locations or larger hospital networks, this is even more beneficial; setting up every care center with the same system provides agents with a single, seamless scheduler tool.
Zingtree offers the kind of standardization and customization to help medical facilities in different geographic areas stay on track with one another, as well as provide a warm and professional environment for patients to get what they need as soon as possible. And as we all know, better and faster care leads to happier and healthier patients overall.
See the Zingtree Gallery for decision tree examples for all kinds of uses.