Independent practices remain important to healthcare delivery
Independent practices operate across many specialties and communities. Research must distinguish practice types rather than assume every specialty works the same way.
Practice Research
We publish what the data supports, and nothing more.
We study how independent healthcare practices attract, convert, serve, and retain patients—and how technology affects the process. Research is developing over time and not every practice type is equally represented yet.
Published research
External evidence we rely on
Context drawn from outside our own dataset, stated without a proprietary claim attached.
Patient acquisition and conversion are measurable business processes
The path from inquiry to appointment can be counted, which means it can be improved and evaluated. Much of the practical difficulty is definitional rather than technical.
Practices increasingly operate several separate systems
Scheduling, forms, communication, reviews, payments and recall are frequently supplied by different vendors, which creates hand-offs between them.
Patient experience extends beyond the appointment
Discovery, response, follow-up and recall all shape whether a patient returns, yet they are often owned by nobody in particular.
What we're studying
Our current research questions
These are questions, not predetermined conclusions.
- How many separate systems a typical independent practice runs, and which overlap
- How consistently inquiry-to-appointment conversion is measured
- What happens to inquiries that arrive outside staffed hours
- Whether missed calls have a defined recovery process
- How follow-up works for patients who inquire but do not schedule
- How recall and reactivation are actually operated
- Which manual workflows persist despite available automation
- What owners name as their single biggest technology problem
- Which growth priority owners choose when forced to pick one
Early observations
Findings from our own dataset
Every observation we publish will carry its sample size, collection period, sample definition and whether the data is self-reported or externally observed.
Research in progress.
We do not yet hold enough completed assessments to publish an observation responsibly. Rather than show a placeholder statistic, we are leaving this section empty until the sample is large enough to define honestly — including its collection period and whether the data is self-reported.