Rising costs. Staffing shortages. Shrinking reimbursements.
Here's the exact playbook to run a data-driven practice instead of
a reactive one.
Healthcare is changing faster than ever. The highest-performing practices aren't working harder — they know their numbers and automate the manual work.
Spreadsheets and disconnected software mean you're guessing instead of knowing what's actually driving the practice.
Hours each week go to manual data entry and repetitive tasks that could run themselves.
Missed appointments, unpaid claims, and lapsed patients erode revenue without anyone noticing.
More administrative burden means less time for patient care — and slower growth as a result.

I'm Katherine Pacheco, founder of Healthalytics. Before I worked directly with practices, I spent years building data & analytics reporting for one of the largest Practice Management Organizations in South Florida — handling analytics for over 200 practices and thousands of providers across specialties. I've seen firsthand what separates the practices that scale from the ones that stay stuck reacting to problems instead of preventing them. I also have experience working with large healthcare start-ups who know that data driven decisions drives growth and opportunities. I now have the pleasure of bringing this experience directly to my clients.
I'm not a consultant who hands you a roadmap and disappears — or outsources the build to an offshore team. I build the solutions myself, which means everything in this guide comes from things I've actually implemented in a live practice, not theory I picked up from a course. Every KPI, every automation, every recommendation inside is something I've built and watched work — not a generic template.
This guide is the playbook I wish every practice had from day one: the KPIs that actually matter, the automations worth setting up first, and how to know when it's time to level up your systems. Practices that treat data as a priority are the ones growing right now — this is how you become one of them.
Set rate, no-show rate, conversion, CAC, and provider utilization — with the exact formula for each.
Claims aging, denial and rejection rates, and payer performance — for any practice that bills insurance.
Ranked by how much staff time and revenue leakage each one recovers — from platform syncs to intake.
How to tell if you've outgrown spreadsheets, and which cloud platform fits your practice's size.
How to use AI safely with patient data, and which HIPAA-compliant tools are worth adopting.
The automation, reporting, and data-warehouse & AI platforms we recommend, with notes on cost and fit.
A 12-minute read built for any modern practice.
KPIs with plain-language formulas
Core automations worth setting up first
Tool & platform recommendations