Cumulative Impact · All Roles · All Departments
10 months of real momentum at Angell
VetRec went live at MSPCA-Angell in May 2025. Since then, 204 staff across 15 departments have generated 34,415 documented visits — with the most engaged teams logging hundreds of sessions per month.
34,415
Total Visits
2,554
Hours Recorded
15
Departments Active
88%
Activation Rate
📈 Monthly visits have grown from ~75 in August 2025 to 4,032 in February 2026 — a 53× increase in platform engagement in under a year.
⏱ Time Returned to Your Team
34,415 visits × 15 min saved = ~8,604 hours given back
At 15 minutes of documentation saved per visit, VetRec has returned the equivalent of over 8,600 hours to MSPCA-Angell's clinical staff since launch. Here's what your team could do with that time instead.
8,604
Hours Saved (est.)
358
Full Work Days Recovered
~$430K
Value (@ $50/hr avg)
🐾
Extra minutes with patients
More exam time, stronger diagnoses, deeper client trust
Priceless
🏔️
Hike Mt. Everest — 54 times over
A summit attempt takes ~160 hrs of climbing time — your team just banked enough for 54 ascents
54 summits
🚣
Kayak the entire Amazon River — 15 times
The full 4,000-mile route takes ~570 hrs of paddling — that's 15 complete river journeys
15 journeys
📚
Complete 143 CE credit courses
Average CE course runs 60 hrs — your team could earn 143 full certifications with time saved
143 courses
🌍
Fly around the world — 478 times
A full circumnavigation by air takes ~18 hrs of flight time — your team earned 478 laps of the globe
478 laps
😴
1,075 extra days off for your doctors
Based on 8-hr shifts — or 2,151 half-days of genuine rest returned to your clinical team
1,075 days
🩺 Doctor burnout costs the industry $500K–$1M per departure. Giving time back is the single highest-ROI intervention for retention — and VetRec delivers it automatically, one note at a time. With 11,964 total DVM visits, your doctors alone account for an estimated ~2,991 physician hours recovered since launch.
Monthly Visit Trend
Platform-wide usage growth since launch (all roles, all departments)
Monthly Active Users
Distinct users logging in each month
Weekly Usage Cadence
Total visits per week — recent 12 weeks
5,598
Visits, Past 30 Days
8
New Users, Past 30 Days
208
Total Registered Users
204
Users With At Least 1 Visit
14
Active Users in Jan 2026 (Peak)
23,924
Total Phone Calls Logged
The Adoption Story So Far
Angell's engaged users are among VetRec's most consistent users nationally — logging multiple sessions per week and demonstrating high-frequency workflows across Emergency, Neurology, Internal Medicine, and Avian & Exotics. The opportunity ahead is bringing reluctant adopters to that same level of engagement.
DVM-Only Cohort · All Time
11,964 physician visits
Across 68 registered doctors — 63 of whom have recorded at least one session. Doctors represent the highest-stakes documentation workload at Angell.
68
Doctors Registered
63
Doctors With Visits
93%
Doctor Activation Rate
~190
Avg Visits/Active Doctor
1,989
Doctor Visits in Jan 2026 (Peak)
~1,197
Est. DVM Hours Saved
Doctor Visit Trend
Monthly DVM-only visit volume since launch
Top Performing Doctors
By all-time visit count — these are your VetRec champions
Doctor Usage by Department
All-time DVM visits broken down by clinical team
🎯 Engagement Gap — Doctor Cohort
5 doctors registered but haven't started
With a 93% activation rate, the DVM cohort is performing well — but the remaining 5 unactivated doctors represent an untapped opportunity. These are likely the "reluctant adopters" referenced by clinic leadership. A targeted refresher or group event would convert many of these directly.
63
Activated Doctors
5
Not Yet Started
Doctor Ramp Pattern: Month 1 to 3
The data shows that doctors who become active in month 1 tend to maintain strong cadence through months 2 and 3 — suggesting early activation is the most reliable predictor of long-term adoption. Prioritizing on-ramp efforts for the unactivated 5 is the highest-ROI intervention available.
Usage by Department
All-time visit totals across all roles — ranked by total engagement
Department
Visits
Hours
Activity
🏥 Emergency & Critical Care
12,445
1,218
🩺 Internal Medicine
3,118
397
🔪 Surgery
1,790
140
🧠 Neurology
1,749
236
🦜 Avian & Exotics
1,700
167
🦷 Dentistry
490
54
👁 Ophthalmology
639
42
🎗 Oncology
917
156
❤️ Cardiology
328
45
🐾 General Medicine
134
17
🔬 Dermatology
256
43
🐕 Angell (Hospital-Wide)
280
33
⚡ Urgent Care
75
7
🧬 Behavior
3
0.4
Phone Call Volume by Department
All-time call counts — Neurology, Internal Medicine & Emergency are the most active
📞 Phone Call Breakdown — All Departments
Neurology leads with 1,749 calls and 235+ hours
Phone call activity mirrors overall usage patterns — teams with dedicated champions and regular workflows drive the highest call volume.
1,749
Neurology
328
Cardiology
280
Angell / Hospital
💡 Emergency & Critical Care is the highest-volume team overall (12,445 visits) but shows comparatively moderate phone usage — likely due to the pace of ER workflows. This represents an opportunity to introduce phone-based documentation for post-case notes.
Department Visit Distribution
All-time visit totals by clinical team
🎯 Strategic Opportunity #1
Reluctant Adopters: The Biggest Lever Left
With 88% activation network-wide and 93% among doctors, the remaining 24 users who have never recorded a session are the clearest growth opportunity. Data shows that users who activate in month 1 sustain usage through months 2–3 at high rates — meaning early activation translates directly to long-term value. A large-group refresher event, as proposed by clinic leadership, directly addresses this gap.
📋 24 users with zero visits
👨⚕️ 5 doctors unactivated
🎓 Group event recommended
🔁 Feature refresh + Q&A
Overall Activation Funnel
All 208 registered users
Doctor Activation Funnel
68 registered doctors
Engagement Gap by Department
Departments with users registered but not yet active
24 registered users have zero recorded visits — concentrated in lower-volume departments. Targeting these individuals with a direct outreach or group session would meaningfully improve network-wide utilization.
Department
Registered
With Visits
Gap
🐕 Behavior
7
5
2 inactive
⚡ Urgent Care
1
1
Low usage
🏥 Emergency & Critical Care
55
48+
Strong
🧠 Neurology
7
7
Full adopt.
❤️ Cardiology
17
~12
~5 inactive
🔬 Dermatology
6
~4
~2 inactive
🎓 Strategic Opportunity #2
The "Big Group" Event Idea — This Is Worth Doing
Leadership at Angell has proposed a large-group refresher session — open to all staff — as a way to reach less tech-savvy or reluctant adopters who may feel more comfortable in a crowd. The data supports this. Departments with multiple champion-level users (like Emergency & Critical Care, Neurology, Internal Medicine) have high activation. Departments with fewer visible power users (Cardiology, Behavior, Dermatology) lag behind. A group webinar creates social proof and safety in numbers for hesitant staff.
📺 All-staff webinar format
🆕 Feature refresh showcase
💬 Live Q&A component
🏆 Champion spotlights
📈 Strategic Opportunity #3
Expand Phone Call Usage in High-Volume Teams
Emergency & Critical Care is the busiest department by far (12,445 visits) but ranks lower proportionally in phone call documentation. Given the pace of ER workflows, introducing structured phone-note workflows post-visit could meaningfully increase time savings for your highest-burnout team. Surgery and Avian & Exotics show similar patterns — high visits, room to grow in recorded calls.
📞 ER post-case phone notes
🔪 Surgery workflow audit
🦜 Avian & Exotics growth
The Bottom Line for Angell Leadership
The people who are using VetRec are clearly finding real value — the usage data proves that. The next chapter at Angell is about closing the adoption gap. A large-group event, champion spotlights, and targeted outreach to the 24 zero-visit users could realistically bring Angell to 95%+ activation within 60 days. That's a story worth telling.
Top Users — All Roles
All-time visit leaders across every department and role
User Ramp Speed (Month 1–3)
Average daily usage in the first 3 months after account creation — shows how quickly users build habits
How to read this: Each cell shows average daily visits per user in months 1, 2, and 3. Greener = higher usage. Users who activate in month 1 consistently sustain strong habits.
Mo. 1
Mo. 2
Mo. 3