On-Site Assessment
Find at least five hours your practice can reclaim every week.
A physician-led, three-hour assessment of how work actually moves through your practice. The visit is followed by a comprehensive roadmap for applying the right AI tools, automations and system improvements.
We evaluate the work where it actually happens.
Led on site by Dr. Henry Cabrera, MD, MPH, the assessment combines clinical perspective, practice operations and hands-on AI implementation experience. We do not begin with a preferred product. We begin by understanding the people, systems, decisions and handoffs that make up the working day.
Observe real workflows
Follow work from patient access and rooming through documentation, orders, messages, billing and follow-up to see where it slows, repeats or leaves the practice after hours.
Listen to the people doing it
Speak with physicians, advanced practice providers, clinical staff, front-desk teams and administrators to understand the rules, exceptions and workarounds a process diagram misses.
Assess the technology stack
Review the EHR, practice-management system, phone and scheduling tools, portal, revenue-cycle systems, current AI products and the integration points between them.
Quantify recoverable capacity
Connect friction to frequency and time so recommendations are grounded in practical capacity recovered rather than novelty, headcount reduction or a vendor demonstration.
Focused enough to respect the clinical day. Detailed enough to support real decisions.
The exact sequence adapts to the practice, but every assessment covers the same four layers: priorities, workflow, technology and implementation readiness.
Align on priorities
Begin with practice leadership to define the most important operational pressures, current initiatives, constraints and the outcomes that would make the assessment valuable.
Observe and interview
Spend most of the visit with the people performing the work. Trace high-volume workflows, handoffs, queues, duplicate entry, interruptions, exception paths and work completed after clinic hours.
Review systems and data flow
Identify what current platforms already support, where information is trapped, which integrations are available and what privacy, security or governance requirements shape a safe solution.
Validate the findings
Confirm the most important observations with leadership before leaving so the final analysis reflects the practice’s reality instead of assumptions made from a distance.
The work around patient care, not just the chart.
AI creates value when it removes friction from a complete workflow. That requires looking across clinical, administrative and financial operations, including the points where one team or system hands work to another.
Documentation and inbox work
Visit notes, chart preparation, orders, patient instructions, portal messages, results and after-hours completion.
Patient access
Phone answering, identity verification, scheduling, rescheduling, reminders, intake and appropriate human handoff.
Insurance and revenue cycle
Eligibility, prior authorization, coding, claim preparation, denials, payment follow-up and repetitive payer work.
Coordination and follow-up
Referrals, forms, records, task queues, care coordination and the manual steps between an encounter and its next action.
Technology and integration
Current capabilities, data movement, interoperability, user access, vendor limitations, duplication and opportunities to connect systems.
AI readiness and governance
Appropriate use, PHI handling, BAAs, human review, auditability, escalation, staff adoption and the controls required before deployment.
A roadmap your practice can evaluate, sequence and act on.
After the visit, MD Transform converts the observations into a practical decision document. Each recommendation explains the operational problem, the proposed approach, the likely value and what must be true for implementation to succeed.
Current-state findings
A clear account of where time is being lost, why work is accumulating and which handoffs or system limitations are creating unnecessary effort.
Prioritized recommendations
Opportunities ranked by recoverable time, clinical and operational impact, feasibility, cost, risk and organizational readiness.
Tool and workflow roadmap
Recommended existing AI products, current-system capabilities, integrations or custom workflows, plus an explanation of why each approach fits.
Implementation plan
Estimated time recovered, recommended order, expected operational impact, governance requirements and concrete next actions for the first 30, 60 and 90 days.
At least five actionable hours per week, or you do not pay.
We guarantee that the assessment will identify at least five hours of practical, recoverable physician or staff capacity every week. The recommendations must be specific enough to act on, tied to observed workflows and supported by a credible implementation path. The goal is less after-hours work, fewer avoidable handoffs and more capacity for higher-value patient care.
The smallest responsible change that solves the right problem.
The roadmap is vendor-agnostic. A good answer may be configuring a capability the practice already owns, adopting a proven healthcare AI product, connecting existing systems or building a focused workflow only when the market does not adequately address the need.
Use what already works
Start with existing platforms when configuration, training or a better process can recover the time without adding another system.
Buy when the market is mature
Compare proven tools on workflow fit, EHR compatibility, privacy, oversight, adoption burden and measurable operational value.
Connect or build selectively
Use integration or custom automation when the opportunity is valuable, repeatable and not adequately solved by the technology already available.
The roadmap belongs to the practice.
Your team can implement the recommendations independently, use the report to evaluate vendors or ask MD Transform to help with larger initiatives. Implementation is a separate engagement and may include product selection, system integration, workflow development, staff training, governance and measurement.