Medtrics was created to be flexible and to change with the needs of the medical education community.
Edgar Poe | Director Michigan State University
Building clinical schedules requires balancing availability, preferences, and institutional rules across programs and sites. Manual tools like spreadsheets and email make this work time-consuming and difficult to maintain at scale. Medtrics Optimizer removes that burden with an automated scheduling engine that operates behind the scenes. Programs generate fair, compliant, and complete schedules in a fraction of the time, freeing teams to focus on oversight, planning, and learner experience.

Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.


Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.
Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.
Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.
Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.
Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.

Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.

Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.

Every clinical program operates within its own set of constraints. Medtrics Optimizer is designed to accommodate that complexity. Programs define preferences, prerequisites, protected time, site capacity, and institutional policies within the system. The scheduling engine incorporates these inputs to produce schedules that align with program rules and operational requirements.
Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.


Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.
Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.
Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.
Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.
Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.

Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.

Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.

Medtrics Optimizer evaluates scheduling options across the full cohort to balance preferences and program requirements. The system applies weighted priorities to generate schedules that distribute opportunities fairly while honoring student input wherever possible. Programs see higher levels of schedule satisfaction and fewer conflicts tied to perceived inequity.
Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.


Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.
Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.
Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.
Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.
Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.

Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.

Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.

Processes that once required weeks of manual setup, data entry, and coordination are completed far more efficiently with Medtrics Optimizer. By automating placement logic and schedule generation, the system reduces repeated administrative effort year over year. Program coordinators and other admistrators gain time to focus on oversight, planning, and educational priorities rather than ongoing scheduling logistics.

The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.


The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.
The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.
The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.
The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.
The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.

The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.

The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.

The scheduling process produces two clear outputs: a complete, ready-to-use assignment table and a validation summary. The summary shows how program rules, learner requirements, and site capacity constraints were applied during schedule generation. Programs review results with clarity and deploy schedules confidently, supported by transparent checks built into the process.

Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.


Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.
Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.
Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.
Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.
Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.

Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.

Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.

Programs vary widely in size and structure, from single departments to multi-site clinical networks serving hundreds of learners. Medtrics Optimizer is built to support that range. The system manages large volumes of scheduling data while maintaining consistent performance, helping programs scale operations without adding administrative complexity.
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