Whether your organization is processing claims for hospital reimbursement and reporting, editing patient records in real time, or leveraging patient data for improved risk stratification, 3M offers innovative patient grouping methodologies and classification solutions to meet your needs.
With 3M On-demand Methodology Training, your staff can now access the high-quality introductory videos, self-paced learning modules and supplemental reference materials that can help them quickly come up to speed on their new 3M technology, driving utilization, efficiency and growth.
The 3M On-demand Methodology Training is designed to help smooth the learning curve between understanding a 3M methodology, its proper use and how to best work with the output. The methodologies define and measure risk adjustment, payment, reporting, population health and quality improvement.
When implementing a methodology, organizations must quickly understand the advantages and the clinical logic at work behind the data. 3M On-demand Methodology Training can build and support that understanding and is like having a 3M consultant on site to help guide your education needs and provide easy access to training materials and reference content.
3M On-demand Methodology Training can help your organization:
Your organization can benefit from 3M’s industry-recognized expertise, with more than 30 years of experience developing classification, grouping and reimbursement calculation systems for inpatient, outpatient and professional settings. 3M On-demand Methodology Training reflects and embodies that experience and expertise.
Online, self-paced learning offers these advantages:
3M On-demand Methodology Training provides tools to help your team successfully use 3M methodologies, and the training is all accessible through a single, web-based learning platform. The content is regularly updated and maintained, keeping your personnel in the know.
On the learning platform, users will find:
3M On-demand Methodology Training is currently available for these methodologies:
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