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Patient Data Management: Weekly Clinical Experience 4
Describe the Electronical Medical Record system that is used on your clinical practice site. Patient Data Management
- What are the Pros and cons you have found.
- Is E-prescription incorporated on the EMH?
- Does it have adaptive learning?
- Does it have Incorporated patient doorway?
- Is there Flexibility with the absence of internet connectivity?
- Does it have effective documentation and Image management capability.
Support and share your personal experience so all of us can learn.
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Patient Data Management
Submission Instructions:
- Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sourcesWeekly Clinical Experience 4
Describe the Electronical Medical Record system that is used on your clinical practice site.
- What are the Pros and cons you have found.
- Is E-prescription incorporated on the EMH?
- Does it have adaptive learning?
- Does it have Incorporated patient doorway?
- Is there Flexibility with the absence of internet connectivity?
- Does it have effective documentation and Image management capability.
Support and share your personal experience so all of us can learn. Patient Data Management
Submission Instructions:
- Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources.
In this week’s clinical experience, I observed the Electronic Medical Record (EMR) system used at my clinical practice site, assessing its functionalities, advantages, and limitations in supporting clinical tasks and patient care. This EMR system streamlines numerous processes, from documentation to prescription management, significantly impacting the clinical workflow. Here’s an in-depth overview of my experience and assessment.
Overview and Key Features of the EMR System
The EMR system at my clinical site includes standard features for recording patient information, ordering tests, and managing prescriptions. It also incorporates modules for data analytics, patient history tracking, and, to a limited extent, adaptive learning to support clinical decision-making. These elements aid practitioners in providing more coordinated and…