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Asia Pacific Electronic Medical Record Adoption Model (EMRAM)SM

Facilitate your progress towards paperless.

Unsure of where to begin? Start by analyzing your situation, charting your accomplishments and comparing your progress. HIMSS Analytics has devised the EMR Adoption Model, an 8-step process that allows you to track your progress against healthcare organisations across the region and view all scores in the HIMSS Analytics® Asia Pacific Database.

Asia Pacific EMR Adoption ModelSM
Stage Cumulative Capabilities
Stage 7 Complete EMR; CCD transactions to share data; Data warehousing; Data continuity with ED, ambulatory, OP
Stage 6 Physician documentation (structured templates), full CDSS (variance & compliance), closed loop medication administration
Stage 5 Full complement of R-PACS displaces all film-based images
Stage 4 CPOE, Clinical Decision Support (clinical protocols)
Stage 3 Nursing/clinical documentation (flow sheets), CDSS (error checking), PACS available outside Radiology
Stage 2 Clinical Data Repository (CDR), Controlled Medical Vocabulary, CDS, may have Document Imaging; HIE capable
Stage 1 Ancillaries - Lab, Radiology, Pharmacy - All Installed
Stage 0 All Three Ancillaries (LIS, RIS, PHIS) Not Installed
Data from HIMSS Analytics® Database ©2012

Once you have your EMRAM score, you can:

  • Begin to meet application requirements and become operational stage by stage, working toward the final level, Stage 7
  • Compare your progress with other organisations, and also across departments within your organisation
  • Align IT initiatives with your overall business strategy and shape strategy for future IT investments

Learn more about the stages of EMRAM
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Find out more about participating in the Annual Study.

"The EMR Adoption Model provides us with an objective that enables us to plan our IT initiatives and investments to steadily achieve the various stages."

- SingHealth


If you are a healthcare provider and would like more information on how to obtain your hospital's EMRAM score, contact Tina Hashim at:
+65 6664 1185 or email her at tina.hashim@himssanalytics.org.