Literature DB >> 24377140

Understanding EMRAM and how it can be used by policy-makers, hospital CIOs and their IT teams.

Lorren Pettit1.   

Abstract

The Electronic Medical Record Adoption Model (EMRAM)SM developed by HIMSS Analytics has become a universally recognized maturation model of a hospital's electronic medical record (EMR) environment. Numerous health care organizations (HCOs) throughout the world spend significant time and resources to improve their EMRAM standing. Yet, to the health care information technology (HIT) outsider, the value of the EMRAM and the outcomes of the efforts tied to advancing EMR capabilities are virtually unknown. This is a significant concern when efforts around the EMR compete for scarce health care resources. This article purposes to establish the EMRAM as a valuable framework for policy-makers and hospital leaders. To accomplish this end, we begin with a necessarily brief description of the EMRAM process and stages. Our attention will then turn to examples of the model's use and presence throughout the world, before ending on the ERMAM's benefits for varied health care audiences.

Entities:  

Mesh:

Year:  2013        PMID: 24377140

Source DB:  PubMed          Journal:  World Hosp Health Serv        ISSN: 1029-0540


  7 in total

Review 1.  [Strategies for digitalizing the hospital of the future].

Authors:  W Deiters; A Burmann; S Meister
Journal:  Urologe A       Date:  2018-09       Impact factor: 0.639

2.  Introduction to the cognitive hospital.

Authors:  Jordi Rovira-Simón; Marc Sales-I-Coll; Patricia Pozo-Rosich; Darren Gates; Carol Patt; Iain Hennessey; Lisa Emery; Juan Antonio Hueto-Madrid; Marta Carbonell-Cobo; Francesc Garcia-Cuyàs; Monica Moz; Zafar Chaudry; Genevieve Shaw
Journal:  Future Healthc J       Date:  2022-03

3.  Meaningful use of health information technology and declines in in-hospital adverse drug events.

Authors:  Michael F Furukawa; William D Spector; M Rhona Limcangco; William E Encinosa
Journal:  J Am Med Inform Assoc       Date:  2017-07-01       Impact factor: 4.497

4.  Level of Digitization in Dutch Hospitals and the Lengths of Stay of Patients with Colorectal Cancer.

Authors:  Rube van Poelgeest; Julia T van Groningen; John H Daniels; Kit C Roes; Theo Wiggers; Michel W Wouters; Guus Schrijvers
Journal:  J Med Syst       Date:  2017-04-08       Impact factor: 4.460

5.  The Effect of Innovation Capabilities of Health Care Organizations on the Quality of Health Information Technology: Model Development With Cross-sectional Data.

Authors:  Moritz Esdar; Ursula Hübner; Johannes Thye; Birgit Babitsch; Jan-David Liebe
Journal:  JMIR Med Inform       Date:  2021-03-15

6.  The Association between eHealth Capabilities and the Quality and Safety of Health Care in the Netherlands: Comparison of HIMSS Analytics EMRAM data with Elsevier's 'The Best Hospitals' data.

Authors:  Rube van Poelgeest; Jan-Peter Heida; Lorren Pettit; Rob J de Leeuw; Guus Schrijvers
Journal:  J Med Syst       Date:  2015-08-05       Impact factor: 4.460

7.  The clinical adoption meta-model: a temporal meta-model describing the clinical adoption of health information systems.

Authors:  Morgan Price; Francis Lau
Journal:  BMC Med Inform Decis Mak       Date:  2014-05-29       Impact factor: 2.796

  7 in total

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