Follow-Up Survey on Functionality of Nutrition Documentation and Ordering Nutrition Therapy in Currently Available Electronic Health Record Systems.

NUTRITION IN CLINICAL PRACTICE(2016)

Cited 16|Views14
No score
Abstract
Background: This is a follow-up survey to reassess the safety and efficacy of nutrition content in the available electronic health record (EHR) systems. Materials and Methods: Members of the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.), American Society for Nutrition, and the Academy for Nutrition and Dietetics were asked to participate in an online survey. The survey included questions from a 2012 EHR survey on the safety and efficacy in 5 nutrition content areas as well as questions from previous 2003 and 2011 A.S.P.E.N. parenteral nutrition (PN) surveys. Results: Percent of respondents using an EHR and using the EHR for less than 1 year increased between 2012 and 2014 (86%-94%, P < .05; 11%-16%, P < .05, respectively). However, there was no improvement in the safety and efficacy of the 5 nutrition content areas, with a significant decrease in 2 of these areas, ordering oral nutrition supplements and ordering PN. The top-rated EHR vendors had a higher average favorable response rate in regards to safety and efficacy in the nutrition content areas but even the top-rated EHR vendor had only a 60% average in favorable responses. Reported use of electronic PN ordering and a direct interface between the EHR and the automated compounding device (ACD) significantly increased from 2003 to 2011 to 2014 (29% to 33% to 63% and 16% to 19% to 28%, respectively, P < .05). Conclusions: This is a call to action to nutrition support clinicians, societies, and organizations to proactively be involved in initiatives to educate clinicians and collaborate with EHR vendors to enhance the EHR systems to improve the safety and efficacy of providing nutrition therapy in hospitalized patients.
More
Translated text
Key words
electronic health records,electronic medical record,safety,efficacy,nutrition therapy,nutrition documentation,nutritional support,medical order entry systems,health information management
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined