Literature DB >> 25298812

Attitudes and perceptions of pediatric residents on transitioning to CPOE.

A R Shriner1, E C Webber1.   

Abstract

BACKGROUND: Many resident physicians have experienced transitioning from traditional paper documentation and ordering to an electronic process during their training.
OBJECTIVE: We sought to investigate the attitudes and perceptions of residents related to implementation of computer provider order entry (CPOE) and clinical decision support (CDS).
METHODS: Pediatric residents completed web-based surveys prior to CPOE implementation and at 6 months and 12 months after implementation. The survey assessed resident attitudes and perceptions related to CPOE and the use of CDS tools. Additionally, at 6 and 12 months, residents were asked how electronic medical record (EMR) resources might impact future career decisions.
RESULTS: Prior to CPOE implementation, 70% of residents were looking forward to CPOE, but 28% did not want to transition from paper ordering. At 12 months post-implementation, 80% of residents favored CPOE over paper ordering and only 3.33% wished to revert to paper ordering. Residents reported an increase in time needed to enter admission orders 6-months after CPOE implementation. By 12 months post-implementation, there was no significant difference in perceived time to complete admission orders when compared to pre-CPOE responses. Most residents (91.67%) identified that overall EMR resources were an important factor when considering future employment opportunities. The most important factors included the degree of EMR implementation, technology resources and the amount of support staff. The least important factors included patient portal access and which EMR product is used.
CONCLUSIONS: Overall, residents demonstrated a preference for CPOE compared to traditional paper order entry. Many residents remained unaware of CDS tools embedded within CPOE at the 12 month follow-up, but a majority of residents did find them helpful and felt more knowledgeable about current guidelines. EMR resources, including degree of EMR implementation, technology resources and support staff are likely to be important factors as residents take future employment opportunities into consideration.

Entities:  

Keywords:  Computer provider order entry; clinical decision support; electronic medical record

Mesh:

Year:  2014        PMID: 25298812      PMCID: PMC4187089          DOI: 10.4338/ACI-2014-04-RA-0045

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  20 in total

1.  Controlled trial of direct physician order entry: effects on physicians' time utilization in ambulatory primary care internal medicine practices.

Authors:  J M Overhage; S Perkins; W M Tierney; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Comparison of time spent writing orders on paper with computerized physician order entry.

Authors:  K Shu; D Boyle; C Spurr; J Horsky; H Heiman; P O'Connor; J Lepore; D W Bates
Journal:  Stud Health Technol Inform       Date:  2001

3.  The effect of computerized provider order entry on medical student clerkship experiences.

Authors:  Amy M Knight; Steven J Kravet; G Michael Harper; Bruce Leff
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

Review 4.  Electronic medical records and their impact on resident and medical student education.

Authors:  Craig R Keenan; Hien H Nguyen; Malathi Srinivasan
Journal:  Acad Psychiatry       Date:  2006 Nov-Dec

5.  Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system.

Authors:  Yong Y Han; Joseph A Carcillo; Shekhar T Venkataraman; Robert S B Clark; R Scott Watson; Trung C Nguyen; Hülya Bayir; Richard A Orr
Journal:  Pediatrics       Date:  2005-12       Impact factor: 7.124

6.  User satisfaction with computerized order entry system and its effect on workplace level of stress.

Authors:  Nasrollah Ghahramani; Irina Lendel; Rehan Haque; Kathryn Sawruk
Journal:  J Med Syst       Date:  2009-06       Impact factor: 4.460

7.  Physician specialty and variations in adoption of electronic health records.

Authors:  Z M Grinspan; S Banerjee; R Kaushal; L M Kern
Journal:  Appl Clin Inform       Date:  2013-05-22       Impact factor: 2.342

8.  Impact of computerized physician order entry on physician time.

Authors:  D W Bates; D L Boyle; J M Teich
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

9.  Integrating "best of care" protocols into clinicians' workflow via care provider order entry: impact on quality-of-care indicators for acute myocardial infarction.

Authors:  Asli Ozdas; Theodore Speroff; L Russell Waitman; Judy Ozbolt; Javed Butler; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

10.  Effects of computerized physician order entry on medication turnaround time and orders requiring pharmacist intervention.

Authors:  Lloyd Davis; Luigi Brunetti; Eui-Kyung Lee; Nari Yoon; Sung-Hee Cho; Dong-Churl Suh
Journal:  Res Social Adm Pharm       Date:  2013-12-03
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  4 in total

Review 1.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Toward the Elimination of Paper Orders: Managing the Challenge of Low Frequency Physician Users of Computerized Patient Order Entry (CPOE).

Authors:  George A Gellert; Ricardo Ramirez; S Luke Webster
Journal:  Appl Clin Inform       Date:  2016-01-20       Impact factor: 2.342

3.  Looking Behind the Curtain: Identifying Factors Contributing to Changes on Care Outcomes During a Large Commercial EHR Implementation.

Authors:  Tiago K Colicchio; Damian Borbolla; Vanessa D Colicchio; Debra L Scammon; Guilherme Del Fiol; Julio C Facelli; Watson A Bowes; Scott P Narus
Journal:  EGEMS (Wash DC)       Date:  2019-05-06

4.  Physicians' Attitude towards Electronic Medical Record Systems: An Input for Future Implementers.

Authors:  Mulugeta Hayelom Kalayou; Berhanu Fikadie Endehabtu; Habtamu Alganeh Guadie; Zeleke Abebaw; Kassahun Dessie; Shekur Mohammed Awol; Nebyu Demeke Mengestie; Abraham Yeneneh; Binyam Tilahun
Journal:  Biomed Res Int       Date:  2021-08-28       Impact factor: 3.411

  4 in total

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