Literature DB >> 19542807

The impact of the electronic health record on an academic pediatric primary care center.

Zeina M Samaan1, Melissa D Klein, Mona E Mansour, Thomas G DeWitt.   

Abstract

Many hospitals and practices are transitioning to electronic health records (EHR), but there is little information on the impact on patient care in a busy pediatric academic setting. The objective of this study was to determine the impacts of EHR on documentation, clinical processes, billing, ancillary staff responsibilities, scheduling, and cycle time. A descriptive study to assess the impact of EHR implementation and subsequent use on documentation, clinical processes, and patient access and flow was performed in a large urban academic pediatric primary care health center. Six months and 2 years after implementation, EHR impact on documentation was collected and compared with baseline value by measuring the percentage of charts with problem lists present. Several clinical improvement processes were collected at baseline and 6 months later including medication refill turnaround time, percentage of charts without attending signature at 3 days, and type of appointment billed on ill visits. The volume of appointments and cycle time were measured at regular intervals from baseline to 2 years after implementation. The percentage of paper charts attempted to be pulled for patient visits was obtained at baseline and 1 year later. Of the 500 charts audited before implementation, and 25 charts audited 6 months and 2 years after the implementation, the percentage of the presence of problem lists improved from 29% to 84%. Medication refill turnaround time improved from an average of 48 hours to 12 hours. Charts with incomplete documentation at 3 days postvisit decreased from 3% to 1.6%. Visit coding for detailed level visits (99214) increased by 13% and for problem-focused visits (99212) decreased by 7%, resulting in increased revenue collected. Medical records support staff needs decreased from 1 full-time equivalent to 0.5 full-time equivalent. One year after the EHR implementation, the medical records staff pulled and refiled 5.2% of paper charts compared with 100% at baseline. Despite plans to return to full volume of scheduling patients by 4 weeks postimplementation, volume continued to be reduced by 10% for 3 additional months because of user inefficiency and high number of new learners/users. Patient cycle time was increased from 76 minutes preimplementation to 119 minutes immediately postimplementation and decreased to 85 to 90 minutes 2 years later. EHR can be successfully implemented in a large urban academic pediatric healthcare center. EHR implementation improved documentation of patient care, improved clinical processes, and resulted in increased revenue. However, the implementation of the EHR also led to short-term decreased appointment availability and a persistent longer cycle time. Ongoing information system training support is a key for maintaining efficiency due to the large number of new learners.

Entities:  

Mesh:

Year:  2009        PMID: 19542807     DOI: 10.1097/JAC.0b013e3181ac9667

Source DB:  PubMed          Journal:  J Ambul Care Manage        ISSN: 0148-9917


  20 in total

1.  Impact of electronic health record transition on behavioral health screening in a large pediatric practice.

Authors:  Karen Hacker; Robert Penfold; Fang Zhang; Stephen B Soumerai
Journal:  Psychiatr Serv       Date:  2012-03       Impact factor: 3.084

2.  Surgeons' perspective of a newly initiated electronic medical record.

Authors:  Richard Frazee; Laura Harmon; Harry T Papaconstantinou
Journal:  Proc (Bayl Univ Med Cent)       Date:  2016-01

3.  The impact of electronic health records on workflow and financial measures in primary care practices.

Authors:  Neil S Fleming; Edmund R Becker; Steven D Culler; Dunlei Cheng; Russell McCorkle; Briget da Graca; David J Ballard
Journal:  Health Serv Res       Date:  2013-12-21       Impact factor: 3.402

4.  Electronic medical records and physician stress in primary care: results from the MEMO Study.

Authors:  Stewart Babbott; Linda Baier Manwell; Roger Brown; Enid Montague; Eric Williams; Mark Schwartz; Erik Hess; Mark Linzer
Journal:  J Am Med Inform Assoc       Date:  2013-09-04       Impact factor: 4.497

5.  The training and support needs of faculty and students using a health information technology system were significant: a case study in a dental school.

Authors:  Heather K Hill; Denice C L Stewart; Joan S Ash
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  Clinician perceptions of pediatric growth chart use and electronic health records in Kentucky.

Authors:  N Soares; K Vyas; B Perry
Journal:  Appl Clin Inform       Date:  2012-11-28       Impact factor: 2.342

7.  Evaluating the impact of the electronic health record on patient flow in a pediatric emergency department.

Authors:  Dj Mathison; Jm Chamberlain
Journal:  Appl Clin Inform       Date:  2011-02-02       Impact factor: 2.342

Review 8.  Reasons (not) to Spend a Few Billions More on EHRs: How Human Factors Research Can Help.

Authors:  G Declerck; X Aimé
Journal:  Yearb Med Inform       Date:  2014-08-15

Review 9.  Impacts of Operational Failures on Primary Care Physicians' Work: A Critical Interpretive Synthesis of the Literature.

Authors:  Carol Sinnott; Alexandros Georgiadis; John Park; Mary Dixon-Woods
Journal:  Ann Fam Med       Date:  2020-03       Impact factor: 5.166

10.  Utilizing an electronic health record system to improve vaccination coverage in children.

Authors:  L Au; A Oster; G H Yeh; J Magno; H M Paek
Journal:  Appl Clin Inform       Date:  2010-07-14       Impact factor: 2.342

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