scholarly journals Outcomes of Computerized Physician Order Entry in an Electronic Health Record After Implementation in an Outpatient Oncology Setting

2011 ◽  
Vol 7 (4) ◽  
pp. 233-237 ◽  
Author(s):  
Cara A. Harshberger ◽  
Abigail J. Harper ◽  
George W. Carro ◽  
Wayne E. Spath ◽  
Wendy C. Hui ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Medical Record ◽  
User Satisfaction ◽  
Computerized Physician Order Entry ◽  
Health Record ◽  
Order Entry ◽  
Record System ◽  
Medical Record System ◽  
Electronic Health ◽  
Physician Order Entry

EHR/CPOE systems improve completeness of medical record and chemotherapy order documentation, as well as user satisfaction with the medical record system.

Evaluation of outcomes before and after electronic medical record (EMR) and computerized physician order entry (CPOE) system implementation in an outpatient oncology setting

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 17058-17058 ◽  
Author(s):  
C. A. Harshberger ◽  
B. Brockstein ◽  
G. Carro ◽  
W. Jiang ◽  
W. Spath ◽  
...  
Keyword(s):  
Medical Record ◽  
User Satisfaction ◽  
Cancer Center ◽  
Computerized Physician Order Entry ◽  
System Implementation ◽  
Order Entry ◽  
Record System ◽  
Before And After ◽  
Data Points ◽  
Physician Order Entry

17058 Background: Computerized physician order entry (CPOE) in electronic medical records (EMR) has been recognized as an important tool in optimal health care provision that can reduce errors and improve safety. The objective of this study is to describe documentation completeness and user satisfaction of medical charts before and after outpatient oncology EMR/CPOE system implementation in a hospital based outpatient cancer center within three treatment sites and with sixteen physicians. Methods: A retrospective chart review was conducted on 32 randomly selected patients to date, who received one of the following regimens: FOLFOX, carboplatin-paclitaxel, CHOP-rituximab, or AC between 1999 and 2006. Charts were case matched with physician and regimen to compare documentation completeness. Completeness scores were assigned to each chart based on the number of documented data points found out of the 33 data points assessed. A user satisfaction survey of the paper chart and EMR/CPOE system was conducted among the physicians (n=16), nurses (n=43), and pharmacists (n=8) who worked with both systems. Results: The mean percentage of identified data points successfully found in the EMR/CPOE charts was 94% vs. 68% in the paper charts (p<0.001). Regimen complexity did not alter the number of data points found. The survey response rate was 64% and the results showed that satisfaction was statistically significant in favor of the EMR/CPOE system. The time required to find the data points will be assessed by having a physician, nurse, and pharmacist review the same charts. Data on 112 charts will be presented. Conclusions: Using EMR/CPOE systems improves completeness of medical record and chemotherapy order documentation and improves user satisfaction with the medical record system. No significant financial relationships to disclose.

scholarly journals Importance of Testing for Usability When Selecting and Implementing an Electronic Health or Medical Record System

2010 ◽  
Vol 6 (3) ◽  
pp. 120-124 ◽  
Author(s):  
Natalie J. Corrao ◽  
Alan G. Robinson ◽  
Michael A. Swiernik ◽  
Arash Naeim
Keyword(s):  
Electronic Health Record ◽  
Medical Record ◽  
Business Processes ◽  
Usability Testing ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Medical Record System ◽  
Electronic Health

The role of usability testing in the evaluation of an electronic health record system could improve chances that the design is integrated with existing workflow and business processes in a clear, efficient way.

scholarly journals National trends in safety performance of electronic health record systems in children’s hospitals

2017 ◽  
Vol 24 (2) ◽  
pp. 268-274 ◽  
Author(s):  
Juan D Chaparro ◽  
David C Classen ◽  
Melissa Danforth ◽  
David C Stockwell ◽  
Christopher A Longhurst
Keyword(s):  
Decision Support ◽  
Electronic Health Record ◽  
Medication Errors ◽  
Computerized Physician Order Entry ◽  
Health Record ◽  
Evaluation Tool ◽  
Order Entry ◽  
Initial Testing ◽  
Pediatric Hospitals ◽  
Physician Order Entry

Objective: To evaluate the safety of computerized physician order entry (CPOE) and associated clinical decision support (CDS) systems in electronic health record (EHR) systems at pediatric inpatient facilities in the US using the Leapfrog Group’s pediatric CPOE evaluation tool. Methods: The Leapfrog pediatric CPOE evaluation tool, a previously validated tool to assess the ability of a CPOE system to identify orders that could potentially lead to patient harm, was used to evaluate 41 pediatric hospitals over a 2-year period. Evaluation of the last available test for each institution was performed, assessing performance overall as well as by decision support category (eg, drug-drug, dosing limits). Longitudinal analysis of test performance was also carried out to assess the impact of testing and the overall trend of CPOE performance in pediatric hospitals. Results: Pediatric CPOE systems were able to identify 62% of potential medication errors in the test scenarios, but ranged widely from 23–91% in the institutions tested. The highest scoring categories included drug-allergy interactions, dosing limits (both daily and cumulative), and inappropriate routes of administration. We found that hospitals with longer periods since their CPOE implementation did not have better scores upon initial testing, but after initial testing there was a consistent improvement in testing scores of 4 percentage points per year. Conclusions: Pediatric computerized physician order entry (CPOE) systems on average are able to intercept a majority of potential medication errors, but vary widely among implementations. Prospective and repeated testing using the Leapfrog Group’s evaluation tool is associated with improved ability to intercept potential medication errors.

JSON-LD as an Interchange Technology to Facilitate Health Information Exchange

2019 ◽  
Vol 1 (1) ◽  
pp. 66-78
Author(s):  
Daniel L. Kaukinen
Keyword(s):  
Electronic Health Record ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Data Storage ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Record ◽  
Medical Systems ◽  
Record System ◽  
Electronic Health

Sharing information between medical records to form a comprehensive electronic health record leads to effective health management. However, full implementation of an electronic health record has met various barriers including companies wanting to protect their proprietary data storage formats and resisting conversion to a common data exchange format. Through the development of prototype systems, this article investigates the use of JSON-LD as an interpreter to aid in data interchange and data encapsulation. The prototypes demonstrate that JSON-LD can be applied, with nominal code changes, to an existing electronic medical record system employing JSON as a serialization protocol. This article concludes that JSON-LD works as an efficient wrapper that, when well designed, allows for simplified and robust consumption from and serving of data to other JSON-LD enabled medical systems, thereby elevating the usability and effective interconnectivity of new and existing electronic medical record systems.

Healthcare and the Electronic Health Record

2019 ◽  
pp. 7-14
Author(s):  
Karl E. Misulis ◽  
Mark E. Frisse
Keyword(s):  
Electronic Health Record ◽  
Medical Record ◽  
Gap Analysis ◽  
Personal Health Record ◽  
Health Record ◽  
Case Scenario ◽  
Record System ◽  
Paper Medical Record ◽  
The Future ◽  
Electronic Health

The cornerstone of clinical informatics is the Electronic Health Record. This is more than an electronic version of the paper medical record. The use of the electronic record is for more than point-of-care healthcare but rather includes analytics, gap analysis, decision support, and related purposes that would be almost impossible in a paper world. The electronic health record is the present preferred term for the digital systems that coordinate healthcare information. The term electronic medical record was used more prominently in the past. The chapter looks at the transition in this terminology and examines the future move to the personal health record. A case scenario is presented regarding use of the electronic health record system. The future of the system is examined.

scholarly journals Peranan Electronic Health Record System terhadap Keselamatan Pasien di Perawatan Anak

2020 ◽  
Vol 4 (1) ◽  
pp. 22-27
Author(s):  
Yayah Yayah ◽  
La Ode Abdul Rahman
Keyword(s):  
Patient Safety ◽  
Electronic Health Record ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Electronic Health

EHRs merupakan bentuk perkembangan teknologi informasi berupa sistem dokumentasi kesehatan dalam format digital yang dapat memberikan tampilan data otomatis yang mendukung dalam kelengkapan dan keakuratan data yang diharapkan dapat  meningkatkan keselamatan pasien termasuk di perawatan anak. Karena anak merupakan populasi yang rentan dalam isu keselamatan pasien. Tujuan penelitian ini adalah untuk mengetahui peranan EHRs terkait keselamatan pasien di perawatan anak. Penelitian ini menggunakan studi literatur dengan melakukan kajian artikel dan jurnal penelitian yang dicari melalui penelusuran database online yang terbit tahun 2014-2019 dengan kata kunci “electronic health record” OR “electronic medical record” AND “pediatric” AND “patient safety” sebanyak 10 artikel dijadikan bahan analisis utama ditambahkan artikel lainnya sebagai sebagai pendukung pembahasan. Hasil penelitian ini menunjukan bahwa EHRs yang sudah dimodifikasi dengan menampilkan umpan balik tanda waspada berupa sistem peringatan dengan tampilan visual dapat meningkatkan komunikasi yang efektif antar tim kesehatan, memberikan peringatan dalam keamanan dan kewaspadaan obat, serta deteksi dini sepsis pada anak sehingga mendukung pengambilan keputusan untuk melakukan tindakan yang tepat untuk meningkatkan keselamatan pasien. EHRs yang sudah dimodifikasi dengan sistem pendukung berupa sistem peringatan memiliki peranan positif dan efektif dalam meningkatkan keselamatan pasien di perawatan anak.

Why Do Physicians Reject the Electronic Health Record: A Theoretical Perspective? (Preprint)

2018 ◽  
Author(s):  
Weam Alfayez ◽  
Arwa Alumran ◽  
Dr Saja A. Al-Rayes
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Record ◽  
Record System ◽  
Factors Influencing ◽  
Tam Model ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Many theories/ models adopted from behavioral sciences literature or developed within the field of information technologies could help in understanding the technology acceptance, usage, and effective adoption. OBJECTIVE The main aim of this paper is to review the different theories/ models that can help in understanding information technology/system acceptance and use, and to choose the most appropriate theoretical framework that could be applied to understand the factors influencing physicians’ use of the Electronic Health Record system (EHR) at King Fahd Military Medical Complex (KFMMC) in Dhahran city, Saudi Arabia. METHODS The theories/ models were reviewed using scientific databases. The inclusion criteria were if the theories/ models used to explain individual behaviors toward accepting and using of information technology including the once conducted within the healthcare. RESULTS The review showed that there were five theories/ models were used within information technology studies to understand the technology acceptance and used. There were Theory of Reasoned Action, Theory of Planned Behaviour, Innovation Diffusion Theory, Unified theory of acceptance and use of technology, and Technology Acceptance Model. Each has different explanatory power of technology use. The most appropriate theoretical framework to understand the reason behind physician use of the EHR at KFMMC would be the Technology Acceptance Model (TAM). TAM model could explain up to 75% of the variation in the behavioral intention (acceptance), and up to 62% of the variation in the actual use. It is the gold standard for assessing the usage of health technologies and systems. In fact, the TAM model is one of the core models used to explore the physician’s perceptions of the Electronic Health Record system adoption. CONCLUSIONS This review showed that there are different theories available in the literature can be used to justify the reason behind electronic health record acceptance. TAM is one of the effective, simplest models used to understand the factors influencing physicians to use the EHR-system. Further studies need to apply the TAM model to check its ability in explaining the reason behind EHR within different hospitals in Saudi Arabia

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