Literature DB >> 32323000

An Experience of Electronic Health Records Implementation in a Mexican Region.

Belmar Mex Uc1, Gema Castillo-Sánchez2, Gonçalo Marques3, Jon Arambarri4, Isabel de la Torre-Díez5.   

Abstract

Employing software engineering to build an integrated, standardized, and scalable solution is closely associated with the healthcare domain. Furthermore, new diagnostic techniques have been developed to obtain better results in less time, saving costs, and bringing services closer to the most unprotected areas. This paper presents the integration of a top-notch component, such as hardware, software, telecommunications, and medical equipment, to produce a complete system of Electronic Health Record (EHR). The EHR implementation aims to contribute to the expansion of the health services offer concerning people who live in locations where typically have difficult access to medical care. The methodology throughout the work is a Strategic Planning to set priorities, focus energy and resources, strengthen operations, ensure that directors, managers, employees, and other stakeholders are working toward common goals, establish agreement around intended outcomes/results. A medical and technical team is incorporated to complete the tasks of process and requirements analysis, software coding and design, technical support, training, and coaching for EHR system users throughout the implementation process. The adoption of those tools reflect notably some expected results and benefits on patient care. The EHR implementation ensures that information collection does not duplicate already existing information or duplicate effort and maximize the practical use of the data collected. Moreover, the EHR reduces mistakes in hospital readmissions, improves paperwork, promotes the progress of the state's health care system providing emergency, specialty, and primary health care in a rural area of Campeche. The EHR implementation is critical to support decision making and to promote public health. The total number of consults increased markedly from 2012 (14021) to 2019 (34751). The most commonly treated diseases in this region of Mexico are hypertension (17632) and diabetes (13156). The best results are obtained in the Nutrition (20,61%) and clinical psychology services (16,67%), and the worst levels are registered in pediatric and surgical oncology services where only 1,59% and 1,97% of the patients are admitted in less than 30 min, respectively.

Entities:  

Keywords:  Electronic health record (EHR); Electronic medical record (EMR); Health information technology; Implementation

Year:  2020        PMID: 32323000     DOI: 10.1007/s10916-020-01575-w

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  25 in total

1.  Optimization of the Order Menu in the Electronic Health Record Facilitates Test Patterns Consistent With Recommendations in the Choosing Wisely Initiative.

Authors:  Courtney Barry; Steven Kaufman; David Feinstein; Nami Kim; Snehal Gandhi; Dejan Nikolic; Tina Bocker Edmonston; Charlene Bierl
Journal:  Am J Clin Pathol       Date:  2020-01-01       Impact factor: 2.493

2.  Psychopharmacology in the Age of "Big Data": The Promises and Limitations of Electronic Prescription Records.

Authors:  Matthew V Rudorfer
Journal:  CNS Drugs       Date:  2017-05       Impact factor: 5.749

Review 3.  Information and Communications Technologies Health Projects in Panama: A Systematic Review and their Relation with Public Policies.

Authors:  Gema Anabel Castillo Sánchez; Aranzazu Berbey; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2017-05-29       Impact factor: 4.460

4.  Semi-supervised learning of the electronic health record for phenotype stratification.

Authors:  Brett K Beaulieu-Jones; Casey S Greene
Journal:  J Biomed Inform       Date:  2016-10-12       Impact factor: 6.317

5.  The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians.

Authors:  Edward R Melnick; Liselotte N Dyrbye; Christine A Sinsky; Mickey Trockel; Colin P West; Laurence Nedelec; Michael A Tutty; Tait Shanafelt
Journal:  Mayo Clin Proc       Date:  2019-11-14       Impact factor: 7.616

6.  How to keep good clinical records.

Authors:  Alexander Mathioudakis; Ilona Rousalova; Ane Aamli Gagnat; Neil Saad; Georgia Hardavella
Journal:  Breathe (Sheff)       Date:  2016-12

7.  Factors Associated With Electronic Health Record Usage Among Primary Care Physicians After Hours: Retrospective Cohort Study.

Authors:  Selasi Attipoe; Yungui Huang; Sharon Schweikhart; Steve Rust; Jeffrey Hoffman; Simon Lin
Journal:  JMIR Hum Factors       Date:  2019-09-30

8.  Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey.

Authors:  Jorge Tavares; Tiago Oliveira
Journal:  J Med Internet Res       Date:  2016-03-02       Impact factor: 5.428

9.  A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data.

Authors:  Michael G Kahn; Tiffany J Callahan; Juliana Barnard; Alan E Bauck; Jeff Brown; Bruce N Davidson; Hossein Estiri; Carsten Goerg; Erin Holve; Steven G Johnson; Siaw-Teng Liaw; Marianne Hamilton-Lopez; Daniella Meeker; Toan C Ong; Patrick Ryan; Ning Shang; Nicole G Weiskopf; Chunhua Weng; Meredith N Zozus; Lisa Schilling
Journal:  EGEMS (Wash DC)       Date:  2016-09-11

10.  Biases in electronic health record data due to processes within the healthcare system: retrospective observational study.

Authors:  Denis Agniel; Isaac S Kohane; Griffin M Weber
Journal:  BMJ       Date:  2018-04-30
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