scholarly journals Redefining Electronic Health Records (EHR) and Electronic Medical Records (EMR) to Promote Patient Empowerment

Author(s):  
Muhammad Anshari

A successful healthcare organization exists when it provides good quality service. Powered by technological changes like big data, cloud computing, and Internet of Things, healthcare information is accessed and owned and the patient has become evolving within the healthcare environment. This affects the relationship between healthcare provider and customers, and between patients. Electronic Health Records (EHRs) and Electronic Medical Records (EMRs) are considered as a building block for electronic health development. Many literatures use both terms EHR and EMR interchangeably with no clear distinction in terms of scope and dimensions. The aim of the research is to examine the distinct role of EHR from EMR in order to promote patients’ empowerment.  While, patient empowerment in e-health will enhance patients’ satisfaction, improve their health literacy, and involve patient in the process of health decision making.

2016 ◽  
Vol 78 (6) ◽  
Author(s):  
Vairamuthu S. ◽  
Margret Anouncia

Developing applications using Multi Modal Human Computer Interaction (MMHCI) remains a great challenge due to the advancement of technologies. Enhanced interaction applications and tools employed in medical records will help to improve the quality of patients’ healthcare and it opens a variety of research challenges. Replacing a difficult system to store complex data related to medical history of patients through Electronic Medical Records (EMR)/Electronic Health Records (EHR) would offer several advantages that include confidentiality and patient details reliability along with the mechanisms for quick and flexible retrieval of data/information. The task of designing MMHCI applications for real time environment for EMR/EHR is thus complex. As the inputs to medical systems are heterogeneous, the associated issues grow up with the need for new system since the existing frameworks have many gaps and drawbacks. This paper attempts to discuss the possible guidelines, standards, tools and techniques involved in integrating MMHCI with EMR/EHR.


2014 ◽  
Vol 10 (9) ◽  
pp. 660-665 ◽  
Author(s):  
Patricia C. McMullen ◽  
William O. Howie ◽  
Nayna Philipsen ◽  
Virletta C. Bryant ◽  
Patricia D. Setlow ◽  
...  

Author(s):  
Carlos Andrés Moque Millán ◽  
Alexandra Pomares Quimbaya ◽  
Rafael A. Gonzalez

One of the most important inputs for medical research is the information registered in electronic medical records. This information typically contains sensitive data that must be preserved in order to be used for research or educational purposes, and protected depending on the regulations of each country and institution. In order to assure confidentiality of data, different techniques can be used to remove basic identifiers (e.g. names, IDs); however, these techniques can be easily bypassed by attackers who know the information that can act as pseudo-identifiers of patients (e.g. birthdates, gender). Although these pseudo-identifiers can also be removed, the information they contain is valuable for medical research. To face this problem, different methods that allow minimizing the risk of sharing confidential information have been proposed. The interactive use of anonymization algorithms for electronic medical records is the main contribution of this chapter, dubbed AnonymousData.co: a proposal for anonymization of electronic health records.


2019 ◽  
Author(s):  
Björn Schreiweis ◽  
Antje Brandner ◽  
Björn Bergh

BACKGROUND Supporting recruitment of clinical trials using software tools integrated into medical care environments, so called patient recruitment systems (PRSs), recently increased. PRSs in literature are integrated in electronic medical records (EMRs), electronic health records (EHRs), and also personal health records (PHRs) integrating PRSs are mentioned. Further patient or medical records available are EHRs for distinct medical conditions (electronic medical case record (ECR); ger: Elektronische Fallakte) and personal electronic health records (PEHRs). But yet, the applicability of these different types of patient records for integration with PRSs has to be researched. OBJECTIVE Thus, this paper describes the different types of patient records and evaluates their applicability for integration with PRSs. METHODS Requirements on PRSs were gathered from literature and unstructured interviews with stakeholders in a previous study. These requirements were amended and afterwards evaluated by comparison to functionality and definition of EMR, EHR, ECR, PHR PEHR. Definitions of EMR, EHR, ECR, PHR and PEHR were taken from literature analysis concerning definitions of the record types. RESULTS All requirements could be partially met by at least one of these types of patient records. Only one requirement was fully met by all five types. According to the analysis PEHRs fulfill most requirements on PRSs. PEHRs especially fulfill patient empowerment and medical history integration requirements. CONCLUSIONS PEHRs are the most applicable records, when it comes to integration with PRSs. Thus, PRS integration with PEHRs is worth further research. CLINICALTRIAL No trial has been performed.


2012 ◽  
Vol 147 (2_suppl) ◽  
pp. P11-P11
Author(s):  
K. J. Lee ◽  
Edward B. Ermini ◽  
Subinoy Das ◽  
David R. Nielsen ◽  
Gordon H. Sun

Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.


2012 ◽  
Vol 19 (2) ◽  
pp. 117-126 ◽  
Author(s):  
M Diane Lougheed ◽  
Janice Minard ◽  
Shari Dworkin ◽  
Mary-Ann Juurlink ◽  
Walley J Temple ◽  
...  

In a novel knowledge translation initiative, the Government of Ontario’s Asthma Plan of Action funded the development of an Asthma Care Map to enable adherence with the Canadian Asthma Consensus Guidelines developed under the auspices of the Canadian Thoracic Society (CTS). Following its successful evaluation within the Primary Care Asthma Pilot Project, respiratory clinicians from the Asthma Research Unit, Queen’s University (Kingston, Ontario) are leading an initiative to incorporate standardized Asthma Care Map data elements into electronic health records in primary care in Ontario. Acknowledging that the issue of data standards affects all respiratory conditions, and all provinces and territories, the Government of Ontario approached the CTS Respiratory Guidelines Committee. At its meeting in September 2010, the CTS Respiratory Guidelines Committee agreed that developing and standardizing respiratory data elements for electronic health records are strategically important. In follow-up to that commitment, representatives from the CTS, the Lung Association, the Government of Ontario, the National Lung Health Framework and Canada Health Infoway came together to form a planning committee. The planning committee proposed a phased approach to inform stakeholders about the issue, and engage them in the development, implementation and evaluation of a standardized dataset. An environmental scan was completed in July 2011, which identified data definitions and standards currently available for clinical variables that are likely to be included in electronic medical records in primary care for diagnosis, management and patient education related to asthma and COPD. The scan, sponsored by the Government of Ontario, includes compliance with clinical nomenclatures such as SNOMED-CT®and LOINC®. To help launch and create momentum for this initiative, a national forum was convened on October 2 and 3, 2011, in Toronto, Ontario. The forum was designed to bring together key stakeholders across the spectrum of respiratory care, including clinicians, researchers, health informaticists and administrators to explore and recommend a potential scope, approach and governance structure for this important project. The Pan-Canadian REspiratory STandards INitiative for Electronic Health Records (PRESTINE) goal is to recommend respiratory data elements and standards for use in electronic medical records across Canada that meet the needs of providers, administrators, researchers and policy makers to facilitate evidence-based clinical care, monitoring, surveillance, benchmarking and policy development. The focus initially is expected to include asthma, chronic obstructive pulmonary disease and pulmonary function standards elements that are applicable to many respiratory conditions. The present article summarizes the process and findings of the forum deliberations.


2015 ◽  
Vol 24 (3) ◽  
pp. 227-241 ◽  
Author(s):  
Timothy Stablein ◽  
Joseph Lorenzo Hall ◽  
Chauna Pervis ◽  
Denise L. Anthony

2013 ◽  
Vol 112 (3) ◽  
pp. 731-737 ◽  
Author(s):  
Usman Iqbal ◽  
Cheng-Hsun Ho ◽  
Yu-Chuan(Jack) Li ◽  
Phung-Anh Nguyen ◽  
Wen-Shan Jian ◽  
...  

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