Software ecosystem of electronic medical record to facilitate the exchange of inter institutional information: Case study in a fragmented Health System

2017 ◽  
Author(s):  
Israel Huerta-Ibarra ◽  
Lina Sofia Palacio-Mejia ◽  
Ernesto Suaste-Gomez
Keyword(s):  
Health System ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Software Ecosystem

scholarly journals How to protect information from the Patient's electronic medical record: proposed mechanisms

2020 ◽  
Author(s):  
Odirlei Antonio Magnagnagno ◽  
Edimara Mezzomo Luciano ◽  
Rafael Mendes Lübeck
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Patient Information ◽  
Document Analysis ◽  
Information Privacy ◽  
Research Strategy ◽  
Structured Interviews ◽  
Normative Documents ◽  
Health Area

The purpose of this article is to identify mechanisms that may contribute to preserving the privacy of patient information contained in the electronic medical record. The research strategy is exploratory-descriptive, using Document Analysis and Case Study. A set of 20 documents, related to laws, manuals and standards, was analyzed and conducted case studies in two hospitals, preceded by a pilot case study. The cases were studied through semi-structured interviews, analysis of internal documents and occasional observation. In one of the stages of the research we have identification and analysis of regulatory and normative documents. And as a final result, the identification of the mechanisms that the hospitals surveyed use for information privacy. The most used mechanisms are those of processes in relation to the safeguard and those of relationship in relation to the awareness of the collaborators. As contribution, the article shows the need to strengthen the discussion of the theme for the academy. As well, a list of documents and mainly a list of mechanisms that can contribute to the protection of the information in the health area.

scholarly journals Electronic medical record‐verified hepatitis C virus screening in a large health system

2019 ◽  
Vol 8 (10) ◽  
pp. 4555-4564 ◽  
Author(s):  
Monica L. Kasting ◽  
Anna R. Giuliano ◽  
Richard R. Reich ◽  
Linh M. Duong ◽  
Julie Rathwell ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Health System ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Virus Screening

Electronic Medical Record Implementation Challenges for the National Health System in Greece

2018 ◽  
Vol 7 (1) ◽  
pp. 16-30 ◽  
Author(s):  
Dimitrios G. Katehakis
Keyword(s):  
Health System ◽  
Medical Record ◽  
Electronic Medical Record ◽  
National Health ◽  
National Health System ◽  
Public Hospitals ◽  
Medical Decision ◽  
Significant Information ◽  
Implementation Challenges ◽  
Clinically Significant

The purpose of this work is to expose challenges related to the implementation of quality electronic medical record (EMR) systems in public hospitals in Greece, a country where the national health system (NHS) has already acquired electronic medical records (EMRs). The level of EMR implementation, together with organizational maturity at a hospital level, are explored. What is discovered is that there are different adoption levels, not recorded in a systematic manner. The majority of physicians are either reluctant to implement EMRs or do not know options available to them. Implications include not continuous flow of events, cut off of critical information, lower quality of health services, patients not empowered to carry with them clinically significant information, unnecessary repetition of medical procedures and higher costs. It is concluded that focus should be paid on enabling the use of quality, interoperable and secure EMRs to better support medical decision, in an effort to improve the health of the population and to better control costs.

scholarly journals Development process of a mobile electronic medical record for nurses: a single case study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Danielle M. Vossebeld ◽  
Erik C. N. Puik ◽  
Joris E. N. Jaspers ◽  
Marieke J. Schuurmans
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Development Process ◽  
Single Case ◽  
Single Case Study

scholarly journals Linkage of whole genome sequencing with administrative health, and electronic medical record data for the study of autism spectrum disorder: Feasibility, Opportunities and Challenges

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Jennifer Brooks ◽  
Evdokia Anagnostou ◽  
Farah Rahman ◽  
Karen Tu ◽  
Lavnaya Uruthiramoorthy ◽  
...  
Keyword(s):  
Health System ◽  
Whole Genome Sequencing ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Administrative Data ◽  
Genome Sequencing ◽  
Health Data ◽  
Spectrum Disorder ◽  
Whole Genome ◽  
Administrative Health Data

IntroductionAutism Spectrum Disorder (ASD) is a neurodevelopmental disorder (NDD) that presents with a high degree of heterogeneity (e.g., co-occurrence of other NDDs and other co-morbid conditions), contributing to differential health system needs. Genetics are known to play an important role in ASD and may be associated with different disease trajectories. Objectives and ApproachIn this proof of principle project, our objective is to link >2,200 children with a confirmed diagnosis of a NDD from the Province of Ontario Neurodevelopmental (POND) Study to administrative health data and electronic medical record (EMR) data in order to identify subgroups of ASD with unique health system trajectories. POND includes detailed phenotype and whole genome sequencing (WGS) data. Identified subgroups will be characterized based on clinical phenotype and genetics. To meet this goal, consideration of WGS-specific privacy and data issues is needed to implement processes which are above and beyond traditional requirements for analyzing individual-level administrative health data. ResultsLinkage of WGS data with administrative health data is an emerging area of research. As such it has presented a number of initial challenges for our study of ASD. Privacy concerns surrounding the use of WGS data and rare-variant analysis are of particular importance. Practical issues required the need for analysts with expertise in administrative data, EMR data and genetic analyses, and specialized software and sufficient processing power to analyze WGS data. Transdisciplinary discussions of the scope and significance of research questions addressed through this linkage were crucial. The identification of genetic determinants of phenotypes and trajectories in ASD could support targeted early interventions; EMR linkage may inform algorithms to identify ASD in broader populations. These approaches could improve both patient outcome and family experience. Conclusion/ImplicationsAs the cost of genetic sequencing decreases, WGS data will become part of the routine clinical management of patients. Linkage of WGS, EMR and administrative data has tremendous potential that has largely not been realized; including population-level ASD research to improve our ability to predict long-term outcomes associated with ASD.

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