Health informatics - Electronic health record communication

2019 ◽  
Keyword(s):  
Electronic Health Record ◽  
Health Informatics ◽  
Health Record ◽  
Electronic Health

The Electronic Health Record to Support Women's Health

2009 ◽  
pp. 65-76 ◽  
Author(s):  
Emma Parry
Keyword(s):  
Electronic Health Record ◽  
Women’S Health ◽  
Women's Health ◽  
Health Informatics ◽  
Clinical Information System ◽  
Future Research ◽  
Health Record ◽  
Data Accessibility ◽  
Middleware Technology ◽  
Electronic Health

The seamless electronic health record is often hailed as the holy grail of health informatics. What is an electronic health record? This question is answered and consideration is given to the advantages and disadvantages of an electronic health record. The place of the electronic health record at the centre of a clinical information system is discussed. In expanding on the advantages several areas are covered including: analysis of data, accessibility and availability, and access control. Middleware technology and its place are discussed. Requirements for implementing a system and some of the issues that can arise in the field of women’s health are elucidated. Finally, in this exciting and fast moving field, future research is discussed.

scholarly journals A tool to improve the efficiency and reproducibility of research using electronic health record databases

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Mohammad Al Sallakh ◽  
Sarah Rodgers ◽  
Ronan Lyons ◽  
Aziz Sheikh ◽  
Gwyneth Davies
Keyword(s):  
Electronic Health Record ◽  
Health Informatics ◽  
Query Language ◽  
Data Extraction ◽  
Building Blocks ◽  
Health Board ◽  
Health Record ◽  
Complex Data ◽  
Versatile Tool ◽  
Electronic Health

BackgroundInterrogation of electronic health record databases often involves time-consuming, manual, repetitive work in developing database queries. We developed a tool to automate this process. MethodsWe identified elementary approaches to query primary care data from the Secure Anonymised Information Linkage databank of Wales. We designed a web-based query builder that allows using combinations of these approaches as ‘building blocks’ to query complex variables. We created an R programme to automatically generate and execute the corresponding Structured Query Language queries. ResultsThe tool allows data extraction using combinations of the following methods: event count (e.g., asthma prescriptions); code/date of earliest/latest event; code/date/value of the event of maximum/minimum value; and frequency of temporally constrained events. Query intervals could be fixed, dynamic, or individualised. The tool integrates with a codeset repository. Data extraction procedures and codesets are saved on a web server as versioned, shareable, and citable objects. ConclusionThis versatile tool allows rapid and complex data extraction with minimal to no programming skills, reduces human errors, and improves research transparency and reproducibility. Funding/SupportHealth and Care Research Wales, ABMU Health Board, AUKCAR (AUK-AC-2012-01), Farr Institute of Health Informatics Research (MR/K006525/1-MR/K007017/1).

scholarly journals Health informatics support for outbreak management: How to respond without an electronic health record?

2020 ◽  
Vol 27 (11) ◽  
pp. 1828-1829
Author(s):  
Emmanuelle Sylvestre ◽  
René-Michel Thuny ◽  
Elsa Cecilia-Joseph ◽  
Papa Gueye ◽  
Cyrille Chabartier ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Health Informatics ◽  
Health Record ◽  
Outbreak Management ◽  
Electronic Health

Factors Related to Health Informatics Competencies for Nurses—Results of a National Electronic Health Record Survey

2019 ◽  
Vol 37 (8) ◽  
pp. 420-429 ◽  
Author(s):  
Ulla-Mari Kinnunen ◽  
Tarja Heponiemi ◽  
Elina Rajalahti ◽  
Outi Ahonen ◽  
Teija Korhonen ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Health Informatics ◽  
Health Record ◽  
Electronic Health
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