Pre-Processing Highly Sparse and Frequently Evolving Standardized Electronic Health Records for Mining

2021 ◽  
pp. 8-21
Author(s):  
Shivani Batra ◽  
Shelly Sachdeva
Keyword(s):  
Electronic Health Records ◽  
Data Model ◽  
Semantic Interoperability ◽  
Relational Model ◽  
Health Records ◽  
Related Information ◽  
Health Related ◽  
Electronic Health ◽  
Mining Tools ◽  
Attribute Value

EHRs aid in maintaining longitudinal (lifelong) health records constituting a multitude of representations in order to make health related information accessible. However, storing EHRs data is non-trivial due to the issues of semantic interoperability, sparseness, and frequent evolution. Standard-based EHRs are recommended to attain semantic interoperability. However, standard-based EHRs possess challenges (in terms of sparseness and frequent evolution) that need to be handled through a suitable data model. The traditional RDBMS is not well-suited for standardized EHRs (due to sparseness and frequent evolution). Thus, modifications to the existing relational model is required. One such widely adopted data model for EHRs is entity attribute value (EAV) model. However, EAV representation is not compatible with mining tools available in the market. To style the representation of EAV, as per the requirement of mining tools, pivoting is required. The chapter explains the architecture to organize EAV for the purpose of preparing the dataset for use by existing mining tools.

Electronic Health Record System using Blockchain

2019 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Sangeetha R ◽  
Harshini B ◽  
Shanmugapriya A ◽  
Rajagopal T.K.P.
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Family Health ◽  
Health Record ◽  
Medical Organization ◽  
Record System ◽  
Health Records ◽  
Related Information ◽  
Health Related ◽  
Electronic Health

This paper deals with the Electronic Health Records for storing information of the patient which consist of the medical reports. Electronic Health Records (EHRs) are entirely controlled by Hospitals instead of patients, which complicates seeking medical advices from different hospitals. In the existing system of storing details of the patients are very dependent on the servers of the organization. In the proposed all the information of the patient are stored in the blockchain by using the Metamask and these details are stored in the block chain as a blocks of data. Each block consists of the data which is encrypted data. Electronic Health Record (EHR) systems record health-related information on an individual so that it can be consulted by clinicians or staff for patient care. The data is encrypted by the algorithm known as SHA-256 which is used to encrypt all the data of the patients into a single line 256 bit encrypted text which will be stored in the block at etherscan. These records for not only useful for the consultation but also for creation of historic family health information tree that keeps track of genetic health issues and diseases it can also be used for any health service with the authorization from both the patient and medical organization.

scholarly journals Towards Semantic Interoperability for Electronic Health Records

2007 ◽  
Vol 46 (03) ◽  
pp. 332-343 ◽  
Author(s):  
P. Knaup ◽  
E. J. S. Hovenga ◽  
S. Heard ◽  
S. Garde
Keyword(s):  
Electronic Health Records ◽  
Domain Knowledge ◽  
Semantic Interoperability ◽  
Health Records ◽  
Face To Face ◽  
Telephone Interviews ◽  
Development Organisation ◽  
Knowledge Governance ◽  
Electronic Health ◽  
Definition Of

Summary Objectives: In the field of open electronic health records (EHRs), openEHR as an archetype-based approach is being increasingly recognised. It is the objective of this paper to shortly describe this approach, and to analyse how openEHR archetypes impact on health professionals and semantic interoperability. Methods: Analysis of current approaches to EHR systems, terminology and standards developments. In addition to literature reviews, we organised face-to-face and additional telephone interviews and tele-conferences with members of relevant organisations and committees. Results: The openEHR archetypes approach enables syntactic interoperability and semantic interpretability – both important prerequisites for semantic interoperability. Archetypes enable the formal definition of clinical content by clinicians. To enable comprehensive semantic interoperability, the development and maintenance of archetypes needs to be coordinated internationally and across health professions. Domain knowledge governance comprises a set of processes that enable the creation, development, organisation, sharing, dissemination, use and continuous maintenance of archetypes. It needs to be supported by information technology. Conclusions: To enable EHRs, semantic interoperability is essential. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability. However, without coordinated archetype development and maintenance, ‘rank growth’ of archetypes would jeopardize semantic interoperability. We therefore believe that openEHR archetypes and domain knowledge governance together create the knowledge environment required to adopt EHRs.

scholarly journals Identification of patients with hemoglobin SS/Sβ0 thalassemia disease and pain crises within electronic health records

2018 ◽  
Vol 2 (11) ◽  
pp. 1172-1179 ◽  
Author(s):  
Ashima Singh ◽  
Javier Mora ◽  
Julie A. Panepinto
Keyword(s):  
Electronic Health Records ◽  
Acute Care ◽  
Sensitivity And Specificity ◽  
Data Model ◽  
High Sensitivity ◽  
Common Data Model ◽  
Health Records ◽  
Key Points ◽  
Electronic Health

Key Points The algorithms have high sensitivity and specificity to identify patients with hemoglobin SS/Sβ0 thalassemia and acute care pain encounters. Codes conforming to common data model are provided to facilitate adoption of algorithms and standardize definitions for EHR-based research.

scholarly journals Measuring the quality and completeness of medication-related information derived from hospital electronic health records database

2019 ◽  
Vol 27 (4) ◽  
pp. 502-506 ◽  
Author(s):  
Monira Alwhaibi ◽  
Bander Balkhi ◽  
Thamir M. Alshammari ◽  
Nasser AlQahtani ◽  
Mansour A. Mahmoud ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Health Records ◽  
Related Information ◽  
Electronic Health

scholarly journals Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Jennifer F. Summers ◽  
Dan G. O’Neill ◽  
David Church ◽  
Lisa Collins ◽  
David Sargan ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Primary Care Practice ◽  
Care Practice ◽  
Health Records ◽  
Health Related ◽  
Electronic Health ◽  
The Uk

Creating personalised clinical pathways by semantic interoperability with electronic health records

2013 ◽  
Vol 58 (2) ◽  
pp. 81-89 ◽  
Author(s):  
Hua-Qiong Wang ◽  
Jing-Song Li ◽  
Yi-Fan Zhang ◽  
Muneou Suzuki ◽  
Kenji Araki
Keyword(s):  
Electronic Health Records ◽  
Clinical Pathways ◽  
Semantic Interoperability ◽  
Health Records ◽  
Electronic Health

Use and Reuse of Electronic Health Records

2015 ◽  
pp. 212-226
Author(s):  
Michele Ceruti ◽  
Silvio Geninatti ◽  
Roberta Siliquini
Keyword(s):  
Medical Records ◽  
Healthcare Services ◽  
Single Individual ◽  
Health Issues ◽  
Validity And Reliability ◽  
Health Records ◽  
Related Information ◽  
Large Populations ◽  
Health Related ◽  
Electronic Health

Electronic Health Record (EHR) is a term with several meanings, even if its very definition allows distinguishing it from other electronic records of healthcare interest, such as Electronic Medical Records (EMR) and Personal Health Records (PHR). EMR is the electronic evolution of paper-based medical records, while PHR is mainly the collection of health-related information of a single individual. All of these have many points in common, but the interchangeable use of the terms leads to several misunderstandings and may threaten the validity and reliability of EHR applications. EHRs are more structured and conform to interoperability standards, and include a huge quantity of data of very large populations. Thus, they have proven to be useful for both theoretical and practical purposes, especially for Public Health issues. In this chapter, the authors argue that the appropriate use of EHR requires a realistic comprehensive concept of e-health by all the involved professions. They also show that a change in the “thinking” of e-health is necessary in order to achieve tangible results of improvement in healthcare services through the use of EHR.

scholarly journals A Mechanism for Verifying the Integrity and Immutability of Tuberculosis Data Using IOTA Distributed Ledger Technology

2021 ◽  
Author(s):  
Vinícius Lima ◽  
Filipe Bernardi ◽  
Rui Rijo ◽  
Jó Ueyama ◽  
Domingos Alves
Keyword(s):  
Electronic Health Records ◽  
Digital Health ◽  
Health Records ◽  
Related Information ◽  
Research And Innovation ◽  
Distributed Ledger ◽  
Collective Process ◽  
Supporting Tool ◽  
Electronic Health ◽  
Digital Transactions

Background: Intensified research and innovation and rapid uptake of new tools, interventions, and strategies are crucial to fight Tuberculosis, the world’s deadliest infectious disease. The sharing of health data remains a significant challenge. Data consumers must be able to verify the consistency and integrity of data. Solutions based on distributed ledger technologies may be adequate, where each member in a network holds a unique credential and stores an identical copy of the ledger and contributes to the collective process of validating and certifying digital transactions. Objectives: This work proposes a mechanism and presents a use case in Digital Health to allow the verification of integrity and immutability of TB electronic health records. Methods: IOTA was selected as a supporting tool due to its data immutability, traceability and tamper-proof characteristics. Results: A mechanism to verify the integrity of data through hash functions and the IOTA network is proposed. Then, a set of TB related information systems was integrated with the network. Conclusion: IOTA technology offers performance and flexibility to enable a reliable environment for electronic health records.

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