scholarly journals Data Incompleteness Preventing Information Communication from Hospital Information Systems to the Iranian National Electronic Health Record (SEPAS)

2021 ◽  
Vol 10 (1) ◽  
pp. 97
Author(s):  
Reza Abbasi ◽  
Reza Khajouei ◽  
Monireh Sadeghi Jabali ◽  
Moghadameh Mirzaei

Introduction: One of the well-known problems related to the information quality is the information incompleteness in health information systems. The purpose of this study was to investigate the completeness rate of patients’ information recorded in the hospital information system, sending information from which to Iranian electronic health record system (SEPAS) seemed to be unsuccessful.Methods: This study was conducted in six hospitals associated with Kerman University of Medical Sciences (KUMS) in Iran. In this study, 882 records which had failed to be sent from three hospital information systems to SEPAS were reviewed and the data were collected using a checklist. Data were analyzed using the descriptive and inferential statistics with SPSS.18.Results: A total of 18758 demographic and clinical information elements were examined. The rate of completeness was 55%. The highest completeness rate of demographic information was related to name, surname, gender, nationality, date of birth, father's name, marital status, place of residence, telephone number (79-100%), and in clinical information it was related to the final diagnosis (74%). The completeness rate of some information elements was significantly different among the hospitals (p <0.05). The completeness rate of information communicated to the Iranian national electronic health record was at a moderate level.Conclusion: This study showed that completeness rate is different among hospitals using the same hospital information system. The results of this study can help the health policymakers and developers of the national electronic health record in developing countries to improve completeness rate and also information quality in health information systems.

Author(s):  
Khin Than Win ◽  
Peter Croll

Effective and appropriate implementation of health information systems assists with an organization’s knowledge management. To enhance a user’s trustworthiness and full adoption, a health information system needs to be dependable. This chapter reviews the different development methodologies available for engineering dependable solutions and their application by citing two case studies as an example. Health information systems cover a diverse set of applications. The focus in this chapter is on the development of electronic health record systems, the importance of dependability, and the relationship between dependability and data quality of the health record systems.


2012 ◽  
Vol 03 (03) ◽  
pp. 318-325 ◽  
Author(s):  
S. Bornstein

SummaryAs legacy information systems age, transition to newer systems is inevitable, but at times fraught with challenge. This brief article addresses some of the pitfalls, challenges, and benefits we experienced at Kaiser Permanente as we transitioned several key clinical information systems to Epic Systems for our integrated comprehensive Electronic Health Record (EHR).


2009 ◽  
Vol 18 (01) ◽  
pp. 99-102
Author(s):  
A.-M. Rassinoux ◽  

Summary Objective To summarize current outstanding research in the field of knowledge representation and management. Methods Synopsis of the articles selected for the IMIA Yearbook 2009. Results Four excellent papers have been selected for the section knowledge representation and management. All these papers are concerned with terminological systems whether it is to detect equivalent concept definitions, to structure narratives, to compare existing lay and professional terms or to reformulate the SNOMED’s logical formalism towards a more expressive language. Conclusion The ability of one computer system to access and use the resources of another system becomes crucial in a world where the amount of electronically stored data increases continuously. The selected papers for the section knowledge representation and management corroborate that interoperable medical terminologies play a growing and strategic role in Electronic Health Record (EHR) systems. Indeed, they allow data in clinical systems to be defined in a more uniform and granular manner, thus leading to flexible, semantically interoperable and trust-worthy health information systems.


2010 ◽  
Vol 36 (2) ◽  
pp. 437-450 ◽  
Author(s):  
Georgios Konstantinidis ◽  
George C. Anastassopoulos ◽  
Alexandros S. Karakos ◽  
Emmanouil Anagnostou ◽  
Vasileios Danielides

Author(s):  
Dr.J.Chenni Kumaran ◽  
Antony Eric Machado ◽  
Dharanidharan R ◽  
Rishi Johnson Bose

Blockchain had been an exciting studies vicinity for a long term and the advantages it gives had been utilized by some of diverse industries. Similarly, the healthcare zone stands to advantage immensely from the blockchain generation because of protection, privacy, confidentiality and decentralization. Nevertheless, the Electronic Health Record (EHR) structures face issues concerning records protection, integrity and management. In this paper, we speak how the blockchain generation may be used to convert the EHR structures and might be an answer of those issues. We gift a framework that would be used for the implementation of blockchain generation in healthcare zone for EHR. The goal of our proposed framework is first off to put into effect blockchain generation for EHR and secondly to offer stable garage of digital facts via way of means of defining granular get entry to guidelines for the customers of the proposed framework. Moreover, this framework additionally discusses the scalability trouble confronted via way of means of the blockchain generation in preferred through use of off-chain garage of the facts. This framework gives the EHR device with the advantages of getting a scalable, stable and imperative blockchain-primarily based totally answer with use of sha256 hashing algorithm.


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