Enhancing Access to Standardized Clinical Application for Mobile Interfaces

Parashar, Hem Jyotsana; Sachdeva, Shelly; Batra, Shivani

doi:10.1007/978-3-642-37134-9_17

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…Simulator key software finds which key is pressed and released on touch screen virtually. [19]. Although the work is in very preliminary stage but results are promising.…”

Section: Current Status Of Standardized Ehr For Mobile Devicesmentioning

confidence: 95%

Usability and information retrieval issues for electronic healthcare record databases

Parashar

Sachdeva

Batra

et al. 2013

2013 Sixth International Conference on Contemporary Computing (IC3)

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Standardized Electronic Healthcare Records (EHRs) data have a complex structure. They are based on dual model approach where domain knowledge is saved as an archetype [1, 2]. It is technically very difficult to generate query language for medical expert to retrieve the data. It gives rise to issue of retrieval and usability of electronic healthcare records databases. To improve the retrieval process, Graphical User Interface (GUI) must be simplified. Other issues related with electronic healthcare record systems are mobility, reachability and optimal use of advancements in information technology. This paper highlights the problems and issues of electronic healthcare record systems. It investigates the available graphical user interfaces for electronic healthcare record databases and compares their usability. Finally, it presents the comparison of a graphical user interface for a standardized Electronic healthcare records application for various handheld mobile devices.

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“…Simulator key software finds which key is pressed and released on touch screen virtually. [19]. Although the work is in very preliminary stage but results are promising.…”

Section: Current Status Of Standardized Ehr For Mobile Devicesmentioning

confidence: 95%

Usability and information retrieval issues for electronic healthcare record databases

Parashar

Sachdeva

Batra

et al. 2013

2013 Sixth International Conference on Contemporary Computing (IC3)

Self Cite

View full text Add to dashboard Cite

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“…However, an EHR system is always distributed with heterogeneous components, each with different standard data [102], [106]. Linking EHRs with MH apps requires solving the problem of semantic integration and interoperability, because there is no universal standard or terminology [25]. Ahmadian et al [114] revealed that the diversified terminologies adopted by EHRs and CDSSs result in problems of semantic interoperability.…”

Section: ) Mh and Ehr Semantic Interoperabilitymentioning

confidence: 99%

“…Antón-Rodríguez et al [101] proposed an EHR system (EHRmobile) accessible from mobile devices, based on HL7-CDA R2 and DICOM standards and a MySQL database, for patients with mental disabilities. Parashar et al [25] built the mOpereffa Android-based mobile app. They designed the mobile user interface based on standard OpenEHR archetypes to ease subsequent integration with the EHR backend.…”

Section: ) Mh and Ehr Semantic Interoperabilitymentioning

confidence: 99%

“…IoT interoperability has been studied by researchers on many levels, such as devices, 24 middleware, 25,26 and services. 27 However, the semantic and linked data layers have received less consideration [67].…”

Section: ) Mh and The Wbanmentioning

confidence: 99%

“…These systems must work as a single unit. Using standards can handle this issue, but there is no unified standard [25]. Each component may have unique standards and terminology, with different characteristics and formats [202].…”

Section: A Mh and Ehr Challenges And Future Directionsmentioning

confidence: 99%

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Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges

et al. 2019

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The prevalence of diabetes is rising globally. Diabetes patients need continuous monitoring, and to achieve this objective, they have to be engaged in their healthcare management process. Mobile health (MH) is an information and communications technology trend to empower chronically ill patients in a smart environment. Discussing the current state of MH technologies is required in order to address their limitations. Existing review articles have evaluated the MH literature based on applicability and level of adoption by patients and healthcare providers. Most of these reviews asserted that MH apps and research have not reached a stable level yet. To the best of our knowledge, there is no clear description of solutions to these problems. In addition, no one has investigated and analyzed MH in its contextual environment in a detailed way. We conducted a comprehensive survey of MH research on diabetes management articles published between 2011 and September 27, 2017. In this survey, we discuss current challenges in MH, along with research gaps, opportunities, and trends. Our literature review searched three academic databases (ScienceDirect, IEEE Xplore, and SpringerLink). A total of 60 articles were analyzed, with 30% from ScienceDirect, 38% from IEEE Xplore, and 32% from SpringerLink. MH was analyzed in the context of the electronic health record (EHR) ecosystem. We consider dimensions such as clinical decision support systems, EHRs, cloud computing, semantic interoperability, wireless body area networks, and big data analytics. We propose specific metrics to analyze and evaluate MH from each of these dimensions. A comprehensive analysis of the literature from this viewpoint is valuable for both theoretical and developmental progress. This paper provides a critical analysis of challenges that have not been fully met and highlights directions for future research that could improve MH applicability. INDEX TERMS Mobile health, diabetes mellitus, electronic health record, cloud computing, clinical decision support system, big data analytics, wireless body area network, medical informatics.

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