mEMR: A Secure Mobile Platform Integrated with Electronic Medical Records

Haque, Waqar; Horvat, Dan; Verhelst, Leon

doi:10.1007/978-3-319-05948-8_14

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…Related work Four our surprise, there are not much works that address the problem of secure electronic medical records in a mobile scenario. Haque et al [9] recently proposed a platform to secure communication between mobile devices and EMR systems. A web XML-based CDA prototype was proposed by Paterson et al [17] to move discharge summaries from hospitals to family practice locations.…”

Section: A Backgroundmentioning

confidence: 99%

A secure mobile system to interchange electronic medical records in HL7

Sierra

Torres

Camargo

2014

2014 9th Computing Colombian Conference (9CCC)

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Electronic medical records are a very important asset that must be secured in such a way that only patients and authorized personal can access them. The HL7 (Health Level 7) is a set of standards to transfer clinical and administrative data among hospital information systems. One of the main concerns of interchanging medical information is related to security.A system that transfers medical information needs to be secured to avoid information disclosure. The increasing use of mobile devices arises different challenges in terms of information security. Access to clinical information from a mobile device requires security mechanisms that allow to guarantee confidentiality, integrity and availability. In this paper we built a system prototype in which electronic health records can be interchanged between a mobile device and a medical information system in a secure way. Results show that health records can be properly secured in a mobile scenario with good performance in terms of computational resources.

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Section: A Backgroundmentioning

confidence: 99%

A secure mobile system to interchange electronic medical records in HL7

Sierra

Torres

Camargo

2014

2014 9th Computing Colombian Conference (9CCC)

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“…The private key is used to encrypt and public key to decrypt. Haque et al (2014), asserted cryptographic system should be used to secure communication between mobile devices and the electronic medical recording scheme. Symmetric and asymmetric cryptography are used for secure data communication across networks.…”

Section: Application Of Cryptography To Healthmentioning

confidence: 99%

Patient Data Integration: A Panacea for Effective Healthcare

Okemiri¹,

Rita²,

Isaiah³

et al. 2020

Journal of Computer Science

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A huge challenge in the healthcare domain has remained the spread and proliferation of fragmented information systems and multiplicity of data that accumulate from growing quantities of heterogeneous data of patient. This challenge must be addressed as the whole domain gradually transforms into models of delivery of healthcare that is electronic and patient-centered. The presence of inadequate data integration at various levels incapacitates medical personnel from building a wholesome and total understanding of patient condition. In this paper, an integration platform called Integrated Patient Management System (IPMIS) for managing clinical and historical information for patients is incorporated. Previous systems could not undertake the problems like; delay in treatment of patients in cases of emergencies, wrong prescription of drugs due to wrong diagnosis as a result of unavailability of patients' history, lack of health data interoperability and loss of life. Seeking solution to the above problems led to the development of an Integrated Patient Management Information System (IPMIS) that enables patient clinical data sharing, provides streamlined operations, enhances administration and control, permits superior patient care and continuity of treatment, and improved decision making for healthcare institution. This paper enhances patient's referral, with a messaging system that alerts the hospital which the patient has been referred to and also the patient that is referred. The development of the system helps to collate patient's data that are disparately located to a centralized data base for efficient interoperability of care. It also helps for the interoperability of multiple hospitals for effective patient management. The new system enables and provides timely patient health record information sharing where it is need and when it is needed in cases of emergencies, referrals or continuity of treatment and it is presently being used in a federal teaching hospital in Nigeria.

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“…In addition, the collected data from IoT devices must be standardized, compatible, and semantically consistent with the patient's EHR data to preserve the meaning of the integrated data. MH and sensor-collected data can be added to the EHR, or a gateway can be used with a standard interface (e.g., HL7 CDA) to communicate different types of data [98]. Khan et al [175] proposed Adapter Interoperability Engine (ARIEN) as a middleware gateway among EHRs to provide semantic mapping between different standards using the Mediation Bridge Ontology (MBO); this centralized middleware has many limitations, and it was improved with distributed middleware by Lomotey and Deters [176].…”

Section: ) Mh and Ehr Semantic Interoperabilitymentioning

confidence: 99%

“…This facilitated seamless exchange of EHR data. HL7 developed CDA to semantically exchange messages between heterogeneous EHR systems; Haque et al [98] used this format to propose a framework where mobile apps send and receive secure CDA messages to/from EHRs.…”

Section: ) Mh and Ehr Semantic Interoperabilitymentioning

confidence: 99%

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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mEMR: A Secure Mobile Platform Integrated with Electronic Medical Records

Cited by 3 publications

References 3 publications

A secure mobile system to interchange electronic medical records in HL7

A secure mobile system to interchange electronic medical records in HL7

Patient Data Integration: A Panacea for Effective Healthcare

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

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