Sensed Data Sharing in Cloud Federation for Advances in Health Information Exchange

2013 ◽  
Vol 3 (4) ◽  
pp. 36-50
Author(s):  
Antonio Celesti ◽  
Maria Fazio ◽  
Antonio Puliafito ◽  
Massimo Villari
Keyword(s):  
Data Model ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Distributed Approach ◽  
Efficient Management ◽  
Sensing Systems ◽  
New Information ◽  
Open Source Framework ◽  
Administrative Domains

In this paper the authors focus on sensing systems supporting data exchange among several healthcare administrative domains. The challenge in this area is twofold: efficient management of a huge amount of data produced by medical devices, bio-sensors and information systems, sharing sensed data for scientific and clinical purposes. The authors present a new information system that exploits Cloud computing capabilities to overcome such issues, also guaranteeing patients' privacy. Their proposal integrates different healthcare institutions into a federated environment, thus establishing a trust context among the institutions themselves. The storage service is designed according to a fully distributed approach and it is based on the wide-used Open Source framework Hadoop, which is enriched to establish a compelling federated system. They adopt the XRI technology to formalize an XML-based data model which allows to simplify the classification, searching and retrieval of medical data.

scholarly journals Maturity assessment of Kenya’s health information system interoperability readiness

2021 ◽  
Vol 28 (1) ◽  
pp. e100241
Author(s):  
Job Nyangena ◽  
Rohini Rajgopal ◽  
Elizabeth Adhiambo Ombech ◽  
Enock Oloo ◽  
Humphrey Luchetu ◽  
...  
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Working Group ◽  
Data Exchange ◽  
Enterprise Architecture ◽  
Health Information Exchange ◽  
Digital Health ◽  
Health Information System ◽  
Maturity Level ◽  
Technical Standards

BackgroundThe use of digital technology in healthcare promises to improve quality of care and reduce costs over time. This promise will be difficult to attain without interoperability: facilitating seamless health information exchange between the deployed digital health information systems (HIS).ObjectiveTo determine the maturity readiness of the interoperability capacity of Kenya’s HIS.MethodsWe used the HIS Interoperability Maturity Toolkit, developed by MEASURE Evaluation and the Health Data Collaborative’s Digital Health and Interoperability Working Group. The assessment was undertaken by eHealth stakeholder representatives primarily from the Ministry of Health’s Digital Health Technical Working Group. The toolkit focused on three major domains: leadership and governance, human resources and technology.ResultsMost domains are at the lowest two levels of maturity: nascent or emerging. At the nascent level, HIS activities happen by chance or represent isolated, ad hoc efforts. An emerging maturity level characterises a system with defined HIS processes and structures. However, such processes are not systematically documented and lack ongoing monitoring mechanisms.ConclusionNone of the domains had a maturity level greater than level 2 (emerging). The subdomains of governance structures for HIS, defined national enterprise architecture for HIS, defined technical standards for data exchange, nationwide communication network infrastructure, and capacity for operations and maintenance of hardware attained higher maturity levels. These findings are similar to those from interoperability maturity assessments done in Ghana and Uganda.

hData - A Simple XML Framework for Health Data Exchange

2009 ◽  
Author(s):  
Gerald Beuchelt ◽  
Harry Sleeper ◽  
Andrew Gregorowicz ◽  
Robert Dingwell
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Health Data ◽  
Care Providers ◽  
Future Health ◽  
Data Interoperability ◽  
History Of ◽  
Electronic Health

Health data interoperability issues limit the expected benefits of Electronic Health Record (EHR) systems. Ideally, the medical history of a patient is recorded in a set of digital continuity of care documents which are securely available to the patient and their care providers on demand. The history of electronic health data standards includes multiple standards organizations, differing goals, and ongoing efforts to reconcile the various specifications. Existing standards define a format that is too complex for exchanging health data effectively. We propose hData, a simple XML-based framework to describe health information. hData addresses the complexities of the current HL7 Clinical Document Architecture (CDA). hData is an XML design that can be completely validated by modern XML editors and is explicitly designed for extensibility to address future health information exchange needs. hData applies established best practices for XML document architectures to the health domain, thereby facilitating interoperability, increasing software developer productivity, and thus reducing the cost for creating and maintaining EHR technologies.

scholarly journals What Affects Clinicians’ Usage of Health Information Exchange?

2011 ◽  
Vol 02 (03) ◽  
pp. 250-262 ◽  
Author(s):  
L. Volk ◽  
S. Simon ◽  
D. Bates ◽  
R. Rudin
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Healthcare Providers ◽  
Care Quality ◽  
Time Savings ◽  
And Training ◽  
Exchange Health Information

SummaryBackground: The ability to electronically exchange health information among healthcare providers holds enormous promise to improve care coordination and reduce costs. Provider-to-provider data exchange is an explicit goal of the American Recovery and Reinvestment Act of 2009 and may be essential for the long-term success of the Affordable Care Act of 2010. However, little is known about what factors affect clinicians’ usage of health information exchange (HIE) functionality.Objective: To identify factors that affect clinicians’ HIE usage - in terms of frequency of contributing data to and accessing data from aggregate patient records - and suggest policies for fostering its usage.Methods: We performed a qualitative study using grounded theory by interviewing clinician-users and HIE staff of one operational HIE which supported aggregate patient record functionality. Fifteen clinicians were interviewed for one hour each about what factors affect their HIE usage. Five HIE staff were asked about technology and training issues to provide context. Interviews were recorded, transcribed and analyzed. Recruitment excluded clinicians with little or no familiarity with the HIE and was restricted to one community and a small number of specialties.Results: Clinicians were motivated to access the HIE by perceived improvements in care quality and time savings, but their motivation was moderated by an extensive list of factors including gaps in data, workflow issues and usability issues. HIE access intensities varied widely by clinician. Data contribution intensities to the HIE also varied widely and were affected by billing concerns and time constraints.Conclusions: Clinicians, EHR and HIE product vendors and trainers should work toward integrating HIE into clinical workflows. Policies should create incentives for HIE organizations to assist clinicians in using HIE, develop measures of HIE contributions and accesses, and create incentives for clinicians to contribute data to HIEs.

OBDMR: An Ontology-Based Data Model for Railways

2020 ◽  
Vol 17 (1) ◽  
pp. 273-283
Author(s):  
Kumar Abhishek ◽  
M. P. Singh ◽  
Deepika Shukla ◽  
Sachin Gupta
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Current Data ◽  
Generic Model ◽  
Data Interoperability ◽  
Data Resource ◽  
Railway Systems ◽  
New Information ◽  
Railway System ◽  
The Given

The domain of the railway system is vast and complex since it includes several sub-domains hierarchy in it. These sub-domains include different branches of technology and operational hierarchy. Many types of research are running on and have happened in this vast domain along with different technologies. Among all available technologies ontology is the single one which talks about semantics and thus supports the decision support system. This paper proposes an OBDMR model for railway systems to integrate the information at the knowledge level. The paper has used railML (version 2.2) as a data resource as railML covers all the aspects of the railway system. railML (Railway Mark-up Language) is an open, XML-based data exchange format for data interoperability of railway application. The proposed ontology adds the semantics to the given data and even allows to infer new information from current data which XML cannot do. OBDMR is capable of taking decisions by automated reasoning using software agents. A generic model proposed in this paper satiates the standards and specifications of most countries’ railway systems. A use-case for Indian Railways is discussed with some examples.

Design and Establishment of Information Exchange Standard on Campus

2014 ◽  
Vol 513-517 ◽  
pp. 1294-1298 ◽  
Author(s):  
Si Si Shen ◽  
Ai Xia Ding
Keyword(s):  
Data Model ◽  
Information Exchange ◽  
Data Exchange ◽  
Current Practice ◽  
Digital Campus ◽  
Xml Data ◽  
Data Standard ◽  
Data Interchange ◽  
Standard Construction ◽  
Key Technologies

Exchanging and sharing information are the basic request for the Digital Campus. To deal with the current problems of information sharing and integration, the content and framework of the universal data interchange platform are introduced in terms of the categories of processes and the layers of information exchange. And a data interchange model was developed to elaborate the data exchange between different departments on campus. Four key technologies, such as XML data model, XML data hybrid storage, data standard construction and data import & export module are presented so as to define the implementation and exchange paths. The current practice of implement the exchange standards and future study are also discussed.

scholarly journals DITAS: An Integrated Gateway to E-health Communications

2021 ◽  
Author(s):  
Ehsan Bitaraf ◽  
Fatemeh Sarani Rad ◽  
Maryam Jafarpour ◽  
Vajiheh Jami ◽  
Ebrahim Keshavarz Safari ◽  
...  
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Improve Treatment ◽  
Treatment Processes ◽  
Communication Processes ◽  
Health Related ◽  
Demand For Health

Today, the demand for health-oriented systems to facilitate and improve treatment processes is growing. For different information systems with different structures and technologies to be able to communicate with each other, a single gateway is required. The gateway acts as an interface between information systems and unifies protocols, rules, and standards related to communication processes. Health-related systems need a unique regulator that explains data models, coding, and data exchange structures. Moreover, the gateway has control over information systems and the data transmitted between them. In this paper, we explain an integrated gateway of health information exchange named DITAS which is a bridging point between health-related systems.

scholarly journals Population Health Informatics Can Advance Interoperability: National Program of Cancer Registries Electronic Pathology Reporting Project

2020 ◽  
pp. 985-992
Author(s):  
Lori A. Pollack ◽  
Sandra F. Jones ◽  
Wendy Blumenthal ◽  
Temitope O. Alimi ◽  
David E. Jones ◽  
...  
Keyword(s):  
Information Exchange ◽  
Health Informatics ◽  
Data Exchange ◽  
Health Information Exchange ◽  
National Laboratory ◽  
Cancer Registries ◽  
Clinical Settings ◽  
National Program ◽  
Cancer Data ◽  
Cancer Registry Data

PURPOSE Given the reach, breadth, and volume of data collected from multiple clinical settings and systems, US central cancer registries (CCRs) are uniquely positioned to test and advance cancer health information exchange. This article describes a current Centers for Disease Control and Prevention (CDC) National Program of Cancer Registries (NPCR) cancer informatics data exchange initiative. METHODS CDC is using an established cloud-based platform developed by the Association of Public Health Laboratories (APHL) for national notifiable disease reporting to enable direct transmission of standardized electronic pathology (ePath) data from laboratories to CCRs in multiple states. RESULTS The APHL Informatics Messaging Services (AIMS) Platform provides an infrastructure to enable a large national laboratory to submit data to a single platform. State health departments receive data from the AIMS Platform through a secure portal, eliminating separate data exchange routes with each CCR. CONCLUSION Key factors enabling ePath data exchange from laboratories to CCRs are having established cancer registry data standards and using a single platform/portal to reduce data streams. NPCR plans to expand this approach in alignment with ongoing cancer informatics efforts in clinical settings. The 50 CCRs supported by NPCR provide a variety of scenarios to develop and disseminate cancer data informatics initiatives and have tremendous potential to increase the implementation of cancer data exchange.

Health Information Exchange in Practice

2019 ◽  
pp. 264-280
Author(s):  
Mark E. Frisse ◽  
Karl E. Misulis
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Healthcare Delivery ◽  
Health Record ◽  
Healthcare Data ◽  
Electronic Health ◽  
Alternative Settings ◽  
Collaborative Efforts

Even when restricting the focus of care to hospitals and ambulatory clinics, most individuals seek care from many practitioners operating in different locations and often employing different electronic health records. Early efforts at creating interoperable data exchange among these systems have often disappointed users and administrators. Effective collaboration is a prerequisite for effective healthcare delivery. Even if using different EHRs, every clinician and caregiver should share a common clinical record set and means of communicating to other providers. Recent collaborative efforts among major electronic health record vendors are simplifying exchange of information among hospitals and large clinics, but they have not yet sufficiently addressed the necessary broader exchange of healthcare data among the caregivers in alternative settings and in the home.

scholarly journals One country's journey to interoperability: Tanzania's experience developing and implementing a national health information exchange

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alpha Nsaghurwe ◽  
Vikas Dwivedi ◽  
Walter Ndesanjo ◽  
Haji Bamsi ◽  
Moses Busiga ◽  
...  
Keyword(s):  
Supply Chain ◽  
Health Information ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Data Availability ◽  
Health Management Information System ◽  
Significant Time ◽  
Time Investment ◽  
Step Procedure

Abstract Background Robust, flexible, and integrated health information (HIS) systems are essential to achieving national and international goals in health and development. Such systems are still uncommon in most low and middle income countries. This article describes a first-phase activity in Tanzania to integrate the country’s vertical health management information system with the help of an interoperability layer that enables cross-program data exchange. Methods From 2014 to 2019, the Tanzanian government and partners implemented a five-step procedure based on the “Mind the GAPS” (governance, architecture, program management, and standards) framework and using both proprietary and open-source tools. In collaboration with multiple stakeholders, the team developed the system to address major data challenges via four fully documented “use case scenarios” addressing data exchange among hospitals, between services and the supply chain, across digital data systems, and within the supply chain reporting system. This work included developing the architecture for health system data exchange, putting a middleware interoperability layer in place to facilitate the exchange, and training to support use of the system and the data it generates. Results Tanzania successfully completed the five-step procedure for all four use cases. Data exchange is currently enabled among 15 separate information systems, and has resulted in improved data availability and significant time savings. The government has adopted the health information exchange within the national strategy for health care information, and the system is being operated and managed by Tanzanian officials. Conclusion Developing an integrated HIS requires a significant time investment; but ultimately benefit both programs and patients. Tanzania’s experience may interest countries that are developing their HIS programs.

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