Envisioning a Social-Health Information Exchange as a Platform to Support a Patient-Centered Medical Neighborhood: A Feasibility Study

Clinical decisions require timely availability of holistic patient health information including clinical, demographic, behavioral, and socioeconomic risk factors. Health information exchanges (HIEs) help bridge the technical and organizational divides between disparate Electronic health records (EHR) systems and facilitate the sharing of health information between providers and between patients and providers through collaborative governance, secure protocols, and interoperable standards. HIEs come in many varieties and can be highly complex, both technically and organizationally. This conceptual paper adopts a system of systems (SoS) framework from the systems engineering discipline to analyze and break down the complexity of HIEs. The mnemonic nature of the five characteristics of the Boardman and Sauser SoS Model (A for Autonomy, B for Belonging, C for Connectivity, D for Diversity, and E for Emergence) makes it easier to understand the intricacy of HIEs and helps remove the barriers to effective use of HIEs for care coordination, patient safety, and patient-centered care quality.

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Health Information Exchange in Memphis: Impact on the Physician-Patient Relationship

The Journal of Law Medicine & Ethics ◽

10.1111/j.1748-720x.2010.00465.x ◽

2010 ◽

Vol 38 (1) ◽

pp. 50-57 ◽

Cited By ~ 11

Author(s):

Mark E. Frisse

Keyword(s):

Health Care ◽

Health Information ◽

Support Groups ◽

Information Exchange ◽

Health Information Exchange ◽

Care Delivery ◽

Information Access ◽

Physician Patient Relationship ◽

Patient Centered ◽

Financing System

Patients and their physicians frequently make important health care decisions with incomplete information. Memory fails; records are incomplete; the onset of significant events is confused with other life stories; and even the most basic information about medications, laboratory tests, allergies, and problems is often the result of guesswork. As providers and as patients, we suffer because information vital to health care is not available when and where it is needed. Data required for care are dispersed across various settings and represented in a range of formats; incentives to bring these data together do not exist.In recent years, four specific approaches have emerged to address patient-centered information access. The first model attempts to consolidate all care into a single care delivery and financing system. This model — prevalent in many European countries — is to some degree extant at Kaiser-Permanente and other integrated care and financing systems. This model is ideal if and when one organization is responsible for all care delivery and financing. Such models present “one-stop shopping” for managing health information, coordinating care, communicating with providers and support groups, and ensuring both payment and accountability.

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Health informatics - Person-owned document repository for PHR applications and health information exchange

10.3403/30320689u ◽

2018 ◽

Keyword(s):

Health Information ◽

Information Exchange ◽

Health Informatics ◽

Health Information Exchange

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Maturity assessment of Kenya’s health information system interoperability readiness

BMJ Health & Care Informatics ◽

10.1136/bmjhci-2020-100241 ◽

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.

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