scholarly journals Intention to Use Behavioral Health Data from a Health Information Exchange: A Mixed Methods Study (Preprint)

10.2196/26746 ◽  
2020 ◽  
Author(s):  
Randyl A. Cochran ◽  
Sue S. Feldman ◽  
Nataliya V. Ivankova ◽  
Allyson G. Hall ◽  
William Opoku-Agyeman
Keyword(s):  
Mixed Methods ◽  
Behavioral Health ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Data ◽  
Mixed Methods Study ◽  
Intention To Use

scholarly journals Intention to Use Behavioral Health Data from a Health Information Exchange: A Mixed Methods Study (Preprint)

2020 ◽  
Author(s):  
Randyl A. Cochran ◽  
Sue S. Feldman ◽  
Nataliya V. Ivankova ◽  
Allyson G. Hall ◽  
William Opoku-Agyeman
Keyword(s):  
Behavioral Health ◽  
Health Information ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Health Data ◽  
Mixed Methods Study ◽  
Intention To Use ◽  
Coordinated Care ◽  
Related Information ◽  
Health Related

BACKGROUND Patients with co-occurring behavioral health and chronic medical conditions frequently overutilize inpatient hospital services. This pattern of overuse contributes to inefficient healthcare spending. These patients require coordinated care to achieve optimal health outcomes. However, the poor exchange of health-related information between various clinicians renders the delivery of coordinated care challenging. Health information exchanges (HIEs) facilitate health-related information sharing and have been shown to be effective in chronic disease management, but their effectiveness in the delivery of integrated care is less clear. It is prudent to consider new approaches to sharing both general medical and behavioral health information. OBJECTIVE We identified and described factors that influence the intention to use behavioral health information that is shared through HIEs. METHODS A mixed methods study consisting of two phases was conducted. A validated survey instrument was emailed to clinical and non-clinical staff in Alabama and Oklahoma. The survey captured information about the impact of predictors on the intention to use behavioral health data in clinical decision-making. Follow-up interviews were conducted with a subsample of participants to understand the survey results better. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data. Thematic analysis was used to identify themes from the interviews. RESULTS Sixty-two participants completed the survey. 62.91% of the participants were clinicians. Performance expectancy (β= .382, P= .01) and trust (β= .539, P= .00) predicted intention to use behavioral health information shared via HIEs. Interviewees expressed that behavioral health information could be useful in clinical decision-making. However, privacy and confidentiality concerns discourage sharing this information, and it is generally missing from the patient record altogether. The interviewees (n= 5) also stated that training for HIE use was not mandatory, and the training that was provided did not focus on the exchange of behavioral health information specifically. CONCLUSIONS Despite barriers, individuals are willing to use behavioral health information from HIEs if they believe that it will enhance job performance and if the information being transmitted is trustworthy. The findings contribute to our understanding of the role HIEs can play in delivering integrated care, particularly to vulnerable patients.

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 Creating A Validation Dataset to Test Record Linkage Algorithms in A Province-Wide South African Health Information Exchange

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Themba Mutemaringa ◽  
Alexa Heekes ◽  
Mariette Smith ◽  
Nicki Tiffin ◽  
Andrew Boulle
Keyword(s):  
Health Information ◽  
South African ◽  
Record Linkage ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Data ◽  
Validation Dataset ◽  
Probabilistic Algorithms ◽  
African Health ◽  
South African Health

IntroductionIncreasing use of digital medical records creates disparate data resources for the same health care client population; and harnessing the benefits of real-time health data requires effective data linkage. A South African Health Information Exchange (HIE) collates and links routine health data from multiple sources, running daily updates through an automated ETL process. Many existing deterministic and probabilistic algorithms link person-level data using demographic identifiers, and can be combined in an optimised methodological pipeline. The performance of such pipelines must be validated against known matched pairs. The HIE uses current algorithms for record linkage, but methods that rely on similar spelling, name frequency and phonetic matching have been optimised for non-African names, and are not as effective. ObjectivesWe assessed common problems arising in the linkage process in the HIE, using this information to compile a curated representative African validation database for optimising existing and new linkage pipelines. ResultsUsing current linkage algorithms, we have identified the proportion of duplicates in the last five years, ranging from 25% in 2015 and stabilising at 10% by 2019. Common causes of duplicates across the whole database include mismatch in first name (37%), surname (17%), date of birth (13%), sex (8%) and South African Identification Number (0.2%). Complications from new-born naming and records of twins affect >8% of all records, and temporary health identifiers assigned at birth, during emergency response, and during poor connectivity of facilities to the provincial patient master index affect 2% of records. ConclusionsBased on these data, we have constructed a South African-specific, representative validation dataset that contains linkage pairs that represent placeholder phrases for newborns prior to naming (e.g. “baby of”), language variations; twins; character insertions, substitution and omissions in names with similar spellings; frequencies of names in the general population; and similar-sounding names.

scholarly journals South African experience consolidating person-level health data for both service and research in a single environment

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Andrew Boulle ◽  
Alexa Heekes ◽  
Themba Mutemaringa ◽  
Mariette Smit ◽  
Rosemary Foster ◽  
...  
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Data Linkage ◽  
Health Information Exchange ◽  
Digital Health ◽  
Health Data ◽  
Data Availability ◽  
Functional Health ◽  
Data Centre ◽  
Single Well

IntroductionThere are few examples of functional health information exchange environments or data linkage centres in the African settings. New opportunities are emerging as unique health identifiers and patient registration systems are being established nationally in many countries, and increasingly individuated health data are available for linkage, often linked to priority global health initiatives such as to support HIV and tuberculosis services. Objectives and ApproachWe sought to establish a province-wide health information exchange and data centre for individuated health data, leveraging a unique identifier and available individuated data. The intention with the Provincial Health Data Centre (PHDC) was to create a single well-governed environment which could simultaneous fulfil the functions of an exchange directly supporting care, as well as support research requests. Often the demands of academics, funders and global agencies for reporting result in data consolidation for research and reporting taking precedence over service delivery. ResultsThrough pragmatic use of data from all sources, the PHDC is able to usefully enumerate many health conditions of interest with sufficient fidelity for both service and research purposes. For research data requests, there has been a huge improvement in data governance alongside increased data availability as a result of the single environment with clear procedures for patient protection, and the benefits of data linkage prior to anonymisation. Many of the inference approaches have benefited hugely from interactions with researchers, which has in turn improved the quality of outputs for routine care. Conclusion / ImplicationsIn maturing digital health environments which are establishing consolidated data environments for the first time, aspiring from the start to a single well-governed environment for both patient care and research, is a virtuous model with many benefits over fragmented data linkage efforts

Use of health information exchange in the continuity of care as viewed by patients and nurses (Preprint)

2019 ◽  
Author(s):  
Michal Itzhaki ◽  
Ella Koren ◽  
Khaled Abu Hussien ◽  
Liron Levy ◽  
Irit Gantz ◽  
...  
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Maintenance Organization ◽  
Personal Health Information ◽  
Direct Care ◽  
Intention To Use ◽  
Cross Sectional ◽  
Health Maintenance ◽  
Share Information

BACKGROUND Patients' attitudes towards sharing their personal health information are critical for implementation of Health Information Exchange (HIE). Nurses contribute significantly to information sharing within the care continuum in hospitals and community. OBJECTIVE The purpose of this study was to examine the awareness and readiness of patients and nurses to use HIE. METHODS A cross sectional study among 312 inpatients with a chronic illness, 110 nurses working in internal wards, and 55 contact nurses working in a large Health Maintenance Organization. Multiple linear regressions were performed to assess the associations between knowledge, attitudes, socio-demographics, and both the readiness and intention to use HIE. RESULTS Mean levels of awareness were low across all three groups. The readiness to share information with medical healthcare providers was higher than the readiness to share information with agents not involved in direct care. Contact nurses expressed a more positive attitude than internal ward nurses or patients and were more willing than patients to share information with health care workers. All nurses (Internal ward and contact) were more willing to share information with medical agents not involved in direct care as compared to patients. Contact nurses expressed a significantly greater intention to use HIE than did internal ward nurses or patients CONCLUSIONS Before implementation of an HIE system, it is important to raise awareness, readiness, and intention to use HIE among the general public, nurses, and other medical staff. Policy makers should organize national campaigns under the auspices of the Ministry of Health, in order to present the advantages of HIE and provide detailed information about the systems. CLINICALTRIAL None

scholarly journals Leveraging the Master Patient Index in Public Health Surveillance through Collaboration between Illinois Department of Public Health and the Illinois Health Information Exchange

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Stacey Hoferka ◽  
Ivan Handle ◽  
Steven Linthicum ◽  
Dejan Jovanov ◽  
William Trick ◽  
...  
Keyword(s):  
Public Health ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Data ◽  
Surveillance Systems ◽  
Department Of Health ◽  
Public Health Reporting ◽  
To Receive ◽  
Master Patient Index

In support of Meaningful Use public health reporting, health departments are expanding their capacity to receive electronic health data. The Illinois Department of Health is working with the Illinois Health Information Exchange to build services and applications to improve the quality and utility of surveillance data. The Master Patient Index is an innovative component of the technology that will integrate public health data across surveillance systems. This presentation will cover the application of the MPI to ambulatory syndromic surveillance as well as other surveillance systems and highlight potential use cases.

scholarly journals Use of Health Information Exchange in The Continuity of Care as Viewed by Patients and Nurses: A Cross Sectional Study

2020 ◽  
Author(s):  
Michal Itzhaki ◽  
Ella Koren ◽  
Khaled Abu Hussien ◽  
Liron Levy ◽  
Irit Gantz ◽  
...  
Keyword(s):  
Health Care ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Cross Sectional Study ◽  
Direct Care ◽  
Intention To Use ◽  
Sectional Study ◽  
Cross Sectional ◽  
Share Information

Abstract Background: Patients' attitudes towards sharing their personal health information are critical for implementation of Health Information Exchange (HIE). Nurses contribute significantly to information sharing within the care continuum in hospitals and community. The purpose of this study was to examine the awareness and readiness of chronic ill patients and nurses to use HIE.Methods: A cross sectional study among 312 inpatients with a chronic illness, 110 nurses working in internal wards, and 55 contact nurses working in a large Health Maintenance Organization. Multiple linear regressions were performed to assess the associations between knowledge, attitudes, socio-demographics, and both the readiness and intention to use HIE. Results: Mean levels of awareness were low across all three groups. The readiness to share information with medical healthcare providers was higher than the readiness to share information with agents not involved in direct care. Contact nurses expressed more positive attitudes than internal ward nurses or patients (F=11.25; p=.0001) and were more willing than patients to share information with health care workers (F=16.786; p=0001). All nurses (Internal ward and contact) were more willing to share information with medical agents not involved in direct care as compared to patients (F=8.072; p=.0001). Contact nurses expressed a significantly greater intention to use HIE than did internal ward nurses or patients (F=9.825; p=.0001), Knowledge, attitudes and being a nurse predicted the intention to share information on HIE with medical health care providers (F=29.91), and with agents not involved in direct care (F=19.65).Conclusions: Before implementation of an HIE system, it is important to raise awareness, readiness, and intention to use HIE among the general public, nurses, and other medical staff. Policy makers should organize national campaigns under the auspices of the Ministry of Health, in order to present the advantages of HIE and provide detailed information about the systems.

scholarly journals A Secure Protocol for Managing and Sharing Personal Healthcare Data

2020 ◽  
Author(s):  
Athanasios Kiourtis ◽  
Argyro Mavrogiorgou ◽  
Sofia-Anna Menesidou ◽  
Panagiotis Gouvas ◽  
Dimosthenis Kyriazis
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Data ◽  
Care Quality ◽  
Healthcare Organizations ◽  
Health Records ◽  
Healthcare Data ◽  
Software Applications ◽  
Secure Protocol

Current technologies provide the ability to healthcare practitioners and citizens, to share and analyse healthcare information, thus improving the patient care quality. Nevertheless, European Union (EU) citizens have very limited control over their own health data, despite that several countries are using national or regional Electronic Health Records (EHRs) for realizing virtual or centralized national repositories of citizens’ health records. Health Information Exchange (HIE) can greatly improve the completeness of patients’ records. However, most of the current researches deal with exchanging health information among healthcare organizations, without giving the ability to the citizens on accessing, managing or exchanging healthcare data with healthcare organizations and thus being able to handle their own data, mainly due to lack of standardization and security protocols. Towards this challenge, in this paper a secure Device-to-Device (D2D) protocol is specified that can be used by software applications, aiming on facilitating the exchange of health data among citizens and healthcare professionals, on top of Bluetooth technologies.

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