The Nationwide Health Information Network: The Case of the Expansion of Health Information Exchanges in the United States

The Nationwide Health Information Network (NHIN) implemented secure exchange of health records through utilization of the Internet. NHIN has greatly assisted in achieving the goals of the HITECH Act by promoting the adoption of Meaningful Use. Epic introduced a Health Information Exchange (HIE) platform, Care Everywhere (CE), which has facilitated HIE availability. The purpose of this research was to determine the impact of NHIN and Epic Care’s CE on healthcare to determine whether their use in the ED has increased. The methodology for this study utilized a literature review. Twenty-nine sources were referenced for this study. With the NHIN implementation, repeated visits were decreased, visit times become faster, and charges were lower. ED reported significant benefits with sharing clinical information. NHIN implementation throughout the ED has increased the quality of healthcare; duplicated tests and drug usage were determined, and a reduction of the ED length of stay was also achieved

Consumer Empowerment in Healthcare Information Exchange: An Investigation Using the Grounded Theory Approach

Emerging technological innovations such as personal health records (PHRs), electronic health records (EHRs) and the nationwide health information network (NHIN) provide the ability to increase the sharing of medical records among healthcare stakeholders. The goal of these innovations is to improve the quality of human healthcare by accessing medical information at the point of care and decreasing medical errors. Technology allows for widespread access to patient medical information, giving providers a comprehensive view of a patient's medical history so that they can make better decisions. The capability to use technology to electronically exchange medical records is called Healthcare Information Exchange (HIE). Recent studies have shown that patients want more control over their medical records. HIE technology can allow patients to control their medical records. Because patients often have chronic illnesses and can be transient when using different providers for care, HIE technology can support patient access and control over the sharing of their medical information between doctors. Therefore, the concern for patient empowerment has emerged within the healthcare community's discussions on HIE technology and policy efforts. A careful review of the literature shows that there is no existing theory of consumer empowerment in HIE, therefore a qualitative approach was utilized. There are two phases to this study: the first reveals the dimensions of consumer empowerment through discussions of United States federal and state empowerment groups as well as individual everyday consumers who do not work in healthcare or information technology fields. Through this investigation of the quest for consumer empowerment in HIE, it was found that Consumer Confidence in HIE, Fairness in HIE, and Consumer Commitment and Engagement in HIE are three dimensions that support consumer empowerment in HIE. These dimensions foundational to the second phase, which describes ways that consumer empowerment may be achieved in HIE. A theory is generated which can aid practitioners in developing and implementing appropriate HIE policy and technology. Academicians can build upon this theory for future research in areas such as incorporating consumer input into HIE technology systems analysis and design and examining the success of initiatives to achieve consumer empowerment in HIE

Barriers and facilitators to health information exchange in low- and middleincome country settings:: a systematic review protocol

<h2>Introduction</h2><p>The ability to capture, exchange and use accurate information about patients and services is vital for building strong health systems, providing comprehensive and integrated patient care, managing public health risks and informing policies for public health and health financing. However, the organisational and technological systems necessary to achieve effective Health Information Exchange are lacking in many low- and middle-income countries (LMIC). Developing strategies for addressing this depends on understanding the barriers and facilitators to HIE at the individual, provider organisational, community, district, provincial and national levels. This systematic review aims to identify, critically appraise and synthesise the existing published evidence addressing these factors.</p><h2>Objective</h2><p>To assess what is known, from published / unpublished empirical studies, about barriers and facilitators to HIE in LMIC so as to identify issues that need to be addressed and approaches that can fruitfully be pursued in future improvement strategies.</p><h2>Methods</h2><p>We will conduct a systematic review to identify the empirical evidence base on the barriers and facilitators to HIE in LMIC.  Two reviewers will independently search 11 major international and national databases for published, unpublished and in-progress qualitative, quantitative and mixed methods studies published during 1990-July 2014 in any language. These searches of scientific databases will be supplemented by looking for eligible reports available online. The included studies will be independently critically appraised using the Mixed Method Appraisal Tool (MMAT), version 2011. Descriptive, narrative and interpretative synthesis of data will be undertaken.   </p><h2>Results</h2><p> These will be presented in a manuscript that will be published in the peer-reviewed literature. The protocol is registered with the International Prospective Register for Systematic Reviews (PROSPERO) CRD 42014009826</p

Electronic Health Records Functionalities and Quality of Care: Conceptual Model and Research Agenda

There currently exists a rich stream of literature dedicated to exploring how different electronic health records (EHR) functionalities, such as Clinical Decision Support Systems (CDSS), Computerized Physician Order Entry (CPOE), and Health Information Exchange (HIE), improve various aspects of hospital performance. The purpose of this work is to summarize current state of the art and present a conceptual model that demonstrates dependencies between different functionalities of EHR and their impact on healthcare quality measures. In addition, we are creating a research agenda for future studies. We searched studies published between 2010 and 2020 in databases such Business Complete Source, Web of Science, and Google Scholars. Our initial search covers 52 studies published in journals such as Information Systems Journal, Health Affairs, Journal of Health Economics, Production and Operations Management, Decision Support Systems, Management Science, Journal of Operations Management, and others. We are also using a snowball sampling to identify more studies for our conceptual model. Identified studies indicated the relationships between different functionalities of EHR and various measures of quality of care. We used Donabedian’s (2005) approach of evaluating the quality of care to classify different areas in hospital improvements that we identified in our literature review. Donabedian’s framework categorizes quality of care measures by three groups: structure, process, and outcomes. Structural measures reflect the context in which healthcare service are delivered. These are mainly physical and organizational characteristics of hospitals. Furthermore, process measures reflect the interactions between patients and health providers. These measures demonstrate how care is delivered and the manner is which care is delivered. Finally, outcome measures indicate the impact of healthcare services on patients’ health status. Our conceptual model delineates the relationship between EHR functionalities, such as CPOE, CDSS, and HIE, and different structural measures (healthcare spending, return on investment, hospital efficiency, patient safety events), process measures (healthcare delivery, productivity of healthcare providers, patient care coordination, process compliance), and outcome measures (readmissions, patient mortality, patient morbidity, and patient satisfaction). Various theoretical perspectives were used to guide most of the studies: transaction cost economics, dynamic capabilities, resource-based view, task-technology fit theory, cybernetic control theory, information processing theory, agency theory, adaptive structuration theory, and others. We conclude this conceptual work by presenting a research agenda for future theoretical and empirical studies

Facilitating health information exchange in low- and middle-income countries: conceptual considerations, stakeholders perspectives and deployment strategies illustrated through an in-depth case study of Pakistan

Background Health information exchange (HIE) may help healthcare professionals and policymakers make informed decisions to improve patient and population health outcomes. There is, however, limited uptake of HIE in many low- and middle-income countries (LMICs). While resource constraints are an obvious barrier to implementation of HIE, it is important to explore what other political, structural, technical, environmental, legal and cultural factors may be involved. In particular, it is necessary to understand associated barriers in relation to context-specific HIE processes and deployment strategies in LMICs with a view to discovering how these can be overcome. My home country Pakistan is currently struggling to implement HIE at scale and so I undertook a detailed investigation of these issues in the context of Pakistan to generate insights on how best to promote uptake of HIE in Pakistan and in LMICs more generally. Aims The concept of HIE is evolving both over time and by context. To gain a clearer understanding of this terrain, I began by identifying different definitions of HIE in the literature to understand how these had evolved and the underlying conceptual basis for these changes. Second, I sought to understand the barriers and facilitators to the implementation and adoption of HIE in LMICs. Building on this foundational work, I then sought to explore and understand in-depth stakeholders perspectives on the context of and deployment strategies for HIE in Pakistan with a view to also identifying potentially transferable lessons for LMICs. Methods I undertook a phased programme of work. Phase 1 was a scoping review of definitions, which involved systematically searching the published literature in five academic databases and grey literature using Google to identify published definitions of HIE and related terms. The searches covered the period from January 1900 to February 2014. The included definitions were thematically analysed. In Phase 2, to identify barriers and facilitators to HIE in LMICs, I conducted a systematic review and searched for published and on-going (conference papers and abstracts) qualitative, quantitative and mixed-method studies in 11 academic databases and looked for unpublished work through Google interface from January 1990 to July 2014. Eligible studies were critically appraised and then thematically analysed. Finally, in Phase 3 I conducted a case study of HIE in Pakistan. Data collection comprised of interviews of different healthcare stakeholders across Pakistan to explore attitudes to HIE, and barriers and facilitators to its deployment. I also collected evidence through observational field notes and by analysing key international, national and regional policy documents. I used a combination of deductive thematic analysis informed by the theory of Diffusion of Innovations in Health Service Organisations that highlighted attributes of the innovation, the behaviour of adopters, and the organisational and environmental influences necessary for the success of implementation; and a more inductive iterative thematic analysis approach that allowed new themes to evolve from the data. The findings from these three phases of work were then integrated to identify potentially transferable lessons for Pakistan and other LMICs. Results In Phase 1, a total of 268 unique definitions of HIE were identified and extracted: 103 from scientific databases and 165 from Google. Eleven attributes emerged from the analysis that characterised HIE into two over-riding concepts. One was the ‘process’ of electronic information transfer among various healthcare stakeholders and the other was the HIE ‘organisation’ responsible to oversee the legal and business issues of information transfer. The results of Phase 1 informed the eligibility criteria to conduct Phase 2, in which a total of 63 studies met the inclusion criteria. Low importance given to data informed decision making, corruption and insecurity, lack of training, lack of equipment and supplies, and lack of feedback were considered to be major challenges to implementing HIE in LMICs, but strong leadership and clear policy direction coupled with the financial support to acquire essential technology, provide training for staff, assessing the needs of individuals and data standardisation all promoted implementation. The results of Phases 1 and 2 informed the design and content of Phase 3, the Pakistan case study. The complete dataset comprised of 39 interviews from 43 participants (including two group interviews), field observations, and a range of local and national documents. Findings showed that HIE existed mainly in/among some hospitals in Pakistan, but in a patchy and fragmented form. The district health information system was responsible for electronically transferring statistical data of public health facilities from districts to national offices via provincial intermediaries. Many issues were attributed to the absence of effective HIE, from ‘delays in retrieving records’ to ‘the increase in antibiotic resistance’. Barriers and facilitators to HIE were similar to the findings in Phase 2, but new findings included problems perceived to be the result of devolution of health matters from the federal to provincial governments, the politicised behaviour of international organisations, healthcare providers’ resistance to recording consultations to avoid liability and poor documentation skills. Public pressure to adopt mobile technology frameworks was found to be a novel facilitator whereas sharing regional health information with international organisations was perceived by some participants as disadvantageous as there were concerns that it may have enhanced espionage activities in the region. Conclusions HIE needs to be considered in both organisational and process terms. Effective HIE is essential to the provision of high quality care and the efficient running of health systems. Structural, political and financial considerations are important barriers to promoting HIE in LMICs, however, strong leadership, vision and policy direction along with financial support can help to promote the implementation of HIE in LMICs. Similarly, the federal and provincial governments could play an important role in implementing HIE in Pakistan along with the support of international organisations by facilitating HIE processes at federal and provincial levels across Pakistan. This however seems unlikely for the foreseeable future. At a meso- and micro-level, HIE in Pakistan and other LMICs could be achieved through using leapfrog mobile technologies to facilitate care processes for local organisations and patients. Specifically, the study on Pakistan has highlighted that LMICs may achieve modest successes in HIE through use of patient held records and use of now ubiquitous mobile phone technology with some patient and organisational benefits, but scaling these benefits is dependent on the creation of national structures and strategies which are more difficult to achieve in the low advanced informatics skill and resource settings that characterise many LMICs

A Patient-Centered Framework for Evaluating Digital Maturity of Health Services: A Systematic Review

© Kelsey Flott, Ryan Callahan, Ara Darzi, Erik Mayer.Background: Digital maturity is the extent to which digital technologies are used as enablers to deliver a high-quality health service. Extensive literature exists about how to assess the components of digital maturity, but it has not been used to design a comprehensive framework for evaluation. Consequently, the measurement systems that do exist are limited to evaluating digital programs within one service or care setting, meaning that digital maturity evaluation is not accounting for the needs of patients across their care pathways. Objective: The objective of our study was to identify the best methods and metrics for evaluating digital maturity and to create a novel, evidence-based tool for evaluating digital maturity across patient care pathways. Methods: We systematically reviewed the literature to find the best methods and metrics for evaluating digital maturity. We searched the PubMed database for all papers relevant to digital maturity evaluation. Papers were selected if they provided insight into how to appraise digital systems within the health service and if they indicated the factors that constitute or facilitate digital maturity. Papers were analyzed to identify methodology for evaluating digital maturity and indicators of digitally mature systems. We then used the resulting information about methodology to design an evaluation framework. Following that, the indicators of digital maturity were extracted and grouped into increasing levels of maturity and operationalized as metrics within the evaluation framework. Results: We identified 28 papers as relevant to evaluating digital maturity, from which we derived 5 themes. The first theme concerned general evaluation methodology for constructing the framework (7 papers). The following 4 themes were the increasing levels of digital maturity: resources and ability (6 papers), usage (7 papers), interoperability (3 papers), and impact (5 papers). The framework includes metrics for each of these levels at each stage of the typical patient care pathway. Conclusions: The framework uses a patient-centric model that departs from traditional service-specific measurements and allows for novel insights into how digital programs benefit patients across the health system

Electronic health information exchange in underserved settings: examining initiatives in small physician practices &amp; community health centers.

BackgroundHealth information exchange (HIE) is an important tool for improving efficiency and quality and is required for providers to meet Meaningful Use certification from the United States Centers for Medicare and Medicaid Services. However widespread adoption and use of HIE has been difficult to achieve, especially in settings such as smaller-sized physician practices and federally qualified health centers (FQHCs). We assess electronic data exchange activities and identify barriers and benefits to HIE participation in two underserved settings.MethodsWe conducted key-informant interviews with stakeholders at physician practices and health centers. Interviews were recorded, transcribed, and then coded in two waves: first using an open-coding approach and second using selective coding to identify themes that emerged across interviews, including barriers and facilitators to HIE adoption and use.ResultsWe interviewed 24 providers, administrators and office staff from 16 locations in two states. They identified barriers to HIE use at three levels-regional (e.g., lack of area-level exchanges; partner organizations), inter-organizational (e.g., strong relationships with exchange partners; achieving a critical mass of users), and intra-organizational (e.g., type of electronic medical record used; integration into organization's workflow). A major perceived benefit of HIE use was the improved care-coordination clinicians could provide to patients as a direct result of the HIE information. Utilization and perceived benefit of the exchange systems differed based on several practice- and clinic-level factors.ConclusionsThe adoption and use of HIE in underserved settings appears to be impeded by regional, inter-organizational, and intra-organizational factors and facilitated by perceived benefits largely at the intra-organizational level. Stakeholders should consider factors both internal and external to their organization, focusing efforts in changing modifiable factors and tailoring HIE efforts based on all three categories of factors. Collective action between organizations may be needed to address inter-organizational and regional barriers. In the interest of facilitating HIE adoption and use, the impact of interventions at various levels on improving the use of electronic health data exchange should be tested

Public Health and Epidemiology Informatics: Recent Research and Trends in the United States

Objectives To survey advances in public health and epidemiology informatics over the past three years. Methods We conducted a review of English-language research works conducted in the domain of public health informatics (PHI), and published in MEDLINE between January 2012 and December 2014, where information and communication technology (ICT) was a primary subject, or a main component of the study methodology. Selected articles were synthesized using a thematic analysis using the Essential Services of Public Health as a typology. Results Based on themes that emerged, we organized the advances into a model where applications that support the Essential Services are, in turn, supported by a socio-technical infrastructure that relies on government policies and ethical principles. That infrastructure, in turn, depends upon education and training of the public health workforce, development that creates novel or adapts existing infrastructure, and research that evaluates the success of the infrastructure. Finally, the persistence and growth of infrastructure depends on financial sustainability. Conclusions Public health informatics is a field that is growing in breadth, depth, and complexity. Several Essential Services have benefited from informatics, notably, “Monitor Health,” “Diagnose & Investigate,” and “Evaluate.” Yet many Essential Services still have not yet benefited from advances such as maturing electronic health record systems, interoperability amongst health information systems, analytics for population health management, use of social media among consumers, and educational certification in clinical informatics. There is much work to be done to further advance the science of PHI as well as its impact on public health practice

Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial

BACKGROUND: Coordination of care, especially after a patient experiences an acute care event, is a challenge for many health systems. Event notification is a form of health information exchange (HIE) which has the potential to support care coordination by alerting primary care providers when a patient experiences an acute care event. While promising, there exists little evidence on the impact of event notification in support of reengagement into primary care. The objectives of this study are to 1) examine the effectiveness of event notification on health outcomes for older adults who experience acute care events, and 2) compare approaches to how providers respond to event notifications. METHODS: In a cluster randomized trial conducted across two medical centers within the U.S. Veterans Health Administration (VHA) system, we plan to enroll older patients (≥ 65 years of age) who utilize both VHA and non-VHA providers. Patients will be enrolled into one of three arms: 1) usual care; 2) event notifications only; or 3) event notifications plus a care transitions intervention. In the event notification arms, following a non-VHA acute care encounter, an HIE-based intervention will send an event notification to VHA providers. Patients in the event notification plus care transitions arm will also receive 30 days of care transition support from a social worker. The primary outcome measure is 90-day readmission rate. Secondary outcomes will be high risk medication discrepancies as well as care transitions processes within the VHA health system. Qualitative assessments of the intervention will inform VHA system-wide implementation. DISCUSSION: While HIE has been evaluated in other contexts, little evidence exists on HIE-enabled event notification interventions. Furthermore, this trial offers the opportunity to examine the use of event notifications that trigger a care transitions intervention to further support coordination of care. TRIAL REGISTRATION: ClinicalTrials.gov NCT02689076. "Regional Data Exchange to Improve Care for Veterans After Non-VA Hospitalization." Registered 23 February 2016

Health Information Technology and Accountable Care Organizations: A Systematic Review and Future Directions

Background: Since the inception of Accountable Care Organizations (ACOs), many have acknowledged the potential synergy between ACOs and health information technology (IT) in meeting quality and cost goals. Objective: We conducted a systematic review of the literature in order to describe what research has been conducted at the intersection of health IT and ACOs and identify directions for future research. Methods: We identified empirical studies discussing the use of health IT via PubMed search with subsequent snowball reference review. The type of health IT, how health IT was included in the study, use of theory, population, and findings were extracted from each study. Results: Our search resulted in 32 studies describing the intersection of health IT and ACOs, mainly in the form of electronic health records and health information exchange. Studies were divided into three streams by purpose; those that considered health IT as a factor for ACO participation, health IT use by current ACOs, and ACO performance as a function of health IT capabilities. Although most studies found a positive association between health IT and ACO participation, studies that address the performance of ACOs in terms of their health IT capabilities show more mixed results. Conclusions: In order to better understand this emerging relationship between health IT and ACO performance, we propose future research should consider more quasi-experimental studies, the use of theory, and merging health, quality, cost, and health IT use data across ACO member organizations