Transforming the health information system using mobile and geographic information technologies, Papua New Guinea.

In the context of declining economic growth, now exacerbated by the coronavirus disease 2019 pandemic, Papua New Guinea is increasing the efficiency of its health systems to overcome difficulties in reaching global health and development targets. Before 2015, the national health information system was fragmented, underfunded, of limited utility and accessed infrequently by health authorities. We built an electronic system that integrated mobile technologies and geographic information system data sets of every house, village and health facility in the country. We piloted the system in 184 health facilities across five provinces between 2015 and 2016. By the end of 2020, the system's mobile tablets were rolled out to 473 facilities in 13 provinces, while the online platform was available in health authorities of all 22 provinces, including church health services. Fractured data siloes of legacy health programmes have been integrated and a platform for civil registration systems established. We discuss how mobile technologies and geographic information systems have transformed health information systems in Papua New Guinea over the past 6 years by increasing the timeliness, completeness, quality, accessibility, flexibility, acceptability and utility of national health data. To achieve this transformation, we highlight the importance of considering the benefits of mobile tools and using rich geographic information systems data sets for health workers in primary care in addition to the needs of public health authorities.

Dans un contexte de déclin de la croissance économique, exacerbé par la pandémie de maladie à coronavirus, la Papouasie-Nouvelle-Guinée a décidé d'augmenter l'efficacité de ses systèmes sanitaires afin de surmonter les difficultés à atteindre les objectifs globaux en matière de santé et de développement. Avant 2015, le système d'information sanitaire national était fragmenté, sous-financé, peu utile et rarement consulté par les autorités sanitaires. Nous avons donc conçu un système électronique intégrant des technologies mobiles et des ensembles de données géographiques provenant de chaque ménage, de chaque village et de chaque établissement de soins du pays. Entre 2015 et 2016, nous avons piloté le système dans 184 établissements de soins répartis sur cinq provinces. Fin 2020, les tablettes mobiles du système ont été distribuées dans 473 établissements de 13 provinces, tandis que les autorités sanitaires des 22 provinces du pays, y compris les services sanitaires confessionnels, ont pu accéder à la plateforme en ligne. Les silos de données fragmentées des programmes de santé antérieurs y ont été incorporés et une plateforme destinée aux registres d'état civil a été créée. Le présent document se penche sur la manière dont les technologies d'information mobiles et géographiques ont transformé les systèmes d'information sanitaire en Papouasie-Nouvelle-Guinée ces six dernières années en améliorant la ponctualité, l'exhaustivité, la qualité, l'accessibilité, la flexibilité, la recevabilité et l'utilité des données nationales sur la santé. Pour réaliser cette transformation, il est à nos yeux essentiel de tenir compte des avantages que représentent les outils mobiles, et de tirer profit des vastes ensembles de données géographiques non seulement pour les travailleurs des soins de santé primaires, mais aussi pour les besoins des autorités de santé publique.

En el contexto de un crecimiento económico en declive, agravado ahora por la pandemia de la enfermedad por coronavirus, Papúa Nueva Guinea está aumentando la eficiencia de sus sistemas sanitarios para superar las dificultades para alcanzar los objetivos globales de salud y desarrollo. Antes de 2015, el sistema nacional de información sanitaria estaba fragmentado, carecía de fondos suficientes, su utilidad era limitada y las autoridades sanitarias accedían a él con poca frecuencia. Construimos un sistema electrónico que integraba tecnologías móviles y conjuntos de datos del sistema de información geográfica de cada casa, pueblo y centro de salud del país. Entre 2015 y 2016 pusimos a prueba el sistema en 184 centros de salud de cinco provincias. A finales de 2020, las tabletas móviles del sistema se implementaron en 473 centros de 13 provincias, mientras que la plataforma en línea estaba disponible en las autoridades sanitarias de las 22 provincias, incluidos los servicios de salud de las iglesias. Se han integrado los silos de datos fracturados de los programas sanitarios heredados y se ha establecido una plataforma para los sistemas de registro civil. Exponemos cómo las tecnologías móviles y los sistemas de información geográfica han transformado los sistemas de información sanitaria en Papúa Nueva Guinea en los últimos seis años, aumentando la puntualidad, la exhaustividad, la calidad, la accesibilidad, la flexibilidad, la aceptabilidad y la utilidad de los datos sanitarios nacionales. Para lograr esta transformación, destacamos la importancia de tener en cuenta los beneficios de las herramientas móviles y de utilizar conjuntos de datos ricos en sistemas de información geográfica para los trabajadores sanitarios de la atención primaria, además de las necesidades de las autoridades sanitarias públicas.

Cost-Effectiveness of an Opioid Abuse-Prevention Program Using the Narcotics Information Management System in South Korea.

OBJECTIVES: To assess the cost-effectiveness of an opioid abuse-prevention program embedded in the Narcotics Information Management System ("the Network System to Prevent Doctor-Shopping for Narcotics") in South Korea. METHODS: Using a Markov model with a 1-year cycle length and 30-year time horizon, we estimated the incremental cost-utility ratio (ICUR) of implementing an opioid abuse-prevention program in patients prescribed outpatient opioids from a Korean healthcare payer's perspective. The model has 6 health states: no opioid use, therapeutic opioid use, opioid abuse, overdose, overdose death, and all-cause death. Patient characteristics, healthcare costs, and transition probabilities were estimated from national population-based data and published literature. Age- and sex-specific utilities of the general Korean population were used for the no-use state, whereas the other health-state utilities were obtained from published studies. Costs (in 2019 US dollars) included the expenses of the program, opioids, and overdoses. An annual 5% discount rate was applied to the costs and quality-adjusted life-years (QALYs). Parameter uncertainties were explored via deterministic and probabilistic sensitivity analyses. RESULTS: The program was associated with 2.27 fewer overdoses per 100 000 person-years, with an ICUR of $227/QALY. The ICURs were generally robust to parameter changes, although the program's effect on abuse reduction was the most influential parameter. Probabilistic sensitivity analysis showed that the program reached a 100% probability of cost-effectiveness at a willingness-to-pay threshold of $900/QALY. CONCLUSIONS: The opioid abuse-prevention program appears to be cost-effective in South Korea. Mandatory use of the program should be considered to maximize clinical and economic benefits of the program.

Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.

BACKGROUND: A routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries. METHOD: We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative. RESULTS: Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning. CONCLUSION: The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions.

The design and development of technology platforms in a developing country healthcare context from an ecosystem perspective.

BACKGROUND: Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adoption due to characteristics such as sensitive data and high cost of failure. A framework for the design, development and implementation of technology platforms in the South African health context could therefore contribute to the gap in research as well as provide a practical tool that platform owners could use to potentially increase the adoption of platforms in this context. METHODS: The research design for this study was based on the Grounded Theory Conceptual Framework Analysis process. The process focused on mapping and investigating data sources, categorising and integrating concepts, synthesising these concepts into a framework and iteratively evaluating the framework. The first stage of the evaluation process was a preliminary evaluation exploring an existing Health platform in South Africa (MomConnect). The second evaluation stage included local and international interviews with nine experts to identify any missing concepts in the framework. Stage three included a case study and case study interviews which led to the formulation of the final framework and management tool. RESULTS: The developed and evaluated framework comprised three components, namely the pre-use component, which includes considerations the platform owner should be aware of prior to using the framework. The framework comprises of two dimensions, 1) an ecosystem dimension to guide the platform owner to consider different ecosystem actors before embarking on designing a platform 2) a platform development dimension that include typical platform development components and presents an interpretation of the viewpoints included in the ecosystem levels. CONCLUSIONS: The final framework can be used by platform owners as a management tool. A unique contribution of this study is that the framework draws from two platform perspectives, namely the engineering and the economic perspectives to provide a holistic understanding of platforms. Finally, a contribution of this article is the tailoring of the framework for the South African health context.

Readmission Risk Assessment Technologies and the Anchoring and Adjustment Heuristic.

Approximately 23% of patients discharged from primary healthcare facilities are readmitted within 30 days at an annual cost of roughly $42 billion. To remedy this problem, healthcare providers are attempting to deploy readmission risk estimation tools, but how they might be used in the traditional, human-expert-centered decision process is not well understood. One such tool estimates readmission risk based on 50 patient-specific factors. This paper reports on a study performed in collaboration with Order of St. Francis Healthcare to determine how healthcare workers' own risk estimates are influenced by the tool, specifically testing the hypothesis that they will first anchor towards tool results while making adjustments based on their expertise, and then make further adjustments when additional human expert opinions are presented. Task analysis was performed, fictional patient scenarios were developed, and a survey of 56 subjects in two stratified groups of case managers was conducted. Data from the control and experiment groups were analyzed using ANOVA/GLM and t-tests. Results indicate that the healthcare workers' risk estimates were influenced by the anchor provided by the tool, then adjusted based on their expertise. The workers further adjusted their estimates in response to new expert human inputs. Thus, a reliance on both the predictive model and human expertise was observed.

Mortality, Resource Utilization, and Inpatient Costs Vary Among Pediatric Heart Transplant Indications: A Merged Data Set Analysis From the United Network for Organ Sharing and Pediatric Health Information Systems Databases.

BACKGROUND: Merging United Network for Organ Sharing (UNOS) and Pediatric Health Information Systems databases has enabled a more granular analysis of pediatric heart transplant outcomes and resource utilization. We evaluated whether transplant indication at time of transplantation was associated with mortality, resource utilization, and inpatient costs during the first year after transplantation. METHODS AND RESULTS: We analyzed transplant outcomes and resource utilization from 2004 to 2015. Patients were categorized as congenital (CHD), myocarditis, or cardiomyopathy based on UNOS-defined primary indication. CHD complexity subgroup analyses (single-ventricle, complex, and simple biventricular CHD) were also performed. Of 2251 transplants (49% CHD, 5% myocarditis, 46% cardiomyopathy), CHD recipients were younger (2 [IQR 0-10], 6 [IQR 0-12], and 7 [IQR 1-14] years, respectively; P < .001) and less likely to have a ventricular assist device (VAD) at transplantation (3%, 27%, and 13%, respectively; P < .001). Patients with single-ventricle CHD had the longest time on the waitlist and were least likely to receive a VAD before transplantation. After adjusting for patient-level factors, transplant recipients with single-ventricle CHD had the greatest mortality during transplantation admission and within 1 year (odds ratio [OR] 11.8 [95% confidence interval (CI) 5.9-23.6] and OR 6.0 [95% CI 3.6-10.2], respectively, vs cardiomyopathy). Mortality was similar between patients with myocarditis and cardiomyopathy. Post-transplantation length of stay (LOS) was longer in transplant recipients with CHD than myocarditis or cardiomyopathy (25 [interquartile range [IQR] 15-45] vs 21 [IQR 12-35] vs 16 [IQR 12-25] days; P < .001), related in part to longer duration of intensive care unit-level care (ICU LOS 8 [IQR 4-20] vs 6 [IQR 4-13] vs 5 [IQR 3-8] days; P < .001). Similarly, patients with CHD had higher median post-transplantation costs than myocarditis or cardiomyopathy ($415K [IQR $201K-503K] vs $354K [IQR $179K-390K] vs $284K [IQR $145K-319K]; P < .001) that persisted after adjusting for patient-level factors (adjusted cost ratio 1.4 [95% CI 1.4-1.5], CHD vs cardiomyopathy) and was primarily driven by longer LOS. More than 50% were readmitted during the first year after transplantation, although readmission rates were similar across transplant indications (P = .42). CONCLUSIONS: Children with CHD, particularly single-ventricle patients, require substantially greater hospital resource utilization and have significantly worse outcomes during the first year after heart transplantation compared with other indications. Further work is aimed at identifying modifiable pre-transplantation risk factors, such as pre-transplantation conditioning with VAD support and cardiac rehabilitation, to improve post-transplantation outcomes and reduce resource utilization in this complex population.

Avaliação da implantação do Sistema de Informação de Agravos de Notificação em Pernambuco, 2014 / Evaluación de la implantación del Sistema de Información de Agravamientos de Notificación en el estado de Pernambuco, Brasil, 2014 / Evaluation of the implantation of the Notifiable Diseases Information System in Pernambuco state, Brazil, 2014

Objetivo: avaliar a implantação do Sistema de Informação de Agravos de Notificação (Sinan) de Pernambuco, Brasil, 2014. Métodos: pesquisa avaliativa com dados primários (entrevistas) e secundários (documentos/dados do Sinan) da Secretaria Estadual e Regionais de Saúde, para estimar o grau de implantação, confrontando indicadores de estrutura e processo com os de resultado. Resultados: o Sinan mostrou-se parcialmente implantado nos níveis central (77,2%) e regional (61,2%), variando neste nível de 54,7 a 71,6%; os componentes notificação/investigação (90,0%) e processamento dos dados (84,1%) estavam implantados; análise/divulgação (61,6%), parcialmente implantada; monitoramento (53,4%) e gestão (56,8%), com implantação incipiente; observou-se ausência de planejamento e boletins divulgados; 46,9% dos municípios encerraram oportunamente as notificações compulsórias; 68,7% enviaram lotes regularmente, ocorrendo 3,0% de duplicação de casos de tuberculose. Conclusão: o Sinan mostrou-se parcialmente implantado em Pernambuco, por falhas no monitoramento e gestão, influenciando negativamente nos resultados do sistema; suas fortalezas relacionaram-se à notificação, investigação e processamento dos dados.

Objetivo: evaluar la implantación del Sistema de Información de Agravamientos de Notificación (Sinan) de Pernambuco, Brasil, 2014. Métodos: investigación evaluativa de implantación, con datos primarios (entrevistas) y secundarios (documentos/datos del Sinan) de la Secretaría Estadual y Regionales de Salud, para estimar el grado de implantación, confrontando indicadores de estructura y proceso a los de resultado. Resultados: el Sinan se mostró parcialmente implantado en nivel central (77,2%) y regional (61,2%), en este variando entre 54,7 y 71,6%; los componentes notificación/investigación (90,0%) y procesamiento (84,1%) estaban implantados; análisis/divulgación (61,6%), parcialmente implantado; monitoreo (53,4%) y gestión (56,8%), incipientes; se observó ausencia de planificación y boletines divulgados; 46,9% de municipios cerraron oportunamente las notificaciones obligatorias; un 68,7% envió lotes regularmente, con 3,0% de duplicación de casos de tuberculosis. Conclusión: el Sinan se mostró parcialmente implantado en Pernambuco por fallas en monitoreo y gestión, con influencias negativas sobre los resultados; sus puntos fuertes está relacionados a la notificación, la investigación y al procesamiento de datos.

Objective: to evaluate the implantation of the Notifiable Diseases Information System (SINAN) in Pernambuco, Brasil, 2014. Methods: This was an evaluation study based on primary data (interviews) and secondary data (SINAN documents/data) provided by the State Health Department and its Regional Divisions in order to estimate the degree of SINAN implantation, comparing structure and process indicators with results achieved. Results: SINAN was found to be partially implemented at central level (77.2%); and at regional level (61.2%), ranging from 54.7 to 71.6%; the following components had been implemented: reporting/investigation (90.0%) and processing (84.1%); analysis/divulgation had been partially implemented (61.6%); while monitoring (53.4%) and management (56.8%) were incipient; there was a lack of planning and published information bulletins; 46.9% of municipalities closed compulsory reporting on time; 68.7% sent batches regularly, 3.0% of tuberculosis cases were duplicated. Conclusion: SINAN was found to be partially implemented in Pernambuco due to shortcomings in monitoring and management, with negative influences on system results; its strengths related to reporting, investigation and data processing.

Bridging gaps in health information systems: a case study from Somaliland, Somalia.

Reliable and timely health information is fundamental for health information systems (HIS) to work effectively. This case study aims to assess Somaliland HIS in terms of its contextual situation, major weaknesses and proposes key evidence-based recommendations. Data were collected through national level key informants' interviews, observations, group discussion and scoring using the HIS framework and assessment tool developed by World Health Organization Health Metrics Network (WHO/HMN). The study found major weaknesses including: no policy, strategic plan and legal framework in place; fragmented sub-information systems; Poor information and communications technology (ICT) infrastructure; poorly motivated and under-skilled personnel; dependence on unsustainable external funds; no census or civil registration in place; data from private health sector not captured; insufficient technical capacity to analyse data collected by HIS; and information is not widely shared, disseminated or utilized for decision-making. We recommend developing a national HIS strategic plan that harmonizes and directs collective efforts to become a more integrated, cost-effective and sustainable HIS.

Performance and cost evaluation of health information systems using micro-costing and discrete-event simulation.

Innovation and health-care funding reforms have contributed to the deployment of Information and Communication Technology (ICT) to improve patient care. Many health-care organizations considered the application of ICT as a crucial key to enhance health-care management. The purpose of this paper is to provide a methodology to assess the organizational impact of high-level Health Information System (HIS) on patient pathway. We propose an integrated performance evaluation of HIS approach through the combination of formal modeling using the Architecture of Integrated Information Systems (ARIS) models, a micro-costing approach for cost evaluation, and a Discrete-Event Simulation (DES) approach. The methodology is applied to the consultation for cancer treatment process. Simulation scenarios are established to conclude about the impact of HIS on patient pathway. We demonstrated that although high level HIS lengthen the consultation, occupation rate of oncologists are lower and quality of service is higher (through the number of available information accessed during the consultation to formulate the diagnostic). The provided method allows also to determine the most cost-effective ICT elements to improve the care process quality while minimizing costs. The methodology is flexible enough to be applied to other health-care systems.

Sustainability of health information systems: a three-country qualitative study in southern Africa.

BACKGROUND: Health information systems are central to strong health systems. They assist with patient and program management, quality improvement, disease surveillance, and strategic use of information. Many donors have worked to improve health information systems, particularly by supporting the introduction of electronic health information systems (EHIS), which are considered more responsive and more efficient than older, paper-based systems. As many donor-driven programs are increasing their focus on country ownership, sustainability of these investments is a key concern. This analysis explores the potential sustainability of EHIS investments in Malawi, Zambia and Zimbabwe, originally supported by the United States President's Emergency Plan for AIDS Relief (PEPFAR). METHODS: Using a framework based on sustainability theories from the health systems literature, this analysis employs a qualitative case study methodology to highlight factors that may increase the likelihood that donor-supported initiatives will continue after the original support is modified or ends. RESULTS: Findings highlight commonalities around possible determinants of sustainability. The study found that there is great optimism about the potential for EHIS, but the perceived risks may result in hesitancy to transition completely and parallel use of paper-based systems. Full stakeholder engagement is likely to be crucial for sustainability, as well as integration with other activities within the health system and those funded by development partners. The literature suggests that a sustainable system has clearly-defined goals around which stakeholders can rally, but this has not been achieved in the systems studied. The study also found that technical resource constraints - affecting system usage, maintenance, upgrades and repairs - may limit EHIS sustainability even if these other pillars were addressed. CONCLUSIONS: The sustainability of EHIS faces many challenges, which could be addressed through systems' technical design, stakeholder coordination, and the building of organizational capacity to maintain and enhance such systems. All of this requires time and attention, but is likely to enhance long-term outcomes.

The Feasibility of the Nationwide Health Information Network.

The Nationwide Health Information Network (NHIN) use in health care facilities was examined for utilization and efficacy; although the advantages are abundant, health care facilities have been reluctant to adopt it because of associated costs. The purpose of this study was to analyze the feasibility of a US NHIN by exploring and determining the benefits of an NHIN and assessing the barriers to its implementation. The research methodology applied in examining the implementation of NHIN in the United States was a qualitative literature review, which followed the basic guidelines of a systematic literature review, partnered with a semistructured interview of a chief information officer of a private, nonprofit, 193-bed hospital located in Westminster, Maryland. A total of 33 sources were referenced. The results of this study suggest that implementation and utilization of NHIN by health care industry stakeholders lead to an increased quality of patient care, increased patient-provider communication, and cost-savings opportunities. Increased quality of care is achieved by reducing adverse drug events and medical errors. Cost-savings opportunities are generated by a reduction in spending and prices that is attributable to electronic health record systems' increased efficiency and effectiveness. Nevertheless, barriers to NHIN implementation and utilization still remain throughout the health care industry, the main one being concerns about interoperability.

Report of the National Heart, Lung, and Blood Institute Working Group: An Integrated Network for Congenital Heart Disease Research.

The National Heart, Lung, and Blood Institute convened a working group in January 2015 to explore issues related to an integrated data network for congenital heart disease research. The overall goal was to develop a common vision for how the rapidly increasing volumes of data captured across numerous sources can be managed, integrated, and analyzed to improve care and outcomes. This report summarizes the current landscape of congenital heart disease data, data integration methodologies used across other fields, key considerations for data integration models in congenital heart disease, and the short- and long-term vision and recommendations made by the working group.

Characteristics of Local Health Departments Associated with Implementation of Electronic Health Records and Other Informatics Systems.

OBJECTIVE: Assessing local health departments' (LHDs') informatics capacities is important, especially within the context of broader, systems-level health reform. We assessed a nationally representative sample of LHDs' adoption of information systems and the factors associated with adoption and implementation by examining electronic health records, health information exchange, immunization registry, electronic disease reporting system, and electronic laboratory reporting. METHODS: We used data from the National Association of County and City Health Officials' 2013 National Profile of LHDs. We performed descriptive statistics and multinomial logistic regression for the five implementation-oriented outcome variables of interest, with three levels of implementation (implemented, plan to implement, and no activity). Independent variables included infrastructural and financial capacity and other characteristics associated with informatics capacity. RESULTS: Of 505 LHDs that responded to the survey, 69 (13.5%) had implemented health information exchanges, 122 (22.2%) had implemented electronic health records, 245 (47.5%) had implemented electronic laboratory reporting, 368 (73.0%) had implemented an electronic disease reporting system, and 416 (83.8%) had implemented an immunization registry. LHD characteristics associated with health informatics adoption included provision of greater number of clinical services, greater per capita public health expenditures, health information systems specialists on staff, larger population size, decentralized governance system, one or more local boards of health, metropolitan jurisdiction, and top executive with more years in the job. CONCLUSION: Many LHDs lack health informatics capacity, particularly in smaller, rural jurisdictions. Cross-jurisdictional sharing, investment in public health informatics infrastructure, and additional training may help address these shortfalls.

When Does FDAMA Section 114 Apply? Ten Case Studies.

BACKGROUND: Section 114 of the Food and Drug Administration Modernization Act of 1997 regulates the promotion of health economic information by pharmaceutical companies to US health plans. Greater clarity is important given demands by payers and other stakeholders for evidence of value. OBJECTIVES: To develop hypothetical case studies of health economic promotions to examine legal and policy implications. METHODS: We constructed for pedagogical purposes 10 categories of potential health economic promotions. We generated hypothetical case studies for each category, including questions about whether each might be allowable under Section 114. The case studies were developed around the following categories: 1) costing out on-label clinical end points; 2) promotion of a costing exercise to physicians working in an accountable care organization setting; 3) burden-of-illness claims; 4) economic analysis of a formulary restriction policy; 5) extrapolations to doses, populations, or settings not covered in trials; 6) adherence claims; 7) "utilization of care" as a secondary end point in randomized clinical trials; 8) costing out a competitor drug's adverse event; 9) economic analysis of comparative effectiveness claims using an indirect treatment comparison; and 10) extrapolating from surrogate to long-term outcomes in an economic model. DISCUSSION: Most cases seem to fall into a gray zone given haziness around what constitutes "competent and reliable evidence" and "directly relate[d]" to an approved indication. In practice, it is difficult to know what the section allows given the imprecision of the statute and lack of guidance about its scope. CONCLUSION: Ideally, future guidance will provide clarity and flexibility.

Can a health information exchange save healthcare costs? Evidence from a pilot program in South Korea.

OBJECTIVE: Governments and institutions across the world have made efforts to adopt and diffuse the health information exchange (HIE) technology with the expectation that the technology would improve the quality and efficiency of care by allowing providers online access to healthcare information generated by other providers at the point of care. However, evidence concerning the effectiveness of the technology is limited hindering the wide adoption of a HIE. The objective of this study was to assess impacts of a HIE on healthcare utilization and costs of patient episodes at a tertiary care hospital following referrals by clinic physicians. MATERIAL/METHODS: We studied 1265 HIE and 2702 non-HIE episodes after physicians referred patients from 35 HIE and 59 non-HIE clinics to Seoul National University Bundang Hospital (SNUBH) during a 17-month period from June 2009. We examined 9 measures of healthcare utilization and the magnitude of clinical information exchanged in 4 categories. We estimated the savings resulting from HIE use through linear regression models with dummy variables for HIE participation and patient classification codes controlling the case-mix differences between HIE and non-HIE cases. RESULTS: The total charges incurred by the HIE group during episodes at SNUBH were approximately 13% lower (P<0.001), and the charges for clinical laboratory tests, pathological diagnosis, function tests, and diagnostic imaging were 54% (P<0.001), 76% (P<0.001), 73% (P<0.001), and 80% (P<0.001) lower for the HIE group than for the non-HIE group. SNUBH physicians had access to more clinical information for HIE than for non-HIE patients. CONCLUSIONS: HIE technology improved physicians' access to past clinical information, which appeared to reduce diagnostic test utilization and healthcare costs. The payer was the major beneficiary of HIE cost savings whereas providers paid for the technology. Fair allocation of benefits and costs among stakeholders is needed for wide HIE adoption.