Regional extension coordinators: use of practice support and electronic health records to improve quality and efficiency

The North Carolina Regional Extension Center for Health Information Technology provides onsite consultation to primary care practices to help them implement electronic health records then use these systems to optimize care through measurement, rapid cycle quality improvement, and application of medical home functionalities. Services are available from all 9 regional North Carolina Area Health Education Centers.     

Area-level factors associated with electronic health record adoption and meaningful use in the Regional Extension Center Program

Objective

To identify area-level correlates of electronic health record (EHR) adoption and meaningful use (MU) among primary care providers (PCPs) enrolled in the Regional Extension Center (REC) Program.

Materials and methods

County-level data on 2013 EHR adoption and MU among REC-enrolled PCPs were obtained from the Office of the National Coordinator for Health Information Technology and linked with other county-level data sources including the Area Resource File, American Community Survey, and Federal Communications Commission''s broadband availability database. Hierarchical models with random intercepts for RECs were employed to assess associations between a broad set of area-level factors and county-level rates of EHR adoption and MU.

Results

Among the 2715 counties examined, the average county-level EHR adoption and MU rates for REC-enrolled PCPs were 87.5% and 54.2%, respectively. Community health center presence and Medicaid enrollment concentration were positively associated with EHR adoption, while metropolitan status and Medicare Advantage enrollment concentration were positively associated with MU. Health professional shortage area status and minority concentration were negatively associated with EHR adoption and MU.

Discussion

Increased financial incentives in areas with greater concentrations of Medicaid and Medicare enrollees may be encouraging EHR adoption and MU among REC-enrolled PCPs. Disparities in EHR adoption and MU in some low-resource and underserved areas remain a concern.

Conclusions

Federal efforts to spur EHR adoption and MU have demonstrated some early success; however, some geographic variations in EHR diffusion indicate that greater attention needs to be paid to ensuring equitable uptake and use of EHRs throughout the US.     

聚焦电子健康档案

电子健康档案与区域卫生信息网络在全世界范围内正在成为医疗卫生信息化的前沿阵地.从EMR与EHR的区别及其相互关系对电子健康档案的基本内涵加以辨析,并就目前国内外对电子健康档案研究和实践的现状进行介绍,阐明实现电子健康档案的意义,最后指出需要解决的关键问题.     

A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records

ObjectiveDespite a proliferation of applications (apps) to conveniently collect patient-reported outcomes (PROs) from patients, PRO data are yet to be seamlessly integrated with electronic health records (EHRs) in a way that improves interoperability and scalability. We applied the newly created PRO standards from the Office of the National Coordinator for Health Information Technology to facilitate the collection and integration of standardized PRO data. A novel multitiered architecture was created to enable seamless integration of PRO data via Substitutable Medical Apps and Reusable Technologies on Fast Healthcare Interoperability Resources apps and scaled to different EHR platforms in multiple ambulatory settings.Materials and MethodsWe used a standards-based approach to deploy 2 apps that source and surface PRO data in real-time for provider use within the EHR and which rely on PRO assessments from an external center to streamline app and EHR integration.ResultsThe apps were developed to enable patients to answer validated assessments (eg, a Patient-Reported Outcomes Measurement Information System including using a Computer Adaptive Test format). Both apps were developed to populate the EHR in real time using the Health Level Seven FHIR standard allowing providers to view patients’ data during the clinical encounter. The process of implementing this architecture with 2 different apps across 18 ambulatory care sites and 3 different EHR platforms is described.ConclusionOur approach and solution proved feasible, secure, and time- and resource-efficient. We offer actionable guidance for this technology to be scaled and adapted to promote adoption in diverse ambulatory care settings and across different EHRs.     

Impact of the 2015 Health Information Technology Certification Edition on Interoperability among Hospitals

ObjectiveMost nonfederal acute care hospitals use electronic health records (EHRs) certified by the Office of the National Coordinator for Health Information Technology. In 2015, the Office of the National Coordinator for Health Information Technology finalized the 2015 Health IT Certification Edition and adoption by hospitals began in 2016. We examine the impact of the 2015 Edition on rates of interoperable exchange among nonfederal acute hospitals.Materials and MethodsThe study applies a standard difference-in-differences design and a recently developed fixed effects estimator that relaxes the assumption of treatment effects being constant across groups and time. In the analysis, we identify separate effects of the 2015 Edition for hospitals that switched EHR developers and forecast hospitals’ interoperability over 2015 Edition adoption rates.ResultsThe adoption of the 2015 Edition increased hospitals’ rates of interoperable exchange and especially benefited hospitals that switched EHR developers in the post-implementation period. Forecasting results indicate that if all hospitals adopted the 2015 Edition, 53% to 61% of hospitals would engage in interoperable health information exchange compared with the current rate of 46%.DiscussionHospitals’ levels of interoperability have been rising over the last few years. Adoption of newer technology improved hospitals’ interoperability and accounts for up to 12% of the rise in interoperability.ConclusionsCertified technology is one mechanism to ensure providers use recent and safe technologies for interoperable exchange. Adoption of certified EHRs improves the nation’s interoperable exchange; however, it has a clear limited effect. Other mechanisms are necessary for achieving comprehensive interoperable exchange.     

Joint Toxicology Network at the Latin American Regional Level

The Environmental Health Program of the Pan American Health Organization has established goals to be able to comply with the resolutions of the Board of Directors and the Executive Committee. As an integral part of the Environmental Health Program, the Pan American Center for Human Ecology and Health (ECO) must contribute to the achievement of these goals. Generally speaking, there is a scarcity of toxicology professionals in the Region of the Americas. In order to ameliorate this situation, it is suggested that activities in the areas of training professionals, conducting research, dissemination of information, and publishing of educational materials be undertaken. It is proposed that the "Joint Toxicology Network at the Regional Level" be created. The objectives of such a network would be the promotion and encouragement of activities in the area of toxicology; assistance to countries in identifying their needs; encouragement of information exchange, publication and training in toxicology; and support of the Toxicology Information Centers. In order to achieve the Network objectives, it is suggested that activities be undertaken by the national groups belonging to the network.     

家庭医生团队签约服务能力建设评估指标体系构建研究

背景 家庭医生团队签约服务能力是有效开展签约服务的关键因素,因此相应的能力建设非常重要,但目前尚缺乏客观的服务能力建设评估指标体系。目的 构建一套科学、实用的用于评估家庭医生团队签约服务能力建设的指标体系,以有效监测和评估家庭医生团队签约服务能力建设的优势和不足,从而提升能力建设的方向性和内容精准性。方法 在查阅相关资料、咨询专家的基础上,初步拟定评价指标体系。遴选熟悉全科医学理论、以患者为中心的诊疗之家（PCMH）、以人为本的一体化服务（PCIC）模式、以人为中心的主动健康管理服务（PCAC）模式的专家13名,分别于2017-12-14、2018-01-14开展2轮专家会议,对评价指标体系进行讨论、修改。结果 2轮会议的专家参与率分别为100.0%（13/13）、92.3%（12/13）。建立的评估指标体系包括一级指标8个、二级指标35个、三级指标113个。一级指标分别为家庭医生团队签约服务技能培训、以人为中心的照护和沟通、提供可及性和连续性服务、以团队为基础提供计划性服务、提供协同服务与管理、人群识别与管理、信息系统和工具的应用、质量的监测与改进。结论 构建出的家庭医生团队签约服务能力建设评估指标体系,充分体现了家庭医生签约服务的以人为中心、健康促进及可及性、连续性服务内涵,具有很强的操行性和目标导向性,可以为家庭医生团队签约服务能力建设提供参考。     

Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects

Electronic health records (EHR) use is often considered a significant contributor to clinician burnout. Informatics researchers often measure clinical workload using EHR-derived audit logs and use it for quantifying the contribution of EHR use to clinician burnout. However, translating clinician workload measured using EHR-based audit logs into a meaningful burnout metric requires an alignment with the conceptual and theoretical principles of burnout. In this perspective, we describe a systems-oriented conceptual framework to achieve such an alignment and describe the pragmatic realization of this conceptual framework using 3 key dimensions: standardizing the measurement of EHR-based clinical work activities, implementing complementary measurements, and using appropriate instruments to assess burnout and its downstream outcomes. We discuss how careful considerations of such dimensions can help in augmenting EHR-based audit logs to measure factors that contribute to burnout and for meaningfully assessing downstream patient safety outcomes.     

Measuring time clinicians spend using EHRs in the inpatient setting: a national,mixed-methods study

ObjectiveTo understand hospitals’ use of EHR audit-log-based measures to address burden associated with inpatient EHR use.Materials and MethodsUsing mixed methods, we analyzed 2018 American Hospital Association Information Technology Supplement Survey data (n = 2864 hospitals; 64% response rate) to characterize measures used and provided by EHR vendors to track clinician time spent documenting. We interviewed staff from the top 3 EHR vendors that provided these measures. Multivariable analyses identified variation in use of the measures among hospitals with these 3 vendors.Results53% of hospitals reported using EHR data to track clinician time documenting, compared to 68% of the hospitals using the EHR from the top 3 vendors. Among hospitals with EHRs from these vendors, usage was significantly lower among rural hospitals and independent hospitals (P < .05). Two of these vendors provided measures of time spent doing specific tasks while the third measured an aggregate of auditable activities. Vendors varied in the underlying data used to create measures, measure specification, and data displays.DiscussionTools to track clinicians’ documentation time are becoming more available. The measures provided differ across vendors and disparities in use exist across hospitals. Increasing the specificity of standards underlying the data would support a common set of core measures making these measures more widely available.ConclusionAlthough half of US hospitals use measures of time spent in the EHR derived from EHR generated data, work remains to make such measures and analyses more broadly available to all hospitals and to increase its utility for national burden measurement.     

The Centers For Medicare And Medicaid Services Electronic Health Records for hospitals

The Centers for Medicare and Medicaid Services (CMS) Electronic Health Records (EHR) incentive program for hospitals is described with respect to the requirements to receive the incentive payments, how to calculate the amount, and the pertinent time frames. Comparisons between the CMS EHR and Picture Archiving and Communication Systems (PACS) are presented. The hallmarks of successful computerized health records are reviewed.     

面向区域医疗的图像互操作系统设计

区域医疗信息网络提供了区域下多种医学信息平台数据的有效互通。随着医疗机构每年产生愈加庞大的医疗信息。互操作将在区域医疗信息网络中发挥越来越重要的作用。主要介绍了面向区域医疗的图像互操作系统框架,由区域医疗中心提供用户认证服务和存放用户的诊疗信息,用户通过Internet登陆区域医疗中心进行访问,若想要查看详细的诊疗图像信息,则由诊疗医院建立临时图像数据库将相应的内容向患者开放。     

Resistance Is Futile: But It Is Slowing the Pace of EHR Adoption Nonetheless

Objective

The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al.¹ The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption.

Design

Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a “Universal EHR Adoption” by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices.

Measurement

EHR adoption parameters—external and internal coefficients of influence—are estimated using bass diffusion models and future adoption rates are projected.

Results

Comparing the EHR adoption rates before and after 2004 (2001-2004 and 2001-2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%).

Conclusions

The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion.     

Meeting the challenge: Health information technology’s essential role in achieving precision medicine

Precision medicine can revolutionize health care by tailoring treatments to individual patient needs. Advancing precision medicine requires evidence development through research that combines needed data, including clinical data, at an unprecedented scale. Widespread adoption of health information technology (IT) has made digital clinical data broadly available. These data and information systems must evolve to support precision medicine research and delivery. Specifically, relevant health IT data, infrastructure, clinical integration, and policy needs must be addressed. This article outlines those needs and describes work the Office of the National Coordinator for Health Information Technology is leading to improve health IT through pilot projects and standards and policy development. The Office of the National Coordinator for Health Information Technology will build on these efforts and continue to coordinate with other key stakeholders to achieve the vision of precision medicine. Advancement of precision medicine will require ongoing, collaborative health IT policy and technical initiatives that advance discovery and transform healthcare delivery.     

Combining Ontologies and Open Standards to Derive a Middle Layer Information Model for Interoperability of Personal and Electronic Health Records

The aim of our study was to enable better interoperability between Personal Health Record (PHR) and Electronic Health Record (EHR) systems and vice versa. A multi-layer architectural model that resides between a PHR and EHR system has been developed. The model consists of an ontology-driven information model and a set of transformation rules that work in conjunction to process data exported from a PHR or EHR system and prepare it accordingly for the receiving system. The model was evaluated by executing a set of case study scenarios containing data from both a PHR and an EHR system. This allowed various challenges to emerge and revealed gaps in current standards in use. The proposed information model offers a number of advantages. Altering only the information model can incorporate modifications to either a PHR or EHR system. The model uses classes and attributes to define how data is captured which allows greater flexibility in how data can be manipulated by receiving systems.     

Factors Related to Health Information Exchange Participation and Use

This study examines factors facilitating and delaying participation and use of the Health Information Exchange (HIE) in Louisiana. Semi-structured qualitative interviews were conducted with health care representatives throughout the state. Findings suggest that Meaningful Use requirements are a critical factor influencing the decision to participate in the HIE, specifically the mandate that hospitals be able to electronically transfer summary of care documents. Creating buy-in within a few large hospital networks legitimized the HIE and hastened interest in those markets. Fees charged by electronic health record (EHR) vendors to develop HIE interfaces have been prohibitive. Funding from the federal incentive program is intended to offset the costs associated with EHR implementation and increase the likelihood that HIEs can provide value to the population; however, costs and time delays of EHR interface development may be key barriers to fully integrated HIEs. State HIEs may benefit from targeted involvement of state health care leaders who can champion the potential value of the HIE.     

Blueprint for aligned data exchange for research and public health

Making EHR Data More Available for Research and Public Health (MedMorph) is a Centers for Disease Control and Prevention-led initiative developing and demonstrating a reference architecture (RA) and implementation, including Health Level Seven International Fast Healthcare Interoperability Resources (HL7 FHIR) implementation guides (IGs), describing how to leverage FHIR for aligned research and public health access to clinical data for automated data exchange. MedMorph engaged a technical expert panel of more than 100 members to model representative use cases, develop IGs (architectural and content), align with existing efforts in the FHIR community, and demonstrate the RA in research and public health uses. The RA IG documents common workflows needed to automatically send research data to Research Patient Data Repositories for multiple use cases. Sharing a common RA and canonical data model will improve data sharing for research and public health needs and generate evidence. MedMorph delivers a robust, reusable method to utilize data from electronic health records addressing multiple research and public health needs.     

Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development

Objective Clinical decision support (CDS) is essential for delivery of high-quality, cost-effective, and safe healthcare. The authors sought to evaluate the CDS capabilities across electronic health record (EHR) systems.Methods We evaluated the CDS implementation capabilities of 8 Office of the National Coordinator for Health Information Technology Authorized Certification Body (ONC-ACB)-certified EHRs. Within each EHR, the authors attempted to implement 3 user-defined rules that utilized the various data and logic elements expected of typical EHRs and that represented clinically important evidenced-based care. The rules were: 1) if a patient has amiodarone on his or her active medication list and does not have a thyroid-stimulating hormone (TSH) result recorded in the last 12 months, suggest ordering a TSH; 2) if a patient has a hemoglobin A1c result >7% and does not have diabetes on his or her problem list, suggest adding diabetes to the problem list; and 3) if a patient has coronary artery disease on his or her problem list and does not have aspirin on the active medication list, suggest ordering aspirin.Results Most evaluated EHRs lacked some CDS capabilities; 5 EHRs were able to implement all 3 rules, and the remaining 3 EHRs were unable to implement any of the rules. One of these did not allow users to customize CDS rules at all. The most frequently found shortcomings included the inability to use laboratory test results in rules, limit rules by time, use advanced Boolean logic, perform actions from the alert interface, and adequately test rules.Conclusion Significant improvements in the EHR certification and implementation procedures are necessary.     

A Secure EHR System Based on Hybrid Clouds

Consequently, application services rendering remote medical services and electronic health record (EHR) have become a hot topic and stimulating increased interest in studying this subject in recent years. Information and communication technologies have been applied to the medical services and healthcare area for a number of years to resolve problems in medical management. Sharing EHR information can provide professional medical programs with consultancy, evaluation, and tracing services can certainly improve accessibility to the public receiving medical services or medical information at remote sites. With the widespread use of EHR, building a secure EHR sharing environment has attracted a lot of attention in both healthcare industry and academic community. Cloud computing paradigm is one of the popular healthIT infrastructures for facilitating EHR sharing and EHR integration. In this paper, we propose an EHR sharing and integration system in healthcare clouds and analyze the arising security and privacy issues in access and management of EHRs.     

EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites

ObjectiveThe Recruitment Innovation Center (RIC), partnering with the Trial Innovation Network and institutions in the National Institutes of Health-sponsored Clinical and Translational Science Awards (CTSA) Program, aimed to develop a service line to retrieve study population estimates from electronic health record (EHR) systems for use in selecting enrollment sites for multicenter clinical trials. Our goal was to create and field-test a low burden, low tech, and high-yield method.Materials and MethodsIn building this service line, the RIC strove to complement, rather than replace, CTSA hubs’ existing cohort assessment tools. For each new EHR cohort request, we work with the investigator to develop a computable phenotype algorithm that targets the desired population. CTSA hubs run the phenotype query and return results using a standardized survey. We provide a comprehensive report to the investigator to assist in study site selection.ResultsFrom 2017 to 2020, the RIC developed and socialized 36 phenotype-dependent cohort requests on behalf of investigators. The average response rate to these requests was 73%.DiscussionAchieving enrollment goals in a multicenter clinical trial requires that researchers identify study sites that will provide sufficient enrollment. The fast and flexible method the RIC has developed, with CTSA feedback, allows hubs to query their EHR using a generalizable, vetted phenotype algorithm to produce reliable counts of potentially eligible study participants.ConclusionThe RIC’s EHR cohort assessment process for evaluating sites for multicenter trials has been shown to be efficient and helpful. The model may be replicated for use by other programs.