Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations

ObjectiveRecent policy making aims to prevent health systems, lectronic health record (EHR) vendors, and others from blocking the electronic sharing of patient data necessary for clinical care. We sought to assess the prevalence of information blocking prior to enforcement of these rules.Materials and MethodsWe conducted a national survey of health information exchange organizations (HIEs) to measure the prevalence of information blocking behaviors observed by these third-party entities. Eighty-nine of 106 HIEs (84%) meeting the inclusion criteria responded.ResultsThe majority (55%) of HIEs reported that EHR vendors at least sometimes engage in information blocking, while 30% of HIEs reported the same for health systems. The most common type of information blocking behavior EHR vendors engaged in was setting unreasonably high prices, which 42% of HIEs reported routinely observing. The most common type of information blocking behavior health systems engaged in was refusing to share information, which 14% of HIEs reported routinely observing. Reported levels of vendor information blocking was correlated with regional competition among vendors and information blocking was concentrated in some geographic regions.DiscussionOur findings are consistent with early reports, revealing persistently high levels of information blocking and important variation by actor, type of behavior, and geography. These trends reflect the observations and experiences of HIEs and their potential biases. Nevertheless, these data serve as a baseline against which to measure the impact of new regulations and to inform policy makers about the most common types of information blocking behaviors.ConclusionEnforcement aimed at reducing information blocking should consider variation in prevalence and how to most effectively target efforts.     

Practice and market factors associated with provider volume of health information exchange

ObjectiveTo assess the practice- and market-level factors associated with the amount of provider health information exchange (HIE) use.Materials and MethodsProvider and practice-level data was drawn from the Meaningful Use Stage 2 Public Use Files from the Centers for Medicare and Medicaid Services, the Physician Compare National Downloadable File, and the Compendium of US Health Systems, among other sources. We analyzed the relationship between provider HIE use and practice and market factors using multivariable linear regression and compared primary care providers (PCPs) to non-PCPs. Provider volume of HIE use is measured as the percentage of referrals sent with electronic summaries of care (eSCR) reported by eligible providers attesting to the Meaningful Use electronic health record (EHR) incentive program in 2016.ResultsProviders used HIE in 49% of referrals; PCPs used HIE in fewer referrals (43%) than non-PCPs (57%). Provider use of products from EHR vendors was negatively related to HIE use, while use of Athenahealth and Greenway Health products were positively related to HIE use. Providers treating, on average, older patients and greater proportions of patients with diabetes used HIE for more referrals. Health system membership, market concentration, and state HIE consent policy were unrelated to provider HIE use.DiscussionHIE use during referrals is low among office-based providers with the capability for exchange, especially PCPs. Practice-level factors were more commonly associated with greater levels of HIE use than market-level factors.ConclusionThis furthers the understanding that market forces, like competition, may be related to HIE adoption decisions but are less important for use once adoption has occurred.     

Exploring the relationship between electronic health records and provider burnout: A systematic review

ObjectiveStress and burnout due to electronic health record (EHR) technology has become a focus for burnout intervention. The aim of this study is to systematically review the relationship between EHR use and provider burnout.Materials and MethodsA systematic literature search was performed on PubMed, EMBASE, PsychInfo, ACM Digital Library in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Inclusion criterion was original research investigating the association between EHR and provider burnout. Studies that did not measure the association objectively were excluded. Study quality was assessed using the Medical Education Research Study Quality Instrument. Qualitative synthesis was also performed.ResultsTwenty-six studies met inclusion criteria. The median sample size of providers was 810 (total 20 885; 44% male; mean age 53 [range, 34-56] years). Twenty-three (88%) studies were cross-sectional studies and 3 were single-arm cohort studies measuring pre- and postintervention burnout prevalence. Burnout was assessed objectively with various validated instruments. Insufficient time for documentation (odds ratio [OR], 1.40-5.83), high inbox or patient call message volumes (OR, 2.06-6.17), and negative perceptions of EHR by providers (OR, 2.17-2.44) were the 3 most cited EHR-related factors associated with higher rates of provider burnout that was assessed objectively.ConclusionsThe included studies were mostly observational studies; thus, we were not able to determine a causal relationship. Currently, there are few studies that objectively assessed the relationship between EHR use and provider burnout. The 3 most cited EHR factors associated with burnout were confirmed and should be the focus of efforts to improve EHR-related provider burnout.     

Sociotechnical challenges to developing technologies for patient access to health information exchange data

Background

Providing patients with access to their medical data is widely expected to help educate and empower them to manage their own health. Health information exchange (HIE) infrastructures could potentially help patients access records across multiple healthcare providers. We studied three HIE organizations as they developed portals to give consumers access to HIE data previously exchanged only among healthcare organizations.

Objective

To follow the development of new consumer portal technologies, and to identify barriers and facilitators to patient access to HIE data.

Methods

Semistructured interviews of 15 key informants over a 2-year period spanning the development and early implementation of three new projects, coded according to a sociotechnical framework.

Results

As the organizations tried to develop functionality that fully served the needs of both providers and patients, plans were altered by technical barriers (primarily related to data standardization) and cultural and legal issues surrounding data access. Organizational changes also played an important role in altering project plans. In all three cases, patient access to data was significantly scaled back from initial plans.

Conclusions

This prospective study revealed how sociotechnical factors previously identified as important in health information technology success and failure helped to shape the evolution of three novel consumer informatics projects. Barriers to providing patients with seamless access to their HIE data were multifactorial. Remedies will have to address technical, organizational, cultural, and other factors.     

Improving newborn screening laboratory test ordering and result reporting using health information exchange

Capture, coding and communication of newborn screening (NBS) information represent a challenge for public health laboratories, health departments, hospitals, and ambulatory care practices. An increasing number of conditions targeted for screening and the complexity of interpretation contribute to a growing need for integrated information-management strategies. This makes NBS an important test of tools and architecture for electronic health information exchange (HIE) in this convergence of individual patient care and population health activities. For this reason, the American Health Information Community undertook three tasks described in this paper. First, a newborn screening use case was established to facilitate standards harmonization for common terminology and interoperability specifications guiding HIE. Second, newborn screening coding and terminology were developed for integration into electronic HIE activities. Finally, clarification of privacy, security, and clinical laboratory regulatory requirements governing information exchange was provided, serving as a framework to establish pathways for improving screening program timeliness, effectiveness, and efficiency of quality patient care services.     

大型综合医院与社区医疗机构的信息交互

社区卫生服务是公共卫生体系中的基础,是当前解决群众看病问题的关键之一。论述了借鉴国外医疗信息交互方面的发展和研究结果,通过使用和开发综合医院与社区医疗机构的网络信息系统,实现大型综合医院和社区医疗服务机构的信息的交互,并进行医疗健康信息的共享。     

美国健康信息交换平台对我国人口健康信息平台可持续运营的启示

通过分析美国健康信息交换平台行业发展的整体情况、合作网络、政府扶持政策和典型案例,提出了我国区域人口健康信息平台可持续运营的方式：根据区域人口规模而非行政层级确定资助平台数量,平台发展阶段采取不同的资助方式,以提高财政资金投入效率;鼓励社会资本进入,提供税收优惠政策,扶持社会组织运营平台;支持平台进行商业模式探索,为个人、医疗机构、药企等提供增值服务;制定统一的平台技术标准和法律协议,并建立平台隐私保护、安全问题的监管机制。     

Enabling adoption and use of new health information technology during implementation: Roles and strategies for internal and external support personnel

ObjectiveSuccessful technological implementations frequently involve individuals who serve as mediators between end users, management, and technology developers. The goal for this project was to evaluate the structure and activities of such mediators in a large-scale electronic health record implementation.Materials and MethodsField notes from observations taken during implementation beginning in November 2017 were analyzed qualitatively using a thematic analysis framework to examine the relationship between specific types of mediators and the type and level of support to end users.ResultsWe found that support personnel possessing both contextual knowledge of the institution’s workflow and training in the new technology were the most successful in mediation of adoption and use. Those that lacked context of either technology or institutional workflow often displayed barriers in communication, trust, and active problem solving.ConclusionsThese findings suggest that institutional investment in technology training and explicit programs to foster skills in mediation, including roles for professionals with career development opportunities, prior to implementation can be beneficial in easing the pain of system transition.     

Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program

ObjectiveTo give providers a better understanding of how to use the electronic health record (EHR), improve efficiency, and reduce burnout.Materials and MethodsAll ambulatory providers were offered at least 1 one-on-one session with an “optimizer” focusing on filling gaps in EHR knowledge and lack of customization. Success was measured using pre- and post-surveys that consisted of validated tools and homegrown questions. Only participants who returned both surveys were included in our calculations.ResultsOut of 1155 eligible providers, 1010 participated in optimization sessions. Pre-survey return rate was 90% (1034/1155) and post-survey was 54% (541/1010). 451 participants completed both surveys. After completing their optimization sessions, respondents reported a 26% improvement in mean knowledge of EHR functionality (P < .01), a 19% increase in the mean efficiency in the EHR (P < .01), and a 17% decrease in mean after-hours EHR usage (P < .01). Of the 401 providers asked to rate their burnout, 32% reported feelings of burnout in the pre-survey compared to 23% in the post-survey (P < .01). Providers were also likely to recommend colleagues participate in the program, with a Net Promoter Score of 41.DiscussionIt is possible to improve provider efficiency and feelings of burnout with a personalized optimization program. We ascribe these improvements to the one-on-one nature of our program which provides both training as well as addressing the feeling of isolation many providers feel after implementation.ConclusionIt is possible to reduce burnout in ambulatory providers with personalized retraining designed to improve efficiency and knowledge of the EHR.     

Let the left hand know what the right is doing: a vision for care coordination and electronic health records

Despite the potential for electronic health records to help providers coordinate care, the current marketplace has failed to provide adequate solutions. Using a simple framework, we describe a vision of information technology capabilities that could substantially improve four care coordination activities: identifying collaborators, contacting collaborators, collaborating, and monitoring. Collaborators can include any individual clinician, caregiver, or provider organization involved in care for a given patient. This vision can be used to guide the development of care coordination tools and help policymakers track and promote their adoption.     

Building the evidence-base to reduce electronic health record–related clinician burden

Clinicians face competing pressures of being clinically productive while using imperfect electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR use is increasingly associated with clinician burnout and underscores the need for interventions to improve clinicians’ experiences. With an aim of addressing this need, we share evidence-based informatics approaches, pragmatic next steps, and future research directions to improve 3 of the highest contributors to EHR burden: (1) documentation, (2) chart review, and (3) inbox tasks. These approaches leverage speech recognition technologies, natural language processing, artificial intelligence, and redesign of EHR workflow and user interfaces. We also offer a perspective on how EHR vendors, healthcare system leaders, and policymakers all play an integral role while sharing responsibility in helping make evidence-based sociotechnical solutions available and easy to use.     

Use of health information technology in home health and hospice agencies: United States, 2007

Objective

This report provides updated estimates on use of electronic medical records (EMRs) in US home health and hospice (HHH) agencies, describes utilization of EMR functionalities, and presents novel data on telemedicine and point of care documentation (PoCD) in this setting.

Design

Nationally representative, cross-sectional survey of US HHH agencies conducted in 2007.

Measurements

Data on agency characteristics, current use of EMR systems as well as use of telemedicine and PoCD were collected.

Results

In 2007, 43% of US HHH agencies reported use of an EMR system. Patient demographics (40%) and clinical notes (34%) were the most commonly used EMR functions among US HHH agencies. Only 20% of agencies with EMR systems had health information sharing functionality and about half of them used it. Telemedicine was used by 21% of all HHH agencies, with most (87%) of these offering home health services. Among home health agencies using telemedicine, greater than 90% used telephone monitoring and about two-thirds used non-video monitoring. Nearly 29% of HHH agencies reported using electronic PoCD systems, most often for Outcome and Assessment Information Set (OASIS) data capture (79%). Relative to for-profit HHH agencies, non-profit agencies used considerably more EMR (70% vs 28%, p<0.001) and PoCD (63% vs 9%, p<0.001).

Conclusions

Between 2000 and 2007, there was a 33% increase in use of EMR among HHH agencies in the US. In 2007, use of EMR and PoCD technologies in non-profit agencies was significantly higher than for-profit ones. Finally, HHH agencies generally tended to use available EMR functionalities, including health information sharing.     

探究医院电子信息交换标准HL7

医药信息学在医学应用中的最大领域就是医院信息系统(Hospital Infornation System,HIS),随着HIS的快速发展,需要我们有一个开放的,统一的HIS开发和交换的标准.HL7是1987年开始发展起来的一个专门规范医疗机构用于临床信息,财务信息和管理信息电子信息交换的标准.它特别适合于解决不同厂商开发的医院信息系统、临床实验室系统及药学信息系统之间的互连问题.HL7在国内的发展刚刚起步,但是我国医疗卫生信息化发展很快,尤其是医疗保险、社区医疗和区域卫生信息系统等,都十分需要标准化的支持,HL7将成为建设这些系统的重要基础和关键技术.     

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

ObjectiveSocial determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes. Despite increased interest in capturing SDoH in electronic health records (EHRs), such information is typically locked in unstructured clinical notes. Natural language processing (NLP) is the key technology to extract SDoH information from clinical text and expand its utility in patient care and research. This article presents a systematic review of the state-of-the-art NLP approaches and tools that focus on identifying and extracting SDoH data from unstructured clinical text in EHRs.Materials and MethodsA broad literature search was conducted in February 2021 using 3 scholarly databases (ACL Anthology, PubMed, and Scopus) following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 6402 publications were initially identified, and after applying the study inclusion criteria, 82 publications were selected for the final review.ResultsSmoking status (n = 27), substance use (n = 21), homelessness (n = 20), and alcohol use (n = 15) are the most frequently studied SDoH categories. Homelessness (n = 7) and other less-studied SDoH (eg, education, financial problems, social isolation and support, family problems) are mostly identified using rule-based approaches. In contrast, machine learning approaches are popular for identifying smoking status (n = 13), substance use (n = 9), and alcohol use (n = 9).ConclusionNLP offers significant potential to extract SDoH data from narrative clinical notes, which in turn can aid in the development of screening tools, risk prediction models, and clinical decision support systems.     

Integrity of clinical information in radiology reports documenting pulmonary nodules

ObjectiveQuantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports and assess impact on making follow-up recommendations.Materials and MethodsThis Institutional Review Board-approved, retrospective cohort study was performed at an academic medical center. Natural language processing was performed on radiology reports of CT scans of chest, abdomen, or spine completed in 2016 to assess presence of pulmonary nodules, excluding patients with lung cancer, of which 300 reports were randomly sampled to form the study cohort. Documentation of nodule characteristics were manually extracted from reports by 2 authors with 20% overlap. CT images corresponding to 60 randomly selected reports were further reviewed by a thoracic radiologist to record nodule characteristics. Documentation completeness for all characteristics were reported in percentage and compared using χ² analysis. Concordance with a thoracic radiologist was reported as percentage agreement; impact on making follow-up recommendations was assessed using kappa.ResultsDocumentation completeness for pulmonary nodule characteristics differed across variables (range = 2%–90%, P < .001). Concordance with a thoracic radiologist was 75% for documenting nodule laterality and 29% for size. Follow-up recommendations were in agreement in 67% and 49% of reports when there was lack of completeness and concordance in documenting nodule size, respectively.DiscussionEssential pulmonary nodule characteristics were under-reported, potentially impacting recommendations for pulmonary nodule follow-up.ConclusionLack of documentation of pulmonary nodule characteristics in radiology reports is common, with potential for compromising patient care and clinical decision support tools.     

L7的现状、应用与进展

HL7是实现电子病历互连互通、互操作性最重要的信息交换内容和格式的标准。经过20年的发展,目前已成为一个广泛覆盖、普遍应用的世界性标准集,并部分地被美国官方选择为医疗卫生信息交换的强制性标准。对HL7的发展与进展进行一综述,概要但准确地给h~HL7在各领域的新进展,包括HL7与MeaningfulUse的关系、HL7与医疗质量、Infobutten、FHIR、CCDA,也简要介绍THL7的发展历程、知识产权的新政策以及开发应用HL7标准的常用工具。对HL7有一个全面、正确的轮廓性了解,对于当今我国电子病历与区域卫生信息化的健康发展,十分必要和有益。     

驻藏官兵睡眠质量及心理健康水平调查分析

目的调查分析驻藏部队官兵睡眠质量和心理健康状况。方法采用随机抽样法,选择驻西藏部队官兵208名,以在西藏高原居住时间为标准分为适应组和习服期组,分别采用PSQI和SCL-90量表进行睡眠质量和心理健康状况调查。结果习服期组PSQI总分明显高于适应组（P〈0.01）,而且影响睡眠的各个因子的得分除催眠药物之外都显著或非常显著地高于适应组的得分（P〈0.05、P〈0.01）。驻藏部队官兵SCL-90总分和强迫症状、精神病性、躯体化、抑郁和焦虑因子分值显著或非常显著地高于中国军人常模（P〈0.05、P〈0.01）;并且适应组躯体化、精神病性、强迫症状、抑郁和焦虑因子分值非常显著地高于习服期组（P〈0.01）,而SCL-90总分和人际敏感等其他因子分值与习服期组相比,差异无统计学意义（P〉0.05）。结论在高原缺氧环境下,习服期组官兵由于尚未完全适应高原环境,其睡眠质量较适应组差;而适应组官兵由于驻藏时间较长,其心理健康状况差于习服期组。应根据驻扎时间等不同特点采取针对性措施以改善驻藏部队官兵的睡眠质量、提高心理健康水平。     

PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records

ObjectiveDeveloping algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to streamline the phenotyping process within EHRs.Materials and MethodsPheMap is a knowledge base of medical concepts with quantified relationships to phenotypes that have been extracted by natural language processing from publicly available resources. PheMap searches EHRs for each phenotype’s quantified concepts and uses them to calculate an individual’s probability of having this phenotype. We compared PheMap to clinician-validated phenotyping algorithms from the Electronic Medical Records and Genomics (eMERGE) network for type 2 diabetes mellitus (T2DM), dementia, and hypothyroidism using 84 821 individuals from Vanderbilt Univeresity Medical Center''s BioVU DNA Biobank. We implemented PheMap-based phenotypes for genome-wide association studies (GWAS) for T2DM, dementia, and hypothyroidism, and phenome-wide association studies (PheWAS) for variants in FTO, HLA-DRB1, and TCF7L2. ResultsIn this initial iteration, the PheMap knowledge base contains quantified concepts for 841 disease phenotypes. For T2DM, dementia, and hypothyroidism, the accuracy of the PheMap phenotypes were >97% using a 50% threshold and eMERGE case-control status as a reference standard. In the GWAS analyses, PheMap-derived phenotype probabilities replicated 43 of 51 previously reported disease-associated variants for the 3 phenotypes. For 9 of the 11 top associations, PheMap provided an equivalent or more significant P value than eMERGE-based phenotypes. The PheMap-based PheWAS showed comparable or better performance to a traditional phecode-based PheWAS. PheMap is publicly available online.ConclusionsPheMap significantly streamlines the process of extracting research-quality phenotype information from EHRs, with comparable or better performance to current phenotyping approaches.