Electronic health record (EHR) implementation is currently underway in Canada, as in many other countries. These ambitious projects involve many stakeholders with unique perceptions of the implementation process. EHR users have an important role to play as they must integrate the EHR system into their work environments and use it in their everyday activities. Users hold valuable, first-hand knowledge of what can limit or contribute to the success of EHR implementation projects. A comprehensive synthesis of EHR users' perceptions is key to successful future implementation. This systematic literature review was aimed to synthesize current knowledge of the barriers and facilitators influencing shared EHR implementation among its various users.
Covering a period from 1999 to 2009, a literature search was conducted on nine electronic databases. Studies were included if they reported on users' perceived barriers and facilitators to shared EHR implementation, in healthcare settings comparable to Canada. Studies in all languages with an empirical study design were included. Quality and relevance of the studies were assessed. Four EHR user groups were targeted: physicians, other health care professionals, managers, and patients/public. Content analysis was performed independently by two authors using a validated extraction grid with pre-established categorization of barriers and facilitators for each group of EHR users.
Of a total of 5,695 potentially relevant publications identified, 117 full text publications were obtained after screening titles and abstracts. After review of the full articles, 60 publications, corresponding to 52 studies, met the inclusion criteria. The most frequent adoption factors common to all user groups were design and technical concerns, ease of use, interoperability, privacy and security, costs, productivity, familiarity and ability with EHR, motivation to use EHR, patient and health professional interaction, and lack of time and workload. Each user group also identified factors specific to their professional and individual priorities.
This systematic review presents innovative research on the barriers and facilitators to EHR implementation. While important similarities between user groups are highlighted, differences between them demonstrate that each user group also has a unique perspective of the implementation process that should be taken into account.
In Canada, federal, provincial, and territorial governments are developing an ambitious project to implement an interoperable electronic health record (EHR). Benefits for patients, healthcare professionals, organizations, and the public in general are expected. However, adoption of an interoperable EHR remains an important issue because many previous EHR projects have failed due to the lack of integration into practices and organizations. Furthermore, perceptions of the EHR vary between end-user groups, adding to the complexity of implementing this technology. Our aim is to produce a comprehensive synthesis of actual knowledge on the barriers and facilitators influencing the adoption of an interoperable EHR among its various users and beneficiaries.
First, we will conduct a comprehensive review of the scientific literature and other published documentation on the barriers and facilitators to the implementation of the EHR. Standardized literature search and data extraction methods will be used. Studies' quality and relevance to inform decisions on EHR implementation will be assessed. For each group of EHR users identified, barriers and facilitators will be categorized and compiled using narrative synthesis and meta-analytical techniques. The principal factors identified for each group of EHR users will then be validated for its applicability to various Canadian contexts through a two-round Delphi study, involving representatives from each end-user groups. Continuous exchanges with decision makers and periodic knowledge transfer activities are planned to facilitate the dissemination and utilization of research results in policies regarding the implementation of EHR in the Canadian healthcare system.
Given the imminence of an interoperable EHR in Canada, knowledge and evidence are urgently needed to prepare this major shift in our healthcare system and to oversee the factors that could affect its adoption and integration by all its potential users. This synthesis will be the first to systematically summarize the barriers and facilitators to EHR adoption perceived by different groups and to consider the local contexts in order to ensure the applicability of this knowledge to the particular realities of various Canadian jurisdictions. This comprehensive and rigorous strategy could be replicated in other settings.
There is a major campaign involving large expenditures of public money to increase the adoption rate of electronic health record (EHR) systems in Canada. To maximize the chances of success in this effort, physician views on EHRs must be addressed, since user perceptions are key to successful implementation of technology innovations.
We propose a theoretical model comprising behavioral factors either favoring or against EHR adoption and use in Canadian medical practices, from the physicians’ point of view. EHR perceptions of physicians already using EHR systems are compared with those not using one, through the lens of this model.
We conducted an online cross-sectional survey in both English and French among medical practitioners across Canada. Data were collected both from physicians using EHRs and those not using EHRs, and analyzed with structural equation modeling (SEM) techniques.
We collected 119 responses from EHR users and 100 from nonusers, resulting in 2 valid samples of 102 and 83 participants, respectively. The theoretical adoption model explained 55.8% of the variance in behavioral intention to continue using EHRs for physicians already using them, and 66.8% of the variance in nonuser intention to adopt such systems. Perception of ease of use was found to be the strongest motivator for EHR users (total effect .525), while perceptions of usefulness and of ease of use were the key determinants for nonusers (total effect .538 and .519, respectively) to adopt the system. Users see perceived overall risk associated with EHR adoption as a major obstacle (total effect –.371), while nonusers perceive risk only as a weak indirect demotivator. Of the 13 paths of the SEM model, 5 showed significant differences between the 2 samples (at the .05 level): general doubts about using the system (P = .02), the necessity for the system to be relevant for their job (P < .001), and the necessity for the system to be useful (P = .049) are more important for EHR nonusers than for users, while perceptions of overall obstacles to adoption (P = .03) and system ease of use (P = .042) count more for EHR users than for nonusers.
Relatively few differences in perceptions about EHR system adoption and use exist between physicians already using such systems and those not yet using the systems. To maximize the chances of success for new EHR implementations from a behavioral point of view, general doubts about the rationale for such systems must be mitigated through improving design, stressing how EHRs are relevant to physician jobs, and providing substantiating evidence that EHRs are easier to use and more effective than nonusers might expect.
Electronic health record; information technology; medical practice; Canada
The electronic health record (EHR) is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients, professionals, organisations, and the population as a whole. These benefits cannot be achieved without the adoption of EHR by healthcare professionals. Nevertheless, the influence of individual and organisational factors in determining EHR adoption is still unclear. This study aims to assess the unique contribution of individual and organisational factors on EHR adoption in healthcare settings, as well as possible interrelations between these factors.
A prospective study will be conducted. A stratified random sampling method will be used to select 50 healthcare organisations in the Quebec City Health Region (Canada). At the individual level, a sample of 15 to 30 health professionals will be chosen within each organisation depending on its size. A semi-structured questionnaire will be administered to two key informants in each organisation to collect organisational data. A composite adoption score of EHR adoption will be developed based on a Delphi process and will be used as the outcome variable. Twelve to eighteen months after the first contact, depending on the pace of EHR implementation, key informants and clinicians will be contacted once again to monitor the evolution of EHR adoption. A multilevel regression model will be applied to identify the organisational and individual determinants of EHR adoption in clinical settings. Alternative analytical models would be applied if necessary.
The study will assess the contribution of organisational and individual factors, as well as their interactions, to the implementation of EHR in clinical settings.
These results will be very relevant for decision makers and managers who are facing the challenge of implementing EHR in the healthcare system. In addition, this research constitutes a major contribution to the field of knowledge transfer and implementation science.
Initial attempts are made to implement electronic health record (EHR) in Iran, the present study aim is developing a proper roadmap to EHR in pre-implementation phase by expert views on the matter.
An initial framework was developed for preimplementation based on reviewing literature on EHR implementation and descriptive-comparative with qualitative approaches in five countries. A questionnaire was designed in several sections using 47 main topics associated with pre-implementation. Cronbach’s alpha 0.89 confirmed the reliability of the data. Expert views were used to score each topic based on Likert scale and opinions were collected through Delphi. Then results analyzed using descriptive statistical analysis method.
Framework of EHR pre-implementation roadmap was presented in four phases: preliminaries, assessment, planning, and method of choosing system vendors. Priorities in each part were determined and reflected in the roadmap using expert views, analyses, and requirements of each phase. It seems strategic planning at different levels; assessment of needs; providing and managing financial resources, setting standards; examining the existing condition was determined as highest priorities in above phases.
For successful implementation, developing national carefully-designed and well-documented EHR pre-implementing roadmap, Based on country situation, from strategic to operation level is necessary.
Pre-Implementation; Electronic Health Record (EHR); Roadmap
With the U.S. government calling for electronic health records (EHRs) for all Americans by the year 2014, adoption of an interoperable EHR is imminent in America's future. However, recent estimates for EHR implementation in the ambulatory care environment are just over 10 percent. This second part of a two-part study examines EHR acceptance factors in an academic-based healthcare system. Innovation diffusion theory and the Technology Acceptance Model provide a combined theoretical framework for this case study. An online questionnaire was administered to 802 faculty, fellow, and resident physicians to explore the factors affecting attitudes toward EHR adoption. In this study, age, years in practice, clinical specialty, health system relationship, and prior computer experience were not predictors of EHR acceptance. In order to facilitate successful adoption of health information systems, social and behavioral factors must be addressed during the EHR planning phase.
electronic health records; barriers; user adoption; physicians; attitudes; technology acceptance; health information systems; ambulatory care; diffusion of innovations; perceptions
Electronic health record (EHR) adoption is a national priority in the USA, and well-designed EHRs have the potential to improve quality and safety. However, physicians are reluctant to implement EHRs due to financial constraints, usability concerns, and apprehension about unintended consequences, including the introduction of medical errors related to EHR use. The goal of this study was to characterize and describe physicians' attitudes towards three consequences of EHR implementation: (1) the potential for EHRs to introduce new errors; (2) improvements in healthcare quality; and (3) changes in overall physician satisfaction.
Using data from a 2007 statewide survey of Massachusetts physicians, we conducted multivariate regression analysis to examine relationships between practice characteristics, perceptions of EHR-related errors, perceptions of healthcare quality, and overall physician satisfaction.
30% of physicians agreed that EHRs create new opportunities for error, but only 2% believed their EHR has created more errors than it prevented. With respect to perceptions of quality, there was no significant association between perceptions of EHR-associated errors and perceptions of EHR-associated changes in healthcare quality. Finally, physicians who believed that EHRs created new opportunities for error were less likely be satisfied with their practice situation (adjusted OR 0.49, p=0.001).
Almost one third of physicians perceived that EHRs create new opportunities for error. This perception was associated with lower levels of physician satisfaction.
Electronic medical records; medical errors; hospital information systems; unintended consequences; physician satisfaction; electronic health record; developing/using computerized provider order entry; knowledge representations; classical experimental and quasi-experimental study methods (lab and field); designing usable (responsive) resources and systems; statistical analysis of large datasets; health information technology; quality of care; electronic health records; veterans; primary care; patient safety; decision support; data exchange
Despite mandates and incentives for electronic health record (EHR) adoption, little is known about factors predicting physicians’ satisfaction following EHR implementation.
To measure predictors of physician satisfaction following EHR adoption.
A total of 163 physicians completed a mailed survey before and after EHR implementation through a statewide pilot project in Massachusetts. Multivariable logistic regression identified predictors of physician satisfaction with their current practice situation in 2009 and generalized estimating equations accounted for clustering.
The response rate was 77% in 2005 and 68% in 2009. In 2005, prior to EHR adoption, 28% of physicians were very satisfied with their current practice situation compared to 25% in 2009, following EHR adoption (P < .001). In multivariate analysis, physician satisfaction following EHR adoption was correlated with self-reported ease of EHR implementation (adjusted odds ratio [OR] = 5.7, 95% CI 2.1 - 16), resources for practice improvement (adjusted OR = 2.6, 95% CI 1.2 - 6.1), pre-intervention satisfaction (adjusted OR = 4.8, 95% CI 1.5 - 15), and stress (adjusted OR = 5.3, 95% CI 1.1 - 25). Male physicians reported lower satisfaction following EHR adoption (adjusted OR = 0.3, 95% CI 0.2 - 0.6).
Interventions to expand EHR use should consider additional support for practices with fewer resources for improvement and ensure ease of EHR implementation. EHR adoption may be a factor in alleviating physicians’ stress. Addressing physicians’ satisfaction prior to practice transformation and anticipating greater dissatisfaction among male physicians will be essential to retaining the physician workforce and ensuring the quality of care they deliver.
electronic health record; physician satisfaction; implementation; Massachusetts eHealth collaborative
Moving from paper records to electronic health records (EHRs) has been a challenge for many Alabama hospitals. Implementation of this innovative technology will assist in providing better patient care by allowing for and providing more accurate and available patient information. The purposes of this study were to assess
the status of implementation of EHRs among Alabama hospitals;the factors that are associated with EHR implementation; andthe benefits of, barriers to, and risks of EHR implementation.
A self-completed survey was mailed to 131 directors in the health information management (HIM) department of Alabama hospitals. Of 91 responding hospitals (69 percent response rate), only 12.0 percent have completed implementation of EHRs. The key factor driving electronic health record (EHR) implementation was to improve clinical processes or workflow efficiency. Lack of adequate funding and resources was the major barrier to EHR implementation. Rural hospitals were less likely to implement EHRs when compared with urban hospitals (p = .07). Adoption of EHRs should be evaluated in depth for hospitals, and particularly for rural hospitals. Ways to seek appropriate funding and provide adequate resources should be explored.
Electronic health records; barriers; benefits; implementation; rural hospitals
Access to personal health information through the electronic health record (EHR) is an innovative means to enable people to be active participants in their own health care. Currently this is not an available option for consumers of health. The absence of a key technology, the EHR, is a significant obstacle to providing patient accessible electronic records. To assess the readiness for the implementation and adoption of EHRs in Canada, a national scan was conducted to determine organizational readiness and willingness for patient accessible electronic records.
A survey was conducted of Chief Executive Officers (CEOs) of Canadian public and acute care hospitals.
Two hundred thirteen emails were sent to CEOs of Canadian general and acute care hospitals, with a 39% response rate. Over half (54.2%) of hospitals had some sort of EHR, but few had a record that was predominately electronic. Financial resources were identified as the most important barrier to providing patients access to their EHR and there was a divergence in perceptions from healthcare providers and what they thought patients would want in terms of access to the EHR, with providers being less willing to provide access and patients desire for greater access to the full record.
As the use of EHRs becomes more commonplace, organizations should explore the possibility of responding to patient needs for clinical information by providing access to their EHR. The best way to achieve this is still being debated.
Little is known about physicians' perception of the ease or difficulty of implementing electronic health records (EHR). This study identified factors related to the perceived difficulty of implementing EHR. 163 physicians completed surveys before and after the implementation of EHR in an externally funded pilot program in three Massachusetts communities. Ordinal hierarchical logistic regression was used to identify baseline factors that correlated with physicians' report of difficulty with EHR implementation. Compared with physicians with ownership stake in their practices, physician employees were less likely to describe EHR implementation as difficult (adjusted OR 0.5, 95% CI 0.3 to 1.0). Physicians who perceived their staff to be innovative were also less likely to view EHR implementation as difficult (adjusted OR 0.4, 95% CI 0.2 to 0.8). Physicians who own their practice may need more external support for EHR implementation than those who do not. Innovative clinical support staff may ease the EHR implementation process and contribute to its success.
Data exchange; decision support; electronic health records; group practice; health information technology; implementation; ownership; patient safety; practice management; primary care; quality of care; veterans
EHR/CPOE systems improve completeness of medical record and chemotherapy order documentation, as well as user satisfaction with the medical record system.
Computerized physician order entry (CPOE) in electronic health records (EHR) has been recognized as an important tool in optimal health care provision that can reduce errors and improve safety. The objective of this study is to describe documentation completeness and user satisfaction of medical charts before and after implementation of an outpatient oncology EHR/ CPOE system in a hospital-based outpatient cancer center within three treatment sites.
This study is a retrospective chart review of 90 patients who received one of the following regimens between 1999 and 2006: FOLFOX, AC, carboplatin + paclitaxel, ABVD, cisplatin + etoposide, R-CHOP, and clinical trials. Documentation completeness scores were assigned to each chart based on the number of documented data points found out of the total data points assessed. EHR/CPOE documentation completeness was compared with completeness of paper charts orders of the same regimens. A user satisfaction survey of the paper chart and EHR/CPOE system was conducted among the physicians, nurses, and pharmacists who worked with both systems.
The mean percentage of identified data points successfully found in the EHR/CPOE charts was 93% versus 67% in the paper charts (P < .001). Regimen complexity did not alter the number of data points found. The survey response rate was 64%, and the results showed that satisfaction was statistically significant in favor of the EHR/CPOE system.
Using EHR/CPOE systems improves completeness of medical record and chemotherapy order documentation and improves user satisfaction with the medical record system. EHR/CPOE requires constant vigilance and maintenance to optimize patient safety.
Diverse stakeholders—clinicians, researchers, business leaders, policy makers, and the public—have good reason to believe that the effective use of electronic health care records (EHRs) is essential to meaningful advances in health care quality and patient safety. However, several reports have documented the potential of EHRs to contribute to health care system flaws and patient harm. As organizations (including small hospitals and physician practices) with limited resources for care-process transformation, human-factors engineering, software safety, and project management begin to use EHRs, the chance of EHR-associated harm may increase. The authors propose a coordinated set of steps to advance the practice and theory of safe EHR design, implementation, and continuous improvement. These include setting EHR implementation in the context of health care process improvement, building safety into the specification and design of EHRs, safety testing and reporting, and rapid communication of EHR-related safety flaws and incidents.
Applying multiprofessional electronic health records (EHRs) is expected to improve the quality of patient care and patient safety. Both EHR systems and system users depend on semantic interoperability to function efficiently. A shared clinical terminology comprising unambiguous terms is required for semantic interoperability. Empirical studies of clinical terminology, such as predefined headings, in EHR systems are scarce and limited to one profession or one clinical specialty.
To study predefined headings applied by users in a Swedish multiprofessional EHR system.
Materials and methods
This was a descriptive study of predefined headings (n=3596) applied by 5509 users in a Swedish multiprofessional EHR system. The predefined headings were classified into four term and word categories.
Less than half of the predefined headings were shared by two or more professional groups. All eight professionals groups shared 1.7% of the predefined headings. The distribution of predefined headings across categories yielded two-thirds “terms for special purposes” and “specialist terms” and one-third “common words” and “unclassified headings”.
The indicated presence of profession-specific predefined headings and the conflict between ambiguity and comprehension of terms and words used as headings are discussed.
The predefined headings in the multiprofessional EHR system studied did not constitute a joint language for specific purposes. The improvement of the quality and usability of multiprofessional EHR systems requires attention.
Medical records; health occupations; terminology; documentation; EHR; disability; ICF; early intervention
To promote the widespread adoption and use of electronic health records (EHRs), in 2011, CMS started making Medicare and Medicaid incentive payments to providers who demonstrate that they are “meaningful users” of certified EHR systems.
Data and Methods
This paper combines an expert opinion method, a modified Delphi technique, with a technological diffusion framework to create a forecast of the percent of office-based physicians who will become adopters and “meaningful users” of health information technology from 2012 to 2019. The panel consisted of 18 experts from industry, academia, and government who are knowledgeable about the adoption and use of EHRs in office-based settings and are recognized as opinion leaders in their respective professions.
Overall, the expert panel projected that primary care physicians in large group practices are more likely to achieve the meaningful use of EHRs relative to primary care physicians in small group practices and all other specialists: the group projected that 65 percent of primary care physicians in large group practices, 45 percent of primary care physicians in small group practices, and 44 percent of all other specialists could achieve meaningful use by 2015. In 2019, these projections increase to 80 percent, 65 percent, and 66 percent for these three groups, respectively.
Conclusions and Policy Implications
The information from this study is especially valuable when there is a lack of data and a high degree of uncertainty in a new policy environment and could help inform and evaluate government programs, such as the Regional Extension Centers (REC), by providing data from leading experts.
Health Policy/Politics/Law/Regulation; Incentives in Health Care; Information Technology; Primary Care; Program Evaluation; Qualitative Research; Technology Adoption/Diffusion/Use; Medicare Medicaid
Enabling clinical decision support (CDS) across multiple electronic health record (EHR) systems has been a desired but largely unattained aim of clinical informatics, especially in commercial EHR systems. A potential opportunity for enabling such scalable CDS is to leverage vendor-supported, Web-based CDS development platforms along with vendor-supported application programming interfaces (APIs). Here, we propose a potential staged approach for enabling such scalable CDS, starting with the use of custom EHR APIs and moving towards standardized EHR APIs to facilitate interoperability. We analyzed three commercial EHR systems for their capabilities to support the proposed approach, and we implemented prototypes in all three systems. Based on these analyses and prototype implementations, we conclude that the approach proposed is feasible, already supported by several major commercial EHR vendors, and potentially capable of enabling cross-platform CDS at scale.
The role of usability testing in the evaluation of an electronic health record system could improve chances that the design is integrated with existing workflow and business processes in a clear, efficient way.
An oncology electronic health record (EHR) was implemented without prior usability testing. Before expanding the system to new clinics, this study was initiated to examine the role of usability testing in the evaluation of an EHR product and whether novice users could identify issues with usability that resonated with more experienced users of the system. In addition, our study evaluated whether usability issues with an already implemented system affect efficiency and satisfaction of users.
A general usability guide was developed by a group of five informaticists. Using this guide, four novice users evaluated an EHR product and identified issues. A panel of five experts reviewed the identified issues to determine agreement with and applicability to the already implemented system. A survey of 42 experienced users of the previously implemented EHR was also performed to assess efficiency and general satisfaction.
The novice users identified 110 usability issues. Our expert panel agreed with 90% of the issues and recommendations for correction identified by the novice users. Our survey had a 54% response rate. The majority of the experienced users of the previously implemented system, which did not benefit from upfront usability testing, had a high degree of dissatisfaction with efficiency and general functionality but higher overall satisfaction than expected.
In addition to reviewing features and content of an EHR system, usability testing could improve the chances that the EHR design is integrated with existing workflow and business processes in a clear and efficient way.
This article describes the Web application framework for Electronic Health Records (EHRs) we have developed to reduce construction costs for EHR sytems.
The openEHR project has developed clinical model driven architecture for future-proof interoperable EHR systems. This project provides the specifications to standardize clinical domain model implementations, upon which the ISO/CEN 13606 standards are based. The reference implementation has been formally described in Eiffel. Moreover C# and Java implementations have been developed as reference. While scripting languages had been more popular because of their higher efficiency and faster development in recent years, they had not been involved in the openEHR implementations. From 2007, we have used the Ruby language and Ruby on Rails (RoR) as an agile development platform to implement EHR systems, which is in conformity with the openEHR specifications.
We implemented almost all of the specifications, the Archetype Definition Language parser, and RoR scaffold generator from archetype. Although some problems have emerged, most of them have been resolved.
We have provided an agile EHR Web framework, which can build up Web systems from archetype models using RoR. The feasibility of the archetype model to provide semantic interoperability of EHRs has been demonstrated and we have verified that that it is suitable for the construction of EHR systems.
Electronic Health Records; Internet; Computing Methodologies; Automatic Data Processing
Developing a clinically relevant set of quality measures that can be effectively used by an electronic health record (EHR) is difficult. Whether it is achieving internal consensus on relevant priority quality measures, communicating to EHR vendors' whose programmers generally lack clinical contextual knowledge, or encouraging implementation of EHR that meaningfully impacts health outcomes, the path is challenging. However, greater transparency of population health, better accountability, and ultimately improved health outcomes is the goal and EHRs afford us a realistic chance of reaching it in a scalable way.
In this article, we summarize our experience as a public health government agency with developing measures for a public health oriented EHR in New York City in partnership with a commercial EHR vendor.
From our experience, there are six key lessons that we share in this article that we believe will dramatically increase the chance of success. First, define the scope and build consensus. Second, get support from executive leadership. Third, find an enthusiastic and competent software partner. Fourth, implement a transparent operational strategy. Fifth, create and test the EHR system with real life scenarios. Last, seek help when you need it.
Despite the challenges, we encourage public health agencies looking to build a similarly focused public health EHR to create one both for improved individual patient as well as the larger population health.
The prominence given to universal implementation of electronic health record (EHR) systems in U.S. health care reform, underscores the importance of devising reliable measures of factors that predict medical care providers’ use of EHRs. This paper presents an easily administered provider survey instrument that includes measures corresponding to core dimensions of DeLone and McClean’s (D & M) model of information system success.
Study data came from self-administered surveys completed by 460 primary care providers, who had recently begun using an EHR.
Based upon assessment of psychometric properties of survey items, a revised D&M causal model was formulated that included four measures of the determinants of EHR use (system quality, IT support, ease of use, user satisfaction) and five indicators of provider beliefs about the impact on an individual’s clinical practice. A structural equation model was estimated that demonstrated a high level of inter-correlation between the four scales measuring determinants of EHR use. All four variables had positive association with each of the five individual impact measures. Consistent with our revised D&M model, the association of system quality and IT support with the individual impact measures was entirely mediated by ease of use and user satisfaction.
Survey research provides important insights into provider experiences with EHR. Additional studies are in progress to investigate how the variables constructed for this study are related to direct measures of EHR use.
Electronic health records; health information technology; EHR evaluation; provider assessment of EHR quality
The federal government is promoting adoption of electronic health records (EHRs) through financial incentives for EHR use and implementation support provided by regional extension centers. Small practices have been slow to adopt EHRs.
Our objective was to measure time to EHR implementation and identify factors associated with successful implementation in small practices receiving financial incentives and implementation support. This study is unique in exploiting quantitative implementation time data collected prospectively as part of routine project management.
This mixed-methods study includes interviews of key informants and a cohort study of 544 practices that had worked with the Primary Care Information Project (PCIP), a publicly funded organization that since 2007 has subsidized EHRs and provided implementation support similar to that supplied by the new regional extension centers. Data from a project management database were used for a cohort study to assess time to implementation and predictors of implementation success.
Four hundred and thirty practices (79%) implemented EHRs within the analysis period, with a median project time of 24.7 weeks (95% CI: 23.3 – 26.4). Factors associated with implementation success were: fewer providers, practice sites, and patients; fewer Medicaid and uninsured patients; having previous experience with scheduling software; enrolling in 2010 rather than earlier; and selecting an integrated EHR plus practice management product rather than two products. Interviews identified positive attitude toward EHRs, resources, and centralized leadership as additional practice-level predictors of success.
A local initiative similar to current federal programs successfully implemented EHRs in primary care practices by offsetting software costs and providing implementation assistance. Nevertheless, implementation success was affected by practice size and other characteristics, suggesting that the federal programs can reduce barriers to EHR implementation but may not eliminate them.
Electronic health records; ambulatory care/primary care; implementation and deployment; facilitators and barriers; quantitative methods; mixed methods
The paper hand-held record (PHR) has been widely used as a tool to facilitate communication between health care providers and a pregnant woman. Since its inception in the 1950s, it has been described as a successful initiative, evolving to meet the needs of communities and their providers. Increasingly, the electronic health record (EHR) has dominated the healthcare arena and the maternity general practice shared-care arrangement seems to have adopted this initiative. A systematic review was conducted to determine perspectives of the PHR and the EHR with regards to data completeness; experiences of users and integration of care between women and health care providers.
A literature search was conducted that included papers from 1985 to 2012. Studies were chosen if they fulfilled the inclusion criteria, reporting on: data completeness; experiences of users and integration of care between women and health care providers. Papers were extracted by one reviewer in consultation with two reviewers with expertise in maternity e-health and independently assessed for quality.
A total of 43 papers were identified for the review, from an initial 6,816 potentially relevant publications. No papers were found that reported on data completeness in a maternity PHR or a maternity EHR, in a shared-care setting. Women described the PHR as important to their antenatal care and had a generally positive perception of using an EHR. Hospital clinicians reported generally positive experiences using a PHR, while both positive and negative impressions were found using an EHR. The few papers describing the use of the PHR and EHR by community clinicians were also divergent and inconclusive with regards to their experiences. In a general practice shared-care model, the PHR is a valuable tool for integration between the woman and the health care provider. While the EHR is an ideal initiative in the maternity setting, facilitating referrals and communication, there are issues of fragmentation and continued paper use.
There was a surprising gap in knowledge surrounding data completeness on maternity PHRs or EHRs. There is also a paucity of available impressions from community clinicians using both forms of the records.
Paper hand-held record; Electronic health record; General practitioner; Maternity; Antenatal; Shared-care; Hospital clinician
Effective electronic health record (EHR) implementations in community settings are critical to promoting safe and reliable EHR use as well as mitigating provider dissatisfaction that often results. The implementation challenge is compounded given the scale and scope of EHR installations that are occurring and will continue to occur over the next five years. However, when compared to EHR evaluations relatively few biomedical informatics researchers have published on evaluating EHR implementations. Fewer still have evaluated EHR implementations in community settings. We report on the methods we used to achieve a novel application of an implementation science framework in informatics to qualitatively evaluate community-based EHR implementations. We briefly provide an overview of the implementation science framework, our methods for adapting it to informatics, the effects the framework had on our qualitative methods of inquiry and analysis, and discuss its potential value for informatics research.
Background. Ambulatory care practices have increasing interest in leveraging the capabilities of electronic health record (EHR) systems, but little information is available documenting how organizations have successfully implemented these systems.
Objective. To characterize elements of successful electronic health record (EHR) system implementation and to synthesize the key informants' perspectives about successful implementation practices. Methods. Key informant interviews and focus groups were conducted with a purposive sample of individuals from US healthcare organizations identified for their success with ambulatory EHR implementation. Rigorous qualitative data analyses used both deductive and inductive methods. Results. Participants identified personal and system-related barriers, at both the individual and organization levels, including poor computer skills, productivity losses, resistance to change, and EHR system failure. Implementation success was reportedly facilitated by careful planning and consistent communication throughout distinct stages of the implementation process. A significant element of successful implementation was an emphasis on optimization, both during “go-live” and, subsequently, when users had more experience with the system. Conclusion. Successful EHR implementation requires both detailed planning and clear mechanisms to deal with unforeseen or unintended consequences. Focusing on user buy-in early and including plans for optimization can facilitate greater success.
Implementing electronic health records (EHR) in healthcare settings incurs challenges, none more important than maintaining efficiency and safety during rollout. This report quantifies the impact of offloading low-acuity visits to an alternative care site from the emergency department (ED) during EHR implementation. In addition, the report evaluated the effect of EHR implementation on overall patient length of stay (LOS), time to medical provider, and provider productivity during implementation of the EHR. Overall LOS and time to doctor increased during EHR implementation. On average, admitted patients' LOS was 6–20% longer. For discharged patients, LOS was 12–22% longer. Attempts to reduce patient volumes by diverting patients to another clinic were not effective in minimizing delays in care during this EHR implementation. Delays in ED throughput during EHR implementation are real and significant despite additional providers in the ED, and in this setting resolved by 3 months post-implementation.
Electronic health record; implementation; pediatrics; provider efficiency