Implications of an emerging EHR monoculture for hospitals and healthcare systems

Koppel, Ross; Lehmann, Christoph U.

doi:10.1136/amiajnl-2014-003023

Cited by 121 publications

(94 citation statements)

References 2 publications

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“…The results showed that, while it is technically possible to convert data between these formats, the transformation is ''lossy'' as these formats were created for different purposes and have unique structural differences which inhibit data conversion. Koppel and Lehmann (2015) 23 In the absence of data standards that enable data to be exchanged among eHR systems, one of the advantages of a monopolistic system is a ''de facto establishment of data standards. ''…”

Section: Number Of Companiesmentioning

confidence: 99%

Optimizing the Use of Electronic Data Sources in Clinical Trials: The Landscape, Part 1

Kellar

Bornstein

Caban

et al. 2016

Ther Innov Regul Sci

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Background: TransCelerate BioPharma has created the eSource Initiative with the intent to facilitate the industry's movement toward optimal usage of electronic data sources. Although guidance and standards have been in place for some time, data collection methods and technology have not been utilized to their fullest capability, and transcription between electronic systems continues to be the norm. Methods: The TransCelerate approach for the eSource Initiative is to understand the current landscape and highlight factors that are influencing the adoption of new technologies. As a preliminary step in this process, TransCelerate surveyed member companies regarding eSource usage and barriers. Results: Literature review, stakeholder engagement, and the member survey have provided insight into the current landscape, which will help TransCelerate to develop proposals for best practices for industry utilization of electronic data collection tools and methods to benefit all stakeholders. Conclusions: Based on survey results, companies generally have taken steps to leverage current eSource technologies and prepare for optimal utilization of electronic data sources. The TransCelerate eSource Initiative will continue to evaluate the technology, regulatory, standards, and health care landscape to support the goal of improving global clinical science and global clinical trial execution. Forthcoming publications will focus on technology landscape, future vision, and demonstration projects.

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Section: Number Of Companiesmentioning

confidence: 99%

Optimizing the Use of Electronic Data Sources in Clinical Trials: The Landscape, Part 1

Kellar

Bornstein

Caban

et al. 2016

Ther Innov Regul Sci

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“…We must also acknowledge that cognitive dissonance makes recognition of unintended consequences hard to see. Hospital personnel spend up to five years and sometimes billions of dollars with the implementation process [11]. Careers and budget justifications are on the line for such massive investments.…”

Section: Introductionmentioning

confidence: 99%

Unintended Consequences: New Problems, New Solutions

Koppel

Chen²

2016

Yearb Med Inform

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SummaryObjective: To select the best of the 2015 published papers on unintended consequences of healthcare information technology (HIT). Method: Literature searches in several areas of scholarship, including IT, human factors, evaluation studies, medical errors, medical informatics, and implementation science. Also, because the specific terms "unintended consequences" were not often included in abstracts and titles, a more nuanced search algorithm was developed. Results: We identified 754 papers that had some empirical research on unintended consequences of HIT. An initial screen of titles and abstracts reduced this to 171 papers of potential interest. We then further filtered out papers that did not meet the following criteria: 1) the paper had to report an original empirical investigation, and 2) the impact reported had to be not negligible, i.e., in quantitative studies, the results related to unintended consequences were statistically significant; and in qualitative studies the relevant themes emerged were prominent. This resulted in 33 papers of which 15 were selected as best paper candidates. Each of these 15 papers was then separately evaluated by four reviewers. The final selection of four papers was made jointly by the external reviewers and the two section editors. Conclusions: There is a growing awareness of the importance of HIT's unintended consequences-be they generated by the HIT vendors, the implementation process, the consultants,

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“…We selected this patient portal for study as Epic is replacing other vendors in the EHR market and is beginning to establish a single vendor landscape. Reportedly, Epic has at least partial health information for over 51% of the US population [36]. MyChart mobile app is available for Apple and Android devices.…”

Section: Data Collection and Preparationmentioning

confidence: 99%

What are the Gaps in Mobile Patient Portal? Mining Users Feedback Using Topic Modeling

Noteboom¹,

Al-Ramahi²

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. In this article, we extend the existing literature by discovering design gaps for patient portals from a systematic analysis of negative users' feedback from the actual use of patient portals. Specifically, we adopt topic modeling approach, LDA algorithm, to discover design gaps from online low rating user reviews of a common mobile patient portal, EPIC's mychart. To validate the extracted gaps, we compared the results of LDA analysis with that of human analysis. Overall, the results revealed opportunities to improve collaboration and to enhance the design of portals intended for patientcentered care.

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Implications of an emerging EHR monoculture for hospitals and healthcare systems

Cited by 121 publications

References 2 publications

Optimizing the Use of Electronic Data Sources in Clinical Trials: The Landscape, Part 1

Optimizing the Use of Electronic Data Sources in Clinical Trials: The Landscape, Part 1

Unintended Consequences: New Problems, New Solutions

What are the Gaps in Mobile Patient Portal? Mining Users Feedback Using Topic Modeling

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