scholarly journals Implementation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 (REMAP-COVID) trial in a US health system—lessons learned and recommendations

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Keyword(s):  
Electronic Health Record ◽  
Health System ◽  
Clinical Care ◽  
Regulatory Compliance ◽  
Lessons Learned ◽  
Health Record ◽  
Trial Management ◽  
Learning Health System ◽  
Management Procedures ◽  
Electronic Health

Abstract Background The Randomized Embedded Multifactorial Adaptive Platform for COVID-19 (REMAP-COVID) trial is a global adaptive platform trial of hospitalized patients with COVID-19. We describe implementation at the first US site, the UPMC health system, and offer recommendations for implementation at other sites. Methods To implement REMAP-COVID, we focused on six major areas: engaging leadership, trial embedment, remote consent and enrollment, regulatory compliance, modification of traditional trial management procedures, and alignment with other COVID-19 studies. Results We recommend aligning institutional and trial goals and sharing a vision of REMAP-COVID implementation as groundwork for learning health system development. Embedment of trial procedures into routine care processes, existing institutional structures, and the electronic health record promotes efficiency and integration of clinical care and clinical research. Remote consent and enrollment can be facilitated by engaging bedside providers and leveraging institutional videoconferencing tools. Coordination with the central institutional review board will expedite the approval process. Protocol adherence, adverse event monitoring, and data collection and export can be facilitated by building electronic health record processes, though implementation can start using traditional clinical trial tools. Lastly, establishment of a centralized institutional process optimizes coordination of COVID-19 studies. Conclusions Implementation of the REMAP-COVID trial within a large US healthcare system is feasible and facilitated by multidisciplinary collaboration. This investment establishes important groundwork for future learning health system endeavors. Trial registration NCT02735707. Registered on 13 April 2016.

scholarly journals Using Electronic Health Record Data to Support Research and Quality Improvement: Practical Guidance from a Qualitative Investigation

ACI Open ◽  
2020 ◽  
Vol 04 (01) ◽  
pp. e91-e101
Author(s):  
Richard C. Wasserman ◽  
Daria F. Ferro
Keyword(s):  
Quality Improvement ◽  
Electronic Health Record ◽  
Health System ◽  
System Level ◽  
Health Record ◽  
Learning Health System ◽  
Level Ii ◽  
Electronic Health ◽  
Level I ◽  
Support Research

Abstract Objective The aim of the study is to identify how academic health centers (AHCs) have established infrastructures to leverage electronic health record (EHR) data to support research and quality improvement (QI). Methods Phone interviews of 18 clinical informaticians with expertise gained over three decades at 24 AHCs were transcribed for qualitative analysis on three levels. In Level I, investigators independently used NVivo software to code and identify themes expressed in the transcripts. In Level II, investigators reexamined coded transcripts and notes and contextualized themes in the learning health system paradigm. In Level III, an informant subsample validated and supplemented findings. Results Level I analysis yielded six key “determinants”—Institutional Relationships, Resource Availability, Data Strategy, Response to Change, Leadership Support, and Degree of Mission Alignment—which, according to local context, affect use of EHR data for research and QI. Level II analysis contextualized these determinants in a practical frame of reference, yielding a model of learning health system maturation, over-arching key concepts, and self-assessment questions to guide AHC progress toward becoming a learning health system. Level III informants validated and supplemented findings. Discussion Drawn from the collective knowledge of experienced informatics professionals, the findings and tools described offer practical support to help clinical informaticians leverage EHR data for research and QI in AHCs. Conclusion The learning health system model builds on the tripartite AHC mission of research, education, and patient care. AHCs must deliberately transform into learning health systems to capitalize fully on EHR data as a staple of health learning.

scholarly journals Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned from ClinGen and eMERGE

2019 ◽  
Author(s):  
Marc S Williams ◽  
Casey Overby Taylor ◽  
Nephi A Walton ◽  
Scott R Goehringer ◽  
Samuel Aronson ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Clinical Decision Making ◽  
Clinical Care ◽  
Genomic Medicine ◽  
Clinical Decision ◽  
Lessons Learned ◽  
Health Record ◽  
Sustainable Solutions ◽  
Electronic Health ◽  
Credible Information

Genomic knowledge is being translated into clinical care. To fully realize the value, it is critical to place credible information in the hands of clinicians in time to support clinical decision-making. The electronic health record is an essential component of clinician workflow. Utilizing the electronic health record to present information to support the use of genomic medicine in clinical care to improve outcomes represents a tremendous opportunity. However, there are numerous barriers that prevent the effective use of the electronic health record for this purpose. The electronic health record working groups of the electronic MEdical Records and GEnomics network (eMERGE) and the Clinical Genome Resource (ClinGen) project, along with other groups, have been defining these barriers, to allow the development of solutions that can be tested using implementation pilots. In this paper, we present ‘lessons learned’ from these efforts to inform future efforts leading to the development of effective and sustainable solutions that will support the realization of genomic medicine.

scholarly journals Establishing a multidisciplinary initiative for interoperable electronic health record innovations at an academic medical center

JAMIA Open ◽  
2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Kensaku Kawamoto ◽  
Polina V Kukhareva ◽  
Charlene Weir ◽  
Michael C Flynn ◽  
Claude J Nanjo ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
User Satisfaction ◽  
Clinical Care ◽  
Academic Medical Center ◽  
Critical Role ◽  
Lessons Learned ◽  
Evaluation Framework ◽  
Health Record ◽  
Digital Innovation ◽  
Electronic Health

Abstract Objective To establish an enterprise initiative for improving health and health care through interoperable electronic health record (EHR) innovations. Materials and Methods We developed a unifying mission and vision, established multidisciplinary governance, and formulated a strategic plan. Key elements of our strategy include establishing a world-class team; creating shared infrastructure to support individual innovations; developing and implementing innovations with high anticipated impact and a clear path to adoption; incorporating best practices such as the use of Fast Healthcare Interoperability Resources (FHIR) and related interoperability standards; and maximizing synergies across research and operations and with partner organizations. Results University of Utah Health launched the ReImagine EHR initiative in 2016. Supportive infrastructure developed by the initiative include various FHIR-related tooling and a systematic evaluation framework. More than 10 EHR-integrated digital innovations have been implemented to support preventive care, shared decision-making, chronic disease management, and acute clinical care. Initial evaluations of these innovations have demonstrated positive impact on user satisfaction, provider efficiency, and compliance with evidence-based guidelines. Return on investment has included improvements in care; over $35 million in external grant funding; commercial opportunities; and increased ability to adapt to a changing healthcare landscape. Discussion Key lessons learned include the value of investing in digital innovation initiatives leveraging FHIR; the importance of supportive infrastructure for accelerating innovation; and the critical role of user-centered design, implementation science, and evaluation. Conclusion EHR-integrated digital innovation initiatives can be key assets for enhancing the EHR user experience, improving patient care, and reducing provider burnout.

scholarly journals Health System Implementation of a Tobacco Quitline eReferral

2019 ◽  
Vol 10 (04) ◽  
pp. 735-742 ◽  
Author(s):  
Eve Angeline Hood-Medland ◽  
Susan L. Stewart ◽  
Hien Nguyen ◽  
Mark Avdalovic ◽  
Scott MacDonald ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Health System ◽  
Best Practice ◽  
Health Record ◽  
System Implementation ◽  
Electronic Health Record Data ◽  
Outpatient Group ◽  
Primary Care Specialty ◽  
Electronic Health ◽  
Order Set

Abstract Background Proactive referrals through electronic orders (eReferrals) can increase patient connection with tobacco quitlines. More information is needed on “real-world” implementation of electronic health record tools to promote tobacco cessation while minimizing provider burden. Objectives This paper examines the health system implementation of an eReferral to a tobacco quitline without best practice alerts in primary care, specialty, and hospital settings in an academic health system. Methods This is a prospective implementation study of a health system tobacco eReferral to a state quitline that was completed with an approach to minimize provider cognitive burden. Data are drawn from electronic health record data at University of California, Davis Health Systems (March 2013–February 2016). Results Over 3 years, 16,083 encounters with smokers resulted in 1,137 eReferral orders (7.1%). Treatment reach was 1.6% for quitline services and 2.3% for outpatient group classes. While the group classes were offered to outpatient smokers, the eReferral order was included in an outpatient order set and eventually an automated inpatient discharge order set; no provider alerts were implemented. Referrals were sustained and doubled after inpatient order set implementation. Among all first time eReferral patients, 12.2% had a 6 to 12 month follow-up visit at which they were documented as nonsmoking. Conclusion This study demonstrates a quitline eReferral order can be successfully implemented and sustained with minimal promotion, without provider alerts and in conjunction with group classes. Reach and effectiveness were similar to previously described literature.

scholarly journals Rethinking the electronic health record through the quadruple aim: time to align its value with the health system

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Hassane Alami ◽  
Pascale Lehoux ◽  
Marie-Pierre Gagnon ◽  
Jean-Paul Fortin ◽  
Richard Fleet ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Health System ◽  
Health Record ◽  
Quadruple Aim ◽  
Electronic Health

scholarly journals Diabetes and Hypertension Quality Measurement in Four Safety-Net Sites

2014 ◽  
Vol 05 (03) ◽  
pp. 757-772 ◽  
Author(s):  
R. Benkert ◽  
P. Dennehy ◽  
J. White ◽  
A. Hamilton ◽  
C. Tanner ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Quality Measurement ◽  
Safety Net ◽  
Lessons Learned ◽  
Health Record ◽  
Partnership Model ◽  
Safety Net Clinics ◽  
Electronic Health ◽  
Query Algorithms

SummaryBackground: In this new era after the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the literature on lessons learned with electronic health record (EHR) implementation needs to be revisited.Objectives: Our objective was to describe what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics, specifically feasibility of data retrieval, measurements over time, quality of data, and how our teams used this data.Methods: A cross-sectional study was conducted from October 2008 to October 2012 in four safety-net clinics located in the Midwest and Western United States. A data warehouse that stores data from across the U.S was utilized for data extraction from patients with diabetes or hypertension diagnoses and at least two office visits per year. Standard quality measures were collected over a period of two to four years. All sites were engaged in a partnership model with the IT staff and a shared learning process to enhance the use of the quality metrics.Results: While use of the algorithms was feasible across sites, challenges occurred when attempting to use the query results for research purposes. There was wide variation of both process and outcome results by individual centers. Composite calculations balanced out the differences seen in the individual measures. Despite using consistent quality definitions, the differences across centers had an impact on numerators and denominators. All sites agreed to a partnership model of EHR implementation, and each center utilized the available resources of the partnership for Center-specific quality initiatives.Conclusions: Utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.Citation: Benkert R, Dennehy P, White J, Hamilton A, Tanner C, Pohl JM. Diabetes and hypertension quality measurement in four safety-net sites: Lessons learned after implementation of the same commercial electronic health record. Appl Clin Inf 2014; 5: 757–772http://dx.doi.org/10.4338/ACI-2014-03-RA-0019

scholarly journals Transition to a new electronic health record and pediatric medication safety: lessons learned in pediatrics within a large academic health system

2018 ◽  
Vol 25 (7) ◽  
pp. 848-854 ◽  
Author(s):  
Kimberly Whalen ◽  
Emily Lynch ◽  
Iman Moawad ◽  
Tanya John ◽  
Denise Lozowski ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Medication Safety ◽  
Pediatric Population ◽  
Care Center ◽  
Tertiary Care ◽  
Lessons Learned ◽  
Future Research ◽  
Health Record ◽  
Electronic Health ◽  
Roll Out

Abstract Objective While the electronic health record (EHR) has become a standard of care, pediatric patients pose a unique set of risks in adult-oriented systems. We describe medication safety and implementation challenges and solutions in the pediatric population of a large academic center transitioning its EHR to Epic. Methods Examination of the roll-out of a new EHR in a mixed neonatal, pediatric and adult tertiary care center with staggered implementation. We followed the voluntarily reported medication error rate for the neonatal and pediatric subsets and specifically monitored the first 3 months after the roll-out of the new EHR. Data was reviewed and compiled by theme. Results After implementation, there was a 5-fold increase in the overall number of medication safety reports; by the third month the rate of reported medication errors had returned to baseline. The majority of reports were near misses. Three major safety themes arose: (1) enterprise logic in rounding of doses and dosing volumes; (2) ordering clinician seeing a concentration and product when ordering medications; and (3) the need for standardized dosing units through age contexts created issues with continuous infusions and pump library safeguards. Conclusions Future research and work need to be focused on standards and guidelines on implementing an EHR that encompasses all age contexts.

scholarly journals The complex case of EHRs: examining the factors impacting the EHR user experience

2019 ◽  
Vol 26 (7) ◽  
pp. 673-677 ◽  
Author(s):  
Michael A Tutty ◽  
Lindsey E Carlasare ◽  
Stacy Lloyd ◽  
Christine A Sinsky
Keyword(s):  
Electronic Health Record ◽  
Health System ◽  
User Experience ◽  
End Users ◽  
Complex Case ◽  
Health Record ◽  
System Leadership ◽  
Electronic Health ◽  
Face Time ◽  
Administrative Tasks

Abstract Physicians can spend more time completing administrative tasks in their electronic health record (EHR) than engaging in direct face time with patients. Increasing rates of burnout associated with EHR use necessitate improvements in how EHRs are developed and used. Although EHR design often bears the brunt of the blame for frustrations expressed by physicians, the EHR user experience is influenced by a variety of factors, including decisions made by entities other than the developers and end users, such as regulators, policymakers, and administrators. Identifying these key influences can help create a deeper understanding of the challenges in developing a better EHR user experience. There are multiple opportunities for regulators, policymakers, EHR developers, payers, health system leadership, and users each to make changes to collectively improve the use and efficacy of EHRs.

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