scholarly journals Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network

2019 ◽  
Vol 10 ◽  
Author(s):  
Marc S. Williams ◽  
Casey Overby Taylor ◽  
Nephi A. Walton ◽  
Scott R. Goehringer ◽  
Samuel Aronson ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Lessons Learned ◽  
Health Record ◽  
Genomic Information ◽  
Electronic Health

scholarly journals A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments

2018 ◽  
Vol 25 (11) ◽  
pp. 1540-1546 ◽  
Author(s):  
Jennifer A Pacheco ◽  
Luke V Rasmussen ◽  
Richard C Kiefer ◽  
Thomas R Campion ◽  
Peter Speltz ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Chart Review ◽  
Free Text ◽  
Health Record ◽  
Local Data ◽  
Electronic Health ◽  
Potential Use

Abstract Electronic health record (EHR) algorithms for defining patient cohorts are commonly shared as free-text descriptions that require human intervention both to interpret and implement. We developed the Phenotype Execution and Modeling Architecture (PhEMA, http://projectphema.org) to author and execute standardized computable phenotype algorithms. With PhEMA, we converted an algorithm for benign prostatic hyperplasia, developed for the electronic Medical Records and Genomics network (eMERGE), into a standards-based computable format. Eight sites (7 within eMERGE) received the computable algorithm, and 6 successfully executed it against local data warehouses and/or i2b2 instances. Blinded random chart review of cases selected by the computable algorithm shows PPV ≥90%, and 3 out of 5 sites had >90% overlap of selected cases when comparing the computable algorithm to their original eMERGE implementation. This case study demonstrates potential use of PhEMA computable representations to automate phenotyping across different EHR systems, but also highlights some ongoing challenges.

EEMI - An Electronic Health Record for Pediatricians

2016 ◽  
Vol 11 (3) ◽  
pp. 57-69 ◽  
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

Commentary on the adoption of the electronic health record

2010 ◽  
Vol 20 (S3) ◽  
pp. 140-142
Author(s):  
Jeffrey R. Boris
Keyword(s):  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Health Record ◽  
Multiple Functions ◽  
Communication Gap ◽  
Electronic Health ◽  
Multiple Challenges ◽  
Share Information

AbstractThe promise of the electronic health record is to provide multiple functions including the ability to easily share information among providers, the ability to order studies, the ability to improve the safety of patients, and the ability to coordinate plans of care. Efforts to achieve these goals face multiple challenges including large expenditures of money, large expenditures of time and effort, and a persistent communication gap between the designers and the users of these electronic medical records.

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 Overcoming barriers to implementing patient-reported outcomes in an electronic health record: a case report

2015 ◽  
Vol 23 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Christopher A Harle ◽  
Alyson Listhaus ◽  
Constanza M Covarrubias ◽  
Siegfried OF Schmidt ◽  
Sean Mackey ◽  
...  
Keyword(s):  
Case Report ◽  
Electronic Health Record ◽  
Patient Reported Outcomes ◽  
System Development ◽  
Lessons Learned ◽  
Health Record ◽  
Patient Reported ◽  
Electronic Health ◽  
Clinical Tools ◽  
The Right

Abstract In this case report, the authors describe the implementation of a system for collecting patient-reported outcomes and integrating results in an electronic health record. The objective was to identify lessons learned in overcoming barriers to collecting and integrating patient-reported outcomes in an electronic health record. The authors analyzed qualitative data in 42 documents collected from system development meetings, written feedback from users, and clinical observations with practice staff, providers, and patients. Guided by the Unified Theory on the Adoption and Use of Information Technology, 5 emergent themes were identified. Two barriers emerged: (i) uncertain clinical benefit and (ii) time, work flow, and effort constraints. Three facilitators emerged: (iii) process automation, (iv) usable system interfaces, and (v) collecting patient-reported outcomes for the right patient at the right time. For electronic health record-integrated patient-reported outcomes to succeed as useful clinical tools, system designers must ensure the clinical relevance of the information being collected while minimizing provider, staff, and patient burden.

Electronic health record technology designed for the clinical encounter: MS neuroSHARE

2020 ◽  
pp. 10.1212/CPJ.0000000000000986
Author(s):  
Riley Bove ◽  
Christa A. Bruce ◽  
Chelsea K. Lunders ◽  
Jennifer R. Pearce ◽  
Jacqueline Liu ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Web Application ◽  
Care Delivery ◽  
Digital Health ◽  
Lessons Learned ◽  
Advisory Group ◽  
Health Record ◽  
Design Development ◽  
Design And Implementation ◽  
Electronic Health

ABSTRACTObjectives:Advances in medical discoveries have bolstered expectations of precise and complete care, but delivering on such a promise for complex, chronic neurological care delivery requires solving last-mile challenges. We describe the iterative human-centered design and pilot process for MS neuroSHARE, a digital health solution that brings practical information to the point-of-care so clinicians and patients with multiple sclerosis (MS) can view, discuss and make informed decisions together.Methods:We initiated a comprehensive human-centered process to iteratively design, develop and implement a digital health solution for managing MS in the routine outpatient setting of the nonprofit Sutter Health system in Northern California. The human-centered co-design process included three phases: Discovery and Design, Development, and Implementation and Pilot. Stakeholders included Sutter Health’s Research Development and Dissemination team, academic domain experts, neurologists, patients with MS, and an Advisory Group.Results:MS neuroSHARE went live in November 2018. It included a patient- and clinician-facing web application that launches from the electronic health record, visually displays a patient’s data relevant to MS, and prompts the clinician to comprehensively evaluate and treat the patient. Both patients and clinicians valued the ability to jointly view patient-generated and other data. Preliminary results suggest that MS neuroSHARE promotes patient-clinician communication and more active patient participation in decision-making.Conclusions:Lessons learned in the design and implementation of MS NeuroSHARE are broadly applicable to the design and implementation of digital tools aiming to improve the experience of delivering and receiving high-quality care for complex, neurological conditions across large health systems.

Secure Storage and Access Scheme for E-Medical Records Using Block Chain Environment

2021 ◽  
Vol 23 (05) ◽  
pp. 776-786
Author(s):  
Sonya A ◽  
◽  
Jeevitha S ◽  
Vaishnavi M ◽  
◽  
...  
Keyword(s):  
Information Security ◽  
Electronic Health Record ◽  
Medical Records ◽  
Medical Services ◽  
Health Record ◽  
Digital Information ◽  
Secure Storage ◽  
Access Scheme ◽  
Block Chain ◽  
Electronic Health

Blockchain has been a fascinating exploration region for quite a while and the advantages it gives have been utilized by various different ventures. Additionally, the medical services area stands to profit tremendously from blockchain innovation because of safety, security, and decentralization. In any case, the Electronic Health Record (EHR) frameworks deal with issues in regards to information security, uprightness, and the executives. In the proposed work, to communicate approximately how the blockchain innovation can be applied to alternate the EHR frameworks and solution of those issues. To propose a system that can be applied for the execution of blockchain innovation in scientific offerings location for EHR. The factor of our proposed system is first and to execute blockchain innovation for EHR and moreover to provide the stable ability of digital information with the aid of using characterizing granular get right of entry to regulations for the customers. Besides, this system examines the flexibility problem seemed with the aid of using the blockchain innovation average through the usage of off-chain stockpiling of the information. This structure offers the benefits of getting an adaptable, stable, and vital blockchain-primarily based totally association with usage of PoW (Proof of Work) Algorithm.

Sign in / Sign up

Export Citation Format

Share Document