PCN345 Understanding the IMPACT of Assessment Frequency on the Study of Adverse Effects (AES) Using Oncology Electronic Health Records (EHRS)

Background. Shared decision making (SDM) involves the sharing of best available evidence between patients and providers in the face of difficult decisions. We examine outcomes that occur when electronic health records (EHRs) are purposefully used with the goal of improving SDM and detail which EHR functions can benefit SDM. Methods. A systematic search of PubMed yielded 1369 articles. Studies were included only if they used EHR interventions to support SDM and included results that showed impact on SDM. Articles were excluded if they did not measure the impact of the intervention on SDM or did not discuss how SDM had been supported by the EHR. Results. Five studies demonstrated improved clinical outcomes, positive lifestyle behavior changes, more deliberation from patients regarding use of imaging, and less decisional conflict about medication use among patients with use of EHRs aiding SDM. Discussion. Few EHRs have integrated SDM, and even fewer evaluations of these exist. EHRs have potential in supporting providers during all steps of SDM. The promise of EHRs to support SDM has yet to be fully exploited.

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The Impact of the Global, Extensible Electronic Health Record

Managing Healthcare Information Systems with Web-Enabled Technologies ◽

10.4018/978-1-878289-65-0.ch001 ◽

2011 ◽

pp. 3-13 ◽

Cited By ~ 2

Author(s):

David W. Forslund ◽

David G. Kilman

Keyword(s):

Electronic Health Records ◽

Negative Impact ◽

Global Scale ◽

Global Perspective ◽

Health Records ◽

Technological Advances ◽

The World ◽

Electronic Health ◽

The Impact

With the arrival of the “World Wide Web,” we have witnessed a transition toward a truly global perspective with respect to electronic health records. In recent years, much more discussion has focused on the potential for international virtual electronic health records and what is required for them to become a reality in the world today (Kilman & Forslund, 1997). As the Internet becomes more ubiquitous and Web-enabled, we see access to electronic health records using these technologies becoming more commonplace. Even so, these Web-enabled health records still remain technologically isolated from other medical records in the distributed continuum of care; much of the standardization challenge still stands before us. We have witnessed startling technological advances, but we still face considerable obstacles to the goal of having globally standardized electronic health records. In this chapter we describe some of the issues associated with Web-enabled health records, the role of standards in the evolution of Web-enabled health records, and some of the barriers to the development of globally accessible electronic health records. We discuss possible ways to overcome these barriers and the kinds of benefits and opportunities that global health records will help provide. The global scale perspective makes more evident the very real and potentially tragic consequences of prolonged and unnecessary delays in deploying these technologies. Therefore, in an effort to promote a fuller consciousness of health safety, the chapter concludes with a comparative look at the negative impact of impediments in the movement toward global extensible electronic health records.

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The Impact of Electronic Health Records on Ambulatory Costs Among Medicaid Beneficiaries

Medicare & Medicaid Research Review ◽

10.5600/mmrr.003.02.a03 ◽

2013 ◽

Vol 3 (2) ◽

pp. E1-E16

Author(s):

Julia Adler-Milstein ◽

Claudia Salzberg ◽

Calvin Franz ◽

E. Orav ◽

David Bates

Keyword(s):

Electronic Health Records ◽

Health Records ◽

Medicaid Beneficiaries ◽

Electronic Health ◽

The Impact

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What is the Impact of Electronic Health Records on the Quality of Health Data?

Health Information Management Journal ◽

10.1177/183335831404300106 ◽

2014 ◽

Vol 43 (1) ◽

pp. 42-43 ◽

Cited By ~ 6

Author(s):

Joanne Callen

Keyword(s):

Electronic Health Records ◽

Health Data ◽

Health Records ◽

Electronic Health ◽

The Impact

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The Impact of Geography on Hospital Electronic Health Records Implementation in Alabama

Applied Clinical Informatics ◽

10.4338/aci-2011-01-ra-0001 ◽

2011 ◽

Vol 02 (03) ◽

pp. 270-283

Author(s):

D. Au ◽

R. Weech-Maldonado ◽

S.H. Houser

Keyword(s):

Electronic Health Records ◽

Rural Areas ◽

Logistic Models ◽

Rural Hospitals ◽

Perceived Barriers ◽

Motivating Factors ◽

Health Records ◽

Electronic Health ◽

The Impact ◽

Analyze Data

Summary Background: Given relatively less favorable health outcomes in rural Alabama, electronic health records (EHRs) have an even greater potential to improve quality and alleviate disparities if meaningfully used. Objectives: We examined rural-urban differences as it pertained to perceived barriers, benefits, and motivating factors of EHR implementation. Methods: We used multivariate logistic models to analyze data collected from a state-wide, self-completed survey of health information management directors in Alabama hospitals. Results: Findings from our analyses indicate that fewer rural hospitals (8%) have implemented EHRs as compared with urban hospitals (18%). Rural hospitals were 71% less likely to consider reduction in costs as a benefit of EHRs (OR = 0.29), and were 75% less likely to consider lack of structured technology as a challenge factor of EHR implementation (OR = 0.25). Conclusion: Promotion of EHRs in rural areas is challenging but necessary. Understanding perceived barriers and motivating factors of EHR implementation among rural hospitals can inform policy decisions, especially in light of recent meaningful use initiatives.

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The impact of interoperability of electronic health records on ambulatory physician practices: a discrete-event simulation study

Informatics in Primary Care ◽

10.14236/jhi.v21i1.36 ◽

2014 ◽

Vol 21 (1) ◽

pp. 21-29 ◽

Cited By ~ 14

Author(s):

Yuan Zhou ◽

Jessica S Ancker ◽

Mandar Upahdye ◽

Nicolette M McGeorge ◽

Theresa K Guarrera ◽

...

Keyword(s):

Electronic Health Records ◽

Discrete Event Simulation ◽

Simulation Study ◽

Discrete Event ◽

Health Records ◽

Physician Practices ◽

Event Simulation ◽

Electronic Health ◽

The Impact

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Analysis of Risk Factors Progression of Preterm Delivery Using Electronic Health Records

10.21203/rs.3.rs-78033/v1 ◽

2020 ◽

Author(s):

Zeineb Safi ◽

Neethu Venugopal ◽

Haytham Ali ◽

Michel Makhlouf ◽

Sabri Boughorbel

Keyword(s):

Risk Factors ◽

Electronic Health Records ◽

Preterm Delivery ◽

Control Group ◽

Study Cohort ◽

Patient History ◽

Health Records ◽

Time Points ◽

Electronic Health ◽

The Impact

Abstract Background: Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase the risk of preterm deliveries is an important step in the direction of mitigating the impact and reducing the frequency of occurrence of preterm deliveries. The purpose of this work is to identify preterm delivery risk factors and their progression throughout the pregnancy from a large collection of Electronic Health Records (EHR). Results: The study cohort includes more than 60,000 deliveries in the USA with the complete medical history from EHR for diagnoses, medications, procedures and demographics. We propose a temporal analysis of risk factors by estimating and comparing risk ratios at different time points prior to the delivery event. We selected the following time points before delivery: 9, 6, 3 and 1 month(s). We did so by conducting a retrospective cohort study of patient history for a selected set of mothers who delivered preterm and a control group of mothers that delivered full-term. We analyzed the extracted data using a logistic regression model. The results of our analyses showed that the highest risk ratio corresponds to history of previous preterm delivery. Other risk factors were identified, some of which are consistent with those that are reported in the literature, others need further investigation. Conclusions: The comparative analysis of the risk factors at different time points showed that risk factors in the early pregnancy related to patient history and chronic condition, while the risk factors in late pregnancy are specific to the current pregnancy. Our analysis unifies several previously reported studies on preterm risk factors. It also gives important insights on the changes of risk factors in the course of pregnancy.

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