Update on the Implementation of Electronic Health Records and Health Information Exchange Networks

2009 ◽  
Vol 32 (6) ◽  
pp. 308-309
Author(s):  
Stacey Ober ◽  
Gloria Craven
Keyword(s):  
Electronic Health Records ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Records ◽  
Exchange Networks ◽  
Electronic Health

scholarly journals The 21st Century Cures Act and electronic health records one year later: will patients see the benefits?

2018 ◽  
Vol 25 (9) ◽  
pp. 1218-1220 ◽  
Author(s):  
Carolyn T Lye ◽  
Howard P Forman ◽  
Jodi G Daniel ◽  
Harlan M Krumholz
Keyword(s):  
Information Technology ◽  
Electronic Health Records ◽  
Health Information ◽  
21St Century ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Patient Access ◽  
Health Records ◽  
Electronic Health ◽  
21St Century Cures Act

Abstract While federal regulation provides patients the right to access their electronic health records and promotes increased use of health information technology, patient access to electronic health records remains limited. The 21st Century Cures Act, signed into law over a year ago, has important provisions that could significantly improve access and availability of health data. Specifically, the provisions call for partnerships among health information exchange networks, educational and research initiatives, and health information technology certification requirements that encourage interoperability. The article reviews the potential benefits and concerns regarding implementation of these provisions, particularly the difficulty of aligning incentives and requirements for data sharing and the question of whether currently proposed rules and guidance will support the goal of improved patient access and health information exchange. Researchers, clinicians, and patients have the power to advocate for improved patient access and interoperability as policy development and implementation of the 21st Century Cures Act continues.

scholarly journals Surveillance of Stillbirth and Syphilis Screening Using Electronic Health Records

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Brian E Dixon ◽  
Jane Wang ◽  
Timothy E O'Connor ◽  
Janet N Arno
Keyword(s):  
Public Health ◽  
Electronic Health Records ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Congenital Syphilis ◽  
The United States ◽  
Health Records ◽  
Syphilis Testing ◽  
Electronic Health

Objective: To measure stillbirth delivery rates and syphilis screening rates among women with a stillbirth delivery using electronic health record data available in a health information exchange.Introduction: Reports of infants born with congenital syphilis have increased in the United States every year since 2012. Prevention depends on high performing surveillance systems and compliance with the U.S. Centers for Disease Control and Prevention (CDC) recommendations to perform syphilis testing early in pregnancy, in the third trimester and at delivery if a woman is at high risk, and following a stillbirth delivery. These guidelines exist, because untreated syphilis is associated with adverse fetal outcomes including central nervous system infection and death.Surveillance of congenital syphilis and stillbirth is challenging because available data sources are limited. Assessment of compliance with testing guidelines is particularly challenging, since public health agencies often lack access to comprehensive cohorts of tested individuals as most public health laws only require reporting of positive disease case information.Methods: Using integrated electronic health records available in a community-based health information exchange, we examined syphilis testing patterns for women with a stillbirth delivery in Indiana between 2010-2016. The cohort was examined to determine whether the women received syphilis testing in accordance with the CDC recommendations. During this time period, Indiana recorded around 84,000 live births per year.Data were extracted from electronic health records, including encounter data, laboratory test results and procedure data, captured by the Indiana Network for Patient Care (INPC), one of the largest community-based HIE networks in the United States. The INPC connects over 90 health care facilities, including hospitals, physicians’ practices, pharmacy networks, long-term post-acute care facilities, laboratories, and radiology centers. In addition to clinical care, the INPC supports surveillance of STIs1.Women with a stillbirth delivery were identified using International Classification of Disease (ICD) Clinical Modification (CM) codes from the 9thand 10th editions (ICD-CM-9 and ICD-CM-10). Inclusion codes: ICD-CM-9 codes 656.4, 779.9, V27.1, V27.3, V27.4, V27.6, V27.7, V32.01, V32.1, V32.2, V36.1; and ICD-CM-10 codes P95, P96.9, O36.4, Z37.1, Z37.3, Z37.4, Z37.9.Using the master person index for the INPC, we linked stillbirth deliveries with pregnancy encounters and laboratory testing data. We analyzed documentation of syphilis testing during the pregnancy (up to 270 days prior to the stillbirth delivery) as well as after the stillbirth delivery (up to 30 days). Broad time ranges were utilized to account for potential delays in reporting of either the stillbirth delivery or the syphilis test results. Documentation could include either presence of a result from a laboratory test for syphilis or a CPT code (80055, 86780, 86781, 86592, 86593) indicating performance of a syphilis test.Results: A total of 4,361 stillbirth deliveries attributable to 4,265 unique women were identified in the INPC between 2010-2016; representing a rate of 7.44 stillbirths per 1,000 live births during the same time period. Of the stillbirth deliveries, syphilis testing occurred within 270 days prior to or 30 days after delivery for 2,763 (63.4%) cases. Figure 1 displays the number of stillbirth cases observed each year and the number of cases in which syphilis testing occurred during the pregnancy or after delivery.Conclusions: Using integrated electronic health records data, we discovered that fetal deaths occurred more frequently (7.44 versus 4.09 per 1,000) than previously estimated2 through fetal death reporting mechanisms in Indiana. Furthermore, we observed increasing rates of stillbirth within Indiana in recent years. Integrated data further enabled measurement of syphilis testing rates for stillbirth cases, which were similar to those reported by Patel et al.3using a large, national administrative data set. Testing rates in Indiana are well below the targets set by national and international public health organizations. Accessing more complete data on populations using a health information exchange is valuable, although doing so may uncover a more negative picture of health in one’s community. Deeper analysis of these trends is warranted to explore factors related to increasing rates as well as limited testing in this population.

scholarly journals Electronic health records in a Blockchain: A systematic review

2019 ◽  
Vol 26 (2) ◽  
pp. 1273-1288 ◽  
Author(s):  
André Henrique Mayer ◽  
Cristiano André da Costa ◽  
Rodrigo da Rosa Righi
Keyword(s):  
Electronic Health Records ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Data Types ◽  
Health Records ◽  
Open Questions ◽  
Peer Network ◽  
Research Questions ◽  
Electronic Health ◽  
Peer To Peer Network

Blockchain could reinvent the way patient’s electronic health records are shared and stored by providing safer mechanisms for health information exchange of medical data in the healthcare industry, by securing it over a decentralized peer-to-peer network. Intending to support and ease the understanding of this distributed ledger technology, a solid Systematic Literature Review was conducted, aiming to explore the recent literature on Blockchain and healthcare domain and identify existing challenges and open questions, guided by the raise of research questions regarding EHR in a Blockchain. More than 300 scientific studies published in the last ten years were surveyed, resulting in an up-to-date taxonomy creation, challenges and open questions identified, and the most significant approaches, data types, standards and architectures regarding the use of Blockchain for EHR were assessed and discussed.

scholarly journals Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255467
Author(s):  
Xia Ning ◽  
Ziwei Fan ◽  
Evan Burgun ◽  
Zhiyun Ren ◽  
Titus Schleyer
Keyword(s):  
Information Retrieval ◽  
Electronic Health Records ◽  
Markov Model ◽  
Collaborative Filtering ◽  
Health Information ◽  
Information Exchange ◽  
New Method ◽  
Electronic Health Record Data ◽  
Health Records ◽  
Electronic Health

Due to the rapid growth of information available about individual patients, most physicians suffer from information overload and inefficiencies when they review patient information in health information technology systems. In this paper, we present a novel hybrid dynamic and multi-collaborative filtering method to improve information retrieval from electronic health records. This method recommends relevant information from electronic health records to physicians during patient visits. It models information search dynamics using a Markov model. It also leverages the key idea of collaborative filtering, originating from Recommender Systems, for prioritizing information based on various similarities among physicians, patients and information items. We tested this new method using electronic health record data from the Indiana Network for Patient Care, a large, inter-organizational clinical data repository maintained by the Indiana Health Information Exchange. Our experimental results demonstrated that, for top-5 recommendations, our method was able to correctly predict the information in which physicians were interested in 46.7% of all test cases. For top-1 recommendations, the corresponding figure was 24.7%. In addition, the new method was 22.3% better than the conventional Markov model for top-1 recommendations.

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