scholarly journals Linking Health Records for Federated Query Processing

2016 ◽  
Vol 2016 (3) ◽  
pp. 4-23 ◽  
Author(s):  
Rinku Dewri ◽  
Toan Ong ◽  
Ramakrishna Thurimella
Keyword(s):  
Query Processing ◽  
Data Entry ◽  
Health Record ◽  
Health Records ◽  
Geographically Dispersed ◽  
Medical Institutions ◽  
Combining Data ◽  
Epidemiology Studies ◽  
Secure Set ◽  
Federated Query Processing

Abstract A federated query portal in an electronic health record infrastructure enables large epidemiology studies by combining data from geographically dispersed medical institutions. However, an individual’s health record has been found to be distributed across multiple carrier databases in local settings. Privacy regulations may prohibit a data source from revealing clear text identifiers, thereby making it non-trivial for a query aggregator to determine which records correspond to the same underlying individual. In this paper, we explore this problem of privately detecting and tracking the health records of an individual in a distributed infrastructure. We begin with a secure set intersection protocol based on commutative encryption, and show how to make it practical on comparison spaces as large as 1010 pairs. Using bigram matching, precomputed tables, and data parallelism, we successfully reduced the execution time to a matter of minutes, while retaining a high degree of accuracy even in records with data entry errors. We also propose techniques to prevent the inference of identifier information when knowledge of underlying data distributions is known to an adversary. Finally, we discuss how records can be tracked utilizing the detection results during query processing.

Electronic Health Record for Forensic Dentistry

2008 ◽  
Vol 47 (01) ◽  
pp. 8-13 ◽  
Author(s):  
T. Dostálová ◽  
P. Hanzlíček ◽  
Z. Teuberová ◽  
M. Nagy ◽  
M. Pieš ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Data Entry ◽  
Structured Data ◽  
Health Record ◽  
Forensic Dentistry ◽  
Disaster Victim Identification ◽  
Health Records ◽  
Victim Identification ◽  
Electronic Health

Summary Objectives: To identify support of structured data entry for electronic health record application in forensic dentistry. Methods: The methods of structuring information in dentistry are described and validation of structured data entry in electronic health records for forensic dentistry is performed on several real cases with the interactive DentCross component. The connection of this component to MUDR and MUDRLite electronic health records is described. Results: The use of the electronic health record MUDRLite and the interactive DentCross component to collect dental information required by standardized Disaster Victim Identification Form by Interpol for possible victim identification is shown. Conclusions: The analysis of structured data entry for dentistry using the DentCross component connected to an electronic health record showed the practical ability of the DentCross component to deliver a real service to dental care and the ability to support the identification of a person in forensic dentistry.

scholarly journals Have you got the time? Challenges using vendor electronic health record metrics of provider efficiency

2020 ◽  
Vol 27 (4) ◽  
pp. 644-646 ◽  
Author(s):  
Jonathan D Hron ◽  
Eli Lourie
Keyword(s):  
Data Entry ◽  
Health Record ◽  
Longitudinal Assessment ◽  
Health Records ◽  
Provider Behavior ◽  
Time Motion ◽  
Industry Standards ◽  
Electronic Health ◽  
Motion Studies ◽  
The Impact

Abstract The rise of clinician burnout has been correlated with the increased adoption of electronic health records (EHRs). Some vendors have used data entry logs to measure the amount of time spent using the EHR and have developed metrics of provider efficiency. Initial attempts to utilize these data have proven difficult as it is not always apparent whether variations reflect provider behavior or simply the metric definitions. Metric definitions are also updated intermittently without warning, making longitudinal assessment problematic. Because the metrics are based on proprietary algorithms, they are impossible to validate without costly time–motion studies and are also difficult to compare across institutions and vendors. Clinical informaticians must partner with vendors in order to develop industry standards of EHR use, which could then be used to examine the impact of EHRs on clinician burnout.

Electronic Health Records Implementation in Jordan: Perceptions of Healthcare Providers and Determinant Factors (Preprint)

2020 ◽  
Author(s):  
Tamadur Shudayfat ◽  
Çağdaş Akyürek ◽  
Noha Al-Shdayfat ◽  
Hatem Alsaqqa
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Providers ◽  
Health Record ◽  
Health Records ◽  
Context Factors ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Acceptance of Electronic Health Record systems is considered an essential factor for an effective implementation among the Healthcare providers. In an attempt to understand the healthcare providers’ perceptions on the Electronic Health Record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of Electronic Health Records, the current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. OBJECTIVE The current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. METHODS A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospital participated in the present study. Data was collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. RESULTS Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of Electronic Health Record systems, and subsequently, they accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of Electronic Health Record, which in turn was related to positive attitudes towards Electronic Health Record systems as well as the intention to use them. CONCLUSIONS User attributes, organizational competency, management support and training and education are essential variables in predicting healthcare provider’s acceptance toward Electronic Health records. These findings should be considered by healthcare organizations administration to introduce effective system to other healthcare organizations.

Improving parallelism of federated query processing

2008 ◽  
Vol 64 (3) ◽  
pp. 511-533 ◽  
Author(s):  
Haifeng Jiang ◽  
Dengfeng Gao ◽  
Wen-Syan Li
Keyword(s):  
Query Processing ◽  
Federated Query Processing

scholarly journals Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies

2021 ◽  
Author(s):  
Yumi Wakabayashi ◽  
Masamitsu Eitoku ◽  
Narufumi Suganuma
Keyword(s):  
Electronic Health Record ◽  
Observational Studies ◽  
Large Scale ◽  
Data Sources ◽  
Flow Diagram ◽  
Health Record ◽  
Medical Institutions ◽  
Data Source ◽  
Electronic Health ◽  
Using Data

Abstract Background Interventional studies are the fundamental method for obtaining answers to clinical question. However, these studies are sometimes difficult to conduct because of insufficient financial or human resources or the rarity of the disease in question. One means of addressing these issues is to conduct a non-interventional observational study using electronic health record (EHR) databases as the data source, although how best to evaluate the suitability of an EHR database when planning a study remains to be clarified. The aim of the present study is to identify and characterize the data sources that have been used for conducting non-interventional observational studies in Japan and propose a flow diagram to help researchers determine the most appropriate EHR database for their study goals. Methods We compiled a list of published articles reporting observational studies conducted in Japan by searching PubMed for relevant articles published in the last 3 years and by searching database providers’ publication lists related to studies using their databases. For each article, we reviewed the abstract and/or full text to obtain information about data source, target disease or therapeutic area, number of patients, and study design (prospective or retrospective). We then characterized the identified EHR databases. Results In Japan, non-interventional observational studies have been mostly conducted using data stored locally at individual medical institutions (713/1463) or collected from several collaborating medical institutions (351/1463). Whereas the studies conducted with large-scale integrated databases (195/1463) were mostly retrospective (68.2%), 27.2% of the single-center studies, 46.2% of the multi-center studies, and 74.4% of the post-marketing surveillance studies, identified in the present study, were conducted prospectively. Conclusions Our analysis revealed that the non-interventional observational studies were conducted using data stored local at individual medical institutions or collected from collaborating medical institutions in Japan. Disease registries, disease databases, and large-scale databases would enable researchers to conduct studies with large sample sizes to provide robust data from which strong inferences could be drawn. Using our flow diagram, researchers planning non-interventional observational studies should consider the strengths and limitations of each available database and choose the most appropriate one for their study goals. Trial registration Not applicable.

scholarly journals Development of Standard Indicators to Assess Use of Electronic Health Record Systems Implemented in Low- and Medium-Income Countries

2020 ◽  
Author(s):  
Philomena Njeri Ngugi ◽  
Ankica Babic ◽  
James Kariuki ◽  
Xenophon Santas ◽  
Violet Naanyu ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Quality Indicators ◽  
Nominal Group Technique ◽  
Data Entry ◽  
Nominal Group ◽  
Health Record ◽  
Actual System ◽  
Middle Income ◽  
Actual Usage ◽  
Electronic Health

Abstract BackgroundElectronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique (NGT) process to systematically develop high-quality indicators for evaluating actual usage of EHRs in LMICs.Methods An initial set of 14 candidate indicators were developed by the study team adapting the HIV Monitoring, Evaluation, and Reporting indicators format. A multidisciplinary team of 10 experts was convened in a two-day NGT workshop in Kenya to systematically evaluate, rate (using Specific, Measurable, Achievable, Relevant, and Time-Bound (SMART) criteria), prioritize, refine, and identify new indicators. NGT steps included introduction to candidate indicators, silent indicator ranking, round-robin indicator rating, and silent generation of new indicators. Results: Candidate indicators were rated highly on SMART criteria (4.05/5). NGT participants settled on 15 final indicators, categorized as system use (4); data quality (3), system interoperability (3), and reporting (5). Data entry statistics, systems uptime, and EHRs variable concordance indicators were rated highest. ConclusionThis study describes a systematic approach to develop and validate quality indicators for determining EHRs use and provides LMICs with a multidimensional tool for assessing success of EHRs implementations.

scholarly journals Pilot Study of Meaningful Use of Electronic Health Records in Radiation Oncology

2012 ◽  
Vol 8 (4) ◽  
pp. 219-223 ◽  
Author(s):  
Xinglei Shen ◽  
Adam P. Dicker ◽  
Laura Doyle ◽  
Timothy N. Showalter ◽  
Amy S. Harrison ◽  
...  
Keyword(s):  
Pilot Study ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Radiation Oncology ◽  
Meaningful Use ◽  
Health Record ◽  
Health Records ◽  
Widespread Adoption ◽  
Electronic Health

Most large academic radiation oncology practices have incorporated electronic health record systems into practice and plan to meet meaningful use requirements. Further work should focus on needs of smaller practices, and specific guidelines may improve widespread adoption.

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