Read by QxMD icon Read

cloud EHR

Maryam Ahmadi, Nasim Aslani
Background: With regard to the high cost of the Electronic Health Record (EHR), in recent years the use of new technologies, in particular cloud computing, has increased. The purpose of this study was to review systematically the studies conducted in the field of cloud computing. Methods: The present study was a systematic review conducted in 2017. Search was performed in the Scopus, Web of Sciences, IEEE, Pub Med and Google Scholar databases by combination keywords...
2018: Acta Informatica Medica: AIM
Sofia Curland, Elena Meirzadeh, Hagai Cohen, David Ehre, Joachim Maier, Meir Lahav, Igor Lubomirsky
The pyroelectricity of AgI crystals strongly affects the icing temperature of super-cooled water, as disentangled from that of epitaxy. This deduction was achieved by the design of polar crystalline ceramic pellets of AgI, with experimentally determined sense of polarity. These pellets are suitable for measuring both their pyroelectric properties as well as the icing temperature of super-cooled water, separately on each of the expressed Ag+ and I- hemihedral surfaces. The positive pyroelectric charge at the silver-enriched side elevates the icing temperature, whereas the negative charge at the iodide side decreases that temperature...
June 11, 2018: Angewandte Chemie
Brooke N Wolford, Cristen J Willer, Ida Surakka
The combination of electronic health records (EHRs) with genetic data has ushered in the next wave of complex disease genetics. Population-based biobanks and other large cohorts provide sufficient sample sizes to identify novel genetic associations across the hundreds to thousands of phenotypes gleaned from EHRs. In this review, we summarize the current state of these EHR-linked biobanks, explore ongoing methods development in the field and highlight recent discoveries of genetic associations. We enumerate the many existing biobanks with EHRs linked to genetic data, many of which are available to researchers via application and contain sample sizes >50 000...
May 1, 2018: Human Molecular Genetics
Shefali Setia Verma, Anurag Verma, Anna Okula Basile, Marta-Byrska Bishop, Christian Darabos
The analysis of large biomedical data often presents with various challenges related to not just the size of the data, but also to data quality issues such as heterogeneity, multidimensionality, noisiness, and incompleteness of the data. The data-intensive nature of computational genomics problems in biomedical informatics warrants the development and use of massive computer infrastructure and advanced software tools and platforms, including but not limited to the use of cloud computing. Our session aims to address these challenges in handling big data for designing a study, performing analysis, and interpreting outcomes of these analyses...
2018: Pacific Symposium on Biocomputing
T Delespierre, P Denormandie, A Bar-Hen, L Josseran
BACKGROUND: Korian is a private group specializing in medical accommodations for elderly and dependent people. A professional data warehouse (DWH) established in 2010 hosts all of the residents' data. Inside this information system (IS), clinical narratives (CNs) were used only by medical staff as a residents' care linking tool. The objective of this study was to show that, through qualitative and quantitative textual analysis of a relatively small physiotherapy and well-defined CN sample, it was possible to build a physiotherapy corpus and, through this process, generate a new body of knowledge by adding relevant information to describe the residents' care and lives...
August 22, 2017: BMC Medical Informatics and Decision Making
Jette Henderson, Ryan Bridges, Joyce C Ho, Byron C Wallace, Joydeep Ghosh
As the adoption of Electronic Healthcare Records has grown, the need to transform manual processes that extract and characterize medical data into automatic and high-throughput processes has also grown. Recently, researchers have tackled the problem of automatically extracting candidate phenotypes from EHR data. Since these phenotypes are usually generated using unsupervised or semi-supervised methods, it is necessary to examine and validate the clinical relevance of the generated "candidate" phenotypes. We present PheKnow-Cloud, a framework that uses co-occurrence analysis on the publicly available, online repository ofjournal articles, PubMed, to build sets of evidence for user-supplied candidate phenotypes...
2017: AMIA Summits on Translational Science Proceedings
Hyeoun-Ae Park, Joo Yun Lee, Jeongah On, Ji Hyun Lee, Hyesil Jung, Seul Ki Park
OBJECTIVES: The objective of this study was to review and visualize the medical informatics field over the previous 12 months according to the frequencies of keywords and topics in papers published in the top four journals in the field and in Healthcare Informatics Research (HIR), an official journal of the Korean Society of Medical Informatics. METHODS: A six-person team conducted an extensive review of the literature on clinical and consumer informatics. The literature was searched using keywords employed in the American Medical Informatics Association year-in-review process and organized into 14 topics used in that process...
April 2017: Healthcare Informatics Research
Shihao Yang, Mauricio Santillana, John S Brownstein, Josh Gray, Stewart Richardson, S C Kou
BACKGROUND: Accurate influenza activity forecasting helps public health officials prepare and allocate resources for unusual influenza activity. Traditional flu surveillance systems, such as the Centers for Disease Control and Prevention's (CDC) influenza-like illnesses reports, lag behind real-time by one to 2 weeks, whereas information contained in cloud-based electronic health records (EHR) and in Internet users' search activity is typically available in near real-time. We present a method that combines the information from these two data sources with historical flu activity to produce national flu forecasts for the United States up to 4 weeks ahead of the publication of CDC's flu reports...
May 8, 2017: BMC Infectious Diseases
Cheng Guo, Ruhan Zhuang, Yingmo Jie, Yizhi Ren, Ting Wu, Kim-Kwang Raymond Choo
An effectively designed e-healthcare system can significantly enhance the quality of access and experience of healthcare users, including facilitating medical and healthcare providers in ensuring a smooth delivery of services. Ensuring the security of patients' electronic health records (EHRs) in the e-healthcare system is an active research area. EHRs may be outsourced to a third-party, such as a community healthcare cloud service provider for storage due to cost-saving measures. Generally, encrypting the EHRs when they are stored in the system (i...
November 2016: Journal of Medical Systems
Rebecca Grochow Mishuris, Jordan Yoder, Dan Wilson, Devin Mann
BACKGROUND: Health information is increasingly being digitally stored and exchanged. The public is regularly collecting and storing health-related data on their own electronic devices and in the cloud. Diabetes prevention is an increasingly important preventive health measure, and diet and exercise are key components of this. Patients are turning to online programs to help them lose weight. Despite primary care physicians being important in patients' weight loss success, there is no exchange of information between the primary care provider (PCP) and these online weight loss programs...
July 11, 2016: BMC Medical Informatics and Decision Making
Fatemeh Rezaeibagha, Yi Mu
BACKGROUND: Data sharing in electronic health record (EHR) systems is important for improving the quality of healthcare delivery. Data sharing, however, has raised some security and privacy concerns because healthcare data could be potentially accessible by a variety of users, which could lead to privacy exposure of patients. Without addressing this issue, large-scale adoption and sharing of EHR data are impractical. The traditional solution to the problem is via encryption. Although encryption can be applied to access control, it is not applicable for complex EHR systems that require multiple domains (e...
May 2016: International Journal of Medical Informatics
Robert Chen, Hang Su, Mohammed Khalilia, Sizhe Lin, Yue Peng, Tod Davis, Daniel A Hirsh, Elizabeth Searles, Javier Tejedor-Sojo, Michael Thompson, Jimeng Sun
The predictive modeling process is time consuming and requires clinical researchers to handle complex electronic health record (EHR) data in restricted computational environments. To address this problem, we implemented a cloud-based predictive modeling system via a hybrid setup combining a secure private server with the Amazon Web Services (AWS) Elastic MapReduce platform. EHR data is preprocessed on a private server and the resulting de-identified event sequences are hosted on AWS. Based on user-specified modeling configurations, an on-demand web service launches a cluster of Elastic Compute 2 (EC2) instances on AWS to perform feature selection and classification algorithms in a distributed fashion...
2015: AMIA ... Annual Symposium Proceedings
Jake Luo, Min Wu, Deepika Gopukumar, Yiqing Zhao
Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and the application of electronic health records (EHRs) is documenting large amounts of patient data. The cost of acquiring and analyzing biomedical data is expected to decrease dramatically with the help of technology upgrades, such as the emergence of new sequencing machines, the development of novel hardware and software for parallel computing, and the extensive expansion of EHRs...
2016: Biomedical Informatics Insights
Sherry Mostofi, Andrew L Hoffman
Electronic health record (EHR) solutions provide many potential benefits for dental practices, whether those programs run internally on a dental practice's computers or are cloud-based solutions. However, these programs also create new risks for a dental practice, which may be mitigated through due diligence and adequate contractual provisions to ensure protection for dentists. This article addresses the legal considerations associated with a dentist entering into a service contract with an EHR vendor.
May 2015: Journal of the California Dental Association
Shinji Kobayashi, Naoto Kume, Hiroyuki Yoshihara
In 2001, we developed an EHR system for regional healthcare information inter-exchange and to provide individual patient data to patients. This system was adopted in three regions in Japan. We also developed a Medical Markup Language (MML) standard for inter- and intra-hospital communications. The system was built on a legacy platform, however, and had not been appropriately maintained or updated to meet clinical requirements. To improve future maintenance costs, we reconstructed the EHR system using archetype technology on the Ruby on Rails platform, and generated MML equivalent forms from archetypes...
2015: Studies in Health Technology and Informatics
Isabel de la Torre-Díez, Miguel Lopez-Coronado, Begonya Garcia-Zapirain Soto, Amaia Mendez-Zorrilla
BACKGROUND: The combination of eHealth applications and/or services with cloud technology provides health care staff—with sufficient mobility and accessibility for them—to be able to transparently check any data they may need without having to worry about its physical location. OBJECTIVE: The main aim of this paper is to put forward secure cloud-based solutions for a range of eHealth services such as electronic health records (EHRs), telecardiology, teleconsultation, and telediagnosis...
2015: Journal of Medical Internet Research
Stathis Th Konstantinidis, Per Egil Kummervold, Luis Fernandez Luque, Lars Kristian Vognild
In the era of social media, semantic web and big data, a huge amount of health-related information, knowledge and resources exist on the Web. Patients and healthcare professionals should spend enormous effort and time in order to find health-trusted information, while the appropriate technologies to interlink and retrieve this type of information already exist. In this paper we propose a framework to enrich DIPS, the most deployed Norwegian EHR System, with health-trusted information for patients and state-of-the-art resources for healthcare professionals...
2015: Studies in Health Technology and Informatics
Bogdan Ionescu, Cristian Gadea, Bogdan Solomon, Dan Ionescu, Vasile Stoicu-Tivadar, Mircea Trifan
For more than a decade, the eHealth initiative has been a government concern of many countries. In an Electronic Health Record (EHR) System, there is a need for sharing the data with a group of specialists simultaneously. Collaborative platforms alone are just a part of a solution, while a collaborative platform with parallel editing capabilities and with synchronized data streaming are stringently needed. In this paper, the design and implementation of a collaborative platform used in healthcare is introduced by describing the high level architecture and its implementation...
2015: Studies in Health Technology and Informatics
(no author information available yet)
The pHealth 2015 Conference is the 12th in a series of scientific events bringing together expertise from medical, technological, political, administrative, and social domains, and even from philosophy or linguistics. It opens a new chapter in the success story of the series of international conferences on wearable or implantable micro and nano technologies for personalized medicine by presenting keynotes, invited talks, oral presentations, and short poster presentations provided by close to 100 authors from 20 countries from various parts of the world...
2015: Studies in Health Technology and Informatics
Ashish Atreja, Sameer Khan, Jason D Rogers, Emamuzo Otobo, Nishant P Patel, Thomas Ullman, Jean Fred Colombel, Shirley Moore, Bruce E Sands
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic condition of the bowel that affects over 1 million people in the United States. The recurring nature of disease makes IBD patients ideal candidates for patient-engaged care that is centered on enhanced self-management and improved doctor-patient communication. In IBD, optimal approaches to management vary for patients with different phenotypes and extent of disease and past surgical history. Hence, a single quality metric cannot define a heterogeneous disease such as IBD, unlike hypertension and diabetes...
February 18, 2015: JMIR Research Protocols
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"