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Electronic Health

Electronic Health Records, Electronic Prescribing and Medication Errors: A Systematic Review of Literature, 2000-2014

Electronic Health Records, Electronic Prescribing and Medication Errors: A Systematic Review of Literature, 2000-2014

... the health information available, reducing duplication of tests, and reducing delays in ...The electronic health records have benefits for patients and physicians and other stakeholders including ...

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Security Control Requirements for Electronic  Health Records

Security Control Requirements for Electronic Health Records

... Abstract:- Health Information System is fundamental in provision of dependable information in support of delivery of healthcare ...of Electronic Health Records (EHR) provides improved patient care ...

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Malware Intrusion in Electronic Health Record

Malware Intrusion in Electronic Health Record

... - Electronic Health Records which is the ongoing, patient-centered record system that makes the fundamental data accessible to the approved clients incorporates specialists, patients, and other nursing and ...

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Interoperability of Electronic Health Record

Interoperability of Electronic Health Record

... An Electronic Health Record Systems (EHR) is the central information system of a ...(World Health Organization) has developed a standard known as ICD “International Classification of ...

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Electronic Health Records (EHR)

Electronic Health Records (EHR)

... A requirement for all EHR’s is the application called computerized physician order entry or CPOE. CPOE is an application used by physicians to order laboratory, pharmacy, radiology services, and other physician orders ...

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A review of adoption of electronic health records in middle east countries

A review of adoption of electronic health records in middle east countries

... an electronic health record, it may not be the same as other electronic health records developed in different ...of electronic health record system your institution/country ...

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Developing an electronic health record (EHR) for methadone treatment recording and decision support

Developing an electronic health record (EHR) for methadone treatment recording and decision support

... Good Electronic Health Record (GEHR) framework [9], where the archetype concept originates, applied the approach to data from a hospital to GP communi- cation project and a GP software integration ...

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Implementing electronic health records

Implementing electronic health records

... Health care providers’ readiness is connected to base- line levels of computer knowledge. In each of the 3 stud- ies, participants had varying levels of knowledge of and experience with computers. A participant in ...

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Electronic Health Record Analysis via Deep Poisson Factor Models

Electronic Health Record Analysis via Deep Poisson Factor Models

... Alternatively, topic models built using modules other than DPs have been proposed recently, for instance the Replicated Softmax Model (RSM) (Hinton and Salakhutdinov, 2009) based on RBMs[r] ...

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Electronic Health Records

Electronic Health Records

... Exploiting these distinctive highlights above in an EHRs framework, blockchain empowers the administration of verification, classification, responsibility, and information sharing while [r] ...

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Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach

Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach

... of electronic health records (EHRs) frames opportunities for using ma- chine learning to build models that help healthcare providers improve patient ...the health record system at a large hospital in ...

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Developing a Standardized Medical Speech Recognition Database for Reconstructive Hand Surgery

Developing a Standardized Medical Speech Recognition Database for Reconstructive Hand Surgery

... While Electronic Health Records (EHRs) have replaced the traditional paper-based records in most healthcare organizations, the data entry into these systems remains largely ...accurate electronic ...

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Registry-Linked Electronic Influenza Vaccine Provider Reminders: A Cluster-Crossover Trial

Registry-Linked Electronic Influenza Vaccine Provider Reminders: A Cluster-Crossover Trial

... During “ on ” periods, the electronic in fl uenza vaccination reminder appeared for health care providers in the electronic health record.... Final vaccination status after clinic visits [r] ...

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Structure-Leveraged Methods in Breast Cancer Risk Prediction

Structure-Leveraged Methods in Breast Cancer Risk Prediction

... In conclusion, our results demonstrate that including structure information in the com- putational methods we test improves breast cancer risk prediction. Our models use diverse breast cancer risk factors including ...

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What to expect from electronic patient record system implementation: lessons learned from published evidence

What to expect from electronic patient record system implementation: lessons learned from published evidence

... 77. Yadav S, Kazanji N, K C N, Paudel S, Falatko J, Shoichet S, et al. Comparison of accuracy of physical examination find- ings in initial progress notes between paper charts and a newly implemented electronic ...

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Laboratory tests as short-term correlates of stroke

Laboratory tests as short-term correlates of stroke

... Electronic health records (EHRs) are rapidly being adopted by medical providers, and are now used by the majority of office-based physicians and hospitals in the US [6, ...

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Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders

Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders

... Qualitative Examination of Topics: Electronic Health Records We show the top- 4 words for the EHR-only θ-p DTM in table 1. (We choose a small K for brevity, larger K have similar and additional patterns.) ...

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Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation

... Despite tremendous progress in computer vision, there has not been an attempt to apply machine learning on very large-scale medical image databases. We present an interleaved text/image deep learning system to extract ...

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The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes

The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes

... The novel elements of this work are as follows. (1) We estimate the effects of many drugs on many health outcomes simultaneously. Borrowing strength across similar drugs and outcomes allows us to create better ...

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Decrypting ``Cryptogenic'' Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients

Decrypting ``Cryptogenic'' Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients

... One reason for the failure of the combined strategies is that each feature has its own idiosyncrasies, which when not accounted for will introduce noise in the ranking/detection process.[r] ...

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