scholarly journals Real-time clinician text feeds from electronic health records

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
James T. H. Teo ◽  
Vlad Dinu ◽  
William Bernal ◽  
Phil Davidson ◽  
Vitaliy Oliynyk ◽  
...  
Keyword(s):  
Social Media ◽  
Electronic Health Records ◽  
Real Time ◽  
Capacity Planning ◽  
Low Cost ◽  
Disease Outbreaks ◽  
Record System ◽  
Health Records ◽  
Keywords And Phrases ◽  
Electronic Health

AbstractAnalyses of search engine and social media feeds have been attempted for infectious disease outbreaks, but have been found to be susceptible to artefactual distortions from health scares or keyword spamming in social media or the public internet. We describe an approach using real-time aggregation of keywords and phrases of freetext from real-time clinician-generated documentation in electronic health records to produce a customisable real-time viral pneumonia signal providing up to 4 days warning for secondary care capacity planning. This low-cost approach is open-source, is locally customisable, is not dependent on any specific electronic health record system and can provide an ensemble of signals if deployed at multiple organisational scales.

scholarly journals Real-time clinician text feeds from electronic health records

2020 ◽  
Author(s):  
James Teo ◽  
Vlad Dinu ◽  
William Bernal ◽  
Phil Davidson ◽  
Vitaliy Oliynyk ◽  
...  
Keyword(s):  
Social Media ◽  
Electronic Health Records ◽  
Real Time ◽  
Capacity Planning ◽  
Low Cost ◽  
Free Text ◽  
Record System ◽  
Health Records ◽  
Keywords And Phrases ◽  
Electronic Health

AbstractAnalyses of search engine and social media feeds have been attempted for infectious disease outbreaks1, but have been found to be susceptible to artefactual distortions from health scares or keyword spamming in social media or the public internet 2–4. We describe an approach using real-time aggregation of keywords and phrases of free text from real-time clinician-generated documentation in electronic health records to produce a customisable real-time viral pneumonia signal providing up to 2 days warning for secondary care capacity planning. This low-cost approach is open-source, is locally customisable, is not dependent on any specific electronic health record system and can be deployed at multiple organisational scales.

Electronic Health Record System using Blockchain

2019 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Sangeetha R ◽  
Harshini B ◽  
Shanmugapriya A ◽  
Rajagopal T.K.P.
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Family Health ◽  
Health Record ◽  
Medical Organization ◽  
Record System ◽  
Health Records ◽  
Related Information ◽  
Health Related ◽  
Electronic Health

This paper deals with the Electronic Health Records for storing information of the patient which consist of the medical reports. Electronic Health Records (EHRs) are entirely controlled by Hospitals instead of patients, which complicates seeking medical advices from different hospitals. In the existing system of storing details of the patients are very dependent on the servers of the organization. In the proposed all the information of the patient are stored in the blockchain by using the Metamask and these details are stored in the block chain as a blocks of data. Each block consists of the data which is encrypted data. Electronic Health Record (EHR) systems record health-related information on an individual so that it can be consulted by clinicians or staff for patient care. The data is encrypted by the algorithm known as SHA-256 which is used to encrypt all the data of the patients into a single line 256 bit encrypted text which will be stored in the block at etherscan. These records for not only useful for the consultation but also for creation of historic family health information tree that keeps track of genetic health issues and diseases it can also be used for any health service with the authorization from both the patient and medical organization.

scholarly journals Secure Exchange of Medical Data Using a Novel Real-Time Biometric-Based Protection and Recognition Method

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2013
Author(s):  
Shams Ud Din ◽  
Zahoor Jan ◽  
Muhammad Sajjad ◽  
Maqbool Hussain ◽  
Rahman Ali ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Real Time ◽  
Signal To Noise Ratio ◽  
Security And Privacy ◽  
The Internet ◽  
Healthcare Organizations ◽  
Health Records ◽  
Clinical Notes ◽  
Electronic Health ◽  
Value Decomposition

Security and privacy are essential requirements, and their fulfillment is considered one of the most challenging tasks for healthcare organizations to manage patient data using electronic health records. Electronic health records (clinical notes, images, and documents) become more vulnerable to breaching patients’ privacy when shared with an external organization in the current arena of the internet of medical things (IoMT). Various watermarking techniques were introduced in the medical field to secure patients’ data. Most of the existing techniques focus on an image or document’s imperceptibility without considering the watermark(logo). In this research, a novel technique of watermarking is introduced, which supersedes the shortcomings of existing approaches. It guarantees the imperceptibility of the image/document and takes care of watermark(biometric), which is further passed through a process of recognition for claiming ownership. It extracts suitable frequencies from the transform domain using specialized filters to increase the robustness level. The extracted frequencies are modified by adding the biomedical information while considering the strength factor according to the human visual system. The watermarked frequencies are further decomposed through a singular value decomposition technique to increase payload capacity up to (256 × 256). Experimental results over a variety of medical and official images demonstrate the average peak signal-to-noise ratio (PSNR 54.43), and the normal correlation (N.C.) value is 1. PSNR and N.C. of the watermark were calculated after attacks. The proposed technique is working in real-time for embedding, extraction, and recognition of biometrics over the internet, and its uses can be realized in various platforms of IoMT technologies.

scholarly journals Blockchain Usage in the Electronic Health Record System using Attribute-Based Signature

2019 ◽  
Vol 8 (2S11) ◽  
pp. 993-997
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Patient Data ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Health Records ◽  
Block Chain ◽  
Electronic Health ◽  
The Government

Block-chain is a list of records which are stored in its blocks that are linked through cryptography. It is used previously for bitcoin transactions only. Now the government and also other organizations are going to use this block-chain in different fields. Electronic Health Records (EHRs) are used for storing the information about the patients. In EHR the information is stored in the paper through web which has some disadvantages. Here we use block-chain and Attribute- Based Signatures (ABS) to store the information about the patient’s in the blocks of block-chain which is stored in cloud. By this we can provide security to the patient data and also there are no storage problems and also through ABS we provide some attributes to the users who are going to access the data of patient.

Integration of Real-Time Electronic Health Records and Wireless Technology in a Mobile Stroke Unit

2019 ◽  
Vol 28 (9) ◽  
pp. 2530-2536 ◽  
Author(s):  
Brandi Schimpf ◽  
Kathy Deanda ◽  
David A. Severenuk ◽  
Tara M. Montgomery ◽  
Gregory D. Cooley ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Real Time ◽  
Stroke Unit ◽  
Wireless Technology ◽  
Health Records ◽  
Mobile Stroke Unit ◽  
Electronic Health

The My Health Record System: Potential to Undermine the Paradigm of Patient Confidentiality?

2019 ◽  
Vol 42 (2) ◽  
Author(s):  
Gabrielle Wolf ◽  
Danuta Mendelson
Keyword(s):  
Electronic Health Records ◽  
Healthcare Providers ◽  
Health Record ◽  
Sensitive Information ◽  
Record System ◽  
Health Records ◽  
Patient Confidentiality ◽  
Health Practitioners ◽  
Electronic Health ◽  
Traditional Paradigm

Australia’s national electronic health records system – known as the ‘My Health Record (‘MHR’) system’ – may threaten to undermine the traditional paradigm of patient confidentiality within the therapeutic relationship. Historically, patients have felt comfortable imparting sensitive information to their health practitioners on the understanding that such disclosures are necessary and will be relied on principally for the purpose of treating them. The MHR system potentially facilitates access to patients’ health information by individuals and entities beyond the practitioners who are directly providing them with healthcare and, in some circumstances, without the patients’ consent. It may also enable patients’ health practitioners and their employees to read records that those practitioners did not create or receive in the course of treating the patients and that are irrelevant to their treatment of them. The MHR system could have harmful consequences for individual and public health if patients become unwilling to disclose information to their healthcare providers because they fear it will not remain confidential. In addition to examining the risks of breaches of patient confidentiality in the MHR system, this article considers how the potential benefits of an electronic health records system might be achieved while maintaining patient confidentiality to a significant extent.

scholarly journals Persisting workarounds in Electronic Health Record System use: types, risks and benefits

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Albert Boonstra ◽  
Tess L. Jonker ◽  
Marjolein A. G. van Offenbeek ◽  
Janita F. J. Vos
Keyword(s):  
Electronic Health Records ◽  
Health Professionals ◽  
Single Case ◽  
Structured Interviews ◽  
Dutch Hospital ◽  
Record System ◽  
Health Records ◽  
Risks And Benefits ◽  
Working Practices ◽  
Electronic Health

Abstract Background Electronic Health Records (EHRs) are now widely used to create a single, shared, and reliable source of patient data throughout healthcare organizations. However, health professionals continue to experience mismatches between their working practices and what the EHR allows or directs them to do. Health professionals adopt working practices other than those imposed by the EHR to overcome such mismatches, known as workarounds. Our study aims to inductively develop a typology of enduring EHR workarounds and explore their consequences by answering the question: What types of EHR workarounds persist, and what are the user-perceived consequences? Methods This single case study was conducted within the Internal Medicine department of a Dutch hospital that had implemented an organization-wide, commercial EHR system over two years ago. Data were collected through observations of six EHR users (see Additional file 1, observation scheme) and 17 semi-structured interviews with physicians, nurses, administrators, and EHR support staff members. Documents were analysed to contextualize these data (see Additional file 2, interview protocol). Results Through a qualitative analysis, 11 workarounds were identified, predominantly performed by physicians. These workarounds are categorized into three types either performed while working with the system (in-system workflow sequence workarounds and in-system data entry workarounds) or bypassing the system (out-system workarounds). While these workarounds seem to offer short-term benefits for the performer, they often create threats for the user, the patient, the overall healthcare organization, and the system. Conclusion This study increases our understanding of the enduring phenomenon of working around Electronic Health Records by presenting a typology of those workarounds that persist after adoption and by reflecting on the user-perceived risks and benefits. The typology helps EHR users and their managers to identify enduring types of workarounds and differentiate between the harmful and less harmful ones. This distinction can inform their decisions to discourage or obviate the need for certain workarounds, while legitimating others.

scholarly journals Electronic Health Records-Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Development and Usability Study (Preprint)

2020 ◽  
Author(s):  
Alvin Chandra ◽  
Steven T Philips ◽  
Ambarish Pandey ◽  
Mujeeb Basit ◽  
Vaishnavi Kannan ◽  
...  
Keyword(s):  
Heart Failure ◽  
Clinical Practice ◽  
Electronic Health Records ◽  
Real Time ◽  
Cancer Patients ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Health Records ◽  
Electronic Health ◽  
Cardiovascular Care

BACKGROUND Professional society guidelines are emerging for cardiovascular care in cancer patients. How effectively the cancer survivor population is screened and treated for cardiomyopathy in contemporary clinical practice remains unclear. As EHRs are now widely used in clinical practice, we tested the hypothesis whether an EHR-based cardio-oncology registry can address these questions. OBJECTIVE To develop an electronic health records (EHR)-based pragmatic cardio-oncology registry and, as proof of principle, to investigate care gaps in cardiovascular care of cancer patients. METHODS We generated programmatically a de-identified, real-time, EHR-based cardio-oncology registry from all patients in our institutional Cancer Population Registry (n=8275, 2011-2017). We investigated: 1) left ventricular ejection fraction (LVEF) assessment before and after treatment with potentially cardiotoxic agents, and 2) guideline-directed medical therapy (GDMT) for left ventricular dysfunction (LVD), defined as LVEF<50%, and symptomatic heart failure with reduced LVEF (HFrEF), defined as LVEF<50% and problem list documentation of systolic congestive heart failure or dilated cardiomyopathy. RESULTS Rapid development of an EHR-based cardio-oncology registry was feasible. Identification of tests and outcomes was similar by EHR-based cardio-oncology registry and manual chart abstraction (98% sensitivity and 92% specificity for LVD). LVEF was documented prior to initiation of cancer therapy in 20% of patients. Prevalence of post-chemotherapy LVD and HFrEF was relatively low (9% and 2.5%, respectively). Among patients with post-chemotherapy LVD or HFrEF, those referred to cardiology had significantly higher prescription of GDMT. CONCLUSIONS EHR data can efficiently populate a real-time, pragmatic cardio-oncology registry as a byproduct of clinical care for healthcare delivery investigation.

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