Electronic health record

Summary

An electronic health record (EHR) is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings. Records are shared through network-connected, enterprise-wide information systems or other information networks and exchanges. EHRs may include a range of data, including demographics, medical history, medication and allergies, immunization status, laboratory test results, radiology images, vital signs, personal statistics like age and weight, and billing information. For several decades, electronic health records (EHRs) have been touted as key to increasing of quality care. Electronic health records are used for other reasons than charting for patients; today, providers are using data from patient records to improve quality outcomes through their care management programs. EHR combines all patients demographics into a large pool, and uses this information to assist with the creation of "new treatments or innovation in healthcare delivery" which overall improves the goals in healthcare. Combining multiple types of clinical data from the system's health records has helped clinicians identify and stratify chronically ill patients. EHR can improve quality care by using the data and analytics to prevent hospitalizations among high-risk patients. EHR systems are designed to store data accurately and to capture the state of a patient across time. It eliminates the need to track down a patient's previous paper medical records and assists in ensuring data is up-to-date, accurate and legible. It also allows open communication between the patient and the provider, while providing "privacy and security." It can reduce risk of data replication as there is only one modifiable file, which means the file is more likely up to date and decreases risk of lost paperwork and is cost efficient. Due to the digital information being searchable and in a single file, EMRs (electronic medical records) are more effective when extracting medical data for the examination of possible trends and long term changes in a patient.

Official source

https://en.wikipedia.org/wiki/Electronic_health_record

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Related publications (3)

Protecting Privacy and Security of Genomic Data in i2b2 with Homomorphic Encryption and Differential Privacy

Jean-Pierre Hubaux, Jean Louis Raisaro, Gwangbae Choi, Nathalie Jacquemont, Nicolas Rosat

Re-use of patients’ health records can provide tremendous benefits for clinical research. Yet, when researchers need to access sensitive/identifying data, such as genomic data, in order to compile cohorts of well-characterized patients for specific studies, privacy and security concerns represent major obstacles that make such a procedure extremely difficult if not impossible. In this paper, we address the challenge of designing and deploying in a real operational setting an efficient privacy-preserving explorer for genetic cohorts. Our solution is built on top of the i2b2 (Informatics for Integrating Biology and the Bedside) framework and leverages cutting-edge privacy-enhancing technologies such as homomorphic encryption and differential privacy. Solutions involving homomorphic encryption are often believed to be costly and immature for use in operational environments. Here, we show that, for specific applications, homomorphic encryption is actually a very efficient enabler. Indeed, our solution outperforms prior work by enabling a researcher to securely compute simple statistics on more than 3,000 encrypted genetic variants simultaneously for a cohort of 5,000 individuals in less than 5 seconds with commodity hardware. To the best of our knowledge, our privacy-preserving solution is the first to also be successfully deployed and tested in a operation setting (Lausanne University Hospital).

IEEE2018

Privacy-Preserving Exploration of Genetic Cohorts with i2b2 At Lausanne University Hospital

Jean-Pierre Hubaux, Jean Louis Raisaro, Gwangbae Choi, Nathalie Jacquemont, Nicolas Rosat

Re-use of patients’ health records can provide tremendous benefits for clinical research. One of the first essential steps for many research studies, such as clinical trials or population health studies, is to effectively identify, from electronic health record systems, groups of well-characterized patients who meet specific inclusion and exclusion criteria. This procedure is called cohort exploration. Yet, when researchers need to compile specific cohorts of patients, privacy issues represent one of the major obstacles to accessing patients’ data, especially when sensitive data, such as genomic data, are involved. Because of this, cohort exploration could become extremely difficult and time-consuming. In this joint paper between the Ecole Polytechnique F ´ ed´ erale de Lausanne (EPFL) and the Lausanne University Hospital ´ (CHUV), we address the challenge of designing and deploying an efficient privacy-preserving explorer for genetic cohorts. Our solution is built on top of i2b2 (informatics for integrating biology and the bedside), the state-of-the-art open-source framework for cohort exploration, and exploits on cutting-edge privacy-enhancing technologies (PETs) such as homomorphic encryption and differential privacy. To the best of our knowledge, our proposed solution is the first of its kind to be successfully deployed in a real operational environment within a hospital. Especially, it has been tested as one of the services of the clinical research data-warehouse of CHUV. Solutions involving homomorphic encryption are often believed to be costly and still immature for use in operational environments. In this paper, we prove the opposite by describing how actually, for specific use cases, this kind of PETs can be very efficient enablers.

2016

Satisfaction des utilisateurs du dossier patient informatisé valaisan

Philippe Wieser, David Marey

A multidisciplinary and shared computerized patient record (CPR) has been progressively implemented since 2002 for all public hospitals in the State of Valais, Switzerland. This paper presents the results of a formal evaluation of user’s satisfaction made during the deployment and based on questionnaires and interviews. According to the results, the major objectives have been reached: 2/3 of users evaluate posi- tively the effect of the CPR on access to patient information as well as improvement of commu- nication between care providers. The perform- ance problems are clearly identified, such as time needed to start the software. These prob- lems govern the final adoption of the system, although 90% of users would not get back to paper. In conclusion, intrinsic quality of the CPR, such as ergonomics and structure, and technical aspects such as speed and availability are key factors for the success of such a deployment.

2006

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