Seamless Integration of ISO/IEEE11073 Personal Health Devices and ISO/EN13606 Electronic Health Records into an End-to-End Interoperable Solution

2010 ◽  
Vol 16 (10) ◽  
pp. 993-1004 ◽  
Author(s):  
Ignacio Martíez ◽  
Javier Escayola ◽  
Miguel Martínez-Espronceda ◽  
Pilar Muñoz ◽  
Jesús Daniel Trigo ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Personal Health ◽  
Seamless Integration ◽  
Health Records ◽  
End To End ◽  
Electronic Health

scholarly journals Research using electronic health records: Balancing confidentiality and public good

2018 ◽  
Vol 10 (4) ◽  
pp. 288 ◽  
Author(s):  
Katharine A. Wallis ◽  
Kyle S. Eggleton ◽  
Susan M. Dovey ◽  
Sharon Leitch ◽  
Wayne K. Cunningham ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Ethical Issues ◽  
Personal Health Information ◽  
Personal Health ◽  
Quality And Safety ◽  
Patient Relationship ◽  
Health Records ◽  
Patient Consent ◽  
Information Research ◽  
Electronic Health

ABSTRACTGeneral practitioners are increasingly approached to participate in research and share de-identified patient information. Research using electronic health records has considerable potential for improving the quality and safety of patient care. Obtaining individual patient consent for the use of the information is usually not feasible. In this article we explore the ethical issues in using personal health information in research without patient consent including the threat to confidentially and the doctor-patient relationship, and we discuss how the risks can be minimised and managed drawing on our experience as general practitioners and researchers.

scholarly journals Clinician Perspectives on Electronic Health Records, Communication, and Patient Safety Across Diverse Medical Oncology Practices

2019 ◽  
Vol 15 (6) ◽  
pp. e529-e536 ◽  
Author(s):  
Minal R. Patel ◽  
Christopher R. Friese ◽  
Kari Mendelsohn-Victor ◽  
Alex J. Fauer ◽  
Bidisha Ghosh ◽  
...  
Keyword(s):  
Patient Safety ◽  
Electronic Health Records ◽  
Safety Culture ◽  
Care Quality ◽  
Clinical Practices ◽  
Seamless Integration ◽  
Health Records ◽  
Clinician Communication ◽  
Electronic Health

PURPOSE: We know little about how increased technological sophistication of clinical practices affects safety of chemotherapy delivery in the outpatient setting. This study investigated to what degree electronic health records (EHRs), satisfaction with technology, and quality of clinician-to-clinician communication enable a safety culture. METHODS: We measured actions consistent with a safety culture, satisfaction with practice technology, and quality of clinician communication using validated instruments among 297 oncology nurses and prescribers in a statewide collaborative. We constructed an index to reflect practice reliance on EHRs (1 = “all paper” to 5 = “all electronic”). Linear regression models (with robust SEs to account for clustering) examined relationships between independent variables of interest and safety. Models were adjusted for clinician age. RESULTS: The survey response rate was 68% (76% for nurses and 59% for prescribers). The mean (standard deviation) safety score was 5.3 (1.1), with a practice-level range of 4.9 to 5.4. Prescribers reported fewer safety actions than nurses. Higher satisfaction with technology and higher-quality clinician communication were significantly associated with increased safety actions, whereas increased reliance on EHRs was significantly associated with lower safety actions. CONCLUSION: Practices vary in their performance of patient safety actions. Supporting clinicians to integrate technology and strengthen communication are promising intervention targets. The inverse relationship between reliance on EHRs and safety suggests that technology may not facilitate clinicians’ ability to attend to patient safety. Efforts to improve cancer care quality should focus on more seamless integration of EHRs into routine care delivery and emphasize increasing the capacity of all care clinicians to communicate effectively and coordinate efforts when administering high-risk treatments in ambulatory settings.

Data Security in Electronic Health Records

2011 ◽  
pp. 1934-1947
Author(s):  
Stefane M Kabene ◽  
Raymond W. Leduc ◽  
Candace J Gibson
Keyword(s):  
Electronic Health Records ◽  
Health Information ◽  
Data Security ◽  
Value Added ◽  
Personal Health Information ◽  
Personal Health ◽  
Health Records ◽  
Healthcare Facilities ◽  
Shared Information ◽  
Electronic Health

Traditionally, patient information has been recorded on paper and stored in file folders at healthcare facilities and within physicians’ offices. The implementation of electronic health records (EHRs), the lifetime record of an individual’s health and health services delivered, allows for information to be stored on computers and offers the opportunity to store considerably more data, in much less space, with new efficiencies and value added as information is easier to access, legible, timely, non-redundant and readily available. However, there are many issues to consider with the implementation of a fully shared EHR. The protection of the information contained in the record is of the utmost importance as individuals stand to become quite vulnerable if that personal health information is compromised or accessed by unauthorized users. Therefore, one of the goals of this chapter is to uncover ways in which personal health information is being protected in EHR systems. The second objective, a broader one, examines what regulations, legislation and policies are in place that remove some of the uncertainty and risk and make the use of shared information safe and secure. Many of the techniques and technologies used so far are adopted from the corporate world, where data security has been an issue for some time. Current legislation in the United States and Canada at both the federal and state/provincial levels has addressed the general principles of data security and privacy but are still lacking in specifics with regard to cross-jurisdictional sharing of health information and the implementation and use of EHRs. Many of the researchers and studies on the subject find this to be one of the most important areas of concern moving forward. The opportunities for EHR implementation and use are exciting as they have the strong potential to improve both individual health care and population health, but without proper regulation and policies in place it is possible that the risks may outweigh the benefits.

scholarly journals Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods

2019 ◽  
Vol 27 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Fenia Christopoulou ◽  
Thy Thy Tran ◽  
Sunil Kumar Sahu ◽  
Makoto Miwa ◽  
Sophia Ananiadou
Keyword(s):  
Electronic Health Records ◽  
Adverse Drug Events ◽  
Short Term Memory ◽  
Relation Extraction ◽  
Short Term ◽  
Health Records ◽  
Term Memory ◽  
Long Short Term Memory ◽  
End To End ◽  
Electronic Health

AbstractObjectiveIdentification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in extracting relations between medication-related entities in electronic health records.Materials and MethodsWe proposed an ensemble approach for relation extraction and classification between drugs and medication-related entities. We incorporated state-of-the-art named-entity recognition (NER) models based on bidirectional long short-term memory (BiLSTM) networks and conditional random fields (CRF) for end-to-end extraction. We additionally developed separate models for intra- and inter-sentence relation extraction and combined them using an ensemble method. The intra-sentence models rely on bidirectional long short-term memory networks and attention mechanisms and are able to capture dependencies between multiple related pairs in the same sentence. For the inter-sentence relations, we adopted a neural architecture that utilizes the Transformer network to improve performance in longer sequences.ResultsOur team ranked third with a micro-averaged F1 score of 94.72% and 87.65% for relation and end-to-end relation extraction, respectively (Tracks 2 and 3). Our ensemble effectively takes advantages from our proposed models. Analysis of the reported results indicated that our proposed approach is more generalizable than the top-performing system, which employs additional training data- and corpus-driven processing techniques.ConclusionsWe proposed a relation extraction system to identify relations between drugs and medication-related entities. The proposed approach is independent of external syntactic tools. Analysis showed that by using latent Drug-Drug interactions we were able to significantly improve the performance of non–Drug-Drug pairs in EHRs.

scholarly journals The effect of hospital information systems on healthcare facilities efficiency indicators

2015 ◽  
Vol 96 (2) ◽  
pp. 227-233
Author(s):  
Sh M Gimadeev ◽  
A I Latypov ◽  
S V Radchenko ◽  
D F Khaziakhmetov
Keyword(s):  
Information Systems ◽  
Electronic Health Records ◽  
Personal Health Record ◽  
Hospital Information Systems ◽  
Operating Conditions ◽  
Personal Health ◽  
Health Record ◽  
Health Records ◽  
Healthcare Facilities ◽  
Electronic Health

Aim. Comparative assessment of an automation facilities influence on labor input and business processes’ productivity indicators related to primary functions of healthcare facilities of different types.Methods. We performed medical personnel’s work timing in emergency rooms, as well as medical records timing in clinical departments. The automated electronic health records processing while operating hospital information systems created by authors among different types of healthcare facilities was also performed. Output data included personal health record operation periods values and system events timestamps.Results. The data concerning hospital information systems’ influence on electronic health records operating time changes and hospitalization delays was obtained. A correlation between the initial hospitalization delay and hospital capacity was discovered (r=0.917). The emergency room automation significantly reduces hospitalization delays. Under clinical information system operating conditions, the primary examination time recording increases twice, while the time spent for all other electronic health records decreases in higher order. Considerable difference between primary examination recording time and the time, necessary for other personal health record registrations, has satisfactory interpretation within the heterogeneous medical data sources integration model, but not within usability model. In general, the gained data does not confirm results of previously published researches pointing the increased time doctors spent for data management in automation conditions.Conclusion. Hospital information systems implementation improved the specialist’s labor productivity and main working processes work capacity. The obtained data indicate a greater influence of automation in large healthcare facilities and reject usability hypothesis of hospital information systems efficiency.

Sign in / Sign up

Export Citation Format

Share Document