National Electronic Health Record Interoperability Chronology

Hufnagel, Stephen P.

doi:10.7205/milmed-d-03-9708

Cited by 8 publications

(5 citation statements)

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“…A hospital or clinician will keep electronic medical records in digital format for the rest of their lives [14]. The computerized medical records include information on magnetic resonance imaging (MRI) reports, previous physical exams, vaccination records, test results, and any allergies the patient may have [15]. Only authorized users have access to these real-time, patientspecific records, which are easily available to patients and doctors.…”

Section: Electronic Health Recordsmentioning

confidence: 99%

E-Healthcare Using Block Chain Technology and Cryptographic Techniques: A Review

Haq

Abbas

Khan

et al. 2022

PakJET

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The potential of information technology has influenced the efficiency and quality of healthcare worldwide. Currently, several republics are incorporating electronic health records (EHRs). Due to reluctance of technological adaptation & implementational complexities, electronic health record systems are not in practice. Due to the emphasis on achieving general compatibility, users may perceive systems as being imposed and providing insufficient customizability, which may exacerbate issues in a setting of national implementation. EHS improves patient safety and confidentiality and ensures operative, effective, well-timed, reasonable, and patient-centred care, all of which substantially impact healthcare quality. Blockchain technology has been used by the EHS system, which supports web-based accessibility and availability. The difficulties of exchanging medical data can now be overcome by consumers using an infrastructure based on cloud computing. A variety of cryptographic approaches have been employed to encrypt and safeguard the data. This review paper aims to highlight the role and impact of blockchain in EHR. The proposed research describes cryptography methods, their classifications, and the challenges associated with EHR to identify gaps and countermeasures.

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Section: Electronic Health Recordsmentioning

confidence: 99%

E-Healthcare Using Block Chain Technology and Cryptographic Techniques: A Review

Haq

Abbas

Khan

et al. 2022

PakJET

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“…With the continuing advancement and adoption of EHRs, the amount of information available for reuse in clinical research continues to rise. [1][2][3][4] However, for complete patient characterization, these data need to be linked to other sources. For instance, while a patient's race, gender, and smoking status are often welldocumented in the EHR, other elements of socioeconomic status (SES) and a patient's social context are often unstructured or absent from the clinical record and unavailable for incorporation into a research data warehouse.…”

Section: Background and Significancementioning

confidence: 99%

Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse

Gardner

Pedersen

Campbell

et al. 2019

Journal of the American Medical Informatics Association

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Objective Clinical research data warehouses are largely populated from information extracted from electronic health records (EHRs). While these data provide information about a patient’s medications, laboratory results, diagnoses, and history, her social, economic, and environmental determinants of health are also major contributing factors in readmission, morbidity, and mortality and are often absent or unstructured in the EHR. Details about a patient’s socioeconomic status may be found in the U.S. census. To facilitate researching the impacts of socioeconomic status on health outcomes, clinical and socioeconomic data must be linked in a repository in a fashion that supports seamless interrogation of these diverse data elements. This study demonstrates a method for linking clinical and location-based data and querying these data in a de-identified data warehouse using Informatics for Integrating Biology and the Bedside. Materials and Methods Patient data were extracted from the EHR at Nebraska Medicine. Socioeconomic variables originated from the 2011-2015 five-year block group estimates from the American Community Survey. Data querying was performed using Informatics for Integrating Biology and the Bedside. All location-based data were truncated to prevent identification of a location with a population <20 000 individuals. Results We successfully linked location-based and clinical data in a de-identified data warehouse and demonstrated its utility with a sample use case. Discussion With location-based data available for querying, research investigating the impact of socioeconomic context on health outcomes is possible. Efforts to improve geocoding can readily be incorporated into this model. Conclusion This study demonstrates a means for incorporating and querying census data in a de-identified clinical data warehouse.

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“…Semantic interoperability of healthcare data can significantly improve the quality and efficiency of patient care delivery and improve the overall performance of the healthcare systems within the United States [20]. As such, the foundation of the research stresses the importance of achieving semantic interoperability within the healthcare sector.…”

Section: Review Of the Literaturementioning

confidence: 99%

Towards a Conceptual Framework for Persistent Use: A Technical Plan to Achieve Semantic Interoperability within Electronic Health Record Systems

Blackman-Lees¹

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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National Electronic Health Record Interoperability Chronology

Cited by 8 publications

References 0 publications

E-Healthcare Using Block Chain Technology and Cryptographic Techniques: A Review

E-Healthcare Using Block Chain Technology and Cryptographic Techniques: A Review

Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse

Towards a Conceptual Framework for Persistent Use: A Technical Plan to Achieve Semantic Interoperability within Electronic Health Record Systems

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