scholarly journals Decentralized Electronic Health Record System

2020 ◽  
Vol 15 (1) ◽  
pp. 77-80
Author(s):  
Ajaya Mandal ◽  
Prakriti Dumaru ◽  
Sagar Bhandari ◽  
Shreeti Shrestha ◽  
Subarna Shakya
Keyword(s):  
Electronic Health Record ◽  
Data Sharing ◽  
Medical Records ◽  
Data Privacy ◽  
Electronic Health Record System ◽  
Health Record ◽  
Smart Contracts ◽  
Record System ◽  
Block Chain ◽  
Electronic Health

 With a view to overcome the shortcomings of traditional Electronic Health Record (EHR) system so as to assure the interoperability by providing open access to sensitive health data, while still preserving personal data privacy, anonymity and avoiding data misuse, Decentralized Electronic Health Record System was developed. The aforementioned issue concerning traditional EHR system can be addressed by implication of emerging technology of the era namely Block chain, together with Inter Planetary File System (IPFS) which enables data sharing in decentralized and transactional fashion, thereby maintaining delicate balance between privacy and accessibility of electronic health records. A block chain based EHR system has been built for secure, efficient and interoperable access to medical records by both patients and doctors while preserving privacy of the sensitive patient’s information. Patients can easily and comprehensively access to their medical records across providers and treatment sites using unique properties of block chain and decentralized storage. A separate portal for both the patients and doctors has been built enabling the smart contracts to handle further interaction between doctors and patients. So, in this system, it is demonstrated how principles of decentralization and block chain architectures could contribute to EHR system using Ethereum smart contracts and IPFS to orchestrate a suitable system governing the medical record access while providing patients with comprehensive record review along with consideration for audit ability and data sharing.

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.

scholarly journals ‘I’d like to think you could trust the government, but I don’t really think we can’: Australian women’s attitudes to and experiences of My Health Record

2019 ◽  
Vol 5 ◽  
pp. 205520761984701 ◽  
Author(s):  
Deborah Lupton
Keyword(s):  
Electronic Health Record ◽  
Data Privacy ◽  
Digital Health ◽  
Health Agency ◽  
Electronic Health Record System ◽  
New Materialism ◽  
Health Record ◽  
Record System ◽  
Electronic Health ◽  
The Government

The Australian government’s Australian Digital Health Agency is working towards its goal of enrolling every Australian in My Health Record, its national electronic health record system. This article reports findings from a qualitative project involving interviews and focus groups with Australian women about their use of digital health across the range of technologies available to them, including their attitudes to and experiences of My Health Record. A feminist new materialism perspective informed the project, working to surface the affordances, affective forces and relational connections that contributed to the opening up or closing off potential agential capacities when people come together with digitised systems such as My Health Record. These findings demonstrate that people’s personal experiences and feelings, the actions of others such as the agencies responsible for system implementation and function, their healthcare providers and broader social, cultural, technological and political factors are important in shaping their knowledge, interest in and acceptance of an electronic health record system. Even among this group of participants, who were experienced and active in finding and engaging with health information online, uncertainty and a lack of awareness of and interest in My Health Record were evident among many. Affordances such as technical difficulties were major barriers to enrolling and using the system successfully. No participants had yet found any benefit or use for it. Affective forces such as lack of trust and faith in the Australian government’s general technological expertise and concerns about data privacy and security were also key in many participants’ accounts.

scholarly journals Developing Clinical Decision Support within a Commercial Electronic Health Record System to Improve Antimicrobial Prescribing in the Neonatal ICU

2014 ◽  
Vol 05 (02) ◽  
pp. 368-387 ◽  
Author(s):  
K. Cato ◽  
B. Sheehan ◽  
S. Patel ◽  
J. Duchon ◽  
P. DeLaMora ◽  
...  
Keyword(s):  
Decision Support ◽  
Electronic Health Record ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Antimicrobial Prescribing ◽  
Neonatal Icu ◽  
Electronic Health

SummaryObjective: To develop and implement a clinical decision support (CDS) tool to improve antibiotic prescribing in neonatal intensive care units (NICUs) and to evaluate user acceptance of the CDS tool.Methods: Following sociotechnical analysis of NICU prescribing processes, a CDS tool for empiric and targeted antimicrobial therapy for healthcare-associated infections (HAIs) was developed and incorporated into a commercial electronic health record (EHR) in two NICUs. User logs were reviewed and NICU prescribers were surveyed for their perceptions of the CDS tool.Results: The CDS tool aggregated selected laboratory results, including culture results, to make treatment recommendations for common clinical scenarios. From July 2010 to May 2012, 1,303 CDS activations for 452 patients occurred representing 22% of patients prescribed antibiotics during this period. While NICU clinicians viewed two culture results per tool activation, prescribing recommendations were viewed during only 15% of activations. Most (63%) survey respondents were aware of the CDS tool, but fewer (37%) used it during their most recent NICU rotation. Respondents considered the most useful features to be summarized culture results (43%) and antibiotic recommendations (48%).Discussion: During the study period, the CDS tool functionality was hindered by EHR upgrades, implementation of a new laboratory information system, and changes to antimicrobial testing methodologies. Loss of functionality may have reduced viewing antibiotic recommendations. In contrast, viewing culture results was frequently performed, likely because this feature was perceived as useful and functionality was preserved.Conclusion: To improve CDS tool visibility and usefulness, we recommend early user and information technology team involvement which would facilitate use and mitigate implementation challenges.Citation: Hum RS, Cato K, Sheehan B, Patel S, Duchon J, DeLaMora P, Ferng YH, Graham P, Vawdrey DK, Perlman J, Larson E, Saiman L. Developing clinical decision support within a commercial electronic health record system to improve antimicrobial prescribing in the neonatal ICU. Appl Clin Inf 2014; 5: 368–387 http://dx.doi.org/10.4338/ACI-2013-09-RA-0069

scholarly journals Implementing Pediatric Growth Charts into an Electronic Health Record System

2006 ◽  
Vol 13 (3) ◽  
pp. 302-308 ◽  
Author(s):  
S. T. Rosenbloom ◽  
X. Qi ◽  
W. R. Riddle ◽  
W. E. Russell ◽  
S. C. DonLevy ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Electronic Health Record System ◽  
Growth Charts ◽  
Health Record ◽  
Record System ◽  
Electronic Health
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