scholarly journals Development of a Mobile Personal Health Record Application Designed for Emergency Care in Korea; Integrated Information from Multicenter Electronic Medical Records

2020 ◽  
Vol 10 (19) ◽  
pp. 6711 ◽  
Author(s):  
Yuri Choi ◽  
June-sung Kim ◽  
In Ho Kwon ◽  
Taerim Kim ◽  
Su Min Kim ◽  
...  

Collecting patient’s medical data is essential for emergency care. Although hospital-tethered personal health records (PHRs) can provide accurate data, they are not available as electronic information when the hospital does not develop and supply PHRs. The objective of this research was to evaluate whether a mobile app can assemble health data from different hospitals and enable interoperability. Moreover, we identified numerous barriers to overcome for putting health data into one place. The new mobile PHR (mPHR) application was developed and evaluated according to the four phases of the system development life cycle: defining input data and functions, developing a prototype, developing a mobile application, and implementation testing. We successfully introduced the FirstER (First for Emergency Room) platform on 23 September 2019. Additionally, validation in three tertiary hospitals has been carried out since the launch date. From 14 October to 29 November 2019, 1051 cases registered with the FirstER, and the total download count was 15,951 records. We developed and successfully implemented the mPHR service, which can be used as a health information exchange tool in emergency care, by integrating medical records from three different tertiary hospitals. By recognizing the significance and limitations of this service, it is necessary to study the development and implementation of mPHR services that are more suitable for emergency care.

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
S. Balasubramaniam ◽  
V. Kavitha

Cloud computing is a new delivery model for information technology services and it typically involves the provision of dynamically scalable and often virtualized resources over the Internet. However, cloud computing raises concerns on how cloud service providers, user organizations, and governments should handle such information and interactions. Personal health records represent an emerging patient-centric model for health information exchange, and they are outsourced for storage by third parties, such as cloud providers. With these records, it is necessary for each patient to encrypt their own personal health data before uploading them to cloud servers. Current techniques for encryption primarily rely on conventional cryptographic approaches. However, key management issues remain largely unsolved with these cryptographic-based encryption techniques. We propose that personal health record transactions be managed using geometric data perturbation in cloud computing. In our proposed scheme, the personal health record database is perturbed using geometric data perturbation and outsourced to the Amazon EC2 cloud.


2017 ◽  
Vol 26 (01) ◽  
pp. e3-e4

Bahous MC, Shadmi E. Health information exchange and information gaps in referrals to a pediatric emergency department. Int J Med Inform 2016;87:68-74 https://linkinghub.elsevier.com/retrieve/pii/S1386-5056(15)30078-2 Esmaeilzadeh P, Sambasivan M. Health Information Exchange (HIE): A literature review, assimilation pattern and a proposed classification for a new policy approach. J Biomed Inform 2016;64:74-86 http://www.sciencedirect.com/science/article/pii/S1532046416301241?via%3Dihub Massoudi BL, Marcial LH, Tant E, Adler-Milstein J, West SL. Using health information exchanges to calculate clinical quality measures: A study of barriers and facilitators. Healthc (Amst) 2016;4(2):104-8 https://linkinghub.elsevier.com/retrieve/pii/S2213-0764(15)30057-9 Toscos T, Daley C, Heral L, Doshi R, Chen YC, Eckert GJ, Plant RL, Mirro MJ. Impact of electronic personal health record use on engagement and intermediate health outcomes among cardiac patients: a quasi-experimental study. J Am Med Inform Assoc 2016;23(1):119-28 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocv164 Warner JL, Rioth MJ, Mandl KD, Mandel JC, Kreda DA, Kohane IS, Carbone D, Oreto R, Wang L, Zhu S, Yao H, Alterovitz G. SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care. J Am Med Inform Assoc 2016;23(4):701-10 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw015


2017 ◽  
Vol 26 (01) ◽  
pp. 82-83

Bahous MC, Shadmi E. Health information exchange and information gaps in referrals to a pediatric emergency department. Int J Med Inform 2016;87:68-74 https://linkinghub.elsevier.com/retrieve/pii/S1386-5056(15)30078-2 Esmaeilzadeh P, Sambasivan M. Health Information Exchange (HIE): A literature review, assimilation pattern and a proposed classification for a new policy approach. J Biomed Inform 2016;64:74-86 http://www.sciencedirect.com/science/article/pii/S1532046416301241?via%3Dihub Massoudi BL, Marcial LH, Tant E, Adler-Milstein J, West SL. Using health information exchanges to calculate clinical quality measures: A study of barriers and facilitators. Healthc (Amst) 2016;4(2):104-8 https://linkinghub.elsevier.com/retrieve/pii/S2213-0764(15)30057-9 Toscos T, Daley C, Heral L, Doshi R, Chen YC, Eckert GJ, Plant RL, Mirro MJ. Impact of electronic personal health record use on engagement and intermediate health outcomes among cardiac patients: a quasi-experimental study. J Am Med Inform Assoc 2016;23(1):119-28 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocv164 Warner JL, Rioth MJ, Mandl KD, Mandel JC, Kreda DA, Kohane IS, Carbone D, Oreto R, Wang L, Zhu S, Yao H, Alterovitz G. SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care. J Am Med Inform Assoc 2016;23(4):701-10 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw015


2016 ◽  
Vol 52 (3) ◽  
pp. 204-205
Author(s):  
Robert D Furberg ◽  
Alexa M Ortiz

Author(s):  
Gerald Beuchelt ◽  
Harry Sleeper ◽  
Andrew Gregorowicz ◽  
Robert Dingwell

Health data interoperability issues limit the expected benefits of Electronic Health Record (EHR) systems. Ideally, the medical history of a patient is recorded in a set of digital continuity of care documents which are securely available to the patient and their care providers on demand. The history of electronic health data standards includes multiple standards organizations, differing goals, and ongoing efforts to reconcile the various specifications. Existing standards define a format that is too complex for exchanging health data effectively. We propose hData, a simple XML-based framework to describe health information. hData addresses the complexities of the current HL7 Clinical Document Architecture (CDA). hData is an XML design that can be completely validated by modern XML editors and is explicitly designed for extensibility to address future health information exchange needs. hData applies established best practices for XML document architectures to the health domain, thereby facilitating interoperability, increasing software developer productivity, and thus reducing the cost for creating and maintaining EHR technologies.


2010 ◽  
Vol 36 (3) ◽  
pp. 1043-1052 ◽  
Author(s):  
Vaishali N. Patel ◽  
Rina V. Dhopeshwarkar ◽  
Alison Edwards ◽  
Yolanda Barrón ◽  
Jeffrey Sparenborg ◽  
...  

2018 ◽  
Vol 25 (6) ◽  
pp. 686-693 ◽  
Author(s):  
Seth Klapman ◽  
Emily Sher ◽  
Julia Adler-Milstein

Abstract Objective Ensuring the ability to exchange patient information among disparate electronic health records systems is a top priority and a domain of substantial public investment across countries. However, we know little about the extent to which current capabilities meet the needs of frontline clinicians. Materials and Methods We conducted in-person, semistructured interviews with emergency care physicians and nurses in select hospitals in Canada, Denmark, Finland, Germany, and the USA. We characterized the state of health information exchange (HIE) by country and used thematic analysis to identify the perceived benefits of access to complete past medical history (PMH), the conditions under which PMH is sought, and the challenges to accessing and using HIE capabilities. Results HIE approaches, and the information electronically accessible to clinicians, differed by country. Benefits of access to PMH included safer care, reduced patient length of stay, and fewer lab and imaging orders. Conditions under which PMH was sought included moderate-acuity patients, patients with chronic conditions, and instances where accessing PMH was convenient. Challenges to HIE access and use included difficulty knowing where information is located, delay in receiving information, and difficulty finding information within documents. Discussion Even with different HIE approaches across countries, all clinicians reported shortcomings in their country’s approach. Notably, challenges were similar and shaped the conditions under which PMH was sought. Conclusion As countries continue to pursue broad-based HIE, they appear to be facing similar challenges in realizing HIE value and therefore have an opportunity to learn from one another.


2018 ◽  
Author(s):  
Leming Zhou ◽  
Bambang Parmanto ◽  
Zakiy Alfikri ◽  
Jie Bao

BACKGROUND On many websites and mobile apps for personal health data collection and management, there are security features and privacy policies available for users. Users sometimes are given an opportunity to make selections in a security setting page; however, it is challenging to make informed selections in these settings for users who do not have much education in information security as they may not precisely know the meaning of certain terms mentioned in the privacy policy or understand the consequences of their selections in the security and privacy settings. OBJECTIVE The aim of this study was to demonstrate several commonly used security features such as encryption, user authentication, and access control in a mobile app and to determine whether this brief security education is effective in encouraging users to choose stronger security measures to protect their personal health data. METHODS A mobile app named SecSim (Security Simulator) was created to demonstrate the consequences of choosing different options in security settings. A group of study participants was recruited to conduct the study. These participants were asked to make selections in the security settings before and after they viewed the consequences of security features. At the end of the study, a brief interview was conducted to determine the reason for their selections in the security settings. Their selections before and after the security education were compared in order to determine the effectiveness of the security education. The usability of the app was also evaluated. RESULTS In total, 66 participants finished the study and provided their answers in the app and during a brief interview. The comparison between the pre- and postsecurity education selection in security settings indicated that 21% (14/66) to 32% (21/66) participants chose a stronger security measure in text encryption, access control, and image encryption; 0% (0/66) to 2% (1/66) participants chose a weaker measure in these 3 security features; and the remainder kept their original selections. Several demographic characteristics such as marital status, years of experience using mobile devices, income, employment, and health status showed an impact on the setting changes. The usability of the app was good. CONCLUSIONS The study results indicate that a significant percentage of users (21%-32%) need guidance to make informed selection in security settings. If websites and mobile apps can provide embedded security education for users to understand the consequences of their security feature selection and the meaning of commonly used security features, it may help users to make the best choices in terms of security settings. Our mobile app, SecSim, offers a unique approach for mobile app users to understand commonly used security features. This app may be incorporated into other apps or be used before users make selections in their security settings.


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