scholarly journals Developing a Third-Party Analytics Application Using Australia�s National Personal Health Records System: Case Study (Preprint)

Author(s):  
Niranjan Bidargaddi ◽  
Yasmin van Kasteren ◽  
Peter Musiat ◽  
Michael Kidd

BACKGROUND My Health Record (MyHR) is Australia’s national electronic health record (EHR) system. Poor usability and functionality have resulted in low utility, affecting enrollment and participation rates by both patients and clinicians alike. Similar to apps on mobile phone app stores, innovative third-party applications of MyHR platform data can enhance the usefulness of the platform, but there is a paucity of research into the processes involved in developing third-party applications that integrate and use data from EHR systems. OBJECTIVE The research describes the challenges involved in pioneering the development of a patient and clinician Web-based software application for MyHR and insights resulting from this experience. METHODS This research uses a case study approach, investigating the development and implementation of Actionable Intime Insights (AI2), a third-party application for MyHR, which translates Medicare claims records stored in MyHR into a clinically meaningful timeline visualization of health data for both patients and clinicians. This case study identifies the challenges encountered by the Personal Health Informatics team from Flinders University in the MyHR third-party application development environment. RESULTS The study presents a nuanced understanding of different data types and quality of data in MyHR and the complexities associated with developing secondary-use applications. Regulatory requirements associated with utilization of MyHR data, restrictions on visualizations of data, and processes of testing third-party applications were encountered during the development of the application. CONCLUSIONS This study identified several processes, technical and regulatory barriers which, if addressed, can make MyHR a thriving ecosystem of health applications. It clearly identifies opportunities and considerations for the Australian Digital Health Agency and other national bodies wishing to encourage the development of new and innovative use cases for national EHRs.

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 512
Author(s):  
William Connor Horne ◽  
Zina Ben Miled

Improved health care services can benefit from a more seamless exchange of medical information between patients and health care providers. This exchange is especially important considering the increasing trends in mobility, comorbidity and outbreaks. However, current Electronic Health Records (EHR) tend to be institution-centric, often leaving the medical information of the patient fragmented and more importantly inaccessible to the patient for sharing with other health providers in a timely manner. Nearly a decade ago, several client–server models for personal health records (PHR) were proposed. The aim of these previous PHRs was to address data fragmentation issues. However, these models were not widely adopted by patients. This paper discusses the need for a new PHR model that can enhance the patient experience by making medical services more accessible. The aims of the proposed model are to (1) help patients maintain a complete lifelong health record, (2) facilitate timely communication and data sharing with health care providers from multiple institutions and (3) promote integration with advanced third-party services (e.g., risk prediction for chronic diseases) that require access to the patient’s health data. The proposed model is based on a Peer-to-Peer (P2P) network as opposed to the client–server architecture of the previous PHR models. This architecture consists of a central index server that manages the network and acts as a mediator, a peer client for patients and providers that allows them to manage health records and connect to the network, and a service client that enables third-party providers to offer services to the patients. This distributed architecture is essential since it promotes ownership of the health record by the patient instead of the health care institution. Moreover, it allows the patient to subscribe to an extended range of personalized e-health services.


2018 ◽  
Vol 6 (2) ◽  
pp. e28 ◽  
Author(s):  
Niranjan Bidargaddi ◽  
Yasmin van Kasteren ◽  
Peter Musiat ◽  
Michael Kidd

Author(s):  
Tim Stowell ◽  
Jon Scoresby ◽  
Michael R. Capell ◽  
Brett E. Shelton

Market 3D engines have all the capabilities needed for developing full-featured 3D simulation and game environments. However, for those in education and small business, it remains a formidable task to acquire the resources needed to purchase or create a development platform with cutting-edge capabilities. Leveraging existing and open-source software libraries can greatly enhance the main application development, freeing developers to focus more on the application concept itself rather than the needed supporting pieces. This article explores the nuances of successfully mixing core code with these third-party libraries in creating a fully functioning development environment. Many steps with accompanying checks-and-balances are involved in creating a game engine, including making choices of which libraries to use, and integrating the core code with third-party libraries. By offering insights into our open source driven process, we help inform the understanding of how game engines may be generated for other educational and small-budget projects.


Author(s):  
Sander Holterman ◽  
Marike Hettinga ◽  
Erik Buskens ◽  
Maarten Lahr

Background: Digital health is considered a promising solution in keeping health care accessible and affordable. However, implementation is often complex and sustainable funding schemes are lacking. Despite supporting policy, scaling up innovative forms of health care progresses much slower than intended in Dutch national framework agreements. The aim of this study is to identify factors that influence the procurement of digital health particular in district nursing. Methods: A case study approach was used, in which multiple stakeholder perspectives are compared using thematic framework analysis. The case studied was the procurement of digital health in Dutch district nursing. Literature on implementation of digital health, public procurement and payment models was used to build the analytic framework. We analysed fourteen interviews (secondary data), two focus groups organised by the national task force procurement and eight governmental and third-party reports. Results: Five themes emerged from the analysis: 1) rationale 2) provider-payer relationship, 3) resources, 4) evidence, and 5) the payment model. Per theme a number of factors were identified, mostly related to the design and functioning of the Dutch health system and to the implementation process at providers' side. Conclusions: This study identified factors influencing the procurement of digital health in Dutch district nursing. The findings, however, are not unique for digital health, district nursing or the Dutch health system. The results presented will support policy makers, and decision makers to improve procurement of digital health. Investing in better relationships between payer and care provider organisations and professionals is an important next step towards scaling digital health.


Author(s):  
Tim Stowell ◽  
Jon Scoresby ◽  
K. Chad Coats ◽  
Michael R. Capell ◽  
Brett E. Shelton

Market 3D engines have all the capabilities needed for developing full-featured 3D simulation and game environments. However, for those in education and small-business, it remains a formidable task to acquire the resources needed to purchase or create a development platform with cutting-edge capabilities. Leveraging existing and open-source software libraries can greatly enhance the main application development, freeing developers to focus more on the application concept itself rather than the needed supporting pieces. This chapter explores the nuances of successfully mixing core code with these third-party libraries in creating a fully functioning development environment. Many steps with accompanying checks-and-balances are involved in creating a game engine, including making choices of what libraries to use, and integrating the core code with third-party libraries. By offering insights into our open source driven process, we help inform the understanding of how game engines may be generated for other educational and small-budget projects.


2019 ◽  
Vol 5 ◽  
pp. 205520761984701 ◽  
Author(s):  
Deborah Lupton

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.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jong Hun Kim ◽  
Won Suk Choi ◽  
Joon Young Song ◽  
Young Kyung Yoon ◽  
Min Ja Kim ◽  
...  

Abstract Background The massive outbreak of the novel coronavirus disease 2019 (COVID-19) in Daegu city and Gyeongsangbuk-do, Republic of Korea (ROK), caused the exponential increase in new cases exceeding 5000 within 6 weeks. Therefore, the community treatment center (CTC) with a digital health care monitoring system based on the smartphone application and personal health record platform (PHR) was implemented. Thus, we report our experience in one of the CTCs to investigate the role of CTC and the feasibility of the digital health care monitoring system in the COVID-19 pandemic. Methods The Gyeongbuk-Daegu 2 CTC was set up at the private residential facility. Admission criteria were 1) patients < 65 years with COVID-19, 2) patients without underlying medical comorbidities, and 3) COVID-19 disease severity of mild class. Admitted patients were placed under monitoring of vital signs and symptoms. Clinical information was collected using the smartphone application or telephone communication. Collected information was displayed on the PHR platform in a real-time fashion for close monitoring. Results From Mar 3, 2020, to Mar 26, 2020, there was a total of 290 patients admitted to the facility. Males were 104 (35.9%). The median age was 37 years. The median time between the COVID-19 diagnosis and admission was 7 days. Five patients were identified and were transferred to the designed COVID-19 treatment hospital for their urgent medical needs. The smartphone application usage to report vital signs and symptoms was noted in 96% of the patients. There were no deaths of the patients. Conclusions Our results suggest that implementation of the CTC using a commercial residence facility and digital health care technology may offer valuable solutions to the challenges posed by the COVID-19 outbreak.


2019 ◽  
Vol 26 (5) ◽  
pp. 412-419 ◽  
Author(s):  
Yoojung Kim ◽  
Bongshin Lee ◽  
Eun Kyoung Choe

Abstract Objective Despite the potential values self-tracking data could offer, we have little understanding of how much access people have to “their” data. Our goal of this article is to unveil the current state of the data accessibility—the degree to which people can access their data—of personal health apps in the market. Materials and Methods We reviewed 240 personal health apps from the App Store and selected 45 apps that support semi-automated tracking. We characterized the data accessibility of these apps using two dimensions—data access methods and data types. Results More than 90% of our sample apps (n = 41) provide some types of data access support, which include synchronizing data with a health platform (ie, Apple Health), file download, and application program interfaces. However, the two approachable data access methods for laypeople—health platform and file download—typically put a significant limit on data format, granularity, and amount, which constrains people from easily repurposing the data. Discussion Personal data should be accessible to the people who collect them, but existing methods lack sufficient support for people in accessing the fine-grained data. Lack of standards in personal health data schema as well as frequent changes in market conditions are additional hurdles to data accessibility. Conclusions Many stakeholders including patients, healthcare providers, researchers, third-party developers, and the general public rely on data accessibility to utilize personal data for various goals. As such, improving data accessibility should be considered as an important factor in designing personal health apps and health platforms.


2021 ◽  
Author(s):  
Christina Cheng ◽  
Emma Gearon ◽  
Melanie Hawkins ◽  
Crystal McPhee ◽  
Lisa Hanna ◽  
...  

BACKGROUND Online personal health records (PHR) have the potential to improve quality, accuracy, and timeliness of health care. However, uptake of online PHRs internationally has been slow. Populations experiencing disadvantages are also less likely to use online PHRs, potentially widening health inequities within and between countries. OBJECTIVE With limited understanding of the predictors of community uptake and utilization of online PHR, the aim of this study was to determine the predictors of awareness, engagement, and use of the Australian national online PHR, My Health Record (MyHR). METHODS A population-based survey of participants aged over 18 residing in regional Victoria, Australia was undertaken in 2018 using telephone interviews. Logistic regression, adjusted for age, was used to assess the relationship between independent variables including digital health literacy, health literacy, and demographic characteristics and 3 dependent variables of MyHR awareness, engagement, and use. Digital health literacy and health literacy were measured by multidimensional tools, using all 7 scales of the eHealth Literacy Questionnaire (eHLQ) and 4 out of the 9 scales of the Health Literacy Questionnaire (HLQ). RESULTS A total of 998 responses were analyzed. Digital health literacy was found to be a strong statistical predictor of MyHR awareness, engagement, and use. A 1 unit increase in each of the 7 eHLQ scales was associated with a 2- to 4-fold increase in the odds of using MyHR: 1. Using technology to process health information (odd ratio [OR] 4.14, 95% CI 2.34-7.31); 2. Understanding of health concepts and language (OR 2.25, 95% CI 1.08-4.69); 3. Ability to actively engage with digital services (OR 4.44, 95% CI 2.55-7.75); 4. Feel safe and in control (OR 2.36, 95% CI 1.43-3.88); 5. Motivated to engage with digital services (OR 4.24, 95% CI 2.36-7.61); 6. Access to digital services that work (OR2.49, 95% CI 1.32-4.69); 7. Digital services that suit individual needs (OR 3.48, 95% CI 1.97-6.15). The HLQ scales of health care support, actively managing health, and social support were also associated with a 1- to 2-fold increase in the odds of using MyHR. Using the internet to search for health information was another strong predictor but older people and people with less education were less likely to use MyHR. CONCLUSIONS This study provides insights into the predictors of the use of an online PHR. The findings indicate that, while digital skills training is likely to increase uptake and use of online PHR, initiatives to provides access, develop responsive digital services, establish good health care, and social support are also important. Population groups that are likely to be non-users of online PHR were also identified. A holistic approach and targeted solutions are needed to ensure that online PHR can realize its full potential to help reduce health inequities. CLINICALTRIAL Not applicable


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