@article{burkhardt_stayhome_2021,
	title = {{StayHome}: {A} {FHIR}-{Native} {Mobile} {COVID}-19 {Symptom} {Tracker} and {Public} {Health} {Reporting} {Tool}},
	volume = {13},
	issn = {1947-2579},
	shorttitle = {{StayHome}},
	url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075351/},
	doi = {10.5210/ojphi.v13i1.11462},
	abstract = {As the COVID-19 pandemic continues to unfold and states experience the impacts of
reopened economies, it is critical to efficiently manage new outbreaks through
widespread testing and monitoring of both new and possible cases. Existing
labor-intensive public health workflows may benefit from information collection
directly from individuals through patient-reported outcomes (PROs) systems. Our
objective was to develop a reusable, mobile-friendly application for collecting
PROs and experiences to support COVID-19 symptom self-monitoring and data
sharing with appropriate public health agencies, using Fast Healthcare
Interoperability Resources (FHIR) for interoperability. We conducted a needs
assessment and designed and developed StayHome, a mobile PRO administration
tool. FHIR serves as the primary data model and driver of business logic.
Keycloak, AWS, Docker, and other technologies were used for deployment. Several
FHIR modules were used to create a novel “FHIR-native” application
design. By leveraging FHIR to shape not only the interface strategy but also the
information architecture of the application, StayHome enables the consistent
standards-based representation of data and reduces the barrier to integration
with public health information systems. FHIR supported rapid application
development by providing a domain-appropriate data model and tooling. FHIR
modules and implementation guides were referenced in design and implementation.
However, there are gaps in the FHIR specification which must be recognized and
addressed appropriately. StayHome is live and accessible to the public at
https://stayhome.app. The code and resources required to build
and deploy the application are available from https://github.com/uwcirg/stayhome-project.},
	number = {1},
	urldate = {2021-08-13},
	journal = {Online Journal of Public Health Informatics},
	author = {Burkhardt, Hannah A. and Brandt, Pascal S. and Lee, Jenney R. and Karras, Sierramatice W. and Bugni, Paul F. and Cvitkovic, Ivan and Chen, Amy Y. and Lober, William B.},
	month = mar,
	year = {2021},
	pmid = {33936522},
	pmcid = {PMC8075351},
	pages = {e2},
}

{"_id":"oLT9GxDwRSkFv6F4h","bibbaseid":"burkhardt-brandt-lee-karras-bugni-cvitkovic-chen-lober-stayhomeafhirnativemobilecovid19symptomtrackerandpublichealthreportingtool-2021","author_short":["Burkhardt, H. A.","Brandt, P. S.","Lee, J. R.","Karras, S. W.","Bugni, P. F.","Cvitkovic, I.","Chen, A. Y.","Lober, W. B."],"bibdata":{"bibtype":"article","type":"article","title":"StayHome: A FHIR-Native Mobile COVID-19 Symptom Tracker and Public Health Reporting Tool","volume":"13","issn":"1947-2579","shorttitle":"StayHome","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075351/","doi":"10.5210/ojphi.v13i1.11462","abstract":"As the COVID-19 pandemic continues to unfold and states experience the impacts of reopened economies, it is critical to efficiently manage new outbreaks through widespread testing and monitoring of both new and possible cases. Existing labor-intensive public health workflows may benefit from information collection directly from individuals through patient-reported outcomes (PROs) systems. Our objective was to develop a reusable, mobile-friendly application for collecting PROs and experiences to support COVID-19 symptom self-monitoring and data sharing with appropriate public health agencies, using Fast Healthcare Interoperability Resources (FHIR) for interoperability. We conducted a needs assessment and designed and developed StayHome, a mobile PRO administration tool. FHIR serves as the primary data model and driver of business logic. Keycloak, AWS, Docker, and other technologies were used for deployment. Several FHIR modules were used to create a novel “FHIR-native” application design. By leveraging FHIR to shape not only the interface strategy but also the information architecture of the application, StayHome enables the consistent standards-based representation of data and reduces the barrier to integration with public health information systems. FHIR supported rapid application development by providing a domain-appropriate data model and tooling. FHIR modules and implementation guides were referenced in design and implementation. However, there are gaps in the FHIR specification which must be recognized and addressed appropriately. StayHome is live and accessible to the public at https://stayhome.app. The code and resources required to build and deploy the application are available from https://github.com/uwcirg/stayhome-project.","number":"1","urldate":"2021-08-13","journal":"Online Journal of Public Health Informatics","author":[{"propositions":[],"lastnames":["Burkhardt"],"firstnames":["Hannah","A."],"suffixes":[]},{"propositions":[],"lastnames":["Brandt"],"firstnames":["Pascal","S."],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Jenney","R."],"suffixes":[]},{"propositions":[],"lastnames":["Karras"],"firstnames":["Sierramatice","W."],"suffixes":[]},{"propositions":[],"lastnames":["Bugni"],"firstnames":["Paul","F."],"suffixes":[]},{"propositions":[],"lastnames":["Cvitkovic"],"firstnames":["Ivan"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Amy","Y."],"suffixes":[]},{"propositions":[],"lastnames":["Lober"],"firstnames":["William","B."],"suffixes":[]}],"month":"March","year":"2021","pmid":"33936522","pmcid":"PMC8075351","pages":"e2","bibtex":"@article{burkhardt_stayhome_2021,\n\ttitle = {{StayHome}: {A} {FHIR}-{Native} {Mobile} {COVID}-19 {Symptom} {Tracker} and {Public} {Health} {Reporting} {Tool}},\n\tvolume = {13},\n\tissn = {1947-2579},\n\tshorttitle = {{StayHome}},\n\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075351/},\n\tdoi = {10.5210/ojphi.v13i1.11462},\n\tabstract = {As the COVID-19 pandemic continues to unfold and states experience the impacts of\nreopened economies, it is critical to efficiently manage new outbreaks through\nwidespread testing and monitoring of both new and possible cases. Existing\nlabor-intensive public health workflows may benefit from information collection\ndirectly from individuals through patient-reported outcomes (PROs) systems. Our\nobjective was to develop a reusable, mobile-friendly application for collecting\nPROs and experiences to support COVID-19 symptom self-monitoring and data\nsharing with appropriate public health agencies, using Fast Healthcare\nInteroperability Resources (FHIR) for interoperability. We conducted a needs\nassessment and designed and developed StayHome, a mobile PRO administration\ntool. FHIR serves as the primary data model and driver of business logic.\nKeycloak, AWS, Docker, and other technologies were used for deployment. Several\nFHIR modules were used to create a novel “FHIR-native” application\ndesign. By leveraging FHIR to shape not only the interface strategy but also the\ninformation architecture of the application, StayHome enables the consistent\nstandards-based representation of data and reduces the barrier to integration\nwith public health information systems. FHIR supported rapid application\ndevelopment by providing a domain-appropriate data model and tooling. FHIR\nmodules and implementation guides were referenced in design and implementation.\nHowever, there are gaps in the FHIR specification which must be recognized and\naddressed appropriately. StayHome is live and accessible to the public at\nhttps://stayhome.app. The code and resources required to build\nand deploy the application are available from https://github.com/uwcirg/stayhome-project.},\n\tnumber = {1},\n\turldate = {2021-08-13},\n\tjournal = {Online Journal of Public Health Informatics},\n\tauthor = {Burkhardt, Hannah A. and Brandt, Pascal S. and Lee, Jenney R. and Karras, Sierramatice W. and Bugni, Paul F. and Cvitkovic, Ivan and Chen, Amy Y. and Lober, William B.},\n\tmonth = mar,\n\tyear = {2021},\n\tpmid = {33936522},\n\tpmcid = {PMC8075351},\n\tpages = {e2},\n}\n\n","author_short":["Burkhardt, H. A.","Brandt, P. S.","Lee, J. R.","Karras, S. W.","Bugni, P. F.","Cvitkovic, I.","Chen, A. Y.","Lober, W. 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