SMART Markers: collecting patient-generated health data as a standardized property of health information technology
Abstract A patient-centered health system needs precise computable measurements to derive value. While validated patient-reported outcomes (PROs) are increasingly used in trials, their adoption in care remains limited and generally separated from the medical record. Further, absence of systematic pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2020-01-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-020-0218-6 |
| _version_ | 1797641225051832320 |
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| author | Raheel Sayeed Daniel Gottlieb Kenneth D. Mandl |
| author_facet | Raheel Sayeed Daniel Gottlieb Kenneth D. Mandl |
| author_sort | Raheel Sayeed |
| collection | DOAJ |
| description | Abstract A patient-centered health system needs precise computable measurements to derive value. While validated patient-reported outcomes (PROs) are increasingly used in trials, their adoption in care remains limited and generally separated from the medical record. Further, absence of systematic processes for patient-led data submission excludes valuable data from digital devices that can potentially aid in contextualizing health status. With prior experience in developing apps for the Patient-Reported Outcomes Measurement Information System (PROMIS), we sought to make collecting patient-generated health data (PGHD) a fundamental property of health information technology at scale, and in an interoperable, standards-compliant fashion. We build upon the open SMART on FHIR (Fast Health Interoperability Resources) specification to create SMART Markers—a mobile device software framework encapsulating functionality needed for rapid deployment of both patient- and practitioner-facing PGHD apps. We refactored previously developed PROMIS apps to use SMART Markers for handling PGHD-request creation, on-device administration, and generation of a variety of PGHD types and submission of results to a FHIR server. Validation and conformance tests were performed on the generated output and app-reusability was demonstrated across two demo servers. App developers can import SMART Markers into their existing or new apps to readily leverage an interoperable PGHD capturing functionality out of the box, without having to reinvent the wheel. Our approach enables the creation of health system integrated, context-specific experiences for both patients and practitioners. |
| first_indexed | 2024-03-11T13:42:32Z |
| format | Article |
| id | doaj.art-a80cc95ab5dc451faedab198eaec3b14 |
| institution | Directory Open Access Journal |
| issn | 2398-6352 |
| language | English |
| last_indexed | 2024-03-11T13:42:32Z |
| publishDate | 2020-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj.art-a80cc95ab5dc451faedab198eaec3b142023-11-02T11:23:16ZengNature Portfolionpj Digital Medicine2398-63522020-01-01311810.1038/s41746-020-0218-6SMART Markers: collecting patient-generated health data as a standardized property of health information technologyRaheel Sayeed0Daniel Gottlieb1Kenneth D. Mandl2Computational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalAbstract A patient-centered health system needs precise computable measurements to derive value. While validated patient-reported outcomes (PROs) are increasingly used in trials, their adoption in care remains limited and generally separated from the medical record. Further, absence of systematic processes for patient-led data submission excludes valuable data from digital devices that can potentially aid in contextualizing health status. With prior experience in developing apps for the Patient-Reported Outcomes Measurement Information System (PROMIS), we sought to make collecting patient-generated health data (PGHD) a fundamental property of health information technology at scale, and in an interoperable, standards-compliant fashion. We build upon the open SMART on FHIR (Fast Health Interoperability Resources) specification to create SMART Markers—a mobile device software framework encapsulating functionality needed for rapid deployment of both patient- and practitioner-facing PGHD apps. We refactored previously developed PROMIS apps to use SMART Markers for handling PGHD-request creation, on-device administration, and generation of a variety of PGHD types and submission of results to a FHIR server. Validation and conformance tests were performed on the generated output and app-reusability was demonstrated across two demo servers. App developers can import SMART Markers into their existing or new apps to readily leverage an interoperable PGHD capturing functionality out of the box, without having to reinvent the wheel. Our approach enables the creation of health system integrated, context-specific experiences for both patients and practitioners.https://doi.org/10.1038/s41746-020-0218-6 |
| spellingShingle | Raheel Sayeed Daniel Gottlieb Kenneth D. Mandl SMART Markers: collecting patient-generated health data as a standardized property of health information technology npj Digital Medicine |
| title | SMART Markers: collecting patient-generated health data as a standardized property of health information technology |
| title_full | SMART Markers: collecting patient-generated health data as a standardized property of health information technology |
| title_fullStr | SMART Markers: collecting patient-generated health data as a standardized property of health information technology |
| title_full_unstemmed | SMART Markers: collecting patient-generated health data as a standardized property of health information technology |
| title_short | SMART Markers: collecting patient-generated health data as a standardized property of health information technology |
| title_sort | smart markers collecting patient generated health data as a standardized property of health information technology |
| url | https://doi.org/10.1038/s41746-020-0218-6 |
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