| Literature DB >> 35474716 |
William J Gordon1,2,3, Robert S Rudin1,4.
Abstract
Objective: Improving health data interoperability through application programming interfaces (APIs) is a focus of US policy initiatives and could have tremendous impact on many aspects of care delivery, such as innovation, operational efficiency, and patient-centered care. To better understand the landscape of API use cases, we interviewed US thought leaders involved in developing and implementing standard-based APIs. Materials andEntities:
Keywords: FHIR; application programming interfaces; interoperability
Year: 2022 PMID: 35474716 PMCID: PMC9030107 DOI: 10.1093/jamiaopen/ooac023
Source DB: PubMed Journal: JAMIA Open ISSN: 2574-2531
Categories of use cases for standards-based APIs, with examples, anticipated value, and barriers
| Use case category | Example use case | Value of APIs | Barriers to API adoption |
|---|---|---|---|
| Patient-facing |
Patients access EHR data using third-party app Patients download and use claims data from health plan in third-party app Patients use single app to schedule appointments across all their providers |
EHR data are easier for patients to review, aggregate, share, or use for health-related decisions and activities Payer data can help patients make decisions that take costs into account |
Business model for patient-facing apps are lacking Value to patients of aggregating EHR data or claims data alone may be limited Variable workflows (eg, for scheduling) present challenges for write-based use cases EHR vendors do not always publish endpoints or make it easy to register apps EHR data may be missing or incomplete Patients may not trust app companies with their data |
| Clinician-facing |
CDS apps extend EHR functionality, allowing customizations not natively supported by EHR App is developed at 1 institution and easily installed at a different system Clinicians can access data from another healthcare system |
Facilitates innovation in EHR-based functionality by extending core capabilities; new features can improve care in myriad ways (eg, clinical decision support, workflow improvement) Improves clinician professional satisfaction through more usable tools |
Fee structures for app developers may limit innovation Data elements available via API vary by vendor so proprietary APIs are still needed Surfacing apps in workflows is challenging (low adoption of CDS hooks) Writing back to APIs is complicated by downstream business logic |
| Population health and value-based care |
Provider accesses claims data submitted by other providers Quality measures are retrieved from EHR data and reported to payer |
Makes more data available for clinical decisions, reduces data collection burden, allows for tracking follow-up visits, enables standardization and reuse of analytic tools Standardizes chart abstraction to enable automation and replace expensive, manual, error-prone processes |
Lack of trust among providers with sharing data with other providers and with payers FHIR endpoints not established among most providers Integration of data in workflow is challenging |
| Public health |
Provider sends and receives immunization data to public health reporting agencies Public health agency receives reportable electronic case data from provider EHR Patient accesses immunization data through app (through EHR or from registry directly) |
Improves accuracy, quality, completeness, and timeliness of data for public health decisions, forecasting needs, and use in clinical care More efficient data exchange to meet regional and federal reporting requirements |
Public health agencies lack IT infrastructure and money Federal and regional reporting requirements vary substantially |
| Administrative |
Prior Authorization determinations—bidirectional exchange between provider and payer Eligibility checking—bidirectional exchange between provider and payer Payer exchange (of claims data when patients switch plans) |
Standardizes payer–provider interaction to improve efficiency and accuracy of payment-related determinations Makes it easier for new payer to access claims history for coverage decisions, especially valuable for patients with multiple chronic conditions |
Lack of trust between payers and providers with exchanging data (value-based contracts better align payer–provider incentives when both parties bear risk) Payers lack experience and work processes for giving real-time responses to prior authorization determinations |
| Integrating clinical and social services |
Screening for social risk Closed-loop referrals to social services |
Facilitates integration of standards-based social risk assessment questionnaires into EHR Enables clinicians to query social services for capabilities/availability, and execute/track referrals |
Social services lack IT infrastructure and money Capture of social data is unreliable in EHRs and would require workflow changes Unclear financial incentives for data sharing |
API: application programming interface; CDS: clinical decision support; EHR: electronic health record; FHIR: fast healthcare interoperability resources.