Driving Innovation in Health Systems through an Apps-Based Information Economy

Mandl, Kenneth D.; Mandel, Joshua C.; Kohane, Isaac S.

doi:10.1016/j.cels.2015.05.001

Cited by 118 publications

(72 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is also likely that healthcare data will become accessible via standardized open software interfaces (apps) to researchers (and patients) with a focus on ‘efficacy, accuracy, utility, safety, privacy and security’ features. 34 …”

Section: Role Of Electronic Medical Records (Emr) and Ehealthmentioning

confidence: 99%

The Future of Cardiovascular Epidemiology

Vasan

Benjamin

2016

Circulation

View full text Add to dashboard Cite

Section: Role Of Electronic Medical Records (Emr) and Ehealthmentioning

confidence: 99%

The Future of Cardiovascular Epidemiology

Vasan

Benjamin

2016

Circulation

View full text Add to dashboard Cite

“…Any technologies incorporated into the system should be sustainable yet flexible to allow for substitut ability as the situation demands. Mandl and colleagues have proposed an ecosystem for apps that would inter face with electronic medical record systems 107 . These apps operate as 'side cars' that inter digitate with an electronic medical record system to provide a user interface that can display data and transfer informa tion, such as recom mendations for practice on the basis of prediction algorithms.…”

Section: Precision Participant Descriptormentioning

confidence: 99%

Precision medicine in cardiology

2016

View full text Add to dashboard Cite

The cardiovascular research and clinical communities are ideally positioned to address the epidemic of noncommunicable causes of death, as well as advance our understanding of human health and disease, through the development and implementation of precision medicine. New tools will be needed for describing the cardiovascular health status of individuals and populations, including 'omic' data, exposome and social determinants of health, the microbiome, behaviours and motivations, patient-generated data, and the array of data in electronic medical records. Cardiovascular specialists can build on their experience and use precision medicine to facilitate discovery science and improve the efficiency of clinical research, with the goal of providing more precise information to improve the health of individuals and populations. Overcoming the barriers to implementing precision medicine will require addressing a range of technical and sociopolitical issues. Health care under precision medicine will become a more integrated, dynamic system, in which patients are no longer a passive entity on whom measurements are made, but instead are central stakeholders who contribute data and participate actively in shared decision-making. Many traditionally defined diseases have common mechanisms; therefore, elimination of a siloed approach to medicine will ultimately pave the path to the creation of a universal precision medicine environment.

show abstract

“…This change, along with the implementation of modern authorization (OAuth2) and authentication (OpenID Connect) protocols, led to the creation of SMART on FHIR [40]. SMART on FHIR has become increasingly recognized as the preferred solution to enable app-based health information tools [41,42]; the SMART app gallery now has 46 apps, the majority of which are conformant to SMART on FHIR specifications (https:// gallery.smarthealthit.org/). Over the past two years, a number of studies have demonstrated SMART on FHIR being implemented in a variety of high-impact settings.…”

Section: The Health Level 7: Fast Healthcare Interoperability Resourcmentioning

confidence: 99%

Representing Knowledge Consistently Across Health Systems

Rosenbloom¹,

Carroll²,

Warner³

et al. 2017

Yearb Med Inform

View full text Add to dashboard Cite

SummaryObjectives: Electronic health records (EHRs) have increasingly emerged as a powerful source of clinical data that can be leveraged for reuse in research and in modular health apps that integrate into diverse health information technologies. A key challenge to these use cases is representing the knowledge contained within data from different EHR systems in a uniform fashion. Method: We reviewed several recent studies covering the knowledge representation in the common data models for the Observational Medical Outcomes Partnership (OMOP) and its Observational Health Data Sciences and Informatics program, and the United States Patient Centered Outcomes Research Network (PCORNet). We also reviewed the Health Level 7 Fast Healthcare Interoperability Resource standard supporting app-like programs that can be used across multiple EHR and research systems. Results: There has been a recent growth in high-impact efforts to support quality-assured and standardized clinical data sharing across different institutions and EHR systems. We focused on three major efforts as part of a larger landscape moving towards shareable, transportable, and computable clinical data. Conclusion: The growth in approaches to developing common data models to support interoperable knowledge representation portends an increasing availability of high-quality clinical data in support of research. Building on these efforts will allow a future whereby significant portions of the populations in the world may be able to share their data for research.

show abstract

Driving Innovation in Health Systems through an Apps-Based Information Economy

Cited by 118 publications

References 17 publications

The Future of Cardiovascular Epidemiology

The Future of Cardiovascular Epidemiology

Precision medicine in cardiology

Representing Knowledge Consistently Across Health Systems

Contact Info

Product

Resources

About