OpenEMR App Registration

Acknowledgments, Licensing and Certification

App Registration Form

Application Type

Confidential clients must be able to securely safeguard a secret.

If your application cannot keep a secret (such as an application that runs in a web browser) you should use the public application type.

Confidential Public

Application Context

Single Patient Application

Multiple Patients Application

System Client Application

Multipurpose Application

system, user, and offline_access scopes require confidential app permissions.

Confidential apps are applications that are able to safely and securely store a secret. Browser based and many mobile applications do not satisfy this security constraint

App Name:

Contact Email:

App Redirect URI:

App Launch URI:

App Logout URI:

The following items are required for System Scopes

JSON Web Key Set URI:

JSON Web Key Set (Note a hosted web URI is preferred and this feature may be removed in future SMART versions):

Does your application include any Decision Support Intervention (DSI)?

Indicate if you use any form of evidence based DSI or predictive/AI based DSI in your application

Note some regulatory environments such as the USA require that we collect source attribute information on DSI if your application uses it.

No DSI used Predictive DSI Used Evidence Based DSI Used

Predictive DSI Source Attributes

Name and contact information for the intervention developer

Funding source of the technical implementation for the intervention(s) development

Description of value that the intervention produces as an output

Whether the intervention output is a prediction, classification, recommendation, evaluation, analysis, or other type of output

Intended use of the intervention

Intended patient population(s) for the intervention`s use

Intended user(s)

Intended decision-making role for which the intervention was designed to be used/for (e_g_, informs, augments, replaces clinical management)

Description of tasks, situations, or populations where a user is cautioned against applying the intervention

Known risks, inappropriate settings, inappropriate uses, or known limitations of the intervention

Exclusion and inclusion criteria that influenced the training data set

Use of variables in paragraph US § 170.315 (b)(11)(iv)(A)(5)-(13) as input features (use of race, ethnicity, language, sexual orientation, gender identity, sex, date of birth, social determinants of health, and health status assessment)

Description of demographic representativeness according to variables in paragraph US § 170.315 (b)(11)(iv)(A)(5)-(13) including, at a minimum, those used as input features in the intervention

Description of relevance of training data to intended deployed setting

Description of the approach the intervention developer has taken to ensure that the intervention`s output is fair

Description of approaches to manage, reduce, or eliminate bias

Description of the data source, clinical setting, or environment where an intervention`s validity and fairness has been assessed, other than the source of training and testing data

Party that conducted the external testing

Description of demographic representativeness of external data according to variables in paragraph US § 170.315 (b)(11)(iv)(A)(5)-(13) including, at a minimum, those used as input features in the intervention

Description of external validation process

Validity of intervention in test data derived from the same source as the initial training data

Fairness of intervention in test data derived from the same source as the initial training data

Validity of intervention in data external to or from a different source than the initial training data

Fairness of intervention in data external to or from a different source than the initial training data

References to evaluation of use of the intervention on outcomes, including, bibliographic citations or hyperlinks to evaluations of how well the intervention reduced morbidity, mortality, length of stay, or other outcomes

Description of process and frequency by which the intervention`s validity is monitored over time

Validity of intervention in local data

Description of the process and frequency by which the intervention`s fairness is monitored over time

Fairness of intervention in local data

Description of process and frequency by which the intervention is updated

Description of frequency by which the intervention`s performance is corrected when risks related to validity and fairness are identified

Evidence Based DSI Source Attributes

Bibliographic citation of the intervention (clinical research or guideline)

Developer of the intervention (translation from clinical research or guideline)

Funding source of the technical implementation for the intervention(s) development

Release and, if applicable, revision dates of the intervention or reference source

Intervention use of race as expressed in the standards in US § 170.213

Intervention use of ethnicity as expressed in the standards in US § 170.213

Intervention use of language as expressed in the standards in US § 170.213

Intervention use of sexual orientation as expressed in the standards in US § 170.213

Intervention use of gender identity as expressed in the standards in US § 170.213

Intervention use of sex as expressed in the standards in US § 170.213

Intervention use of date of birth as expressed in the standards in US § 170.213

Intervention use of social determinants of health data as expressed in the standards in US § 170.213

Intervention use of health status assessments data as expressed in the standards in US § 170.213