The Pain Management Summary SMART on FHIR application was developed to support the pilot of the CDS artifact, Factors to Consider in Managing Chronic Pain: A Pain Management Summary. This artifact presents a variety of key "factors" for clinicians to consider when assessing the history of a patient's chronic pain. These factors include subjective and objective findings, along with recorded treatments and interventions to inform shared decision making on treatments moving forward.

The Pain Management Summary SMART on FHIR application was piloted during Summer 2018. Local modifications and development were needed to fully support this application in the pilot environment. For example, custom development was needed to expose pain assessments via the FHIR API. See the pilot reports for more information.

This application was originally piloted with support for FHIR DSTU2. The app has been updated since the pilot to also support FHIR R4, although pilot R4 support has not been piloted in a clinical setting. In addition, value sets and standardized codes have been updated since the pilot. See the comments in the bundled CQL for details.

Taking steps to ensure accessibility by the widest range of users, an accessibility subject matter expert performed a review of the application, enumerated issues found, and provided recommended remediations. In addition to the recommendations, the Mozilla ARIA Accessibility reference was used to address issues. The application was then manually tested using accessibility tools including JAWS, VoiceOver, and the WebAIM Contrast Checker.

This prototype application is part of the CDS Connect project, sponsored by the Agency for Healthcare Research and Quality (AHRQ), and developed under contract with AHRQ by MITRE's CAMH FFRDC.

For information about contributing to this project, please see CONTRIBUTING.

The Pain Management Summary is a web-based application implemented with the popular React JavaScript framework. The application adheres to the SMART on FHIR standard, allowing it to be integrated into EHR products that support the SMART on FHIR platform. To ensure the best adherence to the standard, the Pain Management Summary application uses the open source FHIR client library provided by the SMART Health IT group.

The logic used to determine what data to display in the Pain Management Summary is defined using CQL and integrated into the application as the corresponding JSON ELM representation of the CQL. The application analyzes the JSON ELM representation to determine what data is needed and then makes the corresponding queries to the FHIR server.

Once the necessary FHIR data has been retrieved from the EHR, the open source CQL execution engine library is invoked with it and the JSON ELM to calculate the structured summary of the data to display to the user. This structured summary is then used by the React components to render a user-friendly view of the information.

This CDS logic queries for several concepts that do not yet have standardized codes. To support this, the following local codes have been defined:

Systems integrating the Pain Management Summary will need to expose the corresponding data as observations using the codes above. As standardized codes become available, these local codes will be replaced.

1. Install Node.js (LTS edition, currently 16.x)
2. Install dependencies by executing npm install from the project's root directory
3. If you have a SMART-on-FHIR client ID, edit public/launch-context.json to specify it
4. NOTE: The launch context contains "completeInTarget": true. This is needed if you are running in an environment that initializes the app in a separate window (such as the public SMART sandbox). It can be safely removed in other cases.
5. If you'll be launching the app from an Epic EHR, modify .env to set REACT_APP_EPIC_SUPPORTED_QUERIES to true
6. Serve the code by executing npm start (runs on port 8000)

The Pain Management Summary can be deployed as static web resources on any HTTP server. There are several customizations, however, that need to be made based on the site where it is deployed.

1. Install Node.js (LTS edition, currently 16.x)
2. Install dependencies by executing npm install from the project's root directory
3. Modify the homepage value in package.json to reflect the path (after the hostname) at which it will be deployed a. For example, if deploying to https://my-server/pain-mgmt-summary/, the homepage value should be "http://localhost:8000/pain-mgmt-summary" (note that the hostname need not match) b. If deploying to the root of the domain, you can leave homepage as "."
4. Modify the clientId in public/launch-context.json to match the unique client ID you registered with the EHR from which this app will be launched
5. NOTE: The launch context contains "completeInTarget": true. This is needed if you are running in an environment that initializes the app in a separate window (such as the public SMART sandbox). It can be safely removed in other cases.
6. If you've set up an analytics endpoint (see below), set the analytics_endpoint and x_api_key in public/config.json
7. If you'll be launching the app from an Epic EHR, modify .env to set REACT_APP_EPIC_SUPPORTED_QUERIES to true a. This modifies some queries based on Epic-specific requirements
8. Run npm run build to compile the code to static files in the build folder
9. Deploy the output from the build folder to a standard web server

Optionally to step 9, you can run the static build contents in a simple Node http-server via the command: npm run start-static.

The value set content used by the CQL is cached in a file named valueset-db.json. If the CQL has been modified to add or remove value sets, or if the value sets themselves have been updated, you may wish to update the valueset-db.json with the latest codes. To do this, you will need a UMLS Terminology Services account.

To update the valueset-db.json file:

1. Run node src/utils/updateValueSetDB.js UMLS_API_KEY (replacing UMLS_API_KEY with your actual UMLS API key)

To get you UMLS API Key:

1. Sign into your UMLS account at https://uts.nlm.nih.gov/uts.html
2. Click 'My Profile' in the orange banner at the top of the screen
3. Your API key should be listed below your username in the table
4. If no API key is listed:
   1. Click ‘Edit Profile’
   2. Select the ‘Generate new API Key’ checkbox
   3. Click ‘Save Profile’
   4. Your new API key should now be listed.

To execute the unit tests:

1. Run npm test

Run the app via one of the options above, then:

1. Browse to http://launch.smarthealthit.org/
2. Select R2 (DSTU2) or R4 from the FHIR Version dropdown
3. In the App Launch URL box at the bottom of the page, enter: http://localhost:8000/AHRQ-CDS-Connect-PAIN-MANAGEMENT-SUMMARY/launch.html
4. Click Launch App!
5. Select a patient

Testing this SMART App is more meaningful when we can supply test patients that exercise various aspects of the application. Test patients are represented as FHIR bundles at src/utils/dstu2_test_patients and r4_test_patients. Since the CDS uses lookbacks (for example, only show MME in the last 6 months), the patient data occasionally needs to be updated to fit within the lookback windows. To automatically update the data to fit within the lookback windows as of today's date:

1. Run npm run update-test-patients

This will update all of the entries in the patient bundles to be appropriate relative to today's date. In addition, it sets each bundle's meta.lastUpdated to the current date. This is essential for ensuring that future updates work correctly since it uses the meta.lastUpdated date to determine how far back each other date should be relative to today.

Testing this SMART App is more meaningful when we can supply test patients that exercise various aspects of the application. Test patients are represented as FHIR bundles at src/utils/dstu2_test_patients and r4_test_patients. To upload the test patients to the public SMART sandbox:

1. Run npm run upload-test-patients

This adds a number of patients, mostly with the last name "Jackson" (for example, "Fuller Jackson" has entries in every section of the app). The SMART sandbox may be reset at any time, so you may need to run this command again if the database has been reset.

To enable launching the app via a direct URL (without the SMART Launcher page), you can reconfigure the app as a standalone app. To do so, follow these steps:

1. Overwrite the /public/launch-context.json file with these contents:

   {
     "clientId": "6c12dff4-24e7-4475-a742-b08972c4ea27",
     "scope":  "patient/*.read launch/patient",
     "iss": "url-goes-here"
   }

2. Restart the application server
3. Browse to http://launch.smarthealthit.org/
4. Select R2 (DSTU2) or R4 from the FHIR Version dropdown
5. In Launch Type, choose Provider Standalone Launch
6. Copy the FHIR URL in the FHIR Server URL box at the bottom of the page (e.g., http://launch.smarthealthit.org/v/r2/sim/eyJoIjoiMSIsImkiOiIxIiwiaiI6IjEifQ/fhir)
7. Paste it into /public/launch-context.json file where url-goes-here is
8. Browse to http://localhost:8000/AHRQ-CDS-Connect-PAIN-MANAGEMENT-SUMMARY/launch.html

NOTE: Do not check in the modified launch-context.json!

The public Epic sandbox does not provide any synthetic patients that exercise the Pain Management Summary logic very well. For this reason, testing against the public Epic sandbox is generally only useful to prove basic connection capability.

Run the app via one of the options above, then:

1. Browse to https://open.epic.com/Launchpad/Oauth2Sso
2. Select a patient from the dropdown
3. In the YOUR APP'S LAUNCH URL box, enter: http://localhost:8000/AHRQ-CDS-Connect-PAIN-MANAGEMENT-SUMMARY/launch.html
4. In the YOUR APP'S OAUTH2 REDIRECT URL box, enter: http://localhost:8000/AHRQ-CDS-Connect-PAIN-MANAGEMENT-SUMMARY/
5. Click Launch App

This app can post JSON-formatted analytic data to an endpoint each time the application is invoked.

The data that is posted reports whether or not the patient met the CDS inclusion criteria, lists each section and subsection of the summary (along with the number of entries in each subsection), and provides an overall count of entries. The basic form of the data is as follows:

{
  "meetsInclusionCriteria": <boolean>,
  "sections": [
    {
      "section": <stringName>,
      "subSections": [
        { "subSection": <stringName>, "numEntries": <intCount> },
        ...
      ]
    },
    ...
  ],
  "totalNumEntries": <intCount>
}

To enable posting of analytics, configure the analytics_endpoint and x_api_key in the public/config.json file. The default value is an empty string, which will not post any analytics.

This application can be deployed to GitHub Pages. This is the primary mechanism by which it is made available for testing by the SMART App Gallery.

To deploy to GitHub Pages:

1. Ensure that your git origin is set to the GitHub repository (you can check using git remote -v).
2. Ensure that you are on the branch you wish to deploy and that you do not have local code modifications that should not be deployed.
3. Run npm run deploy.

Once deployed, the launch URL for your deployed app will be:

https://ahrq-cds.github.io/AHRQ-CDS-Connect-PAIN-MANAGEMENT-SUMMARY/launch.html

Copyright 2018-2023 Agency for Healthcare Research and Quality

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.