Health Cloud Administration
jServices Pathway and Bundling Recommendation Recipes and Datasets
The app created using the Services Pathway and Bundling Recommendations template creates
three recipes: Get Example Set, Get Prediction Set, and Get Recommended Services. The recipes
create historical, example, prediction, and recommendation datasets.
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Available in: Lightning Experience Available in: Enterprise and Unlimited Editions of Health Cloud with the Revenue Intelligence for Health license |
The app created using the Services Pathway and Bundling Recommendations template creates these recipes.
| Recipe | Description | Output |
|---|---|---|
| Get Example Set | Evaluates data from accounts, cases, care requests, care request drugs, care request extensions, care request items, care diagnoses, code sets, contacts, healthcare facilities, healthcare providers, and users to create historical datasets that Einstein analyzes and example datasets that Einstein learns from. |
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| Get Prediction Set | Evaluates data from accounts, cases, care requests, care request drugs, care request extensions, care request items, care diagnoses, contacts, healthcare facilities, healthcare providers, and users to create prediction datasets for which Einstein provides recommendations. |
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| Get Recommended Services | Evaluates the prediction datasets to get the recommended list of services and drugs that are likely to be requested. |
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You can modify the recipes in these scenarios:
- Your schema deviates from the Health Cloud schema.
- A custom field of an existing entity changes.
- The use of feature data changes from an existing entity to a custom entity.
- The data doesn’t load properly.
- The app stops working because of incorrect data values.