Health Cloud Administration

Administer Health Cloud
Where Do I Start with Health Cloud?
Health Cloud Data Models
Health Cloud Provider Network and Relationship Management
Health Cloud Sales and Commercial Excellence
Health Cloud Utilization Management
Health Cloud for Life Sciences
Health Cloud for Insurance
Types of People in Health Cloud
Quick Start List for a Successful Health Cloud Implementation
Set Up Health Cloud
Use the Health Cloud - Admin App
Customize the Health Cloud Console
Customize the Health Cloud Apps
Contact Center for Health Cloud
Code Sets and Code Set Bundles
Reporting in Health Cloud
Flow for Health Cloud
OmniStudio for Health Cloud
Help Patients Connect with Providers
Protect Personal Health Information
Experience Cloud Sites
Intelligent Appointment Management
Virtual Care
Medication Management and Medication Review
Advanced Therapy Management
Intelligent Document Automation
Intelligent Document Reader
Intelligent Form Reader
Document Generation in Health Cloud
Manage Patient or Member Care to Improve Outcomes
Integrated Care Management
Care Coordination for Slack
Unified Health Scoring
Home Health
Provide Easy Access to Protocols and Articles in Health Cloud
Provide Assessments and Surveys for Gathering Information and Feedback
Crisis Support Center Management
Manage Your Network of Providers
Behavioral Health App
Help High-Risk Patients and Members
Manage Care Requests
Verify Patient Benefits
Support Emergency Response Management and Contact Tracing
Use Care Programs to Track and Manage Cohorts of Patients and Members
Remote Monitoring Patients
Process Insurance Claims from External Sources
Automate Key User Tasks with Flows
Set up Action Plans
Manage Campaigns
Support and Manage Provider Referrals
CRM Analytics and Artificial Intelligence
Provide Patient and Member Insights with Analytics
Set Up Artificial Intelligence Use Cases
Assign Permission Sets for the CRM Analytics Templates
Configure Field-Level Security for Analytics Integration Users
Set Up Your Salesforce Org to Use the Templates
Prior-Authorization Review SLA Breach Predictions
Services Pathway and Bundling Recommendations
Sync Data from Necessary Objects to Generate Services Pathway and Bundling Recommendations
Create an App to Get Recommended Services and Drugs
Services Pathway and Bundling Recommendation Recipes, Datasets, and Dashboards
Care Professional Recommendations by Using Scoring Framework
Manage Commercial Excellence
Manage Inventories, Surgical Cases, and Cycle Counts with Intelligent Sales
Support Health Cloud for Mobile Users
Enhanced Timeline
Actionable Relationship Center in Health Cloud
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Create an App to Get Recommended Services and Drugs

Use the Services Pathway and Bundling Recommendations template to create an app that generates a list of services that are likely to be included in authorization requests.

Available in: Lightning Experience

Available in: Enterprise and Unlimited Editions of Health Cloud with the Revenue Intelligence for Health license

User Permissions Needed
To create and manage CRM Analytics apps: Manage CRM Analytics Templated Apps
  1. From the App Launcher, find and select Analytics Studio.
  2. Click Create, and then select App.
  3. Select Services Pathway and Bundling Recommendations, and then click Continue.
  4. Review the preview page, and then click Continue.
  5. Choose to create an app or to use settings from an existing app, and then click Continue.
    Analytics runs a compatibility check of the data in Salesforce.
    1. If the compatibility check fails, follow the instructions in the error message to resolve the issues, and then try to create the app again.
    2. If the compatibility check completes successfully, click Looks good, next.
  6. Select the number of days that you want to get the list of recommended services and drugs for, and then click Looks good, next.
    The services pathway recommendations are generated for the selected number of days in the future for authorization requests.
  7. Enter a name for your app, and then click Create.
    Creating the app takes a few minutes.
  8. To view your app after the process is complete, refresh the page.
The app now runs preconfigured recipes to create historical, example, prediction, and recommendation datasets, and dashboards.

The Einstein Discovery model that gets the predictions runs only when:

  • A minimum of 400 records are available for filtering in the example dataset, and
  • After filtering the example dataset based on the app settings, a minimum of 100 records have the target variable and 100 records don't have the target variable.
  • Members with a single primary diagnosis have more than one related care request records.

Important