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
Get Started with Intelligent Appointment Management
Create Work Type Code Set Bundles for Scheduling
Create Appointment Reasons and Engagement Channel Types
Set Up Your Back-End Scheduling System
Configure Intelligent Appointment Management Component
Enable Patients to Schedule Their Own Appointments
Appointment Guidance
Reduce Patient No-Shows with CRM Analytics Prediction
Assign Admin Permission Sets for CRM Analytics Prediction
Grant Schedulers Access to Appointment Time Predictions
Grant the Integration User Access to Required Fields
Create a CRM Analytics App for Attendance Prediction
Examine Attendance Insights and Predictions
Identify the Prediction ID
Modify the Intelligent Appointment Management Configuration for Einstein Discovery
Update Appointment Prediction Model Records
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
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 a CRM Analytics App for Attendance Prediction

To provide predictions for appointment management, you need a CRM Analytics App. This app is where Einstein calculates the patient’s likelihood to attend.

Available in: Lightning Experience

Available in: Enterprise and Unlimited Editions with Health Cloud

User Permissions Needed
To use Einstein Discovery CRM Analytics for Healthcare

Einstein Discovery needs a minimum of 400 service appointment records to build the prediction model. Import this data from the external scheduling system using the Data Loader. These records can be up to 730 days old from the day of the import. The status category for records of completed appointments must be Completed. For incomplete appointments, the status category must be Cannot Complete and the status reason must be No Show. To stay synchronized with the external scheduling system and to get more accurate predictions, ensure that the status of each service appointment in Health Cloud is up to date.

  1. From Setup, in the Quick Find box, enter Getting Started, and then select Getting Started.
  2. Click Enable CRM Analytics.
  3. Click Launch CRM Analytics.
  4. On the Welcome, Admin User! page, click Create, and then select App.
  5. From Recommended Templates, select Einstein Discovery for Healthcare Analytics.
  6. Review the information on the Einstein Discovery for Healthcare Analytics Details page.
  7. On the Einstein Discovery for Healthcare Analytics - Pick answers to reuse page, select Create a brand new app, and then on the Einstein Discovery for Healthcare Analytics - Personalize page click Looks good, next.
    All the fields that are used to make appointment attendance predictions are selected by default. To create a prediction model, at least two fields are required. The City, Country, State, and Zip Code fields come from the Account object in Salesforce.
  8. Clear the fields that you don’t want included in your model, and then click Looks good, next. Don’t clear the Hours and Weekday fields.
  9. Enter a name for your app, and then click Create.