Health-Cloud-Accredited-Professional Exam Dumps - Salesforce Health Cloud Questions and Answers

For implementing a Contact Center leveraging Health Cloud, identifying pain points and defining project requirements involves collaborating with:

Contact Center Agent (Persona):

Frontline staff who interact directly with patients.

Provide insights into the day-to-day challenges in appointment scheduling, billing inquiries, and plan updates.

Salesforce Administrator (Stakeholder):

Responsible for configuring Health Cloud and implementing workflows to address identified pain points.

Integration Architect (Stakeholder):

Ensures smooth integration between Health Cloud and external systems like billing platforms or insurance providers.

Why Other Options Are Incorrect:

A: Care coordinators are not directly involved in patient-initiated contact center interactions. Tableau developers focus on reporting, not operational processes.

C: MuleSoft developers are not primary stakeholders for contact center operations.

D: General physicians and Marketing Cloud administrators do not contribute directly to Contact Center workflows.

Bloomington Caregivers is transitioning from the legacy Health Cloud Electronic Health Record (EHR) data model to the FHIR R4-aligned Clinical Data Model. This migration enhances interoperability and aligns with current healthcare data standards. The following steps are essential for a successful transition:

Utilize the Health Cloud Clinical Transition Tool (Answer A):

Purpose: Salesforce provides the Health Cloud Clinical Transition tool to facilitate the migration from the legacy EHR data model to the FHIR R4-aligned Clinical Data Model.

Functionality: This tool automates the migration process by mapping legacy EHR objects to their corresponding FHIR R4-aligned Clinical Data Model objects, ensuring data integrity and consistency.

Implementation Steps:

Preparation: Review existing data to identify the scope of migration and ensure data quality.

Execution: Run the Clinical Transition tool to perform the automated mapping and data migration.

Validation: Verify the migrated data to ensure accuracy and completeness.

Advanced Therapy Management (ATM) in Salesforce Health Cloud is specifically designed to support complex workflows and scheduling requirements, particularly for therapies involving multiple interdependent appointments. For a gene therapy program, ATM provides these features:

Reschedule Part of the Appointment Chain (Option A):

In complex workflows where multiple steps are involved (e.g., collection, processing, infusion), ATM allows administrators to reschedule individual appointments within the chain without disrupting the entire workflow.

This flexibility is crucial for accommodating unexpected delays or changes in the therapy process.

Book Multi-Step Appointments (Option B):

ATM supports the scheduling of interdependent, multi-step appointments that are a common feature of advanced therapies such as gene therapy.

For example, steps like apheresis, manufacturing, and infusion can be scheduled in sequence, ensuring coordination across various stakeholders.

Optimize Appointment Chain with Einstein (Option C):

While optimization using Einstein is a broader Salesforce capability, it is not directly tied to Advanced Therapy Management's out-of-the-box scheduling features.

Schedule a Telehealth Appointment (Option D):

Telehealth appointments are not the focus of ATM, which is designed for in-person and complex therapy workflows.

To enable Assessments in Salesforce Health Cloud, administrators must configure the org appropriately, ensuring that users can effectively utilize assessment tools for patient evaluations. The following steps are essential:

Download and Install OmniStudio (Answer A):

Purpose: OmniStudio provides a suite of declarative tools, including OmniScripts and DataRaptors, essential for building and managing assessments within Health Cloud.

Implementation Steps:

Access Salesforce AppExchange: Navigate to the AppExchange marketplace.

Search for OmniStudio: Locate the OmniStudio package suitable for your Salesforce edition.

Install the Package: Follow the installation prompts, ensuring that all components are correctly deployed.

To model associated physicians in Health Cloud, Salesforce recommends using a combination of Healthcare Practitioner and Healthcare Provider objects. These objects are tailored to manage data related to healthcare professionals effectively.

Healthcare Practitioner:

Represents individual practitioners like doctors or specialists.

Tracks specific details, such as credentials, specialties, and associated organizations.

Ideal for modeling the clinic's associated physicians.

Healthcare Provider:

Represents the healthcare organizations or facilities with which the practitioners are associated.

Helps establish relationships between practitioners and the broader healthcare ecosystem.

Why Other Options Are Incorrect:

Contact: While Contacts can represent individuals, they lack the specialized fields and relationships provided by Healthcare Practitioner and Provider objects.

Person Account: Primarily used to represent patients, not physicians or healthcare entities.

Tracking socioeconomic and cultural barriers that could hinder a patient's progress requires Salesforce Health Cloud’s Social Determinants of Health (SDoH) capability.

Comprehensive Patient View:

Captures data on factors like income, education, housing, and transportation that influence health outcomes.

Risk Identification:

Identifies potential barriers and integrates them into care plans, enabling proactive intervention.

Care Coordination:

Helps care teams design support services and interventions tailored to individual patient needs.

B. Clinical Barriers: While useful, this focuses on clinical obstacles rather than broader socioeconomic factors.

C. Utilization Management: Centers on managing care authorizations, not patient barriers.

D. Care Blockers: Not a formal Health Cloud capability; overlaps conceptually with SDoH.

To efficiently track a series of problems, goals, and interventions (PGIs) in a repeatable way, Action Plan Templates in Health Cloud are the recommended approach. These templates allow care coordinators to define and automate tasks associated with PGIs.

Benefits of Action Plan Templates for PGIs:

Task Automation: Automatically generates a series of tasks for care coordinators based on predefined templates.

Customization: Templates can be tailored for different care scenarios or patient needs, ensuring consistency across cases.

Efficient Tracking: Allows care coordinators to monitor progress on PGIs and ensure timely interventions.

Why Other Options Are Incorrect:

A: Checklists are manual and lack the automation and repeatability provided by action plan templates.

B: Care program templates are used to define overarching care programs, not detailed PGI tracking.

D: PG libraries provide reusable PG definitions but do not automatically create tasks or track interventions.

To customize the Health Cloud enrollment process for Advanced Therapy Management, Flows are the recommended tool as they are declarative and leverage out-of-the-box functionality. Flows allow customization of the enrollment process without requiring custom code.

Key Features of Flows:

Declarative Customization: Enables the configuration of the enrollment process to match specific business workflows.

Integration with Care Programs: Automates enrollment steps, such as eligibility checks, consent capture, and assigning care programs.

Reusability: Configured flows can be reused or modified for other processes within the Health Cloud ecosystem.

Why Other Options Are Incorrect:

A. Apex Class: While possible, customization through code is less efficient and harder to maintain compared to Flows.

C. OmniScript: Ideal for dynamic user interactions but not required for standard enrollment customization.

D. FlexCard: Used for displaying information, not for managing enrollment processes.

To enhance the performance and scalability of the Provider Search feature in Salesforce Health Cloud, particularly for a pharmaceutical company aiming to assist patients in locating nearby infusion clinics, leveraging the Data Processing Engine (DPE) is essential.

Data Processing Engine (DPE):

The Data Processing Engine is a robust tool within Salesforce Health Cloud designed to efficiently handle and transform large datasets. In the context of Provider Search, DPE plays a pivotal role by:

Data Transformation: DPE processes and transforms provider data into a structured format, making it readily searchable. This transformation ensures that complex datasets are optimized for quick retrieval during user searches.

Performance Enhancement: By pre-processing and indexing provider information, DPE significantly reduces the time required to execute search queries. This leads to faster response times, enhancing user experience.

Scalability: DPE is designed to handle large volumes of data, ensuring that as the number of providers or clinics increases, the system maintains optimal performance without degradation.

Implementation Steps:

Enable Data Pipelines: Assign the Data Pipelines Base User permission set to the Health Cloud user responsible for enabling Provider Search. Then, activate Data Pipelines in the system settings.

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Configure Provider Search: After enabling Data Pipelines, set up the Provider Search feature by defining the necessary parameters and ensuring that the provider data is correctly mapped and transformed using DPE.

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Data Synchronization: Ensure that provider data is regularly synchronized and updated to reflect any changes, maintaining the accuracy and reliability of the search results.

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By integrating the Data Processing Engine into the Provider Search setup, the pharmaceutical company can offer patients a swift and reliable tool to locate nearby infusion clinics, thereby improving patient satisfaction and operational efficiency.

When an end user is unable to view certain data on the Enhanced Timeline for Contact Center during User Acceptance Testing (UAT), the primary step in troubleshooting should be to verify that the user possesses the appropriate object permissions.

Understanding Object Permissions:

Purpose: Object permissions determine a user's ability to create, read, edit, or delete records of a particular object within Salesforce.

Types of Permissions:

Read: Allows users to view records.

Create: Permits users to add new records.

Edit: Enables users to modify existing records.

Delete: Grants users the ability to remove records.

Troubleshooting Steps:

Verify User's Profile and Permission Sets:

Profiles: Check the user's assigned profile to ensure it includes the necessary object permissions for the data intended to be displayed on the Enhanced Timeline.

Permission Sets: Review any permission sets assigned to the user that might grant additional object permissions.

Ensure Field-Level Security:

Confirm that field-level security settings permit the user to access the specific fields associated with the timeline data.

Check Sharing Settings:

Assess the organization's sharing rules and settings to ensure the user has the requisite access to the records in question.