Salesforce Health Cloud

Whether it’s with patients, members, employees, or partners, we help you connect, engage, and gain a holistic 360-degree view of your interactions
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Deliver Quick and Efficient Healthcare Services with AppShark

AppShark’s expertise in Health Cloud provides you with a comprehensive and centralized view of all your patients and members. This enables you to understand patient profiles distinctly, track their progress and swiftly provide the necessary care plans. We also assist in integrating with EHR systems, adding reliability to your organization by ensuring access to the right information at the right time. This transforms your extensive records into a systematic approach to engagement.

Learn how we can help you implement Salesforce Health Cloud for your personalized healthcare services.

A typical Salesforce Health Cloud implementation includes the following attributes

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Install the Health Cloud managed package from Salesforce AppExchange, ensuring all necessary components, objects, and features are included.
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Enable Health Cloud features in Salesforce Setup by navigating to Setup > Health Cloud and activating the necessary settings.
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Set up standard and custom objects for Health Cloud, such as Patients (Person Accounts), Care Plans, Problems, and Medications, by configuring field-level security, page layouts, and record types.
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Enable Person Accounts in Salesforce Setup to represent patients by following the instructions in Setup > Person Accounts.
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Set up relationships and affiliations to  define how patients are related to providers, caregivers, and other contacts using the Relationships and Affiliations objects.
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Configure Care Plans and Pathways by creating templates and defining pathways for patient care planswithin the Care Plans and Pathways objects.
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Integrate with Electronic Health Records (EHR) systems to ensure seamless data exchange between Salesforce Health Cloud and EHR systems using APIs or middle ware solutions.
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Set up the Patient Timeline to provide a chronological view of patient interactions and events by configuring the necessary settings in Setup> Health Cloud > Patient Timeline Settings.
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Enable and configure the clinical data model to support clinical data management, including conditions, medications, and procedures, in Setup > Health Cloud > Clinical Data Model.
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Customize the Health Cloud Console to suit the workflows of healthcare providers by adding relevant tabs and components in Setup > App Manager.
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Ensure compliance with healthcare regulations by setting up data privacy and security settings in Setup > Security, configuring data protection and access control settings to comply with regulations like HIPAA.
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Train users and ensure adoption by providing training sessions and resources to healthcare providers and staff, developing training materials, conducting workshops, and offering ongoing support.
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Monitor system performance and optimize configurations regularly by reviewing system usage and performance and making necessary adjustments using Salesforce reports and dashboards.
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Integrate Salesforce Einstein Analytics to leverage AI-driven insights for predicting patient outcomes, resource allocation, and optimizing care plans.
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Enable Einstein Vision to analyze medical  images and integrate AI-driven diagnostics into patient records.
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Use Einstein Bots to provide automated patient engagement and support, enhancing communication and responsiveness through chat interfaces.
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Configure Einstein Prediction Builder to create custom predictive models for health outcomes, such as risk of readmission or likelihood of appointment no-shows.
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Set up and train Einstein Discovery to analyze patient data and uncover actionable insights for improving patient care and operational efficiency.
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Incorporate natural language processing (NLP) with Einstein Language to analyze patient feedbackand sentiment, enabling more personalized care.


Additional Considerations:

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Plan and execute data migration from legacy systems to Salesforce Health Cloud.
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Consider custom development for specific requirements using Apex, Lightning Components, and Visualforce.

AI-Powered Salesforce Health Cloud Insights:

Welcome a conversational AI to your organization for a seamless workflow, improved decision-making, and optimized productivity with Einstein.

Einstein Analytics for Health Cloud:

Utilize Salesforce Einstein Analytics to analyze patient data, identify trends, and predict health outcomes, enabling the prediction of patient readmissions, identification of at-risk patients, and optimization of resource allocation based on data-driven insights.

Einstein Prediction Builder:

Build custom predictive models tailored to healthcare needs, such as predicting patient no-shows or identifying high-risk patients, to improve patient engagement and care coordination by predicting and mitigating potential issues.

Einstein Discovery:

Use Einstein Discovery to analyze patient data and uncover actionable insights for improving patient care and operational efficiency, providing treatment plan recommendations, identifying gaps in care, and optimizing clinical workflows.

Einstein Vision:

Integrate Einstein Vision to analyze medical images and diagnostics, providing AI-driven insights into patient records to enhance diagnostic accuracy, support telemedicine initiatives, and enable remote monitoring.

Einstein Bots:

Implement Einstein Bots to offer automated patient engagement and support through chat interfaces, thereby enhancing patient communication, providing round-the-clock assistance, and alleviating the workload on healthcare staff.

Einstein Language:

Utilize natural language processing (NLP) with Einstein Language to analyze patient feedback and sentiment, enhancing patient satisfaction through understanding and addressing patient concerns, thus improving personalized care.

Einstein Next Best Action:

Utilize Einstein Next Best Action to offer personalized care recommendations based on patient data and predictive analytics, thereby enhancing patient outcomes through tailored treatment plans and proactive care suggestions.

AI-Driven Appointment Scheduling:

Leverage AI to optimize appointment scheduling, ensuring efficient use of healthcare resources and reducing wait times, thereby enhancing patient experience, improving clinic efficiency, and increasing appointment adherence.

Predictive Maintenance for Medical Equipment:

Utilize AI to predict maintenance needs for medical equipment, ensuring timely repairs and minimizing downtime, thus maintaining high equipment availability, reducing operational disruptions, and enhancing patient care quality.

Remote Patient Monitoring:

Implement AI-driven remote patient monitoring to track patient health metrics in real-time and alert providers to potential issues, thereby enhancing chronic disease management, enabling proactive interventions, and improving patient outcomes.