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GPTfy - Salesforce Native AI Platform

Every Patient. Complete Context.

GPTfy synthesizes Health Cloud case history into a patient 360 view — conditions, open questions, prior commitments, and sentiment — with PII anonymized before AI.

Care coordinators who inherit cases, handle reassignments, or work from a shared queue cannot afford to read through every case email before they engage a patient. GPTfy synthesizes Health Cloud case history into a complete patient 360 view — covering conditions, open questions, coverage discussions, and patient sentiment — so teams arrive at every interaction fully prepared.

What this demo covers

Full Patient Context Synthesis

  • AI reads all case messages and returns a unified summary of the patient's situation.
  • Conditions, coverage questions, prior commitments, and open threads are surfaced together.

Sentiment and Disposition

  • The 360 view includes a reading of the patient's overall tone across the conversation.
  • Care staff know whether the patient is engaged, frustrated, or waiting before they reach out.

PII Anonymization Before AI

  • Patient identifiers are stripped from case content before it leaves Salesforce.
  • Raw data stays in your org; only sanitized history reaches the AI provider.

Case Handoff Ready

  • The 360 view is ideal for cases being transferred between care coordinators.
  • New handlers are fully briefed in seconds — no risk of missing critical context.

Use this video when

A care coordinator picks up a reassigned case and needs full patient context before calling

A team member pulls a case from a shared queue and uses the 360 view as a pre-call briefing

A care manager reviews the patient situation before a care plan review meeting

A supervisor checks multiple 360 summaries to triage cases by complexity and patient disposition

A coordinator uses the 360 view as the foundation for drafting a personalized patient email

A new team member onboards to an existing patient caseload and uses AI summaries to build familiarity quickly

Frequently asked questions

A patient 360 view is a single, synthesized snapshot of everything relevant about a patient's current situation — their conditions, open questions, prior interactions, coverage concerns, and emotional disposition. Without it, care teams must piece together context from multiple case comments, emails, and records before every interaction. GPTfy generates this view automatically from Health Cloud case history, so coordinators arrive at every patient interaction fully prepared.

GPTfy reads all case comments and email history on the Health Cloud case, then synthesizes a summary that covers the patient's stated conditions, the coverage questions they have raised, the status of any prior conversations or commitments, and the patient's overall disposition based on the interaction history. This gives the care team full context without reading every message.

A standard case summary tells you what happened. A patient 360 view tells you who this patient is, what they need right now, and how they are feeling about their care journey. GPTfy's 360 prompt is designed to surface the full relational context — conditions, open threads, lifestyle considerations, and patient sentiment — giving care staff the kind of context they would have if they had been on the case from the beginning.

Yes. GPTfy anonymizes personally identifiable information from case content before any data leaves Salesforce. Patient names, contact details, and health identifiers are stripped within the org before the sanitized case history is sent to the AI provider. Raw data stays in your Health Cloud environment.

The 360 view is most valuable when a care team member is handling a case for the first time — such as after a handoff, reassignment, or when picking up an open case from a queue. It is also useful before scheduled patient calls or care plan reviews, where arriving without full context risks a poor patient experience.

Yes. The 360 view provides the context layer that makes AI-generated patient communications accurate and relevant. Once a care coordinator has the 360 summary in view, they can run a follow-up email or response prompt that draws on that same case context — producing communications that reflect the patient's actual situation rather than a generic template.

Ready to see this in your Salesforce org?

Book a 45-minute session and we'll walk through this use case using your own data.

Video transcript
So we're working on a support team for health insurance. You'll often be in contact with patients who have questions about your coverage options. In this case, Charles Green is inquiring about potential care plans that can cover his diabetes and pulmonary disease via email. This conversation is a few emails deep already. He's now asking about additional lifestyle choices to accompany his care plan — and if there's anything we can do from our end to support that. Without a complete picture of the patient's situation, care staff are forced to read through every email in sequence before they can respond with confidence. This takes time and creates risk — especially when a case is handed off or reassigned, and the new coordinator has no prior context. What AI can do is look at all these case comments and synthesize a complete 360 view of the patient's situation. It reads the conditions, the coverage questions raised, the status of prior commitments, and the patient's overall tone across the conversation — giving the care team everything they need in one place. So we're going to select the Patient 360 prompt and run GPTfy. It's going to take the information on this case, anonymize it, then send it over to AI. And now we have a comprehensive view of this patient's situation — their conditions, their open questions, the context of prior exchanges, and where things stand. The care team can use this as a briefing before any patient interaction, whether that's a call, an email response, or a care plan review. This is just one of many ways you can cut down on the time spent piecing together patient context in Health Cloud, so that you can spend more time actually supporting the patient.

Last updated: February 2026