Transforming Patient Care Coordination with Salesforce Health Cloud

The provider network was facing:

• ❌ Patient care coordination tracked across disconnected spreadsheets and phone calls between care teams
• ❌ No shared view of a patient's care plan across primary care, specialists, and care management staff
• ❌ Clinical data living in a separate EHR system with no connection to care coordination workflows
• ❌ Care managers unable to see which patients were genuinely at risk of falling through the cracks between appointments
• ❌ No systematic tracking of social determinants of health despite their real impact on patient outcomes
• ❌ Compliance and audit readiness dependent on manually assembling documentation scattered across multiple systems
• ❌ Care team members discovering care gaps only after a missed appointment or a hospital readmission had already occurred
• ❌ New care managers facing a steep, undocumented learning curve for how coordination actually worked in practice

Network leadership recognized that fragmented coordination wasn't just an operational inefficiency -- it was directly affecting patient outcomes and the network's ability to demonstrate value under increasingly outcomes-based reimbursement models. Care teams were doing genuinely dedicated work, but the tools underneath them weren't built to support the kind of proactive, whole-person coordination the network's care philosophy called for. Quality committee reviews kept surfacing the same root cause behind avoidable readmissions and missed follow-ups: not a failure of clinical judgment, but a genuine lack of shared visibility across the people responsible for a given patient's care.

We designed and implemented a Salesforce Health Cloud care coordination platform, built to give every member of a patient's care team a shared, trustworthy view of that patient's full situation:

🏥 1. Unified Care Plan & Care Team Model

• Configured Care Plan and Care Team Member objects reflecting how the network's care teams actually coordinate on a day-to-day basis
• Gave every involved provider -- primary care, specialists, care management -- a shared, real-time view of patient goals and interventions
• Replaced phone-tag and spreadsheet-based coordination with a single system of record for care activities

🔗 2. EHR Integration

• Connected the existing EHR system via HL7/FHIR-based integration
• Pulled relevant clinical data automatically into patient records rather than requiring manual entry from a separate system
• Carefully scoped exactly which clinical data categories flowed into Health Cloud, based on genuine care coordination need

🎯 3. Risk Identification & Proactive Outreach

• Built risk-scoring logic surfacing patients showing signs of care gaps or missed follow-up
• Automated care manager alerts for patients approaching a genuine risk threshold
• Shifted care management from reactive (responding to a crisis) to proactive (intervening before one occurred)

🏠 4. Social Determinants of Health Tracking

• Added structured tracking for non-clinical factors -- housing stability, food security, transportation access
• Connected these factors visibly alongside clinical data in the same care plan view
• Enabled care teams to address whole-person barriers to care, not just clinical symptoms in isolation

🔒 5. Compliance & Access Governance

• Implemented Salesforce Shield for platform encryption on sensitive patient fields
• Extended field history tracking to meet the network's audit retention requirements
• Built role-based access controls ensuring staff saw only the patient data genuinely relevant to their role
• Documented access policies clearly enough to support examination readiness at any point, not just at scheduled audit time

Compliance and governance work ran in parallel with the care coordination build, not as a final step before launch. This mattered because retrofitting access controls and encryption onto an already-built data model is considerably more disruptive than designing with those requirements in mind from the start. The network's compliance and IT security teams were involved in data model design discussions from the earliest planning sessions, ensuring the care coordination capability and the compliance posture were built together as one coherent system, rather than compliance being treated as a separate concern layered on afterward.

Within six months of implementation:

• 👥 Care Teams Reporting a Genuinely Unified View of Every Coordinated Patient
• ✅ Proactive Outreach Replacing Reactive Crisis Response for At-Risk Patients
• 🔗 Clinical Data Flowing Automatically from EHR, Eliminating Manual Re-Entry
• 📊 Social Determinants Data Now Systematically Tracked, Not Anecdotal
• ⏳ Audit Documentation Requests Answered in Hours, Not Days

What Made the Difference

• A care plan model reflecting how care teams genuinely coordinate, not a generic CRM adaptation
• EHR integration carefully scoped to genuine care coordination need, not a wholesale clinical data dump
• Risk identification enabling proactive intervention instead of purely reactive care management
• Compliance built into the platform from the start, not retrofitted after go-live

A Closer Look: From Reactive to Proactive Care Management

Before this engagement, care managers typically learned about a patient's declining status only when a crisis had already occurred -- a missed medication refill leading to a hospital readmission, a housing instability issue surfacing only after a patient stopped showing up for appointments entirely. The risk-scoring and proactive alerting capability changed this fundamentally: care managers could now see early warning signals -- a missed follow-up, a gap in expected care plan activity -- and intervene while the situation was still manageable, rather than after it had escalated into a genuine crisis. This shift from reactive to proactive care coordination is widely understood in healthcare to improve both patient outcomes and cost of care, but achieving it in practice depends entirely on having the underlying data and workflow infrastructure to actually support it.

Balancing Clinical Data Access With Genuine Compliance Requirements

Healthcare data carries real regulatory weight, and the temptation in any care coordination platform is to simply connect everything for maximum visibility. The network's compliance team was involved from the earliest planning stages specifically to avoid this trap -- carefully scoping which clinical data categories genuinely needed to flow into Health Cloud for care coordination purposes, rather than defaulting to a comprehensive EHR mirror that would have created unnecessary compliance exposure. Combined with Shield's platform encryption and appropriately scoped role-based access, this deliberate, disciplined approach meant the platform could support genuinely proactive care coordination without expanding the network's compliance risk surface beyond what the actual care coordination use case required.

Why Social Determinants Tracking Wasn't an Afterthought

A significant share of patient outcomes are shaped by factors that never appear in clinical charts -- housing instability, unreliable transportation to appointments, food insecurity affecting medication adherence. Before this engagement, care teams were aware of these factors anecdotally, through individual conversations, but had no systematic way to track them or connect them to care planning. Building structured fields for social determinants directly into the same care plan view clinical data lived in meant care teams could finally see the whole picture in one place -- recognizing, for instance, that a patient repeatedly missing follow-up appointments had a documented transportation barrier, rather than assuming non-compliance. This reframing, from a purely clinical lens to a genuinely whole-person view, directly informed how care managers prioritized and structured their outreach.

Onboarding New Care Managers on a Documented System

Before this engagement, a new care manager joining the network faced a genuinely difficult onboarding process -- learning not just clinical protocols, but an undocumented, informal system of spreadsheets and phone-based coordination that varied depending on which senior staff member happened to train them. With care coordination now living in a single, consistently structured Health Cloud implementation, new care managers could be trained on an actual documented system rather than absorbing tribal knowledge through months of shadowing. Network leadership specifically cited faster new-hire ramp-up time as an unplanned but genuinely valuable outcome of the broader platform investment.

Earning Genuine Adoption from Clinical Staff

A well-designed care coordination platform can still fail if the clinical staff who need to use it daily don't trust it or find it genuinely easier than their existing workarounds. Recognizing this, the implementation process deliberately involved practicing care managers and clinicians -- not just IT and administrative stakeholders -- in shaping how care plans and risk alerts were structured, rather than designing the system in isolation and presenting it as a finished mandate. This mattered concretely: an early draft of the risk-scoring logic flagged patients based primarily on appointment gaps alone, which frontline care managers correctly identified as producing too many false positives and diluting attention from genuinely urgent cases. Incorporating their clinical judgment into refining the scoring criteria before launch meant the system reflected real care expertise, not just a generic data model -- and adoption among care teams was correspondingly strong from day one, rather than facing the resistance a top-down, clinically-uninformed system often encounters.

This early involvement paid dividends well beyond the initial rollout. Because care managers had genuinely shaped the risk-scoring criteria rather than simply receiving it, they trusted the alerts enough to act on them consistently -- a critical factor, since a proactive care coordination system only delivers value if staff actually follow through on what it surfaces. Network leadership specifically noted that this trust, built through genuine early collaboration rather than a top-down rollout, was a meaningful factor in how quickly the platform moved from a new tool to a genuinely embedded part of daily care coordination practice, with usage remaining consistently high well past the initial post-launch period.