How Salesforce is Transforming Patient Data Interoperability

Salesforce is tackling one of the healthcare industry’s most pressing needs.

Its AI-powered "Agentforce for Healthcare" product suite aims to improve the interoperability of patient data and associated Electronic Health Records (EHRs).

The company’s shift into the health space dates back to 2015 when it released its proprietary Health Cloud product. Since then, Salesforce has made significant strides in developing health data solutions that unify patient-consented health information into a single source of truth.

In March 2026, the company announced the rollout of six new AI-powered agents, all of which are designed to reduce the administrative burden on healthcare workers and improve patient data harmonisation.

HIMSS Market Insights data indicates that two-thirds of healthcare organisations reported being in the early stages of AI adoption globally.

Patient data: The state of play

While almost all healthcare providers have successfully transitioned from paper filing to EHRs, issues surrounding siloed data, legacy IT systems and fragmented digital landscapes remain.

These shortfalls often result in healthcare providers having to tackle a complex web of standalone data systems, operated by distinct EHR vendors that are unable to communicate with one another. 

For medical institutions to establish a comprehensive patient profile, they need to securely integrate and respond to clinical information shared across various care providers and EHR vendors.

By maintaining the vital context inherent in this data, healthcare organisations can leverage interoperability to drive improved patient outcomes.

However, fewer than 40% of US healthcare providers report that they have embraced interoperability to a level that enables them to communicate and share patient health data with other organisations. 

How health providers are improving interoperability with Salesforce

Organisations are increasingly using Salesforce's Agentforce for Healthcare solutions to unlock data trapped across fragmented clinical systems. 

By creating a trusted, interoperable data foundation, providers can reduce the cost and complexity of point-to-point integrations while giving Salesforce’s AI agents access to a more complete patient record. 

The result is less administrative burden for clinicians and more time dedicated to delivering patient care.

“We’ve seen dramatic operational improvement – including a 459% ROI and US$1.5m in savings, alongside increased patient satisfaction and reduced administrative burden," says Dr Paramjit Chopra, CEO & Founder at MIMIT Health, which has been a long-term adopter of Salesforce’s health solutions.

Commenting on the release of Salesforce’s AI health agents, Amit Khanna, SVP & General Manager of Health at Salesforce, adds: “We cannot ask our healthcare heroes to operate in a system that is constantly failing them with fragmented data and soul-crushing administrative work.

“Salesforce is the only platform that makes every touchpoint in the patient journey feel like one continuous conversation – so clinicians can think less about systems and more about people.

“Our trusted AI agents, grounded in a purpose-built platform, are sharing the 24/7 administrative load, giving our customers their cognitive bandwidth back to accelerate approvals, improve outcomes and connect with patients at a speed that was impossible even a year ago.” 

Evolving regulation and emerging global health crises

Establishing interoperable clinical data systems is particularly urgent in today’s fast moving regulatory landscape and amid recurring global health crises.

In the US, past government intervention has accelerated interoperability's emergence into mainstream healthcare.

In 2016, the 21st Century Cures Act enforced the free transfer of digital health data and prohibited information blocking,

Meanwhile, in 2018, the White House's MyHealthEData Initiative and CMS's Promoting Interoperability Program encouraged providers to adopt interoperable technologies and improve the secure exchange of electronic health information. 

In tandem with this, increasingly frequent global health emergencies – such as recent Monkeypox, Ebola and Hantavirus outbreaks, alongside the COVID-19 crisis – have highlighted the urgent need to create interoperable health data systems and exposed the limitations of fragmented data systems.