information technology
Integration, Interoperability, and
the Future of Healthcare
Unlocking clinical data will drive improved patient outcomes.
If there’s ever been a time for ensuring providers have access to the most accurate,
connected data, it’s now. Yes, we have successfully moved from paper filing systems to
electronic health records (EHRs) over the past decade. And that’s great. But the COVID-19
pandemic has shown that’s not enough. Now, more than ever, we need a complete view of
the patient to safely deliver care and promote the health of the population. How do we get
there? The industry seems to have come to a consensus on the answer: through
interoperable systems.
It wasn’t long ago we were shifting from paper to digital. Our ambitions grew as healthcare
reached for a complete view of the patient, no matter where the data resided. Despite many
incentives, data sharing advanced slowly. So, the U.S. Congress got on it, with the 21st
Century Cures Act and its open APIs “Without Special Effort.” The White House and CMS
got on it, with incentive programs and the MyHealthEData Initiative. And standards
organizations and collaborations got all over it. Salesforce is a vital part of this effort,
working diligently to move closer to a 360-degree view of the patient and to foster
a healthcare system that can attend to patient needs in real time — especially during a
crisis like the coronavirus pandemic. Interoperability is the brass ring in achieving these
goals.
Competitive and cost pressures are pushing us harder than ever toward an interoperability
model. We see this come to life in the spate of recent mega-deals, including: CVS buying
Aetna in 2018, GM Motors contracting with Henry Ford Health Systems to launch direct-to-
employer healthcare, and companies like Amazon, Berkshire, and JP Morgan teaming up to
tackle employee health. When those kinds of companies come together, so do their
systems, creating an opportunity to gain insight from rapid aggregation. This all can lead
more quickly to new strategies, products, and services. It also can lead to an invaluable
source of truth for patient data — all of which will improve trust between providers and
patients, and, ultimately, healthcare outcomes.
The initial phase of going digital helped create the EHR system. Now we aim to go beyond
EHR and toward API-enabled, interoperable systems. Technology has advanced so much
in the past decade; our toolkit is so much more robust, with blockchain, advanced analytics,
and, of course, CRM. They are not, however, all neatly packaged in the EHR.
At Salesforce, we see so many factors speeding us toward interoperability: the rise of value-
based care and regulatory disruption, the accelerated creation of industry data and
services, as well as the need to access modern digital capabilities. It’s all exciting but it will
take time before interoperability becomes routine and patients can reasonably expect a
consumer experience that is as convenient as ordering dinner online or getting served
entertainment that understands their tastes. It also doesn’t feel all that far away. In this
guide, we explore the need for interoperability in our healthcare system, the roadblocks
preventing it from thriving, the interim steps we need to take, and the role of integration.
Then we introduce you to industry pioneers who are paving the way for truly connected
healthcare.
• Chapter 1: What Is Interoperability?
• Chapter 2: Salesforce’s Approach to Integrated Solutions
• Chapter 3: Leveraging APIs to Drive Interoperable Systems
Chapter 1: What Is Interoperability?
The U.S. healthcare system is a vast web of systems, applications, and data. The majority
of hospitals and private practices have implemented an EHR of some kind, which is helpful,
but most of these systems are completely separate from each other, muddying the view of
each patient’s health, and hampering care coordination and improved population health.
These shortcomings result from three challenges:
1. Siloed patient data across clinical and nonclinical systems. This creates fragmented
experiences and missed opportunities for preventative and total health. Yet, many IT
decision makers are still at a loss on how to connect the data. Accenture reports that in the
fall of 2019, one in six (17%) healthcare executives were “completely unaware” of new
legislation coming out in March 2020 that would require greater patient access to and
sharing of healthcare records.
2. Legacy health IT proving incompatible with modern engagement technology. This delays
efforts for digital transformation. In fact, 64% of IT leaders cite legacy infrastructure,
processes, and tools as a top barrier to transformation.
3. System connections that are driven by point needs for data. This results in a growing
inventory of point-to-point integrations that are costly to maintain and don’t scale well
enterprise wide. And with 75% of U.S. hospitals managing more than 10 EHRs, maintaining
these connections becomes exponentially cumbersome.
To truly achieve a complete view of the patient, healthcare organizations must be able to
seamlessly connect with and act on data collected by the patients’ overall care team across
multiple providers. And they must be able to preserve all the context that comes with the
data. This is where interoperability shines.
Interoperability takes systems integration to the next level. As it matures, interoperability can
use integrated connections to drive meaning across systems by giving context to the data. It
does this by enabling information systems, devices, and applications to access, exchange,
integrate, and cooperatively use data in a coordinated way within and across organizational,
regional, and national boundaries.
Integration connects disparate systems but may not carry the context of the information it
brings together. It performs a vital function, orchestrating multiple interfaces that support
process automation. It also brings together component subsystems into one system,
ensuring that they function together as a unit. Integration is the foundation for
interoperability.
While many systems integrate, the data they share frequently lacks context. By contrast
interoperable systems can talk to each other in the same language — preserving meaning,
without the added complexity or delay. Interoperability allows computer systems to transmit
data with increasing sophistication across four key levels. As outlined by the Healthcare
Information and Management Systems Society (HIMSS), these four levels are:
1. Foundational. Establishes the interconnectivity requirements needed to securely
communicate data to and from another.
2. Structural. Defines the format, syntax, and organization of data exchange, including at the
data field level for interpretation.
3. Semantic. Allows for common underlying models and codification of the data, providing
shared understanding and meaning to the user.
4. Organizational (new). Includes governance, policy, social, legal, and organizational
considerations to facilitate the secure, seamless, and timely communication and use of
data, both within and between organizations.
Interoperability is the ultimate goal. But healthcare won’t reach it until the entire healthcare
IT ecosystem can seamlessly connect and transmit all clinical and nonclinical information
necessary to drive the most well-informed, best possible outcome for each patient. Until
then integration will continue to evolve to a higher level as it aims for meaningful
interoperability.