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How Is Salesforce a Catalyst for the Consumerization of Healthcare? The Magic Formula is CRM + EMR

By JESSICA DaMASSA, WTF HEALTH

How is Salesforce thinking about the healthcare consumer? I had the chance to ask Salesforce’s SVP & GM of Health & Life Sciences, Amit Khanna, about it from both a product — and a lexicon – standpoint at Dreamforce 2022.

Words matter. So, Salesforce’s use of “customer” when talking about our usual “patients” or “health plan members” or “clinical trial participants” is a bit jarring at first, in the sense that it forces the issue of “patient centricity” to the extreme… to a “customer is always right” place, at least for me. I ask Amit about that terminology, its intentionality, and how he thinks his clients across the healthcare ecosystem are doing when it comes to embracing this new term and the new way of thinking it requires in order to truly activate it.

On the product side, we dive into Salesforce’s BIG launch this year: Salesforce Genie. This is cool in the Health & Life Sciences biz for a number of reasons, mostly because it is the manifestation of that consumerization idea. Real time data, a holistic “customer profile” (aka longitudinal patient record) – these are the things that consumers are used to across industries, says Amit, and the new product release focuses on integrating these for payers, providers, med tech companies, pharma and more. How could these features drive change in the healthcare ecosystem? Amit gives a glimpse of what Salesforce thinks is the ‘big win,’ specifically when it comes to that “wholistic customer profile” and the idea that an EMR and CRM can co-exist to serve different purposes in healthcare.

Freeing the Data

I’m keynoting this year’s Intersystems Global Conference on the topic of “Freeing the Data” from the transactional systems we use today such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM),  Electronic Health Records (EHR), etc.  As I’ve prepared my speech,  I’ve given a lot of thought to the evolving data needs we have in our enterprises.

In healthcare and in many other industries, it’s increasingly common for users to ask IT for tools and resources to look beyond the data we enter during the course of our daily work.   For one patient, I know the diagnosis, but what treatments were given to the last 1000 similar patients.  I know the sales today, but how do they vary over the week, the month, and the year?   Can I predict future resource needs before they happen?

In the past, such analysis typically relied on structured data, exported from transactional systems into data marts using Extract/Transform/Load (ETL) utilities, followed by analysis with Online Analytical Processing (OLAP) or Business Intelligence (BI) tools.

In a world filled with highly scalable web search engines,  increasingly capable natural language processing technologies, and practical examples of artificial intelligence/pattern recognition (think of IBM’s Jeopardy-savvy Watson as a sophisticated data mining tool), there are novel approaches to freeing the data that go beyond a single database with pre-defined hypercube rollups.   Here are my top 10 trends to watch as we increasingly free data from transactional systems.Continue reading…