Snowflake Healthcare | Patient Care 360 | Kanini

Every provider strives to understand their customers’ problems as well as they can in order to help them as best as they can, however achieving that at scale can be tricky. Especially if all the data you’ve collected about your patients/customers are not enabling you efficiently.

For Healthcare providers, when we consider the growth in volume of patients over the last couple years and the general awareness this pandemic has instilled in us globally, every provider understands that patient experience can make or break the system completely.

Most of the healthcare systems, though they serve 1000s of patients worldwide and 100s in-person every week, the patient facing staffs alone get to interact and see the patients as an individual with a holistic personality. The systems however only works based on ‘medical assets’ and ‘patient records’ from EHR/EMR systems. They may be rich in data yet, disparate and unstructured to provide a bigger picture and a better understanding of every patient.

It is now a practical application to engineer all that data from their siloed systems and create an integrated “Single view of patient” across all departments so the patients experience a singular consistently well informed system when they interface with your hospital and staffs.

Here’s an infographic of how that can be achieved and how our “John” here  in this story was able to decide why he decides against switching his healthcare provider.

Author

Anand Subramaniam

Anand Subramaniam leads Data Analytics & AI practice at Kanini and is passionate about the data science domain and has championed data analytics practices across startups to Enterprises in various verticals. He is a thought leader, start-up mentor, and data architect. He brings forth over 2 decades of techno-functional leadership in envisaging, planning, and building high-performance state-of-the-art technology teams.

Author

Anand Subramaniam

Anand Subramaniam leads Data Practice at Kanini and is passionate about the data science domain and has championed data analytics practices across startups to Enterprises in various verticals. He is a thought leader, start-up mentor, and data architect. He brings forth over 2 decades of techno-functional leadership in envisaging, planning, and building high-performance state-of-the-art technology teams.

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