[ [ Healthcare · 5 months · 4 engineers ] ]

Scalable Data Platform for a Healthcare Provider

Data EngineeringCloud Infrastructure

Healthcare

Overview

A regional healthcare network with 15 hospitals and 200+ clinics needed to unify patient data across disparate systems to improve care coordination and enable predictive health analytics.

The Challenge

Patient data was siloed across multiple legacy EHR systems, making it impossible to get a unified view of patient history. Data quality issues led to duplicate records, and clinicians lacked the tools to identify at-risk patients proactively.

The Solution

DHDTech.io provided a team of three data engineers and one cloud architect who built a HIPAA-compliant data lakehouse on GCP. The platform ingests data from all EHR systems via HL7 FHIR interfaces, performs entity resolution to deduplicate patient records, and powers a suite of predictive dashboards for clinical staff. A readmission risk model was deployed to flag high-risk patients at discharge.

Technologies We Use

PythonApache SparkGoogle BigQuerydbtLookerTerraform

Results

[ HOSPITAL SYSTEMS UNIFIED ]
15
[ PATIENT RECORD MATCH ACCURACY ]
98.5%
[ REDUCTION IN 30-DAY READMISSIONS ]
30%
[ TIME TO FIRST DASHBOARD DEPLOYMENT ]
4 weeks

For the first time, our clinicians have a complete picture of every patient. The readmission model alone has saved countless lives and millions in costs.
— Chief Medical Information Officer, Regional Healthcare Network