Building healthcare data products is challenging due to disparate systems and data hierarchies that are common across various healthcare disciplines. While there are industry data standards, the reality is they only provide broad interchange definitions. Data models are not standardized and require a massive effort to derive value.
phData brings together a proven architecture, scalable solutions, and industry expertise to repeatedly help healthcare providers extract more value from their data.
Put our years of experience processing healthcare data at scale to the test. No matter the format, phData can optimize the ingestion, transformation, and curation of your data. Our proven approach allows for custom data flows to be standardized and operationalized.
Determining the proper machine learning models that apply to problem domains can be challenging in healthcare due to the need to provide verifiability of the outcomes. The phData MLOps team will ensure that all components of your machine learning process are versioned and recreatable.
We’ve developed our approach with the most advanced data and analytics platforms and best practices in mind. Having helped deploy thousands of data product use cases, rest assured that proper governance is built into the metadata-driven development process, assuring HIPAA, HITRUST, and GDPR compliance.
We don’t just build data products, we ensure that you feel supported in maintaining them after the project ends. We work to foster a culture around data that will enable you to continuously drive value from your data.
Get the right data to the right people at the right time. phData helps you enable healthcare data sharing to your services vendors with permissions and governance baked in.
Our teams have experience in datasets and terminology across a broad range of payer, provider, and research domains, including HL7, FHIR, OMOP, as well as EDI and claims data models.
phData has deep experience and expertise in Alteryx, KNIME, Tableau Prep, Power Platform, Matillion, Tableau CRM, DBT, Python, and R.
Because of the breadth of capabilities analytics projects can enable, no two projects are alike. Pilots or POC projects can start as low as $20,000 – $30,000. That price will vary based on the complexity of the use case.
We’ll meet you where you are on your data and analytics journey. With expertise across the entire data and analytics lifecycle—from strategy to implementation—our teams can help you make sense of your data and use it to solve healthcare’s most complex business data and analytics problems.
HL7 messages contain a trove of value-driving insights but very few healthcare organizations have the capabilities to realize this potential. phData helps by transforming HL7 messages from lines of text to valuable insights.
Bring a new level of visibility to your utilization, operations, and wait times across departments, nursing units, and call centers. With resources at a premium, phData will help you save time by creating dashboards to spot trends before they adversely affect operations.
phData will help your business save (and make) money by leveraging data to maximize margins in an ever-evolving landscape. Our approach will help you stay ahead of changes to reimbursement models and achieve quality objectives.
The power of data engineering is empowering clinicians like never before by advising them of adverse alerts at the bedside, making medicine individualized, and using genetic sequencing to inform the care patients receive. phData will help your organization wield the power of data to save lives.
In this blog, learn what HL7 data is, and how pairing it with the Snowflake Data Cloud is a method for a successful, data-driven future in healthcare.
Gather pertinent information about how key performance indicators are performing across centers with the help of this Tableau dashboard example.
Learn how phData helped NextGen migrate their data to Snowflake, build a custom software solution, and enabled analytics and reporting for their customers.
Discover how phData can build the right data asset for you.
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