AI, at its core, is a learning machine. It thrives on data, but not just any data. High-quality data is the fuel that powers accurate and reliable AI models. The solution lies in a fundamental shift in mindset. Before diving headfirst into AI, organizations must prioritize data preparedness. This goes beyond simply cleaning existing data; it also means embracing the immense potential of unstructured data, a hidden treasure trove waiting to be unlocked. Sounds interesting? Join us at Bytes and Brews as we delve into the importance of prioritizing unstructured data in enterprise AI development and strategies that can help them enhance data quality, take control of their data landscape, and unlock the true potential of AI—one that's ethical and transparent.

The Drowning In Data, Thirsting For Insights Paradox In The Age Of AI – What’s The Solution

E29: Data Quality in Healthcare Series 1 of 5

It’s time to take a closer look at healthcare data quality. This episode is the beginning of a series related to the challenges that all healthcare professionals face in gathering, organizing, and using patient data. Join the conversation as host Charlie Harp shares how we got to this place as an industry and a solution for measuring the quality of patient information. Listen in to learn about the Patient Information Quality Improvement (PIQI) framework and how it can be used to help healthcare professionals make better informed decisions.

Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

 Informonster Podcast

Informonster Podcast: Data Quality in Healthcare

E30: Inside the Patient Information Quality Improvement (PIQI) Framework - Data Quality in Healthcare Series 2 of 5

When looking for a practical way to assess the quality of patient information from external sources, Charlie Harp found that existing frameworks were either too general or too specific to certain databases or schemas. So, he created the Patient Information Quality Improvement (PIQI) framework. In the second episode of the “Data Quality in Healthcare” series, Charlie gives a high-level overview of the PIQI framework and shares some use cases for this structure. Tune in as he shares the ultimate goal for the framework which is to enhance the quality of patient information to provide better outcomes and care across the healthcare industry.

Informonster Podcast: Inside the Patient Information Quality Improvement (PIQI) Framework

E31: Decoding the PIQI Framework - Data Quality in Healthcare Series 3 of 5

Tune in as Charlie Harp unveils the rationale behind the Patient Information Quality Improvement’s (PIQI) streamlined data model, and explains how it turns complex patient information into an organized format for analysis. The next episode will cover the taxonomy that was used in the PIQI framework to identify the root causes of data issues and provide recommendations for improvement.

Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

Informonster Podcast: Decoding the PIQI Framework

E32: Building the PIQI Taxonomy - Data Quality in Healthcare Series 4 of 5

On part 4 of the Data Quality in Healthcare series, Charlie Harp explores the taxonomy of the PIQI Framework. He breaks down the primary categories of 1.) Delivery and 2.) Intrinsic Issues, and shows how the subcategories a.) availability b.) accuracy c.) conformity and d.) plausibility are used to analyze and address data quality challenges.

Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

Informonster Podcast: Building the PIQI Taxonomy

E33: How PIQI Measures and Assesses Data - Data Quality in Healthcare Series 5 of 5

On this final episode of the Data Quality in Healthcare – PIQI Framework series, host Charlie Harp guides you through the intricacies of SAMs which are specialized tests designed to evaluate the quality of your data entities for specific use cases. Discover how these plug-and-play modules can seamlessly integrate into evaluation profiles, allowing you to assess your data against a battery of relevant criteria. Charlie also explains the concept of evaluation profiles, which establishes a comprehensive framework for measuring and assessing your information entities. You’ll learn how these profiles produce quality scores and provide detailed statistics, empowering you to make informed decisions based on reliable data.

Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

Informonster Podcast: How PIQI Measures and Assesses Data

Deep dive into data stewardship and what it means to be a data steward. Comprehensive overview of skills, capabilities and opportunities for data stewards.

Data Stewardship by Datagovernancecoach.com

Data Quality strategy, Data Quality Metrics, Data Quality Framework
datagovernancecoach.com

Building A Data Quality Management Framework

TL;DR: Claims reserves are frequently inaccurate - not because actuarial models are flawed, but because the data feeding them is. Legacy systems, unstructured information, and inconsistent coding create compounding errors that destabilise financials, increase regulatory risk, and erode strategic decision-making. To fix reserves, insurers must fix their data - modernising infrastructure, enforcing data lineage, and embracing metadata-driven intelligence.
The cost of inaction isn’t just inefficiency - it’s billions in misallocated capital and lost credibility

The Billion-Dollar Blind Spot : Bad Data Skews Claims Reserves

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Healthcare NOW Radio and Podcast Network offers discussions on the latest developments and trends impacting the industry including: health tech, health IT, healthcare innovation, healthcare policy, healthcare data security, telehealth, interoperability, biotech, med tech, value-based care, pharma, healthcare compliance, and much more. Shows are hosted by industry thought leaders. Guests are a "who's who" across the healthcare spectrum.  The listening audience is predominantly physician and hospital-based, and the healthcare industry at large.

Introducing Bytes and Brews, the podcast where we break down the latest happenings in tech and data.

New tracks tagged #Data Quality