The healthcare sector is one of the industries that generates vast quantities of useful raw data. Unfortunately, many healthcare organizations are unable to fully exploit this raw data and turn it into actionable insights.
OMNY’s whitepaper proposes the DIKW framework as the ultimate methodology for converting raw data to wisdom that can inform transformative decisions. The key tenets of the DIKW framework include:
- Data: This is real-world data collected from patients. It includes structured EHR data, clinical notes, and claims data.
- Information: This is data with meaning. It constitutes EHR data, clinical notes, and claims data that is linked to provide an overview of patients’ journeys. In simpler terms, information is data that is organized and linked to contextualized patients’ journeys.
- Knowledge: This level entails information interpretation, pattern recognition, and understanding causal relationships in data. It leverages technologies such as AI, NLP, and LLM. The goal is to generate real-world evidence on the effectiveness of treatment plans, safety profiles, and compare therapy performance. It also includes identification of population-level trends.
- Wisdom: This is the final phase of the DIKW framework. It involves applying the knowledge to create real-world transformation. For example, using knowledge to inform regulatory strategy, optimize clinical trials, enhance precision medicine, and improve patient care and outcomes.
This guide provides a comprehensive description of the DIKW framework and how it can be used to convert fragmented data to strategic wisdom that can enhance patients’ experience and care facility productivity. Additionally, it defines areas where the healthcare industry can leverage OMNY Health to strengthen their data strategy.
