Compose a thoughtful, analytical answers for the following stand alone questions;
Q1- In 200-350 words explain the concepts and methodologies of data validation. Think in terms of data feeds from an EMR/EHR that ultimately ends up in an enterprise-wide data warehouse. How can data validation ensure data quality and integrity? What are recommendations on how to ensure only validated data ends up in consumable form? Be sure to address the impacts of data validation from a health care quality and performance improvement backdrop.
Q2. In 200-350 words, For effective business intelligence, one must differentiate quantitative and qualitative data. How can both data sources provide meaningful information for a health care organization? Focus your answer on interpreting, communicating, and distributing such data while highlighting impacts on patient quality and safety.
Q3. In 500 words, In terms of working with data, how has non-traditional data sources in the health care industry augmented or improved overall health care analytics? Think in terms of wearables, social determinants of health (SDoH), patient reported, Internet of Things (IoT), etc. In your opinion, why is this data critical for understanding an individual or community?