Clinical & Business Intelligence: Data Management - A Foundation for Analytics
With the emergence of EHRs, HIEs, all-payer claims databases, and continuity of care documents (CCD), clinicians and administrators at Health Systems are drowning in data and eagerly seeking ways - through analytics and clinical and business intelligence (C&BI) - to convert data into information and knowledge that can be leveraged to manage and improve clinical, operational, and financial performance.
Data, and the management of those data, create the foundation for a successful C&BI analytics program. In order to acquire, maintain, and prepare data for use in clinical and business analytics, each step should be defined and implemented to ensure quality data for analytics.
This series includes modules on data governance, data integration, data enrichment and enhancement, and data storage; targets health IT CIOs, Directors and Managers responsible for managing data; and provides an overview of considerations and best practices for successfully managing your data.
This is a HIMSS C&BI Task Force tool that identifies the challenges faced by healthcare organizations, both in business and technical terms and explores the topic of integrating Clinical and Business Intelligence (CBI) with operational workflows in the clinical environment.
Data Management Resources
Making Big Data Accessible to Your Business: How to Staff & Support Distributed Analytics Teams – HIMSS C&BI Committee, July 2018
This resource helps executive leaders and IT/informatics/clinical leadership and managers at large to medium size providers and research organizations who are exploring big data drive your business to improve ROI and optimize patient care metrics and workflow with the right staffed and supported distributed analytics teams.
Conversations on Data Sharing for Clinical and Business Intelligence Applications - June 18, 2018
For organizations that have not begun the interoperability journey, you may have questions on how to start or what obstacles to avoid. The HIMSS Clinical and Business Intelligence Committee spoke with three organizations in different stages of the data sharing journey and asked them to share some key insights into their experiences.
Practical Steps to Enterprise Data Governance – HIMSS, April 14, 2016
In this companion piece to "A ROADMAP TO EFFECTIVE DATA GOVERNANCE: How to Navigate Five Common Obstacles," learn how to create a program that succeeds in getting your data governance started and sustained, understand the importance of data stewardship, and take the long-term view of data governance.
A ROADMAP TO EFFECTIVE DATA GOVERNANCE: How to Navigate Five Common Obstacles – HIMSS May 2015
A HIMSS C&BI Committee paper examining five obstacles encountered by healthcare organizations when implementing data governance and recommended approaches to achieve the desired results
Three Questions for a Strong Data Management Strategy – HIMSS, August 2014
An enterprise-level approach to data management that addresses all the sources, people, and processes is required to ensure the data is accurate, current and consistent.
7 Ways to Maximize the Value of Data Visualization in Dashboards – HIMSS, November 27, 2013
Expert advice from Allison R. Allison, a health analytics consultant from Leidos and associated with the HIMSS Clinical & Business Intelligence Data and Analytics Task Force.
Researchers Mine Data From Clinic, Big Insurer
UnitedHealth Group and Mayo Clinic will launch Optum Labs to use millions of health-insurance claims/patient records to research best outcomes at lower costs.
Mining Electronic Records for Revealing Health Data
RAND report neglects a powerful incentive for the switch to EHRs: the resulting databases of clinical information are gold mines for medical research.