HITEQ Resources & Events

Data dashboards help communicate information to your health center staff, clinicians and partners. However the development process can be daunting. Where do I start? Who is part of the process? What tools should I use? Many people start by choosing the tool, but before identifying the tool, it is helpful to think through the users and the design process. This primer walks you through steps to dashboard design and how to choose the right dashboard tool.

Measuring return on investment (ROI) and the value of population health management is an emerging concern for health centers.  Calculating ROI on HIT investment is complex, and few health centers have experience in this endeavor.  The definition of value varies by type and size of provider, patient population, and other factors, and may be unique to an organization.  This white paper discusses principles and approaches to measure the value proposition for population health management for health centers.  Although few examples exist, we present the results of one health center’s measurement of the value of PHM.

Using predictive analytics in health care is an emerging field, especially for health centers. This tool will provide a brief explanation of the purpose of predictive analytics, the ingredients necessary to apply these methods, and ways that health centers are using this approach to improve results. The objective of this resource is to help health center leadership and staff understand how and when predictive analytics can help them, and to think about how predictive analytics might fit into their data-driven QI program.

The purpose of the infographic is to describe how SDH data would be used for a variety of goals that would have traction with the clinic staff audience who may likely need to modify workflows and behavior in order to collect such data.  The visual case could be used in presentations or hung on a provider break room wall.

Since 2010, the healthcare industry has seen a remarkable increase in the use of technology in the administration and delivery in healthcare. This has led to a mass migration of data from paper charts and isolated systems to Electronic Medical Records (EMRs) and interconnected systems that transmit patient health and financial information across trusted and untrusted networks. While this has been a boon for the industry in its ability to provide timely information to those who need it the most, this transition has introduced a great deal of risk to the confidentiality and integrity of the information. Coupled with the fact that the information can be quickly monetized by criminals through insurance fraud and identity theft, the ecosystem is target-rich.