Planting the Seeds of Big Data Through Clinical Decision Support
February 21, 2017 — 10:00AM EST - 05:00PM EST
Clinical data is vital to patient care, and big clinical data can be mined and analyzed to make important clinical and business decisions. When this data does not exist, decisions must be made in a vacuum. Important clinical data, such as a medication’s indication for use or intended duration of therapy may not always be readily available to members of the healthcare team when needed.
In an effort to capture and disseminate critical clinical data, the organization has developed a method to require clinical indications during the ordering process for several medications. These include antibiotics, methotrexate, proton pump inhibitors, as well as others in development. Through the use of prescriber facing clinical decision support prompts, detailed information can be captured from the prescriber at the time of order entry. This allows critical information to be presented to the prescriber in a more focused and timely manner as well as communicating to the rest of the healthcare team the clinical thought process of the prescriber. This increase in communication decreases needless calls to the prescriber, directs to appropriate guideline based therapy, and allows for large scale analysis of clinical practice in the healthcare system.
Understand the relationship of medications and indications.
Understand the importance of this data being known by all clinicians caring for the patient.
Describe how sharing real time data impacts the healthcare team.
Compare how this data can be used to promote individual patient safety as well as broad population initiatives