06 Apr 2022

Is your clinical decision support system ready for the future?

Is your clinical decision support system ready for the future?
Clinicians operate in a highly complex world. Approximately 1,000 new medical articles are published each day, and practice protocols change often. New medications come to market each year, and science continues to evolve. To keep up, clinicians need reliable, updated clinical decision support solutions that are integrated and accessible.

A comprehensive clinical decision support solution can meet today’s clinical needs and tomorrow’s healthcare challenges. Tina Moen, PharmD, Chief Pharmacy Officer and General Manager, IBM Micromedex, IBM Watson Health, knows that medicine is complicated and complex, as are patients, and there are things people can miss. "There’s no way for any one clinician to know everything" she says, "clinicians need help sifting through data to focus on the right care for each patient.” 


What does a robust clinical decision support system offer?

A clinical decision support (CDS) system can help doctors, nurses and pharmacists improve health by providing targeted health information to inform their decisions. Many CDS systems integrate with the electronic health record (EHR) and the computerized provider order entry system for use within an existing workflow. The most comprehensive CDS systems offer:

• Artificial intelligence (AI), including natural language processing (NLP)
• Cloud-based tools
• User-friendly designs for alerts and reminders, order sets and templates
• Drug alternatives, including off-label use
• Patient education materials in numerous languages
• Social and economic risk indicators
• Real-time interaction with technology


Whether you’re exploring a new CDS system — or evaluating an existing one — there are 7 key elements that you can consider:

  • Quality of clinical data
  • Personalization
  • Adoption
  • Multi-platform access from the cloud
  • Costs
  • Accuracy
  • Ease-of-use with AI


Take a look at our paper to read more about each of these 7 elements in evaluating a CDS solution, as well as implementation and forecasting:


Healthcare is changing, and so are the ways health systems collect, store and exchange data. Advanced technologies like cloud, AI and NLP help clinicians manage increasing data volumes with limited time. You don’t have to wait; they’re available now.

Is your clinical decision support solution ready for the future? Talk to the IBM Watson Health team on our exhibition stand at the Clinical Pharmacy Congress to find out more.