What is Evidence-based Decision Support?

Fullscript - Evidence-based decision support

Evidence-Based Medicine

Evidence-based medicine (EBM) is a mindset that practitioners take when evaluating research and applying it in a clinical context.

EBM is a combination of three key factors:

  • Relevant scientific evidence
  • Patients’ values and preferences
  • Clinical judgment

EBM prioritizes evaluating the body of research around a topic instead of just following established norms or standards.

Decision Support

Clinical decision support systems and programs that improve health quality and practice efficiency, while limiting errors in clinical practice.

Evidence-Based Decision Support (EBDS)

A clinical decision support system that provides practitioners the efficient means of combining relevant scientific evidence, patients’ values and preferences, and clinical judgment to develop clinical treatment plans using the best therapeutic interventions available.

The purpose of EBDS in the context of integrative medicine is to help practitioners make decisions about supplements to discover best practices according to available research.


Fullscript makes it easy to learn about supplements so
practitioners can recommend what’s right for their patients.

Practitioners want to understand the research behind the supplements they use with their patients. To date, bridging the gap between research and practice is particularly difficult when it comes to supplements. There isn’t an all-in-one resource where practitioners can find research on supplements
and have a way for patients to get those supplements.

By integrating ingredient and condition research into the Fullscript experience, practitioners will be able to make informed decisions for their patients – helping them to understand when it’s appropriate to use a supplement and at what dose, as well as when not to use that supplement.


Why is EBDS important?

The foundation of clinical practice is the ability to research effectively, consolidate information, and apply the information with the individual patient and their case in an efficient manner. Researching and consolidating information can take effort and time that many practitioners don’t have.

By creating features in Fullscript that make research easier, make staying updated easier, make limiting errors easier, and make appropriate product selection easier; Fullscript will evolve into an essential platform for practitioners.


Rating Scales for Evidence-Based Decision Support

In order to establish an evidence-based decision support system, it was necessary to first determine a rating scale for the evidence that would be used. Not all evidence is equal and practitioners should know exactly what kind of evidence is being referenced with regard to specific ingredients.

The following rating scale was established to clearly prioritize meta-analyses and systematic reviews of human trials, followed by randomized, double-blind placebo controlled (RDBPC) human trials, which collectively represent the first three tiers. Thereafter, non-RDBPC human trials, animal trials and theoretical research are ranked in succession, respectively.

Overall, the main emphasis in content and protocols development will be to use tiers A through C, but ranking will also be clearly identified for practitioner reference.

Class Qualifying studies Minimum requirements
A Systematic review or meta-analysis of human trials
B Human RDBPC ≥ 2 studies and/or 1 study with ≥ 50
C Human RDBPC or RCT 1 study < 50 subjects
D Human trials or In-vivo animal trials
E In-vitro studies
F Theoretical based on biochemistry/physiology/pharmacokinetics

RDBPC = Randomized Double-Blind Placebo Controlled
RCT = Randomized Controlled Trials