Reasons for Discontinuation (RfD) Report

Reasons for Discontinuation (RfD)

Understand the primary drivers of medication discontinuation

Unstructured clinical notes evolved to structured, real-world evidence and insights; bypass traditional reliance on physician recall
Comprehensive competitive intelligence with the wide availability of medications within Mental Health and Immunology
Micro-categories on real-world RfD for precise strategic impact where it matters most
Patient demographics for subpopulation pattern insights and SDoH initiatives

Premature medication discontinuation is costly to pharma and patient outcomes.

~$250 billion

US pharma companies lose annually due to medication non-adherence and premature discontinuation 1

~50^%

of people taking a medication for a chronic condition stop taking it within the first year 2

1 Source: Healthprize
2Source: CVS

Reasons for Discontinuation (RfD)

Transforming unstructured clinical notes into digestible, actionable insights

Leverage OM1’s extensive specialty data networks for access to the clinical notes from thousands of practices and clinicians

RfD is extracted from the unstructured clinical notes using OM1’s proprietary MLP and AI technology

Statistical analysis is completed by OM1’s data science team prior to final report submission

What’s in a Reasons for Discontinuation Report?

Cover Page & Table of Contents
Demographics & Population Overview
Reasons for Discontinuation
- Categories
  - Ex: tolerability, cost, effectiveness, etc.
- Individual Reasons & Reason Groups
  - Ex: Lack of tolerability and the associated problem
Time To Discontinuation
- Months by category
Supplementary Index
- More detailed analyses and tables

Condition Areas

Compare Discontinuation Patterns Among Competitive Therapies

Challenge

Understanding real-world, qualitative drivers for medication discontinuation, in comparison to similar medications within a therapeutic area.

Solution

Custom medication selection for quick, visual comparison of systemic patient discontinuation patterns at both the macro and micro levels — insights directly from the patient’s clinical note history.

Precision Messaging Formulated by Precision Patient Population Insights

Challenge

Deriving a qualitative understanding of what, where, and why patient subgroups are experiencing the largest premature medication drop-offs.

Solution

Comprehensive patient demographics, including age group, race, gender, and geography linked to their reason for discontinuation for foundational precision messaging.

Recognize & Respond to Discontinuation Patterns that are Impacting Your Patients

Challenge

Identifying and mitigating patient premate drop-off due to causes outside of therapy efficacy.

Solution

Micro-categories for reason for indication can highlight the largest opportunity for intervention, including specific side-effects, cost and various other reasons.

RfD Demo Report

https://youtu.be/znOjCszSPzQ