Use cases

A sampling of use cases for Applying RWD and AI to your programs today

Sample Use Cases for RWE

Disease Burden

Market Sizing

Trial Feasibility, Protocol Planning and Recruitment

Regulatory

Safety & Benefit: Risk

Expanded Access

Effectiveness

Subtypes

Utilization

Value-based Contracting and Personalized Medicine

| Use Case

Seek expanded indication for an ablative device

Challenge

To describe real-world patterns of use for an oncology device to treat a gastrointestinal cancer, including patient, disease, physician and site characteristics:

Prospectively collect and transform disparate data into a usable source, including PROs
Evaluate safety and outcomes

Solution

Form comparator cohorts
Use EMR and other system extraction (including clinical notes and PROs)
Reduce burden for monitoring
Improve data completeness for untreated patients
Reduce bias

35 sites
~600 patients
18 month enrollment
Up to 24 month follow up

| Use Case

Support post market commitments and expanded label for cancer screening

Challenge

RWD is needed to evaluate the effectiveness of a screening device for cancer in high risk patients. Study is currently in progress.

Solution

We are conducting an observational, prospective multi-center study to collect data, including:

EMR, laboratory, pathology and radiology, and in vitro diagnostic data
Structured and unstructured data (e.g. pathology reports)

from Integrated Delivery Networks (IDNs), hospital systems and large medical practices.

~50,000 total patients
~10 sites
5 years

| Use Case

Expand detection with AI modeling & risk stratification in Abdominal Aortic Aneurysm

Challenge

Screening guidelines to identify Abdominal Aortic Aneurysm (AAA) patients capture a minority of high risk cases, leading to a large number of patients left undiagnosed.

Solution

We used a targeted approach with AI modeling to identify:

2X increase in patients over guidelines
AAA patients at elevated risk for referral to ultrasound screening, including those who fall outside current screening guidelines
AAA patients at high risk for surgical re-interventions

~489,000 total AAA patients
~10,000 ruptured AAA patients

| Use Case

Inform case management with OMBI^® spine scores

Challenge

For Healthcare Providers:

Predict which spine procedure patients are at higher risk of excess resource utilization, using only preoperative information, to inform case management

Solution

We developed an AI model that outputs OM1 Medical Burden Index (OMBI^®) scores—customized for spine surgeries—identifying which patients are most likely to break spine procedure bundles.

OM1's OMBI^® Spine Platform successfully identifies high-cost bundle breakers, including highest-cost ‘outliers.’

| Use Case

Empower personalized insights for shared decision making in OA patients

Challenge

For Healthcare Providers:

In current clinical settings, OA patients lack education and confidence for making a surgery decision
During surgical consults, decision making is not shared with the surgeon, raising the likelihood of bad outcomes

Solution

Delivers AI-based decision support
Complements the physician-patient decision making process and improves care through personalized risk and benefit predictions
Patient-centric tool is first of its kind to be used in a real world clinical setting

“…significantly improved decision quality, level of SDM, satisfaction, and physical limitations” Jayakumar et al., JAMA Network Open, Feb. 2021

| Use Case

Predict and assess outcomes for bariatric patients

Project Goals

Explore novel approaches to better understand which patients are more likely to benefit from bariatric surgery.

Calibrate a predictive model to determine the likelihood of benefit from or failure of bariatric surgery
Use the calibrated model to analyze partner data, benchmark population health status, and aid decision-making

Methodology

Use the OM1 AI™ platform to calibrate predictive models to assess patients’ health and resource utilization outcomes after bariatric surgery.

What questions can OM1 help you explore?

David Giannino

Senior Director, Business Development
dgiannino@om1.com

Joseph Zabinski, PhD

Senior Director, AI & Precision Medicine
jzabinski@om1.com