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Does Implant Design Matter? Studying Total Knee Arthroplasty in Clinical RWD

Knee replacement surgery has advanced significantly over the years, with innovations in implant design aimed at improving patient mobility and long-term outcomes. However, when it comes to single-radius (SR) vs. multi-radius (MR) femoral implants, how much of an impact does design really have on patient recovery and healthcare utilization? While clinical trials provide controlled comparisons, real-world evidence offers a broader perspective on outcomes across diverse patient populations. 

 To better assess these differences, OMNY Health analyzed real-world data from its orthopedic-focused medtech dataset, evaluating clinical, functional, and economic outcomes in TKA patients. 

Comparing Implant Design in Real-World Settings

This study leveraged data from the OMNY Health Medical Device Database (2017-2021), examining 1,464 patients who underwent unilateral TKA. Patients were categorized into SR (N=1,135) and MR (N=329) cohorts, allowing for direct comparisons of key outcomes.

bar chart showing demographic characteristics among patients with sickle cell

Patient Demographics:

  • Most patients were born between the 1950s and 1960s (SR: 59%, MR: 57%). 
  • Women accounted for the majority of cases (SR: 63%, MR: 70%). 
  • The SR cohort had a higher proportion of White patients (85%) compared to the MR cohort (75%). 
  • More MR patients underwent outpatient procedures (53%) compared to SR patients (43%). 

Key Findings: Minimal Differences Between Implant Designs 

Despite prior speculation that implant design could significantly impact outcomes, this real-world analysis found that SR and MR implants performed similarly across key measures. 

bar chart showing demographic characteristics among patients with sickle cell

Clinical Outcomes: 

  • Mortality rates were low in both cohorts (SR: 1.1%, MR: 0.3%). 
  • Postoperative knee pain was reported at comparable rates (SR: 0.6%, MR: 1.2%). 
  • Implant removal was rare, with no significant difference observed (SR: 0.4%, MR: 0.0%). 

Functional Outcomes: 

  • Non-routine discharge disposition (NRDD) rates were identical (SR: 16.4%, MR: 16.4%), suggesting that implant design did not influence post-surgical mobility. 

Economic & Utilization Outcomes:

  • Length of stay (LOS) was similar across groups (SR: 0.98 days, MR: 0.96 days).
  • Gross charges were slightly higher for SR patients (Median: $43,879 vs. $39,255 for MR), though differences may be driven by factors beyond implant design.

What This Means for Clinical Decision-Making 

The findings suggest that implant design alone does not significantly impact clinical or functional outcomes in TKA patients. Instead, factors such as surgical technique, rehabilitation protocols, and patient-specific factors play a more substantial role in determining recovery and long-term success.

For healthcare providers and medtech companies, these results highlight the value of real-world data in refining orthopedic product development and post-market surveillance. While MR designs have been thought to provide more natural knee movement, this study suggests that real-world functional outcomes do not differ significantly between SR and MR implants.  

Additionally, the slight difference in cost between implant types warrants further investigation to determine cost-effectiveness in value-based care models.

The Role of Real-World Data in Orthopedic Research

By integrating structured EHR data with curated clinical measures, OMNY Health provides real-world insights into medical device performance. This data-driven approach enables:

  • Comparisons of implant designs and surgical techniques to refine best practices. 
  • Better understanding of patient recovery patterns and healthcare utilization. 
  • Support for evidence-based decision-making to optimize orthopedic device selection and patient outcomes.

With orthopedics as a key therapeutic area for medtech innovation, leveraging real-world evidence is essential for ensuring high-quality, cost-effective decision-making in TKA and beyond.

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Breaking Barriers in Sickle Cell Care: Real-World Insights on Treatment & Healthcare Utilization

Breaking Barriers in Sickle Cell Care: Real-World Insights on Treatment & Healthcare Utilization

Sickle cell disease (SCD) presents unique challenges for patients and healthcare providers alike. To better understand these challenges, OMNY Health analyzed real-world data (2017-2024), leveraging its unique ability to integrate structured EHR data with curated clinical measures to provide a comprehensive view of SCD patients. This study examined the demographics, healthcare utilization, and treatment patterns of 10,958 individuals diagnosed with SCD.

Disproportionate Burden and Frequency of Healthcare Use in Sickle Cell Disease

SCD remains a condition that disproportionately affects minority populations. Among the studied population:

  • 82% identified as Black, with additional representation from Hispanic and Asian/Pacific Islander groups, emphasizing racial disparities in disease burden and healthcare access.
  • The average age of patients was 37 years, showing that SCD continues to impact individuals well into adulthood.

Figure 1. Demographic Characteristics of Patient Population

bar chart showing demographic characteristics among patients with sickle cell

API = Asian Pacific Islander
Note: Percentages were based on non-missing data

At the same time, these patients experience high levels of healthcare utilization:

  • 66% had an emergency room visit.
  • 65% required outpatient care.
  • 4.3 inpatient admissions per patient on average, though some required over 185 hospital stays.

These figures suggest that many individuals with SCD struggle with disease management, pain crises, and complications that lead to recurring hospital visits. The high frequency of inpatient admissions, even among younger adults, indicates that preventive strategies may not be reaching those who need them most. Many hospital stays are driven by acute complications, highlighting the importance of early intervention and better access to disease-modifying treatments that could reduce the need for emergency care.

Table 1: HCRU Among Individuals with SCD

 Inpatient AdmissionsEmergency VisitsOutpatient Visits
Mean (SD)4.3 (10.6)7.0 (15.4)34.1 (74.3)
Median (Q1, Q3)2.0 (1.0, 3.0)3.0 (1.0, 7.0)8.0 (2.0, 29.0)
Min, Max1, 1851, 3681, 1147

Comorbidities and Limited Treatment Utilization for Sickle Cell Disease

OMNY Health’s curated datasets capture a wide range of comorbidities, helping to identify broader clinical patterns that impact SCD progression. Among the most common conditions observed:

  • Anemia, chronic pain, and hypertension, which are linked to SCD progression.
  • Gastroesophageal reflux disease (GERD), urinary tract infections, and vitamin D deficiency, highlighting broader health vulnerabilities.

Figure 2: Top clinical comorbidities among individuals with SCD

bar chart showing top clinical comorbidities among individuals with sickle cell

URI: Upper respiratory infection; GERD: gastro-esophageal reflux disease without esophagitis

Despite available treatments, adoption remains low:

  • 11.3% of eligible patients received hydroxyurea, the most used therapy. 
  • Less than 1.1% of patients received newer disease-modifying treatments, such as Crizanlizumab, Voxelotor, L-glutamine, or Stem Cell transplants.

This raises concerns about barriers to access, including cost, provider awareness, and prescribing patterns. Through OMNY Health’s ability to track real-world prescribing trends and treatment adherence, stakeholders can better understand where interventions are needed to improve access.

Moving Forward with Data-Driven Solutions

By leveraging OMNY Health’s robust real-world data, we can provide critical insights into treatment patterns, healthcare utilization, and patient needs. OMNY Health’s curated data and clinical measures enable a more complete understanding of SCD care gaps, supporting efforts to inform policy changes, optimize treatment strategies, and enhance healthcare provider decision-making

For more information about OMNY Health’s product offerings, let’s connect!

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Unlocking Real-World Insights into IBD Treatment: The Power of Clinical EHR and Physician Notes Integration

At OMNY Health, we believe that unlocking the full potential of healthcare data means going beyond structured fields in Electronic Health Records (EHRs). By combining EHR data with unstructured clinical notes, we can uncover insights that truly reflect the complexities of patient care—insights that are often hidden in claims or EHR data alone.

Our recent study on Inflammatory Bowel Disease (IBD) treatment patterns highlights the unique value of integrating EHR data with clinical notes. Using Large Language Models (LLMs), we analyzed over 10.6 million clinical notes from our health systems to explore why IBD patients switch or discontinue biologic treatments. This approach gave us a comprehensive, real-world view of treatment decisions. We identified 7 distinct reasons for treatment alteration across 7 biologics.

Key Findings: Uncovering the Real Reasons for Treatment Changes

While traditional EHRs track structured data like medication prescriptions and diagnoses, they often miss the “why” behind treatment decisions. Our study revealed seven key reasons why biologic treatments are altered, based on unstructured notes that provide deeper context:

  • Adverse Drug Events (16-28%)
  • Finance-Related Reasons (4-24%)
  • Patient-Related Factors (2-9%)
  • Lack of Efficacy (1-14%)
  • Symptom Resolution (1-4%)
  • Drug-Disease Interactions (1-3%)
  • Obstetric Concerns (0-2%)

Figure 1. Reasons for Biologic Switching in IBD

BiologicAdverse Drug Event (%)Drug-Disease Interaction (%)Symptom Resolution (%)Finance Related (%)Patient Related (%)Not Effective (%)Obstetric (%)
Infliximab28.261.922.8724.428.6214.370.48
Adalimumab26.822.871.4412.938.142.871.92
Golimumab0.9600.481.440.4800
Certolizumab1.92000.96000
Vedolizumab16.280.964.317.186.701.441.92
Ustekinumab11.010.4803.832.3900
Risankizumab0.960000.4800

Transforming IBD Care: From Data to Insight

By analyzing clinical notes, OMNY Health’s AI models identified reasons for treatment alterations with 94.5% accuracy. This level of insight isn’t typically captured in structured EHR fields, and it has significant implications for improving patient care.

Understanding the real-world reasons behind treatment changes is essential for refining treatment strategies, improving adherence, and ultimately achieving better patient outcomes. For IBD patients, this means more personalized care tailored to their unique circumstances—whether that’s a financial hurdle, an adverse drug reaction, or a need for a more effective therapy.

The Future of Healthcare Data: A New Era of Personalized Care

At OMNY Health, we’re excited about the future of healthcare data. By integrating EHRs with unstructured clinical notes and leveraging the power of AI, we can identify patterns that were previously overlooked. This approach not only improves our understanding of IBD treatment but also has the potential to transform how we approach care across a wide range of conditions.

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