Unleash the Power of
Real-World Data

Real-world data (RWD) show how healthcare is provided in the real world. Sources include medical and pharmacy claims, lab tests and results, electronic health records, and clinical pathways. These data represent the journey of patients through the healthcare environment—their diagnoses, procedures, drugs, diagnostic testing and results, and the care provided by their HCPs.

MMIT integrates all these different data sources and links them to payer coverage data to create a unified record of patients, providers, therapies, treatments and results. Life sciences companies can use RWD to predict where their potential patients will be located, identify prescribing physicians and specialists, and engage the right physicians with the best messaging at the point of care. Ultimately, RWD helps life sciences companies ensure that life-saving therapies find their way to the physicians and patients who need them most.

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Intro

Patient Journey

RWD offers insight into how patients move through the treatment continuum.

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Science to
Symptoms
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Diagnosis to
Prescription
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Treatment to End
of Therapy
Science

Science to Symptoms

Events Captured at this Stage
  1. Demographic information: age, gender, geographical location, etc.
  2. Comorbidities: what is the health of the patient?
  3. History of visits: is patient routine on check-ups, etc.?
  4. Lab criteria: biomarkers, genetic testing
Insights at this Stage
  1. Prior to patients being diagnosed, what is their overall health? Can this influence treatment decisions?
  2. Develop standard cohort and stratification
  3. History of patient, look-back/look-forward times
  4. Do they have access to care; are there geographic barriers?
Diagnosis

Diagnosis to Prescription

Events Captured at this Stage
  1. Time from diagnosis to treatment
  2. Testing — targeted therapy
  3. HCP preference re combination vs. mono therapy
  4. Treatment to label
  5. Health insurance of patient
  6. What is first event (symptoms, prescription, etc.)
Insights at this Stage
  1. Patient referral patterns, present symptoms and treatment (specialist)
  2. Is there a delay from diagnosis to treatment? What causes delay (payer burden, access to care, specialist)?
  3. What is overall treatment rate — what are reasons diagnosed patient is not being treated; unmet need?
Treatment

Treatment to End of Therapy

Events Captured at this Stage
  1. Number of refills, days of therapy
  2. Change in prior therapy
  3. Follow-up visits
  4. Cost burden
  5. Testing for adverse events
  6. Switches in current therapy
  7. Setting of care: Center of Excellence, academic vs. community site, travel time
Insights at this Stage
  1. Do patients experience adverse events, are drug reductions or holidays used to manage?
  2. Health outcomes: progression free survival, overall survival, event-free survival, goal of treatment (real world evidence vs. clinical trial, etc.)
  3. Medication possession ratio, days covered ratio
  4. Setting of care: does this influence a patient’s overall care and treatment success/goals?
  5. Has cost of care impacted outcomes?
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Clinical Lab Transactions

Patient Volumes

  1. 300m+ total patients from 2017 forward
  2. 200m+ patients annually
  3. Channel representation of Commercial, Medicaid, Medicare and other government coverage
  4. Up to 6+ years of longitudinal patient data

Granularity

  1. 7K+ Hospitals
  2. 5,600+ Health Systems
  3. 1,500+ ACOs
  4. 6.5m+ Affiliations

Payer Detail Available

  1. Specifics by benefit plan
  2. Submissions with Prior Authorization (PA), Quantity Limit (QL), and Step Therapy (ST) specificity
  3. Denials with rationale specificity
  4. Rebates, coupons, deductibles, co-insurance and full payment amounts

Depth and Breadth

  1. 210m+ US lives
  2. 500m+ diagnostic test results per month
  3. 177m+ lab patients with linked claims
  4. 200m+ test results from inpatient hospitals
How Can RWD Help Answer Your Business Question?
Claims Data
Claims Data
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How many patients are actively being managed for their disease?

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What are lengths of therapy?

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What HCPs are managing patients and what influences treatment decision?

Lab Data
Lab Data
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How can I identify and stratify patients with the condition my therapy treats?

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What tests are being done at the HCP and institution level to identify patients with the condition?

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How can I target HCPs after they order a test and before they diagnose and prescribe?

Payer Coverage
Payer Coverage
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How are payers making coverage decisions for my brand?

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What hurdles exist at the plan level for patients to be prescribed?

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Even though my therapy is preferred by a payer, is my competitor’s therapy getting more utilization at that payer?

Pathway Data
Pathway Data
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What are the critical pathways at the institution level and how are they driving treatment decisions?

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Where are the advantages/ disadvantages to payer coverage?

Claims Data
Lab Data
Payer Coverage
Pathway Data
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Pricing
Find the Right Patients at the Right Time

Patients who have been diagnosed with ovarian, fallopian tube or primary peritoneal cancer over a given time period.

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Patients who have successfully completed a frontline platinum-based regimen (Cisplatin, Carboplatin).

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Patients who are in remission and haven’t moved on to a second therapy.

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Patients in remission who are actively being managed and maintain levels through lab testing (Cancer Antigen / CA 125).

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Eligible patients at Texas Oncology.

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Additional Resources
Infographic
Harnessing the Power
of Real-World Data
MMIT’s real-world data solution provides critical insights for manufacturers across the clinical and commercial life cycle.
DOWNLOAD
Infographic
How Real-World Data Illustrates
the Patient Journey
MMIT’s real-world data solution uses multiple data points and insights to help manufacturers understand each step of the patient journey.
DOWNLOAD
Feature #10
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Patient Access Analytics

This solution combines coverage, claims and pathways data to provide commercial pharma teams with a unique view of payer and prescriber behavior.

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Lab Data for Commercial Targeting

MMIT’s Lab Data assets and analysis help manufacturers target the right providers and patients at the right time, before a diagnosis or prescribing decision is made.

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Learn how MMIT’s real-world data and expertise
yield better insights faster

Explore MMIT’s RWD-powered solutions to understand how our mastered, linked and tokenized data assets deliver insights across the patient journey for end-to-end decision-making.

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