81qd

81qd Helps Our Clients Optimize Engagements with Health Care Providers (HCPs)

We leverage artificial intelligence platforms that can support clients in addressing their strategic imperatives.

Local Clinical Leader Identification and Network Mapping
Detect clinical connections among HCPs and identify local leaders who measurably impact the practice behaviors of other clinicians using Plexus^™, a proprietary clinical network mapping solution. Leverage the insights to design and execute commercialization initiatives that deliver the right message to the right target from the right messenger, thereby optimizing marketing effectiveness.

Thought Leader Identification and Profiling
Identify, profile, and map the networks of national and regional Thought Leaders by efficiently mining publicly available data related to authorship, clinical trial participation, conference speaking, professional association leadership, guideline development, and editorial responsibilities. Overlay proprietary clinical network maps to provide the most holistic view of Thought Leaders.

Thought Leader-Engagement Planning & Tracking
Improve relationships with Thought Leaders by planning and tracking interactions transparently across the enterprise using Acuity^™, a stakeholder management system with a suite of modules configured to meet user needs.

Patient-Finding Analytics
Pinpoint the clinicians currently managing undiagnosed patients with difficult-to-diagnose diseases using Orion^™, a proprietary patient-finding solution. Amplify the results using Plexus clinical network analytics to optimize commercial initiatives related to accelerating disease diagnosis.

Regional Marketing Analytics
Drive regional marketing activities and engagement by identifying the right experts, developing comprehensive engagement plans, assessing regional treatment dynamics, and tracking engagement success more efficiently and effectively through approaches based on proprietary artificial intelligence algorithms.

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Learn more about our proprietary technology

81qd leverages our core machine-learning platforms to support clients in addressing their key business questions

•	Leverages machine learning and real-world data-including medical claims and pharmacy claims-to reliably identify local clinical leaders, those individuals who impact the care of patients far beyond their own practice
•	Provides clinical network maps, which depict national, regional, and local network connections that are used to drive the diffusion of medical innovation to improve patient outcomes

•	Utilizes machine learning and real-world data-including medical claims, pharmacy claims, laboratory results, and electronic health records-to reliably find undiagnosed patients with difficult-to-diagnose diseases and, importantly, the HCPs managing them for other conditions
•	Integrates with Plexus, enabling our clients to leverage the power of clinical networks to facilitate disease diagnosis and treatment adoption

•	Employs industry-leading methodologies for data mining, cleansing, and disambiguation to identify and profile Thought Leaders from an academic and scientific perspective
•	Enables more effective Thought Leader engagement through a global stakeholder management platform that enables users to systematically identify the right experts for the right activities and share insights compliantly across the enterprise

Evidence of Our Impact: Case Studies

Analytics-driven approach to medical marketing to drive behavior change and uptake

Case Study #1: Using Patient-Finding Analytics to Help Drive Earlier Diagnosis

BACKGROUND

SITUATION

Immunology product on the market for 3 years with growth stagnating

Crowded marketplace with 5 competitors

Disease is not optimally managed

CHALLENGES

Increase disease diagnosis rates by 10%

Accelerate product adoption with the appropriate patient types

Improve efficiency and effectiveness of Health Care Provider (HCP) and patient promotion

QUESTIONS

What is the treatment journey for our target patients?

Which clinicians are currently managing undiagnosed patients?

How do we drive improved diagnosis rates?

APPROACH

ANALYZE

What is the treatment journey for our target patients?

•	Mapped clinical journey to understand patient flow and treatment patterns
•	Conducted Orion^™ analytics to identify undiagnosed patients

ASSESS

Which clinicians are currently managing undiagnosed patients?

•	Mapped undiagnosed and diagnosed patients to HCPs currently managing them
•	Prioritized HCPs based on undiagnosed patient volume, specialty, as well as frequency and recency of interaction

ACTION

How do we drive improved diagnosis rates?

•	Leveraged insights from Plexus^™ analytics to connect HCPs currently managing undiagnosed patients with the clinical leaders in their networks who were experts in diagnosing the disease

OUTCOME

Expanded Commercial Potential

• Found more than 100K undiagnosed patients who were being seen by at least 1 physician

• Uncovered target patients "hiding in plain sight" (ie, being treated by targets for other conditions)

Improved HCP Promotional Effectiveness

• Segmented HCPs based on patient volume (diagnosed and undiagnosed), as well as diagnosis rates

• Drove HCP awareness and education by equipping Medical Science Liaison (MSLs) with a suite of unbranded tools

• Collaborated with community through ongoing educational partnerships

Revolutionized Patient Engagement Paradigm

• Changed paradigm by revealing that 58% of undiagnosed patients were female vs expected 75% male

• Customized content based on actual patient profiles

• Launched breakthrough disease education campaign targeting undiagnosed patients

Case Study #2: Leveraging Network Mapping and Sentiment Analysis to Establish Leadership in a New Area

BACKGROUND

SITUATION

Launching 2 products across 3 hematology indications

Targeted tumor types were all ultra-rare

Client did not have any hematology presence

CHALLENGES

Entrenched competitors have been in the market for 5+ years

Limited internal knowledge of dynamics within hematology

No established relationships with Thought Leaders

QUESTIONS

Who are the key clinical leaders within and across tumor type?

What are their perceptions regarding key brand issues and themes?

Which clinicians should lead our speaker programs?

APPROACH

ANALYZE

Who are the key clinical leaders within and across tumor types?

•	Utilized Plexus^™ analytics and real-world data to identify clinical leaders for each tumor type
•	Leveraged Centers for Medicare & Medicaid Services (CMS) open payments data to understand current industry relationships

ASSESS

What are their perceptions regarding key brand issues and themes?

•	Leveraged natural language processing to determine sentiment (Positive, Negative, and Neutral) at a topic level for each thought leader

ACTION

Which clinicians should lead our speaker programs?

•	Integrated insights from Acuity^™ and Plexus to qualify, profile, and sort speakers based on academic leadership, clinical influence, and CMS data institutional restrictions, including prior speaker and consulting engagements

OUTCOME

Established Footprint

• Recommended engagement with 99 new clinical leaders

• Medical and commercial teams partnered to review and prioritize clinicians in order to build leadership in market space

Deepened Market Understanding

• Gained baseline understanding of clinical leader attitudes across 10 key issues

• Tracked evolution of attitudes to assess market dynamics and impact of messaging

Exceeded Product Uptake Expectations

• Achieved 40% new-patient share for first approved indication within 1 year

Case Study #3: Launching a Regional Marketing Team by Leveraging Predictive Analytics

BACKGROUND

SITUATION

Highly successful oncology drug in a competitive market looking to grow market share

Upcoming launch of new customer-facing team who will be accountable for Thought Leader (TL) engagement

Needed to identify TLs who strike a balance with respect to clinical, academic, and industry leadership

CHALLENGES

Ensuring stakeholders within the company were aligned on vision for the new team

Differentiating the team from other TL-facing contacts (sales reps, account managers, etc)

Identifying the right mix of TLs to optimize commercial needs

QUESTIONS

Who are the clinical and academic leaders and how are they connected to other HCPs?

Who are the TLs that should be prioritized for engagement?

How do we structure the new team so that it benefits both the customers and the company?

APPROACH

ANALYZE

Who are the clinical and academic leaders, and how are they connected to other HCPs?

•	Conducted Acuity^™ and Plexus^™ analytics to identify academic and clinical leaders and their respective networks

ASSESS

Who are the TLs that should be prioritized for engagement?

•	Integrated Acuity and Plexus academic and clinical analyses to create diverse list of TLs with singular view
•	Identified weighted and normalized scale of academic, clinical, and industry engagement to create TL score of 1-100
•	Worked with regional marketing leads to select TLs from a ranked list
•	Captured detailed profiles of TLs in Acuity stakeholder management system to support focused engagement

ACTION

How do we structure the new team so that it benefits both the customers and the company?

•	Created actionable recommendations for team based on strategic imperatives and stakeholder interviews
•	Developed a concise "walking deck" to clearly present the role to internal stakeholders

OUTCOME

Improved Engagement Effectiveness

• Identified, selected, and profiled 120 TLs with diverse academic, clinical, and industry experience

Deepened Stakeholder Understanding

• Educated internal stakeholders on regional marketing team’s strategy, ensuring a smooth launch for the team

Gained Alignment With Internal Stakeholders

• Significantly increased engagement and advocacy from TLs

WHAT WE DO

81qd Helps Our Clients Optimize Engagements with Health Care Providers (HCPs)

Learn more about our proprietary technology

HOW WE DO IT

Evidence of Our Impact: Case Studies

MEET OUR LEADERSHIP

WHAT WE DO

81qd Helps Our Clients Optimize Engagements with Health Care Providers (HCPs)

Learn more about our proprietary technology

HOW WE DO IT

Evidence of Our Impact: Case Studies

MEET OUR LEADERSHIP

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