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Corine Muegge, Associate Director of Strategic Pricing and Contact Management at Genentech, talks about how speed is critical to great patient care.

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Innovation and growth drive the life sciences industry. Yet increasing complexity, cost pressures, regulatory issues, and information overload are making innovation harder and harder to achieve.

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What if you could manage, analyze, and turn massive volumes of data into valuable and actionable insights to sustain your innovation and maintain competitiveness?

What if you had insight into life science’s toughest challenges?

What if you could make better clinical decisions before and after product launch, ultimately bringing viable, safer products to market faster?

 

To achieve these goals, you need to unleash the power of your data across the entire drug and patient lifecycle, use real world evidence to your advantage, manage your aggregate spend, jumpstart the commercialization drug phase, better manage clinical operations, and much more.

Enter Saama.

Data Science at Its Most Insightful

Fluid Analytics℠ for Life Sciences

Saama can help you tackle the challenges you face as a life sciences company.

We have a successful track record of analyzing large volumes of data, understanding the complexity of unstructured and semi-structured data, and managing the speed of real-time data.  We offer comprehensive data and advanced analytics solutions to address your increasingly complex ecosystem of information. We enable you to:

  • Manage, analyze, and turn information into valuable and actionable insights
  • Leverage volumes of data and complex data types — image files, video, instrument data capture — into scientifically relevant insights
  • Improve operations management across the enterprise and an increasingly complex regulatory environment
  • Understand hidden trends and act before problems grow — reducing costs and increasing revenue

Data Science at Its Most Insightful

Ready Analytics for Life Sciences

Saama can help you tackle the challenges you face as a life sciences company.

We have a successful track record of analyzing large volumes of data, understanding the complexity of unstructured and semi-structured data, and managing the speed of real-time data.  We offer comprehensive data and advanced analytics solutions to address your increasingly complex ecosystem of information. We enable you to:

  • Manage, analyze, and turn information into valuable and actionable insights
  • Leverage volumes of data and complex data types – image files, video, instrument data capture – into scientifically relevant insights
  • Improve operations management across the enterprise and an increasingly complex regulatory environment
  • Understand hidden trends and act before problems grow — reducing costs and increasing revenue

Life Sciences Solution Areas

Clinical Development Analytics (CDA)

Identify High-performing Sites, Monitor Clinical Trial Progress

Our unique analytics assets and clinical data expertise offer the flexibility, speed, and ease of use to unleash the power of data, facilitate clinical trial decision making, predict milestone delays, monitor KPIs, mitigate risk, and ensure clinical operational efficiencies.

Drug Commercialization Analytics

Always-On Analytics — Accelerate ROI, and Generate Clinical and Commercial Insights

Our unique analytics assets and health data expertise offer the flexibility, speed, and ease of use to unleash the power of data, prove clinical and economic value of products, increase market access, truncate product development timelines, and accelerate return on investment.

CLINICAL DEVELOPMENT

COMMERCIAL

Data Manager
Clinical Development Analytics
Clinical Development Feasibility
Cohort Builder
Pathways
Market Focus
Data Manager

Data Manager

Saama has built a comprehensive ecosystem that automates the whole process of ingesting a wide variety of structured, unstructured, Real World Data (RWD), clinical trial and operational data. Saama is able to construct a holistic and multi-faceted view of a given patient that is useful in identifying cohorts for clinical trials and tracking their use and interaction with the treatments they receive. These advancements are crucial for the development of an enterprise data lake. Saama’s Data Management Solution truly delivers on the concept of having Clinical Data Management as a Service and is part of an entire suite of cognitive analytics that Saama is building for the life sciences industry.

Clinical Development Analytics

Clinical Development Analytics

Assess risks across all studies to evaluate performance based on key metrics and flags potential risks that would impede the study. Clinical Development Analytics (CDA) provides study-to-patient level analytics in clinical trials for safe and effective evaluation of therapeutics during the drug development pipeline for pharmaceutical companies. This offers insights for internal bio stats (medical affairs through pharmacovigilance (PV)) and for future study design: your organization can benchmark against your competitor landscape across therapeutic areas, indications, and regions.

Clinical Development Feasibility

Clinical Development Feasibility

Clinical Development Feasibility defines patients by inclusion/exclusion criteria and uncovers key areas for protocol design improvement, which leads to avoidance of costly amendments. In addition, it helps pinpoint principal investigators and institutions that are prime for enrolling the target patient population.

Cohort Builder

Cohort Builder

Organizes patient information to easily pinpoint population groups that fit specified criteria. Cohort Builder can help you understand incident rates and co-morbidities of a disease across a target cohort to optimize patient recruitment. With population identification, your company can develop knowledge around treatment discontinuation, lab result trends, and clinical outcomes.

Pathways

Pathways

Discern patient treatment switches for a target disease or cohort, and then visualize for insights of treatment outcomes. Pathways can help your organization define real world treatment patterns based on information from routinely collected health records. Understanding average ‘days on therapy’ and treatment switches your organization can prepare clinical development plans and understand the real areas of opportunity — everything from patient acquisition to satisfaction and retention.

Market Focus

Market Focus

Evaluate payer contract performance as well as patient-focused discount performance for a given drug in a specific therapeutic class. Market Focus allows you to leverage the information for trend isolation of affiliates, payers, and the provider landscape, and better assess high-performing accounts and drugs. This capability allows you to target pull-through opportunities and other areas for competitive marketing.

CLINICAL DEVELOPMENT

CLINICAL DEVELOPMENT

Data Manager
Clinical Development Analytics
Clinical Development Feasibility
Cohort Builder
Data Manager

Data Manager

Saama has built a comprehensive ecosystem that automates the whole process of ingesting a wide variety of structured, unstructured, Real World Data (RWD), clinical trial and operational data. Saama is able to construct a holistic and multi-faceted view of a given patient that is useful in identifying cohorts for clinical trials and tracking their use and interaction with the treatments they receive. These advancements are crucial for the development of an enterprise data lake. Saama’s Data Management Solution truly delivers on the concept of having Clinical Data Management as a Service and is part of an entire suite of cognitive analytics that Saama is building for the life sciences industry.

Clinical Development Analytics

Clinical Development Analytics

Assess risks across all studies to evaluate performance based on key metrics and flags potential risks that would impede the study. Clinical Development Analytics (CDA) provides study-to-patient level analytics in clinical trials for safe and effective evaluation of therapeutics during the drug development pipeline for pharmaceutical companies. This offers insights for internal bio stats (medical affairs through pharmacovigilance (PV)) and for future study design: your organization can benchmark against your competitor landscape across therapeutic areas, indications, and regions.

Clinical Development Feasibility

Clinical Development Feasibility

Clinical Development Feasibility defines patients by inclusion/exclusion criteria and uncovers key areas for protocol design improvement, which leads to avoidance of costly amendments. In addition, it helps pinpoint principal investigators and institutions that are prime for enrolling the target patient population.

Cohort Builder

Cohort Builder

Organizes patient information to easily pinpoint population groups that fit specified criteria. Cohort Builder can help you understand incident rates and co-morbidities of a disease across a target cohort to optimize patient recruitment. With population identification, your company can develop knowledge around treatment discontinuation, lab result trends, and clinical outcomes.

COMMERCIAL

COMMERCIAL

Pathways
Market Focus
Pathways

Pathways

Discern patient treatment switches for a target disease or cohort, and then visualize for insights of treatment outcomes. Pathways can help your organization define real world treatment patterns based on information from routinely collected health records. Understanding average ‘days on therapy’ and treatment switches your organization can prepare clinical development plans and understand the real areas of opportunity — everything from patient acquisition to satisfaction and retention.

Market Focus

Market Focus

Evaluate payer contract performance as well as patient-focused discount performance for a given drug in a specific therapeutic class. Market Focus allows you to leverage the information for trend isolation of affiliates, payers, and the provider landscape, and better assess high-performing accounts and drugs. This capability allows you to target pull-through opportunities and other areas for competitive marketing.

Fluid Analytics℠ for Life Sciences

The Saama Fluid Analytics for Life Sciences is an industry-specific orchestration environment that integrates and aggregates structured and unstructured data.

Includes such features as:

  • Enterprise-wide data model
  • Extensible and flexible framework for easier customization
  • Predefined data mapping templates that interface with source systems to mitigate development efforts and accelerate implementation of a robust data warehouse.
  • Data architecture that maintains availability, reliability, scalability and data load strategies that follow best practices and ease ongoing data maintenance.
  • Advanced analytical data components to facilitate business intelligence strategy that enables you to quickly measure success and improve your  performance with highly rated performance metrics.

Making Real World Evidence Analytics Work

A guide for bio-pharmaceutical executives.

The Real World is messy. But your data doesn’t have to be. At Saama Technologies, we help you manage, analyze, and turn your massive volumes of data into valuable and actionable insights.

Read our new whitepaper to learn:

  • Why Real World Data is frustrating top bio-pharmaceutical executives
  • How Real World Evidence Analytics can be applied across the entire drug lifecycle
  • What questions to ask a Real World Evidence Analytics vendor
  • What a robust Real World Evidence Analytics platform looks like
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