Intelligent Technology for Modern Commercial/R&D/Medical Operations

Intelligent Technology for Modern Commercial/R&D/Medical Operations

About

This is the new gold-standard Enterprise Technology Ecosystem for life sciences—one that puts artificial intelligence, natural language processing, automation, and deep healthcare domain expertise at the heart of the modern Commercial, R&D, and Medical enterprises.

This is a revolutionary leap ahead of anything that presently exists within Commercial, R&D, and Medical Operations.

According to Gartner's Emerging Technology Trends 2018 Assessment, our platform is leading the way in life sciences in the democratized AI category.

We look at ourselves as transformation partners to the industry working at the exciting intersection of medical content, data, and technology, to bring lifesaving therapies faster, effectively, and more efficiently to patients.

Transforming Content and Data for Lifesciences

Some of the areas where we make our deepest impacts include driving reuse of content across a number of R&D, Clinical, Safety, Regulatory, Medical, and Commercial documents and industrializing data science by shortening time-to-data/time-to-insights through our enterprise data and analytics pipeline. We can bring significant acceleration to these transformations by curating and unlocking value from the data ecosystem.

A significant component of these accelerations involves managing "dark data" where modern technology coupled with strong domain expertise can transform the large amount of unstructured data in this ecosystem into computable models that underlie the accelerations we provide.

INTELLIGENT CONTENT MANAGEMENT

Intelligent Content Management
 

ENTERPRISE DATA

Enterprise Data

Bringing Cross-disciplinary Teams and Capabilities Together

We bring about an innovative approach with our cross-disciplinary teams that include engineers, data scientists, clinical experts, and pharma subject matter experts along with core technical competencies in natural language processing, machine vision, machine learning, graph data modeling, and enterprise architecture. This approach has allowed us to create a portfolio of IPs that transform Commercial, R&D, and Medical businesses of our customers from the life sciences industry.

Our approach ensures that our customers see success in these transformations by taking advantage of well-tuned machine learning algorithms, best-in-class scalable cloud infrastructure and managed services, and strong domain expertise that result in fit-for-purpose solutions exactly addressing the industry needs.

Join our Technology Innovation Practice
 Join our Technology Innovation Practice

If you are looking to be at the intersection of cutting-edge technology and healthcare, Indegene is the de facto choice for healthcare innovators. Over the next decade, our talent will shape the known-life sciences technology universe. Are you interested in learning more?

PRODUCTS AND OFFERINGS

Virtual Engagement and Account MGMT

Virtual Engagement and Account MGMT

Current content development and production processes are highly manual and siloed with no enterprise-level standardization, significant onshore coordination work, and lack of access to cross-market created content. This increases the time to market, decreases scalability, and substantially increases the overall expense of content creation and content management. In addition, the process of content discovery is complex.

How it Works

Virtual Engagement Manager (VEM), as the name calls out, manages content development and production engagements in an automated, optimized, and accessible manner. Automation of extensive manual processes such as requirement gathering, validation of inputs, pricing and timeline quotes, and asset tagging improves the efficiency and reduces the time to market substantially. At the same time, enterprise-level best practices playbook and asset socialization activities bring enterprise-level standardization, consistency, and accessibility. VEM's content cataloging features enable easier content discovery.

Data-Driven Intelligent Medical Content Creation

Data-Driven Intelligent Medical Content Creation

The current content creation process relies on creating every asset from scratch, thus, making the process slower, costlier, non-scalable and inconsistent, not to mention that every customer sees the same content. For each brand, when there is already so much existing content, it doesn't make sense to redo everything from scratch, thus each time. Our disruptive Virtual Content Creator (VCC) automatically creates several sub-assets in different formats from one master asset and auto localizes the assets for various regions in a faster and economical manner with a data-driven approach to generate relevant, personalized, and consistent content.

How it Works

VCC works by usage of advanced machine vision and machine learning concepts. Our machine vision system automatically slices the content into various logical blocks and classifies them based on several criteria. Our machine learning engine learns the relationships between the slices and how they are assembled in templates to automatically generate effective sub-assets that can be readily used.

 Indegene Intelligent Safety Suite

Indegene Intelligent Safety Suite

Technology

Feature

Application

Voice to Text

Speech-to-text NLP engine for intelligent call-flow assistance ML-driven real-time structured data extraction in pre-defined templates

MI call center AE and PQC case intake

Unstructured to Structured Conversion

NLP/AI-driven data extraction and data population into structured fields from unstructured/semi-structured sources

Data Entry - ICSR, CDM, and DE for client-specific internal process

Data and Text Comparison Tool

Rule-based and AI-based text, data, table, and figure comparison

QC review/proofreading of clinical, regulatory, safety, and medical document

Literature Review Tool

Automated and configurable sourcing of literature articles from the databases; define and manage multiple search strategies; AI-driven literature article categorization, and deduplication technologies and NLP-based search

Data sharing and usability across different functional groups – clinical, regulatory, safety, and medical

Social Media Monitoring Tool

Technology-enabled social media monitoring, NLP-based data collection, AI-based extraction of product and related information from the posts

AE/PQC data collection sentiment analysis, consumer and prescriber perception and influencer engagement

Next GEN Customer Engagement for Life Sciences

Customer Engagement For The 2020s In Life Sciences

Omnipresence is an innovative, enterprise platform for life sciences organizations to create more impactful engagement with healthcare providers, patients, and other customers while simultaneously driving efficiency in their sales, marketing and digital ecosystem. The platform is the result of a strategic alliance between Indegene and Microsoft, deliver unified, simplified and intelligent systems to the industry.

The Power of 5 Clouds

Omnipresence brings together the power of Microsoft Dynamics, LinkedIn, Azure, and Office and verticalizes these class leading technologies for the requirements of the life sciences industry; creating a flexible, multi-tenant, cloud-based life sciences focused platform.

With such a hyper-scale, globally available and secure power, Omnipresence aims to advance life sciences organizations from functionally-created cost and complexity to a customer-focused platform.

Making this shift can enable life sciences organizations to achieve truly transformative experiences with prescribers and patients. Plus a light systems footprint makes it an easy choice for existing Microsoft corporate ecosystems.

Connect with us to learn more