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Automating Medical Claims Processing for a Leading Broker

Solution

Dociphi, Quantiphi’s AI-powered intelligent document processing platform, transformed claims processing, by eliminating the need for the reviewer to manually process each and every claim document

  • Dociphi seamlessly ingested and classified invoices and medical records, used proprietary best-in-class machine learning models to extract information from a wide range of document formats and templates, even from handwritten documents
  • Dociphi’s proprietory models intelligently mapped the Macro Guarantees and ICD codes to each claim submission based on extracted data from the documents such as diagnosis, medical test, body part, etc
  • With Dociphi’s smart comparison screens to compare the extracted data from docs with system data and highlight all the discrepancies, reviewers can close claims faster.

Results

  • Creation of a comprehensive AI-driven claims processing workflow, that supports data extraction from complex tables & hierarchical data
  • ML Powered ICD and Macro Guarantee mapping
  • Improved claims handling efficiency for accelerated claims turnaround time
  • Reduction of manual efforts for claim adjusters thereby reducing operational cost

Transforming Customer Experience with GenAI Enabled Chatbot

Solution

Quantiphi successfully deployed a generative AI-enabled chatbot, powered by baioniq, which efficiently mitigates delays in responding to technical inquiries. The solution entails grasping client requirements, tailoring baioniq with relevant technical content, seamlessly integrating it into the support platform, and configuring an intuitive interface. It harnesses document analysis and real-time updates, incorporating an escalation mechanism for complex issues. Continuous enhancement is ensured through feedback and performance monitoring, with a strong focus on security and privacy compliance. This methodology enables the client to elevate customer support, reduce response times, and promptly deliver precise information to customers encountering technical challenges.

Results

  • Swift resolution of customer queries through the development of a GenAI chatbot.
  • Utilization of diverse document formats and chat history, enabling the chatbot to deliver accurate responses.
  • Introduction of supplementary functionalities enhances accessibility to information, further improving user experience.

Enhancing Learning Management in Life Sciences with baioniq

Solution

The solution entails replacing the Chat GPT 4-based assistant with Quantiphi’s baioniq on the client’s AWS infrastructure. It addresses inquiries from sales representatives regarding medication dosage and side effects by analyzing uploaded documents. Users span across various roles including Representatives, Managers, MSLs/Clinical Specialists, across departments such as Sales, Marketing, CL&D, and Med Affairs.

During the Proof of Concept phase, baioniq is deployed, integrated with S3 and ElasticSearch, and connected to the client’s environment via APIs. Management of licensing, performance monitoring, and User Acceptance Testing (UAT) will be overseen. Subsequent phases involve setting up APIs for baioniq in the client’s mobile app and Salesforce, onboarding customers, and conducting diverse UAT sessions with document uploads.

Results

  • Enhanced Real-time Responses
  • Increased Data Security and Privacy
  • Optimized Platform Performance

Driving Student Learning Outcomes via Content Recommendation Engine

Solution

 Quantiphi leveraged deep learning techniques to craft knowledge-tracing models aimed at shaping student learning achievements through a recommendation engine. The recommendation engine tracks students’ interactions with diverse learning resources over time, factoring in variables such as individual learning aptitudes and exercise complexities. Using these insights alongside students’ learning abilities, the recommendation engine proposes subsequent learning exercises and adjusts dynamically according to student proficiency levels.

The solution is built on AWS and leverages several AWS services. The recommendation engine is also integrated with their existing learning application and is designed to give the client complete control and visibility. 

Results

  • Improved personalized learning experiences for students
  • Increased engagement with learning materials

Enhancing Literacy Support Through an Advanced Browser Based Tutoring Platform

Solution

Quantiphi, in collaboration with AWS Professional Services, developed an innovative web application solution that transformed the tutoring experience for the client. Through seamless integration of video conferencing, interactive tools like freehand drawing and virtual flashcards, and robust ADA compliance features, the platform ensures an engaging and accessible learning environment for students.

Moreover, our solution streamlines session management by facilitating seamless scheduling and offering tutors enhanced visibility through Salesforce integration. Automated communication features ensure tutors and guardians stay informed, while comprehensive reporting functionalities enable effortless tracking of student progress and performance.

Results

  • Improved session efficiency through seamless tutoring experience.
  • Enhanced student progress tracking capabilities.
  • Increased tutor satisfaction with improved engagement and productivity.

AI Assistive Clinical Study Research Assistant

Solution

  • Quantiphi developed an AI-powered clinical study research assistant utilizing LLMs, revolutionizing the protocol authoring process. By seamlessly integrating with external sources like clinicaltrials.gov and PubMed, as well as internal documents such as historical protocols investigator brochures and design concept sheets, the solution streamlined the collection and summarization of pertinent information.
  • This approach addressed the client’s primary pain points of a time-consuming (more than 25 weeks) manual protocol authoring process by a team of 50+ members, variability in references, empowering users to generate concise, context-driven content for different protocol sections efficiently.
  • The solution’s competitive advantage lies in its ability to deliver comprehensive and tailored information swiftly, enhancing the overall efficiency and effectiveness of protocol authoring.

Results

  • The solution quickly assimilated information, streamlined content gathering, and facilitated efficient sharing through MS Word and CSV export compatibility.
  • Users reduced manual effort of protocol development by more than 10 weeks through contextual dialogue with the solution, obtaining desired responses promptly with specific inquiries.
  • Integration with internal docs and external authentication empowered client to seamlessly expand usage across various therapeutic areas.
  • Enhanced productivity, reduced turnaround time, and improved accuracy were observed, leading to a more streamlined and effective protocol authoring process which may potentially lead into saving more than $50M per trial

Elevating Marketing Operations with a Personalized Customer Notification Platform

Solution

  • Quantiphi elevated the PoC platform to a Production-grade solution, enhancing features and UI for an enriched user experience and streamlined marketing process.
  • Developed pipelines for additional notifications data and integrated new data attributes, creating a comprehensive solution for customer and marketing needs.
  • Strengthened the segmentation module, enabling the extraction and autosaving of audience reports for internal processing.
  • Implemented a single-level approval workflow for both immediate and scheduled notifications, ensuring content approval from the internal team hierarchy before reaching the identified customers. Additionally, a post-production hyper care plan was devised for ongoing support and bug resolution.

Results

  • Built a foundation to enable data-driven marketing analytics
  • Developed a 360 Customer View

“Quantiphi has been instrumental in helping us develop a plan and build an architecture to automate our online customer verification process. Given our complex system, Quantiphi managed to understand the process and design a solution that catered to our needs. The team managed to adapt to the changing needs and suggest tried and tested solutions while enhancing the overall solution.”

Prinu Pappachan, Manager, BI & Technology Enablement

Driving Data-driven Decision-making With Real-time Digital Marketing Data Hub

Solution

  • Quantiphi aided the client by constructing data pipelines capable of automating and scheduling the ingestion and transformation of data from various sources to Google Cloud.
  • Additionally, Quantiphi seamlessly integrated the data platform with a BI Tool (DOMO), enabling rapid dashboard creation and visualization to support descriptive and diagnostic analytics.

Results

Established the framework for implementing data-driven marketing analytics

Transforming Media Publishing Operations with Enhanced Audience Insights

Solution

  • Quantiphi established a centralized Customer Data Warehouse, integrating data from Google Analytics, Google Ads Manager, and Sailthru into Google BigQuery seamlessly.
  • Quantiphi facilitated the client in unifying data from various sources, deriving actionable insights. The amalgamated data was then used to create interactive Looker dashboards, providing visual insights into ad performance metrics and customer behavior.
  • The comprehensive solution empowered the client to optimize advertising strategies and enhance audience understanding through informed decision-making, leveraging interactive dashboards and visualizations.

Results

  • Looker dashboards provide a comprehensive view of customer insights and ad performance, streamlining analytics
  • The unified data view from various marketing tools establishes a single, reliable source of truth, ensuring consistency and accuracy in reporting and analysis

“We were starting from literally ground zero. We were very much focused on building a house, but we hadn’t really set the foundation or any of that work involved. I think the work that we did here with you all will be a lot more impactful especially down the line. So, I really want to just say thank you to everyone. I know this took a lot of creative solution engineering as well to get to the output. So a really heartfelt thanks to everybody on Quantiphi’s side.”

Will Federman, Senior Director, Product Strategy & Innovation

50% Faster Analytics via Data Warehouse Implementation

Solution

Building Data Warehouse Pipeline For Enterprise Analytics

Quantiphi team meticulously designed and implemented a comprehensive data pipeline, encompassing ingestion, transformation, staging, and warehouse layers. Leveraging DMS, Quantiphi efficiently migrated data from the Aurora data source to S3 and applied essential transformations using Glue scripts. Following this, the data was transferred to the Staging layer (Redshift) and organized into Facts and Dimensions tables, as initially defined during the initiation phase. With the warehouse layer in place, a reporting layer was constructed, employing materialized views to support Quicksight dashboards, henceforth facilitating downstream analytics.

Results

  • Single source of truth for data is created by consolidating the information across individual tables and merging the historical information
  • Scalable and secure solution which ensures new data source (post company acquisition) can be added to the warehouse
  • Consolidated dashboards created with governace enabled for materilized views to ensure singularity of reporting data tables
  • Enabled business teams to publish their segregated business insights, allowing them to generate their own reports.
  • Enabled QBR/MBR Leadership reporting