India's largest platform and marketplace for GCCs & AI

Sign in

India's largest platform and marketplace for GCCs & AI
Become a Thought Leader
Become a 3AI Member

Sign in

3AI Digital Library

< Go Back

Site of Care Shift Analysis

3AI September 10, 2020

Leading specialty bio-pharma company

Problem Statement

  • Company wanted to analyze the location of treatment of patients for one of its Immunology products. Since the company has to provide greater discounts to certain type of hospitals, if more patients have treatments in hospitals the revenue from the drug decreases.
  • Company asked us to conduct an exploratory analysis to find out if there was a shifting trend and to provide insights on the shift.

Analytics Led Approach

  • Leveraged the WK claims data to analyze the patient activity.
  • Measured the percentage of treatment at various locations over time. Further analyzed the profile of treatments by payer type, region, patient age group, patient gender and new/continuing treatment.
  • Analyzed at the problem from perspective of both physicians and patients to identify the key drivers of shift.
  • Performed physician profiling for physicians who practiced in multiple locations.

Business Impact

  • The results confirmed an increase in the patient treatments in hospitals.
  • Understood the region and the payer types that are observing a shift.
  • Found that it is the physicians practicing in multiple locations (and not the patients) who are influencing the shift to hospitals.
  • Discovered the profile of the physicians who are likely to drive a shift to hospitals.

Critical Success Factors

  • Identified and profiled the physicians who were influencing the shift to hospitals
  • Compared the results for company’s drugs to its competitors going the extra mile to give a glimpse of market positioning.

    3AI Trending Articles

  • Automated Quality Excellence Framework for Data Science Modelling

    Featured Article: Author: Abhishek Sengupta, Walmart Global Tech India Introduction:  A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]

  • Global Captive Centers – The true enablers of Collaboration (Part-1)

    Featured Article: Author: Vinodh Ramachandran, Neiman Marcus Group Through my experience working for large retail GCCs I. have observed that most retailers, in addition to having a central data & analytics team (typically within tech rolling up to the CIO), also have analytics teams within the businesses running independently and managing all their data, reporting […]

  • Google investigates ethical AI team member over sensitive data handling

    Google’s diversity efforts have been questioned by employees and adds to years of angst, including several resignations and firings in the AI department. Alphabet Inc’s Google is investigating a member of its ethical AI team and has locked the corporate account linked to that person after finding that thousands of files were retrieved from its […]

  • Infosys shifting from IT services to hyper automation and analytics

    Infosys is preparing for the AI revolution, a shift from IT services to hyper automation and analytics IT major Infosys has been making progress in exponential technologies such as Artificial Intelligence (AI), a significant shift from the usual IT services. This has been further accelerated by the lockdown and subsequent need to adopt AI and cloud based […]