Deep Analytics: Technologies for Humanity, AI & Security by Sumit Chakraborty, Suryashis Chakraborty, Kusumita - HTML preview

Quiz

1. Please analyze following case studies, assess the risks of financial security and suggest suitable technological solutions.

Fraud detection on GST collection

Agents: Business analyst, Auditor, Buying agents, Selling agents; Objectives : Fraud detection on tax (GST) collection;

o Life science / pharmaceuticals

o Retail

o Consumer goods Constraints:

• • • GST collection and implementation mechanism,
    • Availability of information and communication infrastructure, ; System : Analytics, Web enabled ERP & SCM system;

Input : Transactional data (e.g. sales, invoice), inventory data, price;

Procedure:

• Collect sales transactions data;
• Audit sales invoices or bills: Price, GST, Discount;
• Verify authentication, authorization, correct identification, fairness, correctness, transparency and accountability in sales transactions;
• Collect feedback of the buying agents on quality of products.

Output :

• • Loss in tax collection;
  • Detect fraudulent transactions;
  • Detect sales and distribution of fake drugs / poor quality medicines;

Problem 1 : Analytics on fraud detection against GST collection in life-science / pharmaceutical industry;

Research methodology: Primary data analysis; data collected through interviewing a patient;

Observations: Malicious Business models are promoting innovation, production, sales and distribution of fake drugs (with vague compositions) causing serious side effects and flawed medical devices today: is it not medical ragging or bioterrorism? Following observations, feedback and experience are furnished regarding possible side effects and ineffectiveness of following few medicines prescribed by an authorized doctor for the treatment of diabetic problem and pain in swollen scrotum as a result of side effects. Is it really medical ragging or bio-terrorism or sybil attack in sales and distribution of healthcare sector?

Table 8.1 : Primary data used for fraud detection

GST collection details against medicines prescribed :

• • Tenelife-M (Teneligipin 20 mg and Metformin Hydrochloride 500 mg.); Discount : 10%; bill given, no GST mentioned in the bill from medicine shop 1;
  • Icobal-Forte : Discount : 5%; no bill given from medicine shop 2;
  • Dolowin : Given at free of cost at polyclinic; no idea of GST
  • Clavimox 625 : Discount : 5%; no bill given from medicine shop 2;
  • DOTKLOR : Free sample given at free of cost at polyclinic.

Note : The name of doctor, polyclinic and medicine retail outlets, location and details of bills are private data.

Feedback after consuming aforesaid medicines:

• • No relief of pain
  • No reduction in blood sugar level
  • Possible infection in urinary bladder and natural activities
  • Diabetic gangrene (as diagnosed)
  • Physical weakness and deterioration of health conditions of the patient.

Is it not essential in taking necessary corrective actions and precautions in drug discovery and irrational mechanical innovation from the perspectives of sustainable life-science, biotechnology and pharmacy in future ignoring economic pressure in healthcare sector. It is a critical issue of business modeling and system dynamics and Corporate Social Responsibilities (CSR) in formulation of stressless public policy.

Recommended Mechanism Of GST Collection

• Adoption of information system for correct billing with detailed computation of GST and discounts;

o Use computers: desktops / laptops

o Use tablets

o Use smart phones

• Production of valid prescriptions of doctors essential with clarity (e.g. fairness, correctness, completeness)

o Mobile messages

o Exception :

• • • Emergency cases (e.g. strokes) : Self declaration by the patients or their relatives through letters;
    • Critical drugs (e.g. sleeping pills, pain killers) : Self declaration by the patients or their relatives through letters;
• Audit of fraudulent transactions and corruptions, use of fake drugs
• Real time Inventory control through CPFR (Collaborative planning, forecasting and replenishment), S&OP