Author
Avishkar Hase
Data Analyst.
16 articles
AI to Reduce Hub Processing Time in Pharma
AI to Reduce Hub Processing Time in Pharma Pharmaceutical hub services function as the operational backbone of patient access programs. They manage benefits verification (BV), prior authorization...
AI for Patient Finding and Referral Pathway Analysis
AI for Patient Finding and Referral Pathway Analysis Healthcare systems generate enormous volumes of clinical, operational, and financial data yet many organizations still struggle to identify...
Understanding the Patient Journey in Specialty Pharma
Understanding the Patient Journey in Specialty Pharma In specialty pharmaceuticals, the patient journey represents the complete lifecycle a patient goes through from the moment a condition is...
AI to improve HCP targeting
AI to Improve HCP Targeting: A Practical Guide for Modern Pharma Commercial Teams Healthcare professional (HCP) targeting has always been a core function in pharmaceutical commercial strategy....
AI for Veeva CRM Analytics and Next Best Action
AI for Veeva CRM Analytics and Next Best Action Commercial teams in life sciences operate in one of the most data rich yet decision complex environments in any industry. Every interaction with...
AI Use Cases for Pharma Commercial Operations
AI Use Cases for Pharma Commercial Operations Pharmaceutical commercial operations sit at the intersection of sales, marketing, market access, analytics, and customer engagement. These functions...
AI for Call Planning and Territory Alignment in Pharma
AI for Call Planning and Territory Alignment in Pharma Pharmaceutical commercial teams operate in an environment where precision, timing, and resource allocation directly influence market...
Patient Analytics Dashboard: Turning Healthcare Data Into Actionable Intelligence
Patient Analytics Dashboard: Turning Healthcare Data Into Actionable Intelligence A patient analytics dashboard is a centralized, interactive reporting layer that consolidates clinical,...
Master Data Management in Pharma: Why It Matters More Than Ever
Master Data Management in Pharma: Why It Matters More Than Ever The pharmaceutical industry is undergoing a structural shift. Digital therapeutics, omnichannel engagement, real world evidence,...
Types of Master Data Management (MDM): Within Source vs Across Source
Types of Master Data Management (MDM): Within Source vs Across Source As organizations mature in their data journey, Master Data Management (MDM) becomes essential for maintaining consistency...
Types of Matching in MDM: How Systems Identify
Types of Matching in MDM: How Systems Identify Duplicate records are one of the most persistent challenges in enterprise data management. Types of Matching in MDM play a critical role in resolving...
Survivorship in MDM: Creating the Golden Record
Survivorship in MDM: Creating the Golden Record Most organizations think Master Data Management is about matching and de duplication. In reality, survivorship is where MDM delivers business value....
Common Data Quality Challenges in Pharma MDM (and How to Fix Them)
Common Data Quality Challenges in Pharma MDM (and How to Fix Them) In pharmaceutical organizations, Master Data Management (MDM) sits at the center of analytics, commercial operations, regulatory...
Patient Access KPIs
This is where Patient Access KPIs (Key Performance Indicators) become essential. A well designed KPI set helps Market Access, Patient Services, and Commercial teams monitor the health of the...
What Specialty Pharmacy Data Is and How Pharma Should Use It
In the ecosystem of patient access, specialty pharmacies are essential. Prescription intake, benefits verification, prior authorization coordination, dispensing, refills, and adherence support are...
Patient Access Dashboards: KPIs to Track Time to Therapy and Conversions
Patient Access Dashboards: KPIs to Track Time to Therapy and Conversions In today’s healthcare landscape where patient experience, treatment speed, and operational efficiency matter more than ever...