Dhruv Aacharya

Commercial analytics problems pharma teams still struggle with in 2026

Commercial analytics problems pharma teams still struggle with in 2026 Pharma organizations have more data than ever before. Sales activity, prescription trends, access metrics, patient services data, claims, and payer insights are widely available across vendors and internal systems. Yet in 2026, many commercial teams still operate with partial visibility, delayed insights, and disconnected decision

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How to Integrate Specialty Pharmacy, Hub, and Claims Data for a Unified Patient View

How to Integrate Specialty Pharmacy, Hub, and Claims Data for a Unified Patient View Specialty pharma brands depend on accurate, complete, and timely insights to optimize patient access, speed therapy initiation, and ensure long term adherence. But achieving this requires a full, end to end picture of the patient journey from the moment a prescription

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Best Pharma KPIs for Patient Support and Hub Programs

Best Pharma KPIs for Patient Support and Hub Programs Patient Support Programs (PSPs) and Hub services play a crucial role in today’s specialty pharma landscape. From onboarding patients to navigating prior authorizations, financial assistance, refills, and adherence journeys, hubs are the operational backbone that drives therapy initiation and long term persistence. But despite handling massive

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Pharma Commercial Analytics: KPIs Every Brand Team Should Track

Pharma Commercial Analytics: KPIs Every Brand Team Should Track Pharma commercial teams operate in a highly competitive, fast moving market where every decision from targeting the right HCPs to optimizing patient support programs depends on accurate, timely data. Yet despite having access to massive datasets, brand teams often struggle to turn that information into actionable

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Why Every Specialty Pharma Needs a Centralized Data Hub

Why Every Specialty Pharma Needs a Centralized Data Hub In the world of specialty pharma, data is everywhere coming from prescribers, pharmacies, patient support programs, payers, and distribution networks. Yet, most organizations struggle to see the complete picture. Insights live in silos, reports take weeks to compile, and critical business decisions are often made with

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The Access KPI Misalignment: Tracking What Looks Good vs. What Moves the Needle

The Access KPI Misalignment: Tracking What Looks Good vs. What Moves the Needle In today’s pharma landscape, patient access is one of the most critical levers for success. Yet, too often, the industry gets caught up in tracking the wrong metrics. Teams celebrate “good looking” numbers like high call volumes or hub enrollments, but these

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The 60% Blind Spot: Why Most Patient Services Data Never Informs Decisions

The 60% Blind Spot: Why Most Patient Services Data Never Informs Decisions Pharmaceutical companies today invest heavily in patient services programs covering access support, copay assistance, adherence monitoring, and more. These initiatives generate mountains of patient level data, ranging from prescription fill rates to call center interactions. Yet, research shows that up to 60% of

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Automate Candidate Sourcing with AI

Automate Candidate Sourcing with AI Hiring the right talent has always been one of the biggest challenges for businesses. Traditional candidate sourcing is time consuming, often requiring recruiters to sift through hundreds of profiles to find a handful of suitable candidates. This is where Artificial Intelligence (AI) transforms the game. By automating candidate sourcing, organizations

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Link EMR/EHR Data with Insurance Claims Through Automation

Link EMR/EHR Data with Insurance Claims Through Automation Healthcare providers and insurers often face the challenge of fragmented data. While Electronic Medical Records (EMR) and Electronic Health Records (EHR) store detailed patient information, insurance claim systems typically operate separately, leading to inefficiencies, errors, and delays. By automating the connection between EMR/EHR systems and insurance claims,

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