
Pharma and healthcare
Análise de dados e automação para specialty pharma: equipes comerciais, de acesso do paciente e hubs
Dados de hubs, farmácias especializadas e acesso do paciente, unificados e prontos para relatórios.
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As equipes de specialty pharma lidam com mais dados do que quase qualquer outra área: feeds de dispensação e status de farmácias especializadas, registros de casos de hubs, claims, atividade de visitas no CRM, dados de prescrição e formulários de operadoras. A maior parte disso ainda se encontra no Excel, refeita à mão toda semana, e os números raramente batem entre marca, acesso e equipe de campo.
A Greenwolf constrói a camada por baixo: identificadores limpos e MDM para HCPs, HCOs, pacientes e operadoras, pipelines automatizados de cada fonte e dashboards que as equipes comerciais, de serviços ao paciente e a liderança leem da mesma forma. O trabalho é conduzido por profissionais seniores, com um fundador que fez carreira em consultoria de operações comerciais farmacêuticas na ZS, então partimos dos KPIs que a sua equipe de marca já discute, não de um modelo em branco.
Se quiser ver primeiro como pensamos, comece pelos KPIs de vendas farmacêuticas que acompanhamos, pelos KPIs de acesso do paciente ou pelas ferramentas de IA que valem a pena na indústria farmacêutica.
01
Com quem trabalhamos
Equipes de acesso do paciente e SP/HUB
Menos trabalho manual com casos, relatórios estáveis e uma visão única de cada paciente, do encaminhamento à primeira dispensação e às renovações.
- Tempo até a terapia e abandono
- Verificação de benefícios e status de autorização prévia
- Conciliação entre hubs e farmácias especializadas
Operações comerciais
Atividade dos representantes, dados de CRM e insights sobre HCPs em um só lugar, com um desempenho por território em que todos confiam.
- Análise de visitas e amostras no Veeva CRM
- Alinhamento de territórios e planejamento de visitas
- Relatórios automatizados para campo e marca
Análise e insights de pacientes
Fluxos de dados estruturados e dashboards de jornada que respondem a perguntas sobre adesão, abandono e comportamento dos prescritores.
- Jornada e persistência do paciente
- Identificação de pacientes e caminhos de encaminhamento
- Segmentação e priorização de prescritores
Assuntos médicos e equipes de marca
Registro de insights, atividade com KOLs e acompanhamento de lançamentos sem mais uma planilha para manter.
- Registro e classificação de insights médicos
- Acompanhamento de lançamentos e desempenho da marca
- Resumos executivos que se atualizam sozinhos
02
O que construímos
Sistemas de automação e fluxos de trabalho
- Automação de operações SP/HUB
- Ingestão e limpeza de dados de CRM
- Relatórios comerciais automatizados
- Fluxos em Excel transformados em sistemas
- Alertas, gatilhos e verificações de qualidade de dados
Gestão de dados e MDM
- Masterização de HCPs e HCOs
- Hierarquias de produtos, operadoras e territórios
- Vinculação de identificadores entre sistemas
- Camadas de validação antes de qualquer relatório
- Pipelines limpos alimentando todos os dashboards
Dashboards farmacêuticos e IA
- Dashboards de desempenho comercial
- Dashboards de SP/HUB e acesso do paciente
- Dashboards de jornada do paciente
- Modelos de next best action e priorização
- Assistentes de IA sobre os seus próprios dados
Case resumido: automação dos relatórios de acesso do paciente
Um provedor de terapias especializadas precisava estabilizar seus relatórios de SP/HUB, unificar os dados da jornada do paciente e parar de refazer relatórios à mão no Excel.
O que construímos: identificadores limpos e uma estrutura de MDM entre as fontes, pipelines de casos automatizados, fluxos de relatórios padronizados e dashboards que se atualizam sozinhos.
Resultado: de 60 a 80 por cento menos trabalho manual, relatórios que pararam de quebrar e uma visão clara da jornada do paciente para a liderança.
04
Como tratamos dados farmacêuticos e de pacientes
05
Como funciona um projeto
Avaliar
Mapeamos seus fluxos de trabalho, fontes de dados e os relatórios que consomem mais horas, e definimos juntos os KPIs que importam.
Estruturar
Identificadores, hierarquias e bases de MDM, para que um paciente, prescritor ou conta signifique a mesma coisa em todos os sistemas.
Automatizar
Pipelines recorrentes e verificações de qualidade substituem a reconstrução semanal no Excel.
Reportar
Dashboards com KPIs padronizados para marca, acesso, campo e liderança.
Estabilizar
Seguimos junto para manter o sistema confiável à medida que fontes de dados, lançamentos e territórios mudam.
06
Perguntas que equipes farmacêuticas nos fazem
Com quais fontes de dados vocês trabalham?
Onde fica a equipe de vocês e em que horário trabalham?
Como vocês lidam com dados de pacientes e com a HIPAA?
Precisamos substituir nosso CRM ou data warehouse?
Vocês trabalham só com a indústria farmacêutica?
Conte qual relatório a sua equipe refaz toda semana
Comercial, acesso do paciente ou análise de pacientes: descreva como funciona hoje e retornaremos com o que é preciso para automatizá-lo.
Resposta de um consultor, normalmente em até um dia útil.
Analytics Comercial e de Pacientes para Farma
Tudo o que temos sobre analytics de farmácia especializada
Serviços ao paciente, dados de hub e farmácia especializada, market access e analytics comercial para farma.
Serviços
Análise de jornada do paciente: KPIs, dashboards e como estruturar
Análise de jornada do paciente para farma: etapas da jornada, 24 KPIs com fórmulas, quatro dashboards de exemplo, fontes de dados e método passo a passo.
Consultoria em análise comercial farmacêutica
Análise comercial farmacêutica construída sobre dados de CRM, prescrição, farmácia especializada e pagadores: cadastros de HCP limpos, relatórios semanais automatizados e dashboards de marca.
Análise de dados de farmácias especializadas e integração de dados de hubs
Análise de dados de farmácias especializadas: ingerimos e validamos feeds de SPs e hubs, ligamos pacientes entre fontes e criamos dashboards de tempo até a terapia e abandono.
Integração Veeva CRM: dados e analytics
Integração Veeva CRM e analytics: dados do Vault CRM e do Veeva Network unidos a dados de farmácia especializada, hub, claims e dados sindicalizados, além da conciliação da migração.
Guias e artigos
Medical Affairs Analytics: The KPIs, Data and Dashboards That Prove MSL Impact
Medical affairs analytics explained: the MSL KPIs worth tracking, the data behind them, a dashboard layout and a build plan that shows medical impact.
Payer Mix in Specialty Pharma: Lives, Patients, Units or Dollars, and Why the Answer Changes Your Net Price
Why payer mix differs between brand, access and finance, the four ways to count it, and the data rules that make one payer mix hold up in specialty pharma.
Copay Program Analytics: The KPIs, Data and Build Guide for Pharma Brands
Copay program analytics for pharma: the KPIs to track, how to spot accumulators and maximizers in claims data, and how to link copay to SP and hub data.
HCO Hierarchy in Pharma: How to Map Health Systems, IDNs and Sites of Care So Account Reporting Holds Up
Why one health system looks like many accounts across CRM, specialty pharmacy and claims data, and how to build an HCO hierarchy account teams can trust.
Market Access Analytics for Pharma: What to Measure, Build or Buy
Market access analytics explained: the questions it answers, the data each needs, a worked pull-through example, and when to buy a platform or build your own.
Direct-to-Patient Pharma Analytics: KPIs, Data and Build Plan
Direct-to-patient pharma analytics: the KPIs from visit to refill, where each number comes from, a worked funnel example, and how to build it in weeks.
Pharma Omnichannel Analytics: The Data Model, KPIs and Measurement That Prove Channels Work
Pharma omnichannel analytics explained: the HCP data model, a KPI ladder from activity to NBRx, a test-and-control method, build order and compliance limits.
Pharmaceutical Forecasting: How to Choose the Method, Build the Model and Trust the Number
Pharmaceutical forecasting explained: trend, epidemiology and patient-flow models, a worked example, IRA price inputs and when to outsource.
Veeva Compass vs IQVIA: Which Prescriber and Patient Data Fits Your Brand in 2026
Veeva Compass vs IQVIA compared product by product: published figures, licensing, what the 2025 settlement changed, and a test to run before you switch.
NBRx vs NRx vs New Patient Starts: Which New Patient Number Your Specialty Brand Should Trust
How NRx, NBRx and new patient starts differ, why they disagree for specialty brands, and the data rules that make one new patient number hold up.
PDC vs MPR in Specialty Pharma: Which Adherence Measure to Trust, and the Data Rules Behind It
How PDC and MPR measure adherence, why MPR can read above 100 percent, and the data rules specialty brands need before trusting either number.
Payer Hierarchy in Pharma: How to Map Plans, PBMs and Channels So Access Reporting Holds Up
Why the same payer appears under many names across hub, SP and claims data, and how to build a payer hierarchy access and commercial leaders can trust.
Sunshine Act Reporting for Pharma and Medtech: 2026 Rules, Data and Software
Sunshine Act reporting for 2026: the $13.82 and $138.13 thresholds, the March 31 deadline, a worked example, and how to choose aggregate spend software.
Pharma Incentive Compensation: Plan Design, Data and Administration in 2026
Pharma incentive compensation in 2026: benchmark pay caps, a worked payout example, the IC data pipeline, and whether to outsource, buy software or build.
Therapy Discontinuation Reasons in Specialty Pharma: Why "Other" Is Your Biggest Category, and How to Fix the Reason Codes
Why discontinuation reasons from hubs and specialty pharmacies end up as other or unknown, and how to build a reason model leaders can act on.
Specialty Pharmacy Data Aggregator: How to Choose One, and When You Do Not Need One
How to choose a specialty pharmacy data aggregator: what it should cover, an RFP scorecard, aggregator vs in-house, data agreement terms and costly mistakes.
Snowflake vs Databricks for Pharma: Which Platform Fits Your Commercial Data in 2026
Snowflake vs Databricks for pharma: list prices, a worked monthly cost, HIPAA set-up, how IQVIA and Veeva data arrive, and which fits your team.
Pharma Launch Analytics: Metrics, Data and a 20-Week Build Plan
Pharma launch analytics for specialty brands: the metrics that matter, which data answers each, costs, a 20-week build plan and when not to buy a platform.
Gross to Net in Specialty Pharma: The Waterfall, the Accrual Lag and the Data Behind It
What gross to net means for a specialty brand, the deductions in the waterfall, why accruals lag, and the unit level data finance and access teams need.
Komodo Health vs IQVIA: Which Patient Claims Data Fits Your Brand in 2026
Komodo Health vs IQVIA: published data figures, open vs closed claims, which fits your brand, and a test to run on both before you sign a data contract.
Veeva OpenData vs IQVIA OneKey: How to Choose Your HCP Reference Data in 2026
Veeva OpenData vs IQVIA OneKey: published coverage figures, what the 2025 IQVIA-Veeva deal changed, a scorecard and how to test both before you sign.
Active Patient Definition in Specialty Pharma: The Rules Behind the Number on Your Dashboard
How to define an active patient in specialty pharma: grace periods, days supply, as-of dates, transfers and free drug, and why each rule moves the count.
Specialty Pharmacy Status Codes: How to Map SP and Hub Statuses Into One Patient Status Model
Every specialty pharmacy and hub sends its own status codes. How to map them into one patient status model leadership can read and act on.
Veeva Vault CRM vs Salesforce Life Sciences Cloud: How Mid-Sized Pharma Should Choose
Veeva Vault CRM vs Salesforce Life Sciences Cloud for mid-sized pharma: dates, list prices, a decision table, the data migration work and when to wait.
Pharma Commercial Data Warehouse: How to Build, Buy or Outsource One
A buyer's guide to the pharma commercial data warehouse: the data feeds, build vs buy vs managed, launch timelines, cost drivers and an RFP checklist.
Patient Tokenization in Specialty Pharma: What It Links, What It Cannot, and What to Check
How patient tokens link hub, specialty pharmacy and claims data without sharing identities, where matches fail, and what leaders should check.
Automating the Weekly Patient Services Report: Why It Is Still Rebuilt by Hand, and How to Stop
Why the weekly hub and specialty pharmacy report is still rebuilt by hand in specialty pharma, what it costs, and how to automate it in five steps.
Prescription Abandonment vs Reversal in Specialty Pharma: Definitions That Hold Up in a QBR
Abandonment, reversal, rejection and discontinuation are four different events. How to define and measure each from SP, hub and claims data.
10 Best AI Tools for Patient Journey Analytics
Patient journey analytics platforms compared: 10 AI tools that map referral to refill, where each fits in pharma, and when to build your own.
10 Best AI Tools for Hub Services Automation
Explore the 10 best AI tools for hub services automation, and how they streamline patient access, prior authorization and support workflows.
Best 10 AI Tools for Prior Authorization Support
AI prior authorization software compared: 10 tools that automate PA submission, status tracking and approvals, and which teams each one suits.
10 Best AI Tools for Patient Identification in Specialty Pharma
Discover the 10 best patient identification AI tools for specialty pharma, and how they use EHR, claims and real-world evidence to find patients.
AI to Reduce Hub Processing Time in Pharma
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AI for Patient Finding and Referral Pathway Analysis
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Understanding the Patient Journey in Specialty Pharma
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10 Best AI Tools for Medical Affairs Teams
Medical affairs software and AI for MSL, insights, KOL, literature and medical information teams: 10 tools by job, compliance, a 30-day pilot and FAQ.
10 Best AI Tools for Patient Onboarding in Pharma
Discover the 10 best AI tools for patient onboarding in pharma, and how they automate enrollment, insurance verification and documentation.
10 Best AI Tools for Patient Support Programs
Discover the 10 best AI tools for Patient Support Programs in pharma, and how they automate engagement, onboarding and therapy adherence.
10 Best AI Tools for Patient Adherence and Persistence
Medication adherence software and patient adherence solutions compared: 9 vendors by category, PDC and persistence explained, and a pilot to run first.
Best 10 AI Tools for Life Sciences Industry
AI for life sciences in 2026: 10 tools for knowledge search, content creation and analytics, what each does best and how to choose one.
AI to improve HCP targeting
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AI for Veeva CRM Analytics and Next Best Action
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AI for Call Planning and Territory Alignment in Pharma
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Patient Analytics Dashboard: Turning Healthcare Data Into Actionable Intelligence
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Commercial analytics problems pharma teams still struggle with in 2026
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Best Pharma KPIs for Patient Support and Hub Programs
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What Specialty Pharmacy Data Is and How Pharma Should Use It
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How to Integrate Specialty Pharmacy, Hub, and Claims Data for a Unified Patient View
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Patient Access Dashboards: KPIs to Track Time to Therapy and Conversions
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Pharma Commercial Analytics: KPIs Every Brand Team Should Track
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Why Every Specialty Pharma Needs a Centralized Data Hub
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The 60% Blind Spot: Why Most Patient Services Data Never Informs Decisions
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The Access KPI Misalignment: Tracking What Looks Good vs. What Moves the Needle
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