Capital S Consulting
Salesforce CRM for Life Sciences
Pharmaceutical, medical device, and rare disease firms buy lab and claims data but rarely take full advantage of it. We integrate it into Salesforce so you build better provider relationships, reach the right patients faster, and improve outcomes
CRM Built for How Life Sciences Teams Actually Work
Most life sciences firms already pay for the data that should be driving their commercial work. Lab results, claims patterns, and prescribing behavior sit in platforms like IQVIA, Komodo Health, and Prognos, but the signals rarely reach the rep in a usable form. So teams still target providers by specialty and geography, conversations stay generic, and patients who need a therapy go unidentified. Capital S configures Salesforce for life sciences and integrates that purchased data into the workflow, so commercial, medical, and field teams act on real signals instead of static lists.
One Platform Across Life Sciences
Pharmaceutical, medical device, and rare disease teams each have different workflows and the same underlying need: connect the data you already have to the people who act on it
Pharmaceuticals
Find the right patients faster with AI-driven identification from real-world data, run commercial and medical teams in one platform, and keep the compliance firewall intact. Explore pharmaceutical CRM
Medical Devices
Track every device across its lifecycle and every patient who uses one, from rep visit and procedure through delivery, training, and post-market surveillance. Explore medical device CRM
Rare Disease
Stand up your first commercial CRM, integrate the real-world data that surfaces a small, scattered patient population, and give medical affairs equal standing with commercial from day one. Explore rare disease CRM
Diagnostics & Biotech
Connect lab signals, ordering providers, and account relationships so growing teams act on diagnostic data instead of chasing generic territory lists
Find the Right Patients Faster
Patients show precursor signals in lab data, claims activity, and procedure codes months before a confirmed diagnosis. We integrate the real-world data platforms you already license and use AI to learn which patterns predict a patient who needs your therapy, then surface the providers treating them as qualified leads
Real-World Data Integration
We stand up an AWS data warehouse as the integration layer and build the ETL pipelines that validate and normalize your lab, claims, and prescription data from IQVIA, Komodo Health, Prognos, and Symphony Health before it flows into Salesforce, with tokenization that protects patient identity. Providers become unified profiles enriched with lab signals, claims patterns, and payer intelligence. See how we approach data integration
AI Lead Scoring
Machine learning analyzes patterns across thousands of patient journeys to predict eventual diagnosis, creating qualified leads instead of static territory lists. One rare disease firm used this approach to identify more than $30 million in incremental revenue opportunities. Read the case study
Dynamic Territory Planning
Assign territories based on where patient signals actually appear, not arbitrary geography. Field teams reach qualified providers earlier in the diagnostic journey, when treatment is most effective and outcomes improve
Better Provider Relationships
When data reaches the rep, the conversation changes. Instead of broad disease education, field and medical teams engage providers around the patients in front of them, with full history and context in one place
Unified Provider Profiles
Every detailing visit, call note, sample, and medical inquiry lives in one record. Reps and medical science liaisons see the full relationship, so no provider falls through the cracks between teams
Data-Driven Engagement
Automated alerts fire when diagnostic markers appear in a provider's patient population, so outreach is timely and specific rather than a scheduled cycle of generic touches
Medical and Commercial Separation
Role-based and field-level security keep medical content invisible to commercial teams while both share the same provider contact details. Audit trails prove the separation regulators require
Track Every Device and Every Patient
For device firms, the same connected approach follows the product through its full lifecycle and every patient who uses one: from rep visit and procedure through delivery, training, maintenance, and post-market surveillance. Field sales, operations, and quality work from the same data. Explore medical device CRM
Why Life Sciences Firms Choose Capital S
We configure Salesforce around your operations and build the integrations ourselves, so the data you already buy turns into provider relationships, patient identification, and outcomes you can measure
Regulated Industry Experience
We design workflows that respect FDA requirements, HIPAA, medical and commercial separation, and audit documentation from the start, rather than retrofitting compliance after launch
Real-World Data Integration We Build Ourselves
We connect lab, claims, and prescribing platforms directly into Salesforce through custom integrations, so the signals you license actually reach the people who act on them
Rare Disease and First-Launch Focus
Smaller patient populations, complex diagnostic journeys, and lean teams need systems built to match. We stand up first commercial CRMs that find patients now and scale with the therapy
Frequently Asked Questions
What is a life sciences CRM and why does it matter?
A life sciences CRM is a customer relationship management system configured for the way pharmaceutical, medical device, and diagnostics teams actually work: provider engagement, real-world data, sample and device tracking, medical affairs, and regulatory compliance.
It matters because generic CRM treats a physician like any other sales contact. A life sciences CRM connects the lab and claims data you already buy to the workflow, so teams reach the right patients, engage providers with context, and document everything regulators require.
How do we choose the right life sciences CRM?
Start with the workflows that matter most: patient identification, provider engagement, medical and commercial separation, and compliance. Map how each should work before naming a platform.
Most life sciences firms get further with Salesforce, built on its purpose-built Life Sciences Cloud data model and customized to their processes, than with a rigid platform that locks them into predefined workflows, because commercial strategy changes as therapies and teams evolve. The right system integrates the real-world data you already license and adapts as you grow.
Should life sciences firms use Salesforce or Veeva?
Both are used across the industry. Veeva offers life sciences specific features but enforces predefined workflows and multi-year contracts, and is migrating off its original Salesforce infrastructure, which creates uncertainty about future integration.
Salesforce offers full customization of territory models, provider engagement, and compliance workflows, shorter contract terms, and broad integration with real-world data and market access tools. Firms that need their CRM to match a unique commercial strategy, or that are setting up their first system, usually prefer the flexibility of Salesforce.
What is Salesforce Life Sciences Cloud?
Life Sciences Cloud is Salesforce's purpose-built product for the industry. It ships with much of the life sciences data model already configured, including HCP and account management, medical affairs, and patient and consent data, so those foundations are in place from the start rather than built from scratch.
We implement Life Sciences Cloud and customize it to how your commercial and medical teams actually work, then extend it with the integrations, real-world data, and workflows that sit beyond the standard model. You get the head start of the prebuilt data model and the room to shape it around your therapy.
How does AI help in a life sciences CRM?
AI turns the lab, claims, and prescribing data you already license into patient identification. Machine learning learns which diagnostic patterns predict a patient who needs your therapy, then surfaces the providers treating those patients as qualified leads.
That replaces static specialty and geography lists with dynamic targeting, which is how teams find the right patients faster and reps spend time on patient-specific conversations. See our approach to AI and automation.
Can a life sciences CRM handle patient data and HIPAA compliance?
Yes. We integrate real-world data through secure pipelines and tokenization that protect patient identity, so providers appear as unified profiles enriched with lab and claims signals without exposing protected health information.
Role-based and field-level security separate medical and commercial data, and immutable audit trails document who accessed what for FDA and regulatory inspections.
Do you work with rare disease firms setting up their first CRM?
Yes. Rare disease and emerging firms are a core focus. Smaller patient populations, complex diagnostic journeys, and medical affairs teams that need equal standing with commercial all shape how the system is built.
We stand up the CRM, integrate the real-world data that finds patients, and keep it lean enough for a first commercial team while it scales with the therapy.
Put your data to work and improve patient outcomes
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