REDPOINT FOR PROVIDERS
Stop Guessing Who Your Patients Are
Give your team, and your AI, one real-time patient profile accurate enough to find new patients and keep the ones you already serve.
Data-Driven Healthcare Organizations Trust Redpoint
Healthcare has never had room for error. AI just raised the stakes.
When a patient record is wrong or incomplete, your team and AI agents miss patients, waste spend, and erode trust. Redpoint fixes that upstream, continuously cleansing, resolving and unifying patient data, so every system, person, and AI agent works from the same real-time context instead of a guess. Â
Data readiness means more patients reached, more care delivered, more revenue retained.
From First Appointment to Lifelong Patient
Unified Patient Profiles — Fast
Integrate clinical, claims and consumer data into one real-time patient profile. Redpoint resolves complex identities and delivers real-time context without heavy custom builds or IT bottlenecks, so teams see value fast.
Segment Patient Cohorts, Activate Everywhere
Build cohorts for patient acquisition or service line growth, from new movers to patients due for a specialty consult, and activate them in real time. The payoff: fuller service lines and less referral leakage.
Persistent Identity, Provable Attribution
A persistent key follows each patient across every touchpoint and channel, from the first ad click to the completed encounter. That means finally proving which campaigns actually drove care, not just which ones got a click.
AI Built on a Foundation You Can Trust
A care gap alert, a no-show prediction, a scheduling chatbot: each is only as sharp as the record behind it. Redpoint keeps that record current and traceable, so your AI ships faster and compliance can see exactly where every answer came from.Â
Proven Impact
Providers using Redpoint see measurable gains in revenue, efficiency, and patient engagement,
50%
more appointments scheduled
20% – 30%
patient survey response rates
20%
lower marketing cost
80%
reduction in data preparation time
Healthcare Awards
Data solution of the year
HEALTHCARE
Data Breakthrough Award 2026
DIAMOND
Trailblazer in
Healthcare Technology
SILVER MERIT
Healthcare Techology
Solution of the year
In our transformation of marketing, we moved lower down the funnel of finding people that are in need of care now, that have symptoms or concerns, that we can talk to, which makes marketing spend more efficient.
– VP OF MARKETING PLATFORMS AND ANALYTICS
How Providers Use Redpoint for Data Readiness
Activate trusted patient data to grow the service lines that matter most and retain the patients you’ve already earned, driving the margin that sustains the mission.
Patient Acquisition
- New & Existing Patient Acquisition
Predict who’s likely to need a specific service whether a new prospect or a patient you already see, and reach them before they look elsewhere. - Health Equity & Access
Layer clinical, claims, and SDOH data under one governed profile to find underserved patients, recommend services, and prove which outreach actually closed the gap. - New Patient Onboarding
Trigger a welcome journey the moment a new patient, or their household, registers, syncing portal access and consent for dependents from day one.
Service Line & Program Enrollment
- Specialty & Service Line Growth
Buld cohorts from one profile and activate outreach before they look elsewhere. - Chronic Care Program Enrollment
Enroll the right patients in chronic care and CCM/RPM programs from a record that unifies clinical, claims, and engagement history. - Appointment Optimization & Adherence
Flag no-show risk from a model trained on current, traceable data, and route save-the-visit outreach to the channel each patient actually responds to.
Patient Satisfaction & Retention
- Patient Satisfaction & Leakage Prevention
Score attrition risks from real signals, like a missed referral or falling engagement, and intervene before a patient leaves your network. - NPS & Satisfaction Surveys
Route surveys and resolve responses back to the right patient record, so follow-up reaches someone who knows who the patient is and what visit they’re rating.Â
Wellness & Preventative Care
- Preventive Screenings & Wellness Visits
Identity patients due for a wellness visit or screening, timed to when they’re most likely to book. - Care Gap Closure
Trigger the next-best outreach the moment a care gap appears in the record, not in a monthly batch file, so the message goes out while it still matters.
Secure, Compliant, Deployed Your Way
Redpoint runs self-hosted, in your cloud, or as SaaS, supporting HIPAA compliance at every step. Security and compliance teams get the deployment model they need, without slowing anyone else down.
Enterprise-Grade Security and Compliance
Data Readiness Resources for Providers
Frequently Asked Questions
What is Data Readiness for Providers?
Patient data readiness is a process and methodology for ensuring patient data is right and and fit for purpose across clinical, operational, and engagement use cases. Extending beyond basic data quality, data readiness is a framework for building and activating a unified, longitudinal view of the patient. To do so, it integrates clinical, claims, demographic, social determinants of health, behavioral, and engagement data to support marketing, patient experience, and AI use cases.
 For healthcare providers, data readiness enables a deeper understanding of patients and populations, supporting proactive outreach acquisition and retention campaigns, through data that’s contextualized and fit for purpose,. The practice of data readiness extracts maximum value from patient data by ensuring it is complete, accurate, timely, actionable, trusted, secure, and compliant, all within a unified patient profile for healthcare enterprise use.
Is Redpoint HIPAA compliant?
Why is Data Readiness valuable for healthcare organizations?
Data readiness is valuable because traditional clinical and claims data alone do not provide a complete picture of patients’ status, needs, behaviors, or engagement preferences. By unifying clinical, behavioral, and interaction data into a single, trusted patient view, healthcare organizations gain the context needed to anticipate needs, personalize outreach, and engage patients beyond the exam room. This unified understanding supports stronger patient-provider relationships, builds patient trust, and improves satisfaction and retention. Data readiness also prepares patient information for the healthcare organization’s effective use of AI tools. Only data readiness can turn fragmented patient data into actionable insight that drives hyper personalization and sustainable growth.
I have an Electronic Health Record (EHR or EMR). Why do I need data readiness?
EMR/EHR data quality focuses on whether clinical data is accurate and usable within a specific system, primarily to support documentation, billing, and point-of-care decisions. The practice of data readiness goes further by ensuring all patient, demographic, social determinants of health, and engagement data is complete, accurate, timely, actionable, trusted, secure, and compliant. This contextualized insight then becomes actionable across systems and use cases; it links clinical records with claims, engagement, behavioral, and operational data to create a unified patient view.
 While the EHR warehouses data, data readiness determines whether data can be activated to drive patient retention and acquisition campaigns through hyper-personalized engagement, or used to fuel analytics, and AI at scale. The EHR records medical insight; data readiness turns data into strategy.
Do healthcare providers need a Customer Data Platform (CDP) for data readiness?
While many CDPs focus on aggregating data for engagement, data readiness ensures that data is accurate, connected, timely, and fit for use across clinical, operational, analytics, and AI initiatives. Implementing a CDP does not make data ready; without strong data quality, identity resolution, and governance, CDPs can amplify flawed inputs. A strong data readiness foundation can strengthen CDP outcomes by enabling a trusted, unified patient view that can be activated across systems and use cases.
Why is data readiness critical for AI-driven patient engagement?
While AI, machine learning, and predictive analytics can make hyper-personalized patient engagement possible at scale, the data that is fed into AI must be accurate, complete, and fit for purpose. Clean, contextualized data ensures that each touchpoint feels relevant, timely, and human. When data is inconsistent or incomplete, it can quickly derail the experience.
As healthcare organizations adopt AI, data readiness becomes essential. Preparing data for AI requires more than collecting and storing information, it requires a foundation that continuously ensures data is clean, connected, and fit for purpose. This starts with automated data quality processes that cleanse and normalize records as they enter the system. Advanced identity resolution then links patient data across fragmented sources such as EHRs, claims, call centers, and digital interactions.
Once unified, these signals form contextualized patient profiles that integrate clinical, behavioral, demographic, and engagement data, giving AI a complete and trustworthy view of each individual. When activated in real time, these robust patient profiles enable meaningful predictions, autonomous engagement, and smarter decisionmaking across the entire care journey.