A unique point of care lever for evidence-based patient management

Clint allows life sciences companies to increase guideline adherence, drive more focused commercialization programs, increase brand revenue, and speed research and clinical trials.

Clint Care for Life Sciences

Clint Care delivers a unique lever to enable precise and evidence-based patient management by analyzing the full EHR at healthcare systems, identifying care gaps, and delivering recommendations to healthcare providers at the point of care.

Clint Care for Commercial Teams

Drive Rx lift with direct influence at the point of care

Increase Reach and Focus

Identify care gaps at a population and health system level in near real time

Improve Guideline Adherence

Raise awareness of available therapies in the context of care guidelines based on each patient’s true clinical state

Influence Rx Lift

Inform treatment decisions and prescription switching, supported by medical evidence, in every clinical encounter

Refine Program Effectiveness

Capture metrics on HCP engagement, click-through rates to Clint dashboards, time spent reviewing guidelines, and other behaviors at the point of care

Commercial teams use Clint Care to identify care gaps across specific locations, healthcare providers, and patients.

Clint Care is uniquely able to provide this guidance because it analyzes the full EHR at healthcare systems.

Commercial teams use the analysis to refine programs to target selected healthcare systems, clinicians and patients with evidence-based therapies to address care gaps.

Care gap hot spots identified by Clint

At the point of care, healthcare professionals use Clint to review recommendations and determine the best course of action, such as ordering a prescription or evaluating a patient for a clinical trial.

Clint applies the most recent medical guidelines to automatically identify care gaps and recommend therapies or tests based on the health status of each patient.

Clint Care helps commercial teams to refine program effectiveness by collecting information from healthcare providers when they choose not to accept a recommendation.

Commercial teams can monitor adoption opportunities using Clint dashboards to pinpoint issues with outreach.

Dashboards analyze prescribing behavior, adoption patterns, and guideline adherence.

Clint captures metrics on healthcare provider engagement, such as click-through rates to Clint dashboards, time spent reviewing guidelines, and other behaviors at the point of care

Case study

Illumina used Clint to reveal $320M of additional opportunity for genetic testing


Clint Care for Medical Affairs

Identify and quantify care gaps and model strategies

Identify and Quantify Care Gaps

Pinpoint gaps in care for specific patients and healthcare providers, or across an entire patient population in a health system using EHR data, not just ICD codes

Assess Guideline Adherence 

Determine how well clinical practice guidelines are being followed and capture rejection reasons for better education campaigns

Expand Reach and Impact

Influence care guidelines to include evidence-based therapies and ensure healthcare providers as a valuable and recommended option for patients who meet specific criteria

Simulate Medical Strategy with Real-World Data

Model medical strategy using real-world datasets and identify the most effective approach

By analyzing the full EHR at healthcare systems, Clint Care pinpoints care gaps across patient populations, healthcare systems, and healthcare providers.

Medical affairs teams use Clint analysis to guide outreach and education strategies for evidence-based therapies to treat specific diseases or indications.

Care gaps identified by Clint

Medical affairs teams use Clint Care to model intervention strategies using real-world, real-time data before implementation.

Simulate various adoption rates to find the care gap closure rates

By continuously monitoring real-world data, medical affairs teams can modify medical strategies in response to market changes and point-of-care behaviors.

Clint Care also captures information from healthcare providers when they choose not to accept a recommendation.

Clint Attract for Clinical Operations

Reduce protocol amendments, optimize patient safety, and ensure data integrity

Optimize Trial Design

More time to determine relevant endpoints and select the best patient populations to yield statistically meaningful results

Automate Site Feasibility

Use EHR records to quickly identify qualified sites with proven ability to conduct effective clinical trials 

Identify Patients Faster

Automatically identify eligible patients for each site based on their EHR records

Balance Demographics in Real-Time

Automatically drives a mix of eligible patients to achieve diversity, equity, and inclusion goals

Clint Attract analyzes the EHR across healthcare systems so that researchers design trials based on the most comprehensive set of HIPAA-compliant patient characteristics.

Researchers use advanced inclusion/exclusion capabilities to specify priority characteristics and simulate effects on population counts, event rates, and comorbidities.

Researchers also may model risk and event rates, to enrich the cohorts with highly-eligible populations that are likely to have events in a certain timeframe

Clint Attract instantly maps patient populations based on ZIP3, allowing researchers to choose the sites with the most potential.

Clint Attract automates data-driven feasibilities of sites based on previous performance across the healthcare network.

The solution also estimates enrollment and start-up time for each site.

Researchers can filter site views by characteristics such as site size or historical start-up time

Sites receive clinically accurate, pre-screened lists of patients that meet the eligibility criteria of the protocols.

  • Automatically identifies patients that satisfy complex inclusion/exclusion criteria
  • Proven to deliver a low screen failure rate (<10%)
  • Integrates into the clinical operation team’s workflows to speed enrollment and increase the likelihood of meeting clinical trial timelines

Case study

A top 5 life science company reduced their screen time by 4.5X


A unique point of care lever for evidence-based patient management

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