Five Must-Haves for Patient-Level Data Signals
Interconnectedness and real-time alerts have changed our lives. From breaking news flashes to social media notifications, many of us have developed a twitch reflex that can instantly distinguish the importance of our smartphone banners’ buzzing and whether action is required. That same trend is just as prevalent in healthcare – and it’s becoming a game-changer in the life sciences industry.
Patient-level alerts at timely, actionable, and precise moments in their journey should be the norm.
But all alerts are not created equal and reliable intelligence is long overdue.
With patient-centric data at the core, our alerts capture the precise sequences of events in a patient’s journey in real time. We capture moments that elude other datasets and alerting solutions.
Simply stated, alerts make sense of the noise in the data signals and find healthcare providers (HCPs) treating highly complex cohorts in therapeutic areas like oncology and rare diseases.
Here are the five data must-haves to build alerts that have the power to find the signal in the noise.
- Access to data sources that go beyond the pill.
Reliable patient alerts are built on a deep data ecosystem that captures the diversity of populations and breadth of clinical encounters. Alerting solutions built from patient-complete datasets should be the foundation for building intelligent alerts that help brands see the precise moments that matter well before a patient may need a particular therapy.
- Precision filtering that makes sense of the noise.
The only way to connect the dots in the noisy ecosystem of healthcare data is through full visibility into the nuances of patient journeys. The best alerting solution captures diverse data from provider-sourced open claims datasets to the more exclusive longitudinal claims data. A meaningful alert also builds its alert logic to recognize patterns consistent with misdiagnosis or future diagnosis, patients who are ready to be tested for disease, and therapy-eligible patients. This nuanced approach to data capture and alert logic will identify the right patients for the right intervention at the right time and eliminate the false negatives and positives that too often plague existing alert approaches.
- Enriched data signals that follow the longitudinal patient journey.
By enriching data signals with HCP demographics, HCO firmographics, medical specialty, and, most importantly, patient history, a comprehensive picture of the longitudinal journey provides reliable intelligence. This will help ensure the alerts are truly relevant for field and non-personal touchpoints.
- Customized alert configuration to pinpoint the most specific of patient cohorts for the rarest of indications.
Actionable alerts go beyond the industry standard by providing an unparalleled level of cohort specificity to drive meaningful engagement with HCPs at optimal phases and times. Even in ultra-rare disease. Alerts built from patient-complete datasets, which include closed-claims insights, offer brand teams confidence in alert accuracy. These insights include identifying patients who are new to therapy or finding those being tested for the first time, representing a pending diagnosis. Foundational data will allow you to find the proverbial “needle in the haystack,” enriching your efforts with high-fidelity signals to reduce the burden of disease.
- Measurable alert performance, optimized for the target cohorts.
A good alert shouldn’t leave you questioning its logic. Your alerting solution should be a trusted, single source of truth for your team. Smart alerts offer best-in-class analytics and performance insights with in-depth visualizations – surfacing conversion metrics and the data behind alerts – giving you a clear picture of your market impact.
A patient-centric approach to data can help bring your alerts to life, making them relevant, timely, and useful in your everyday workflow. With access to 325M patient journeys and 140M longitudinal claims, Pulse alerts can help you work smarter, not harder.
Are you ready to find patients who are hiding in plain sight? Get smarter alerts. Learn more.