OpenEvidence Launches AI-Based Dialer to Enhance Clinician Reach

OpenEvidence is broadening access to its artificial-intelligence-enabled physician dialer as part of a wider push to integrate its tools more deeply into everyday clinical processes.

According to the company, the communications feature allows HIPAA-compliant calling, texting, faxing and direct-to-voicemail messaging within the OpenEvidence application, with an emphasis on privacy and data security. After first introducing the dialer in early December, the company is now extending availability to a larger group of users.

OpenEvidence said the dialer provides unlimited daily calling minutes at no cost to verified healthcare professionals in the country.

The company initially built its reputation on an AI-driven medical search engine and a generative chatbot designed specifically for physicians to sum up and clarify evidence-based clinical information. As it grows, the health technology firm is branching beyond search capabilities into additional workflow tools, positioning itself in more direct competition with other healthcare AI platforms. In August, it introduced Visits, an AI assistant that records and transcribes patient encounters. By adding the dialer, OpenEvidence is also stepping into territory long dominated by Doximity’s primary communications business.

OpenEvidence said its AI-enabled physician dialer is powered by a multi-layered artificial intelligence system that functions across the full scope of a clinical interaction. The technology supports everything from documenting calls to delivering real-time decision support while conversations are underway, with evidence-based guidance automatically incorporated into the patient notes created during the exchange.

According to the company, the feature brings patient outreach, clinical insights and documentation together within a unified workflow. OpenEvidence said this integrated approach differentiates the product from conventional standalone dialers and other communication extensions.

Daniel Nadler, founder and CEO of OpenEvidence, said that the company created its AI-Integrated Doctor Dialer in response to clinicians being forced to choose between safeguarding privacy and maintaining strong patient answer rates, all while managing disconnected tools across communication, documentation and clinical decision support workflows.

He added that the company observed that many dialers on the market were built during the COVID-era telehealth boom and lacked the ability to incorporate advanced clinical decision support powered by newer technologies. He said the OpenEvidence AI-Integrated Doctor Dialer is designed as a comprehensive communications platform, encompassing calls, messaging, fax and voicemail, with clinical AI embedded across the full workflow to deliver real-time guidance and automatically produce evidence-based notes, all within a single HIPAA-compliant system.

Using the OpenEvidence dialer, clinicians can initiate calls using a customizable caller ID that displays their affiliated hospital or practice name and number, helping preserve personal privacy while improving the likelihood that patients answer. The feature allows users to tailor the caller ID shown to recipients, launch telemedicine connections with a single tap and toggle between different professional profiles and phone numbers when working across multiple hospitals or clinics. Physicians can also exchange secure text messages within the app, with the option for patients to respond.

OpenEvidence said that since launching a limited rollout of its Visits feature in August, the tool has supported approximately 37 million minutes of physician-patient communication and clinical interactions.

OpenEvidence Introduces AI Dialer to Transform Clinician Engagement

OpenEvidence has announced the launch of its AI-based dialer platform aimed at improving how healthcare organizations connect with clinicians. The new solution from OpenEvidence leverages artificial intelligence to optimize call timing, personalize outreach, and increase successful connection rates across medical networks.

The newly introduced AI-based dialer is designed to go beyond simple automated calling. It incorporates machine learning models that continuously improve outreach performance by analyzing past engagement data, call outcomes, and clinician availability trends. Over time, the system adapts its dialing strategies to maximize live connections while minimizing unnecessary attempts.

In addition to predictive dialing, the platform includes intelligent voicemail detection, automated scheduling features, and CRM integration. These capabilities allow outreach teams to track engagement metrics in real time and refine strategies based on measurable performance indicators.