Healthcare Reputation Management Platform Optimization

The platform is now used by thousands of physicians and one of its features is monitoring user’s reviews across various platforms such as Google, Healthgrades, Vitals, WebMD, and Yelp. In order to successfully serve its users, the service should be able to quickly retrieve information from various sources and accurately analyze large volumes of data.

In order to evenly distribute all requests, ensure stable performance and minimize maintenance-related costs we focused on database optimization and multilevel caching.

Langate has also created a credible security system that protects the data from cyber-attacks or other fraudulent actions.

Rater8 can be integrated with practice management systems in order to automatically request, collect and analyze patients’ feedback. To provide this service, Rater8 processes HL7 files containing the patient’s appointment information. For security reasons, only patient name, email, address, and mobile number are encrypted and archived in the Rater8 database, while all other patient-related information remains unrevealed.

So healthcare organizations shouldn’t worry about patients’ diagnoses, prescriptions, past procedures, and other medical data being compromised and used by third parties.

Langate worked on improving Rater8’s algorithm that helps organizations easily reach their reputation management goals. We created a system where facilities can specify which amount of reviews and how often they want to be added to each review platform. Based on this information the algorithm automatically requests feedback from patients and redirects them to the platforms where the reviews should be placed.

Langate created a reporting and analytics dashboard that allows healthcare organizations to analyze reviews for each individual physician or office location. By highlighting similar patterns the feature helps entities detect and address problems in their online reputation as well as identify their competitive advantages.