From payer to active healthcare partner
In an increasingly competitive intensive market, KPIs such as the loss ratio and also portfolio and growth key figures are of strategic significance. The private health insurers (PKV) are facing key challenges. Indicators such as the medical and technical progress and demographic change are leading to increasing benefit payments. For this reason, private healthcare insurance companies are in a tight spot and must keep the following topics in mind:
- Measures for stabilizing premiums
- Promoting customer satisfaction and customer retention
msg's PKV solution portfolio combines these two apparent opposites: Cost efficiency and customer satisfaction. With our solution components along the entire value added chain, we ensure an end-2-end positive customer experience and a high degree of automation within system landscapes. With our KI solutions, we enable, for example, active management of insured persons and at the same time create positive customer touchpoints– true to the motto: “From payer to active healthcare partner".
Overview of our PKV solutions portfolio
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Our solutions
Tariff change prevention
Identifizieren Sie potenzielle Tarifwechsler und beugen Sie den Wechsler mittels automatisierter Next-Best-Actions in einem operativ integrierbaren End2End-Prozess vor.
Predictive Prevention
Detect medical conditions at an early stage by means of artificial intelligence. Control measures to prevent and treat diseases through our product solution KOLUMBUS VM.
bKV (occupational health insurance) portal
Occupational health insurance (bKV) is the growth driver within the PKV – benefit from a broad approach by means of our employer & employee portal solution.
PKV product consulting bot
Our PKV product bot recommends individual benefit components in full and supplementary insurance and enables a variety of up and cross selling approaches.
CRM, input & output
Upload, submit, pay out – this is how easy benefit management can be for customers. Learn more about our automated end-2-end process.
Fraud prevention
Fraud detection and prevention algorithms are designed to automatically predict, detect, and prevent fraudulent behaviors, such as the double submission of claims or the manual alteration of claim documents.
