{"id":22432,"date":"2024-08-05T17:36:38","date_gmt":"2024-08-05T12:06:38","guid":{"rendered":"https:\/\/www.cigniti.com\/blog\/?p=22432"},"modified":"2024-08-05T18:12:57","modified_gmt":"2024-08-05T12:42:57","slug":"data-driven-healthcare-patient-care-predictive-analytics","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/data-driven-healthcare-patient-care-predictive-analytics\/","title":{"rendered":"Data-Driven Healthcare: Boosting Efficiency and Patient Care with Predictive Analytics"},"content":{"rendered":"

In the highly competitive healthcare industry, optimizing operational efficiency and enhancing patient care are paramount. A leading healthcare provider in the APAC region, known for running one of the largest hospital chains, faced a significant challenge: a drop in inpatient volumes coupled with rising operating costs. The solution lay in innovative digital transformation, spearheaded by Cigniti\u2019s Patient Revenue Intelligent Maximizer Engine, which ultimately led to a remarkable increase in outpatient (OP) to inpatient (IP) conversion rates.<\/p>\n

The Need for Change<\/h2>\n

The hospital chain was experiencing a troubling trend: patients were increasingly getting prescribed tests done outside the hospital, which negatively impacted the hospital\u2019s revenue cycle. This low percentage of OP to IP conversions posed a challenge to creating long-lasting improvements in their revenue cycle management.<\/p>\n

Recognizing the dual opportunity to enhance patient care and increase conversion rates, the Chief Information Officer (CIO) identified a need for a system that could anticipate patient demand and predict, in real-time, the probability of patients opting for external tests.<\/p>\n

The aim was to leverage information flow across crucial areas like patient access, interactions, and billing to make informed decisions and provide timely interventions.<\/p>\n

The Partnership with Cigniti<\/h2>\n

To address these challenges, the hospital partnered with Cigniti. Cigniti’s task was to devise a Patient Revenue Intelligent Maximizer engine. This engine was designed to configure real-time patient data and share insights with hospital management, enabling them to predict and influence patient behavior effectively.<\/p>\n

The Approach<\/h2>\n

Cigniti’s team collaborated closely with the healthcare provider to develop the engine, integrating various data points such as patients\u2019 location, surrounding weather, health status, and distance from residence. This data was crucial in predicting the likelihood of patients getting tests done outside the hospital.<\/p>\n

The engine\u2019s \u201caction layer\u201d played a pivotal role by sending personalized messages to patients. These messages informed patients about the in-house testing facilities at optimal times, helping them make better-informed decisions about their care.<\/p>\n

Achievements and Impact<\/h2>\n

The implementation of the Patient Revenue Intelligent Maximizer Engine yielded impressive results:<\/p>\n