Our client, a leader in addiction treatment innovation, sought to improve traditional recovery models, which had a 50% success rate over 17 years. Fragmented care and inconsistent assessments hindered effectiveness. NeenOpal developed a scalable, cloud-native SaaS platform—the Digital Risk Stratification Tool using advanced analytics for data-driven risk assessment, real-time insights, and automated reporting. This solution enables personalized care plans, enhances recovery outcomes, and transforms addiction treatment into an insight-driven, predictive healthcare model.
Our client faced challenges such as fragmented care systems, a lack of evidence-based evaluations, and limited real-time information, which prevented customized, effective treatment for drug addiction.
Traditional treatments for addictions lacked reliable screening tools capable of providing measurable and personalized insights. This resulted in inconsistent care plans, suboptimal outcomes, higher relapse rates, and prolonged recovery timelines, which the client sought to address.
Without real-time patient data, providers struggled to adjust care plans, creating treatment gaps and higher relapse risks. Timely insights into patient behavior were crucial for effective, responsive addiction treatment.
Conventional assessments failed to adapt dynamically to patient responses, resulting in lengthy and irrelevant questionnaires. This reduced patient engagement, hindered assessment accuracy, and limited the development of personalized care plans, highlighting a critical gap the client aimed to fill.
To address the complexities of addiction risk assessment, NeenOpal developed a digital solution that enhances predictive accuracy, streamlines clinical workflows, and empowers healthcare providers with real-time insights. Our approach ensures data-driven decision-making while improving patient outcomes.
NeenOpal developed an advanced Digital Risk Stratification Tool based on our client’s Risk BUILD© model. This tool integrates risk factors, resilience, and motivation to create holistic addiction risk profiles. By predicting an individual's potential for addiction onset and chronicity, the tool provides personalized, actionable care plans tailored to each patient's needs. With real-time insights, healthcare providers are empowered to deliver targeted interventions and prevent relapse.
NeenOpal designed the solution to evaluate key factors such as family history, behavioral health, and resilience, delivering personalized risk profiles in under 30 seconds. The entirely digital process not only ensures accuracy but also enables providers to formulate care plans that align with patients' unique needs.
To save valuable clinical hours, NeenOpal integrated automation into the tool, enabling the instant generation of comprehensive risk reports. These reports equip providers with data-driven insights, allowing them to make swift, informed decisions while reducing the administrative burden of manual reporting.
Using skip logic, NeenOpal ensured the tool dynamically adapts questions based on patient responses. This streamlined assessment process minimizes irrelevant questioning, reduces patient fatigue, and enhances engagement. As a result, providers receive accurate, personalized insights to guide targeted solutions to addiction.
NeenOpal brings deep expertise in advanced analytics, AI-driven automation, and scalable solution development. Our ability to integrate real-time insights, predictive analytics, and process automation enables healthcare providers to deliver personalized, evidence-based care with greater efficiency and accuracy.
NeenOpal’s solution revolutionized addiction risk assessment by enhancing predictive accuracy, improving patient engagement, and streamlining clinical workflows. By integrating automation and real-time insights, the client achieved greater efficiency, better decision-making, and improved treatment outcomes.
By using NeenOpal’s Digital Risk Stratification Tool, our client successfully addressed critical gaps in addiction treatment. The solution enhanced patient engagement, streamlined clinical workflows, and improved recovery outcomes. With real-time, data-driven insights, providers can now make informed decisions faster, ensuring better care and long-term remission for patients.