Compare Arine vs. IMO Core

Medication therapy management (MTM) has been established for over ten years, yet the costs associated with medications continue to rise, the incidence of chronic diseases increases, and the satisfaction levels of health plan members remain flat. In light of these challenges, there is a greater necessity for an effective, scalable solution to manage prescriptions that supports patient health and minimizes expenses linked to medication-related issues. Arine functions as if it were an exceptionally skilled senior addition to your healthcare team, integrating data science with clinical knowledge to provide clinicians with the essential insights, care plans, and tools necessary for delivering tailored patient care. By gathering and synthesizing all relevant information, Arine automates tedious tasks for clinicians, allowing them to dedicate more time to patient counseling and engagement. Moreover, Arine utilizes predictive analytics to foresee high-risk, high-cost occurrences by dissecting risk scores into practical clinical, behavioral, and social factors, thereby enhancing proactive care management. This innovative approach not only streamlines healthcare processes but also contributes to better patient outcomes and overall satisfaction.

IMO Core enhances clinical workflows by enabling healthcare providers to document with precision and effectively manage medical problem lists. Often, the processes intended for documenting and handling patient data can be fragmented and overly complicated, which can hinder healthcare professionals from delivering optimal care. These workflow issues also have repercussions on data integrity, ultimately affecting billing practices, reimbursement rates, quality reporting, and initiatives aimed at improving population health. By streamlining documentation and problem list management, IMO Core facilitates access to vital patient insights, thereby ensuring data quality, alleviating the administrative burden on clinicians, and maximizing reimbursement opportunities. Clinicians are empowered to document using their own terminology, with prompts that encourage detailed and specific entries at the point of care. Additionally, the system identifies unaddressed Hierarchical Condition Categories (HCCs) to improve coding accuracy and documentation. It also incorporates detailed descriptions that effectively reflect the clinical intent behind the documentation, enhancing the overall quality of patient records. This comprehensive approach not only improves clinician efficiency but also contributes to better patient outcomes.