Oracle Health

This feature gives clinicians a chronological view of a patient’s encounters, diagnoses, medications, life events, and condition-specific information. It also shows medication changes, dosages, prescription reasons, and relevant notes. Patient Timelines can make it easier to follow changes in the patient’s health history and progress over time. Moreover, they could help clinicians quickly understand important changes in a patient’s health history, which could lower the need for them to review records separately.

Personalized Workflows uses AI to adapt the EHR experience to each clinician’s preferences, behavior, and visit types. It learns from how clinicians use the system and adjusts the content and actions shown to make frequently used items easier to access. This can minimize repetitive data entry during routine clinical work, enabling clinicians to spend less time navigating routine tasks and more time on clinical work.

Oracle Health Determinants of Health combines clinical data, social determinants of health, and geographic data to highlight health and social risks across communities. It can map areas of vulnerability at the census block group level, enabling organizations to identify underserved populations. At the point of care, it also supports evidence-based screening and personalized care plan goals to help address patients’ nonmedical needs. The module can help healthcare organizations target resources toward communities and patients with greater social and health needs.

The Care Tracker gives caregivers mobile access to care documentation through wall-mounted kiosks, handheld devices, and workstations. It uses visual cues to show required tasks and lets caregivers record information such as daily activities, meal intake, mood, and behavior at the point of care. The feature also provides near real-time visibility into residents’ progress toward individualized care goals, including restorative care plans, behavioral support programs, and repositioning schedules. Additionally, integrated clinical intelligence analyzes caregiver-entered data to identify trends and flag potential issues that may require attention. It could assist care teams in maintaining current resident records and identifying changes that may require earlier intervention.

This module provides self-service tools for patients to schedule, register, confirm, and check in for appointments through desktop and mobile devices. It also guides staff through scheduling and registration steps and uses AI and machine learning to extract information from documents such as driver’s licenses and insurance cards. The solution integrates with Oracle Health's EHR so information entered by patients is available to authorized users in near real time. It also provides insights into scheduling and registration activity to help organizations manage resources. This can help lower phone-based scheduling and registration work while giving staff more timely patient information.

The Patient Accounting feature automates billing and reimbursement processes for patient services across the healthcare continuum. It uses payer content, contract data, and clinical information to check claims before submission, identify potential denials, and calculate expected reimbursement and patient responsibility. The solution also supports automated remittance posting by matching payments to the appropriate receivables, while analytics help identify denial trends and reimbursement variances. Its contract management capabilities can also track payer performance and continually reprice receivables as payment factors change.