When we talk about effective value-based care, reduced hospital visits highlight key improvements, showcasing better preventive care and health management. But the numbers show a contrasting story. Sg2’s 2024 Impact of Change report predicts a 16% rise in patient visits over the next decade. This presents a challenge for the healthcare providers to focus on value based care, even in cases of higher patient volumes.
Efficient pre-visit planning in healthcare could be a potential strategy to address this challenge. With Artificial Intelligence (AI) emerging as a powerful aid for creating comprehensive patient briefs, we are looking at more effective ways of planning value based care.
This article dives into the core components of an AI-powered pre-visit brief and how these systems can reduce unnecessary hospital visits, enhance physicians’ productivity, and optimize value-based care.
Core Components of AI-enhanced Pre-visit Briefs
Patient History Synthesis and Current Status
The foundation for a perfect pre-visit brief lies in an easy to read comprehensive structure. The AI systems help structure the briefs by integrating historical records, recent test results, pre-visit questionnaires to present actionable insights about the patient’s situation. These advanced pre-visit briefs enable the physician to investigate any immediate concerns, medication issues, or unresolved problems from the previous visits, saving time and effort in each consultation.
Innovaccer provides a seamlessly integrated solution with intelligent point-of-care insights to deliver the right information to the physicians at the right time. To know more, click here.
Predictive Insights and Care Planning
The AI systems analyze patterns from a patient’s visits and generate predictive insights to help providers in multiple areas:
- The system allocates hospital resources according to the requirements as presented by the insights, optimizing visit preparation. The insights highlight potential complications to the providers who discuss them with the patient during their visit, enhancing risk assessment.
- Additionally, it identifies any gaps in care quality from the physicians’ end by highlighting any overdue screenings, preventive care measures and comparing the data with the relevant population health insights to provide context for individual patient care.
Pre-Visit Communication and Patient Engagement
Patients love a tailored experience during each visit. These AI systems enable physicians to provide exactly that, right from their initial appointment. These systems customize pre-visit instructions and materials to include information related to preparation steps required, documents, pre-visit testing needs, and a questionnaire that captures their current symptoms and concerns.
The system monitors the patterns of the patient’s responses, ordering follow-up reminders and adjusting communication frequency as required.
Visit Preparation and Resource Planning
The smooth workflow operations of a hospital rely on resource availability and organized documentation at all times. AI-powered briefs help enable that by generating a preliminary visit agenda for each patient, focusing on key discussion pointers and anticipated needs. The system then prepares the paperwork in advance and coordinates the laboratory and diagnostic testing requirements for any pre-visit tests.
This optimizes patient visit by managing availability of all necessary resources beforehand, from medical equipment to specialist consultations.
Considerations For Implementation
The systems should be implemented after careful attention to certain parameters:
Technical Integration
- Given the data-dependent nature of these systems, they must be integrated with the existing electronic health records (EHR) software, to synchronize patient data for identifying necessary pre-visit requirements.
- This integration also demands robust data standardization processes and redundant backup systems to maintain continuous operation.
Privacy and Security Measures
- A comprehensive approach to privacy demands stringent security measures so that the data is end-to-end encrypted.
- The systems should provide strict access controls, detailed audit logging and patient consent management to help address potential vulnerabilities and security concerns.
Quality Assurance and Monitoring
- The systems need to be assessed regularly to identify any scope of improvement in their performance and any cases of algorithmic biases in their insights.
- The systems’ algorithms can then be updated leveraging the technical performance data and user feedback, ensuring that it continues to meet evolving clinical needs while maintaining reliability.
These parameters will enable the providers to identify any opportunities for enhancements, at the same time ensuring that the systems deliver accurate and useful pre-visit briefs.
Also read: Evaluate Your AI Vendor On These Parameters Before Signing
AI Powering Pre-Visit Briefs For The Future
The real strength of AI-powered pre-visit briefs is not only just their technical features, but how they can help providers enhance the quality of their patient care. We can expect enhanced functionalities such as natural language processing and voice interfaces, automated customization and real-time updates, integration of remote monitoring data, to provide a comprehensive pre-visit to the physicians before every visit.
This will empower the healthcare providers to focus solely on patient interaction, with the AI-powered briefs being a powerful aide at their side. To witness how Innovaccer’s solution is setting new standards for quality patient care, schedule a demo today.
