Health IT Consulting: Empowering Digital Transformation

---

Nova Insights offers a range of services including business analysis, strategic planning, project management, and organizational development.

Nova Insights has experience working with clients in a variety of industries including healthcare, finance, technology, and retail.

Nova Insights uses a collaborative approach to project management, working closely with clients to define project goals, timelines, and deliverables.

 Nova Insights AI Agents are designed to address the problem of clinicians and administrators spending excessive time on administrative tasks (around 40% of their time), which reduces their focus on patient care1. These AI agents work by intelligently automating routine processes within healthcare systems, enabling clinicians to operate at the top of their license and dedicate more time to patients 

The core benefits include:

· Time Savings: On average, clinicians save about an hour a day in administrative time.

· Resource Redeployment: Saved time can be reutilized to see more patients, redeploy assets, or allow more time for patients who need it.

· Increased Productivity: Overall productivity increases by 10-15%.

· Improved Cash Flow: Experience an almost immediate increase in cash flows, ranging from 1-3%.

· Reduced Expenses: Bottom line expenses are reduced by approximately 5% through workforce optimization and scheduling.

· Optimized Schedules: Unnecessary patient visits can be reduced by 3-10%.

· Reduced Cancellations: For instance, day-of-surgery cancellations due to improper patient preparation can be reduced significantly (e.g., from 17% down to 2% for one client).

· Enhanced Clinician Satisfaction: By alleviating administrative burdens, the AI agents contribute to reducing clinician burnout.

· 24/7 Support: The agents offer continuous screening, triage, personal support, and monitoring.

· Increased Privacy and Human Touch: While automating, the system is designed to increase privacy and maintain a human touch, providing increased access for patients and clinicians to necessary solutions.

Nova Insights AI Agents are currently deployed in various areas, including:

· Patient Scheduling: Agents handle approximately 21,000 cases per year, automating 96% of the process. This saves about 17,000 hours annually, with an ROI of about 495% in the first year. This includes managing appointment order intake, automating plan codes and specialist assignments, creating waiting lists, scheduling appointments (including self-scheduling), and automating confirmations and lab requests.

· Consultation Preparation and Charting (Cardiology Group): The system reviews a cardiologist's patient list for the next 48 hours, gathering updated information from various sources (e.g., nuclear medicine, radiology, lab results). It analyzes this data based on clinician protocols, presenting a comprehensive report with analysis and recommendations, enabling clinicians to spend more time talking with patients (e.g., 14 minutes talking vs. 1 minute review.) This automates 99% of the process for about 7,000 cases annually, saving 2,300 hours and yielding a 965% ROI in 12 months.

· Multidisciplinary Team Preparation (Diabetic Group): The agents cull required information for individuals in multidisciplinary teams, providing a general report and ensuring all necessary data is at their fingertips. This automates 99% of the process for about 4,800 cases annually, saving 784 hours, providing a 148% ROI.

Revenue Cycle Management: This includes dealing with claims, claims reporting, and CPT code submissions. For example, in mental health, the system can automate coding for group sessions, reducing the time for submission from an hour to 30 seconds per patient. 

Nova Insights AI Agents function as middleware, operating within your healthcare system. They integrate with major EHRs like Epic and Meditech. The integration is designed to be "IT-friendly," often as simple as creating an account for the AI agent to access the system via login and password, emulating human motion within the EHR. This approach avoids the need for complex APIs or FHIR connectivity, which can prolong integration timelines.

The agents reside within the client's healthcare system, meaning data remains within your system and does not leave unless specifically permitted. All data is encrypted, and Nova Insights is ISO 27001 certified and 7510 certified (for specific healthcare privacy and security in Europe). Significant attention is paid to access and control to address privacy and security concerns. The AI agents utilize your specific data sets, ensuring that the information used is relevant to your demographics and population base.

Nova Insights addresses these concerns by:

· Using Client-Specific Data: The AI models (LLMs) are based on the client's own data, preventing external biases from being introduced26. Each system and population is unique, and this approach simplifies the process to achieve desired results.

· Emulating Human Workflows: The agents are designed to emulate existing human workflows, processes, and protocols.

· Collaborative Development: The agents are built in collaboration with clients and stakeholders to ensure trust and alignment with their specific protocols.

· Continuous Testing: Rigorous testing, involving both AI and human intervention, is conducted to ensure the agents provide results exactly as human users would, specifically addressing "hallucination concerns". The more AI is used, the more human involvement is integrated to manage these issues.

Meaningful ROI can be achieved by smaller and mid-sized organizations, though the timeframe for return on investment might be slightly longer in lower-volume environments. The key is identifying the specific problem the organization is trying to solve. ROI can be both tangible (e.g., clinicians seeing more patients, efficiency gains) and intangible (e.g., redeploying staff to address shortages, filling gaps from lost staff, and significantly increasing clinician satisfaction by reducing burnout from administrative tasks).

The most crucial part of the implementation is the initial collaboration to clearly define workflows and rule sets with the client's teams. Once these are established, the system emulates those processes as a base and builds upon them. This upfront effort is crucial to ensure accuracy and effective operation, followed by continuous testing with the client's protocols in mind.

Total Average Time: 26 weeks across 6 stages.

Minimal Client Effort: Designed for minimal time commitment from client staff.

Immediate Results: Aims for quick impact.

Six Stages: 

• Intake      (4 weeks): Initial assessment and design.
• Design:     (4 weeks) Process and solution document creation, design      validation.
• Development      (8 weeks): AI Agent solution development/training including      weekly client tests.
• Test/Training      (8 weeks): User Acceptance Testing (UAT) and      revisions.
• Go-Live      (2 weeks): Production transfer, bug fixing, and      monitoring.
• Hand-Over:     Client handover.

Client Involvement:Ranges from 1-4 hours per stage, depending on the role (workflow, process, or IT lead) and stage.

Flexibility:Final lead time and capacity depend on the complexity and number of processes