Revolutionizing Healthcare: AI's Role in Access and Affordability

Table of Contents

1. Introduction
2. The Challenges in Healthcare
3. Solving the Problem with Artificial Intelligence
4. The Need for Better Care for Stroke Patients
5. Finding a Solution with Cure
6. The Benefits of Using qer
7. Case Study: Improving Stroke Reporting Turnaround Time
8. Reducing Stress on Radiologists and Operating Teams
9. The Appreciation from Referring Doctors
10. Conclusion

Improving Healthcare Access and Affordability through Artificial Intelligence

Introduction

In today's world, quality healthcare is a necessity for everyone. However, the field of healthcare often faces challenges that prevent it from being accessible and affordable to all. This article explores the use of artificial intelligence to overcome these challenges and improve healthcare outcomes. We will focus on a specific case study involving the partnership between RT Scans, one of India's largest diagnostic providers, and Cure, a company specializing in AI-driven healthcare solutions.

The Challenges in Healthcare

Healthcare is a field of asymmetries, where finding out what's wrong with a patient and providing Timely and cost-effective treatment can be a complex process. Many individuals struggle with the financial burden of diagnostic tests, which can make their treatments unaffordable. Additionally, the shortage of radiologists further exacerbates the issue, leading to delayed reporting of critical conditions such as strokes and head injuries.

Solving the Problem with Artificial Intelligence

To address these challenges, RT Scans teamed up with Cure, leveraging their expertise in artificial intelligence to make healthcare more accessible and affordable. Cure's mission aligns perfectly with the vision of RT Scans, as they aim to use AI to diagnose diseases without burdening patients with exorbitant costs.

The Need for Better Care for Stroke Patients

India, with only around 10,000 radiologists, faces a significant shortage in the field. Despite this, there are millions of radiology studies conducted daily in the country. Patients suffering from strokes or head injuries require emergency diagnosis and treatment to prevent permanent brain tissue damage. The shortage of radiologists and the urgency of these cases prompted RT Scans to search for a solution that could provide better care for their stroke patients.

Finding a Solution with Cure

When RT Scans came across Cure, they were impressed by the company's FDA clearances for their head CT solution, as well as multiple Peer-reviewed Papers supporting their accuracy. This led RT Scans to conduct a pilot study, which confirmed the astonishing results and accuracy of Cure's solution. The integration with RT Scans' PACS and RIS software was seamless, and the team at Cure demonstrated excellent capabilities in customization, feature updates, and quick integration.

The Benefits of Using qer

RT Scans decided to utilize Cure's qer solution for preliminary reporting and triaging of trauma and stroke patients. The CT brain solution provided high accuracy for fractures, hemorrhages, and midline shifts, with customizable threshold levels for various findings. The solution also proved to be reliable for infants. Since implementing qer, RT Scans has processed over 2000 studies. Approximately 21% of patients were reported as critical, with significant cases of intracranial hemorrhage, fractures, mass effect, and midline shift.

Case Study: Improving Stroke Reporting Turnaround Time

By using qer as a tool for preliminary reporting, RT Scans successfully reduced the symptom-to-treatment time for stroke patients from two to three hours to less than an hour. The integration of qer with the silct scanner allowed for automatic assignment of images to Cure's model, resulting in reports being processed and sent back within five to seven minutes. This quick turnaround time enables Prompt triaging and informs the referring physician of the findings, leading to faster decision-making and treatment initiation.

Reducing Stress on Radiologists and Operating Teams

The implementation of qer has not only improved stroke and head injury reporting turnaround time but has also significantly reduced stress on RT Scans' radiologists and operating teams. By automating the preliminary reporting process, the burden on radiologists is alleviated, allowing them to focus on critical cases. Additionally, the operating teams experience reduced pressure, resulting in enhanced care for emergency patients.

The Appreciation from Referring Doctors

The preliminary reporting feature of qer is easily understood by referring doctors, who appreciate the sub 10-minute CT reporting. The clear and concise reports enable faster decision-making, ensuring that patients receive timely and appropriate treatment. The collaboration between RT Scans and Cure has received positive feedback, with referring doctors acknowledging the significant value added to their practices.

Conclusion

The partnership between RT Scans and Cure, leveraging the power of artificial intelligence in healthcare, has demonstrated a remarkable improvement in healthcare access and affordability. By using Cure's qer solution, RT Scans has been able to provide better care for stroke patients, reduce reporting turnaround time, and alleviate the burden on radiologists. The success of this collaboration highlights the potential for AI-driven solutions to revolutionize healthcare and make it more accessible to all.

Highlights

• Leveraging artificial intelligence to improve healthcare access and affordability
• Partnering with Cure to address challenges in diagnostic reporting
• Achieving significant reduction in symptom-to-treatment time for stroke patients
• Reducing stress on radiologists and operating teams through automation
• Appreciation from referring doctors for sub 10-minute CT reporting
• Demonstrating the potential of AI-driven solutions in revolutionizing healthcare.

FAQ:

Q: How has Cure's qer solution improved stroke reporting turnaround time? A: By automating the reporting process, qer has reduced the time from symptom presentation to treatment initiation for stroke patients from two to three hours to less than an hour.

Q: What benefits does qer offer for radiologists and operating teams? A: Qer alleviates the burden on radiologists by automating preliminary reporting, allowing them to focus on critical cases. Operating teams also experience reduced stress, resulting in enhanced care for emergency patients.

Q: How do referring doctors appreciate the qer solution? A: Referring doctors highly appreciate the sub 10-minute CT reporting provided by qer. The clear and concise reports enable faster decision-making and ensure timely and appropriate treatment for patients.