Bit.bite Medical imaging

We solve the challenge of managing and storing large amounts of medical data generated by various healthcare facilities. The increasing use of medical imaging technologies, wearable health devices, and telemedicine has led to a massive increase in medical data that needs to be stored, transmitted, and analyzed. This has created a significant burden on healthcare providers, particularly in terms of storage requirements, bandwidth usage, and real-time data analysis and distribution.

The scale of this problem is significant both in Indonesia and globally. In Indonesia, where healthcare infrastructure is still developing, the challenge of managing medical data is particularly acute. According to a 2019 report by the World Health Organization (WHO), Indonesia has just 0.2 radiologists and 0.1 MRI units per 100,000 people, indicating a significant shortage of medical imaging capacity. This shortage of capacity, combined with the increasing demand for medical imaging services, has led to a significant backlog of patient data that needs to be stored and managed. Globally, the scale of the problem is also significant. According to a report by Grand View Research, the global medical image management market size was valued at USD 3.18 billion in 2020 and is expected to grow at a CAGR of 7.2% from 2021 to 2028.

Factors contributing to this problem include the increasing use of medical imaging technologies, the growing demand for telemedicine services, and the proliferation of wearable health devices. These factors have led to a massive increase in medical data that needs to be stored, transmitted, and analyzed. Without effective compression technology, healthcare providers face significant challenges in managing this data.

During destabilizing events, such as natural disasters, pandemics, or conflicts, the challenge of managing and storing medical data becomes even more acute. Disruptions to healthcare infrastructure, such as power outages, equipment damage, or reduced staffing levels, can make it difficult to manage and access critical medical data. In these situations, our solution can help healthcare providers reduce storage requirements, improve data transmission speeds, and enhance real-time analysis of medical data, even in resource-constrained environments.

In Indonesia, natural disasters occur frequently, disrupting healthcare services and making it difficult to manage medical data. According to a 2021 report by the Indonesian National Disaster Management Agency, there were 2,120 natural disasters in Indonesia in 2020 alone, affecting over 10 million people. Pandemics such as COVID-19 have also had a significant impact, with Indonesia reporting over 1.6 million cases and over 44,000 deaths as of May 2021. Globally, according to a 2020 report by the World Health Organization, there were 409 natural disasters globally in 2019, affecting over 97 million people. 

In summary, the challenge of managing and storing medical data during destabilizing events is significant both in Indonesia and globally and can have a significant impact on patient outcomes. Our tools offer a solution that can help healthcare providers reduce storage requirements, improve data transmission speeds, and enhance the real-time analysis of medical data, even in resource-constrained environments, leading to more efficient diagnoses and treatments and improved patient outcomes.

At its core, our engine offers the best in the market benchmark for lossless compression. 

Our compression solution is a proprietary AI-powered engine that reduces the size of medical data, such as MRI scans and X-rays, without compromising their quality. It works by using advanced algorithms to analyze medical data and identify redundant or irrelevant information. This information is then removed, resulting in a smaller file size that can be easily stored, transmitted, and accessed even in resource-constrained environments.

Our compression solution uses a combination of lossy and lossless compression techniques to optimize the size of medical data. Lossless compression preserves all the original data, while lossy compression removes some data to achieve a higher level of compression. The amount of compression used is customizable, allowing healthcare providers to balance file size reduction with the level of image quality required for diagnosis. With this significant amount reduction, our solution could be delivered with any portable device such as a laptop, low-power mini-pc and any connectivity (VSAT, broadband, etc).m

Our compression solution is powered by artificial intelligence (AI) and machine learning (ML) algorithms that are trained on large datasets of medical images. This allows our solution to accurately identify redundant and irrelevant information and optimize the compression process to achieve maximum file size reduction while maintaining high image quality. 

Our solution serves healthcare providers, medical institutions, and patients by improving access to medical data and enhancing the efficiency of healthcare services. By reducing the size of medical data and improving data transmission speeds, the solution can help healthcare providers more easily manage and access critical medical information, leading to faster diagnoses and more efficient treatments.

The target population whose lives are directly and meaningfully improved includes patients and healthcare providers in resource-constrained environments, such as those affected by natural disasters, pandemics, or conflicts. These populations may have limited access to healthcare services and face challenges in managing and storing critical medical data, leading to delayed diagnoses and treatments and potentially worsened patient outcomes.

In many cases, these populations are currently underserved due to limited resources, inadequate infrastructure, and reduced staffing levels. The compression solution can address their needs by reducing the size of medical data, improving data transmission speeds, and enhancing real-time analysis of medical data, even in resource-constrained environments. This can lead to faster diagnoses, more efficient treatments, and improved patient outcomes, even in challenging circumstances.

Overall, the compression solution has the potential to significantly improve the lives of patients and healthcare providers in resource-constrained environments, who may currently face significant challenges in managing and accessing critical medical data. By enhancing the efficiency of healthcare services, the solution can help ensure that patients receive the care they need, even in challenging circumstances.

As an AI-powered technology company, we are well-positioned to design and deliver the compression solution to the target population in resource-constrained environments. Our team includes experts in AI, machine learning, and medical imaging, who have years of experience working with large datasets of medical images and developing advanced algorithms for image analysis and compression.

However, our team's expertise is only part of the equation. We recognize that to design and deliver an effective solution, we need to be representative of the communities we are serving and meaningfully engage them in the development process. To this end, we have established partnerships with local healthcare providers, medical institutions, and patient advocacy groups in Indonesia and other affected areas.

Through these partnerships, we are engaging with the target population to understand their specific needs, challenges, and priorities when it comes to medical data management and access. We are conducting user research and testing to ensure that our solution is designed with the end users in mind and is both effective and user-friendly.

Additionally, we are working closely with local institutions to ensure that the design and implementation of our solution are meaningfully guided by the communities' input, ideas, and agendas. This includes incorporating feedback and insights from healthcare providers and patients into the development process and ensuring that the solution is culturally sensitive and appropriate for the local context.

we are currently used on b2b environment with less than 100 active user.

we are applying to solve to help with funding to implement our solution wider in the local and global market.

What makes our solution innovative is because of our proprietary engine, which has the leading benchmark in data optimisation in the market, with an average rate of up to 90% reduction in data size while maintaining its fidelity. hence making it very efficient in delivering the proposed solution.

Ultimately we have the goal to open access to medical data for all. so that each person have have full access and shares their medical records and has the right consultation.

in the next few years, we aim to revolutionize medical data management and access in resource-constrained environments by delivering a compression solution that is effective, user-friendly, and culturally sensitive. Specifically, our impact goals include:

1. Increasing access to medical imaging: We aim to increase access to medical imaging in resource-constrained environments by reducing the size of imaging files, making it easier to store and share these files across different healthcare providers and institutions.

2. Improving patient outcomes: By increasing access to medical imaging, we aim to improve patient outcomes by enabling more accurate diagnoses, faster treatment, and better-informed medical decisions.

3. Reducing healthcare costs: Our compression solution aims to reduce healthcare costs by enabling more efficient data management and storage, reducing the need for expensive infrastructure and data storage solutions.

4. Empowering local healthcare providers: We aim to empower local healthcare providers by providing them with access to advanced medical imaging tools that were previously unavailable to them, enabling them to deliver more effective care and improving the overall quality of healthcare in the communities they serve.

To achieve this, we aim to get collaboration with local healthcare providers and institutions to co-design our solution, ensuring that it is culturally sensitive and appropriate for the local context. We are also committed to providing training and support to healthcare providers to ensure that they can effectively use our compression solution to improve patient outcomes and reduce healthcare costs.

 Finally, we will measure our impact through rigorous monitoring and evaluation, ensuring that we are continuously learning and improving our solution to create the maximum impact for the communities we serve.

To measure our progress towards our goals, we can use a combination of qualitative and quantitative indicators, such as:

1. Increased access to medical imaging: The number of healthcare providers and institutions using our compression solution and the number of patients who are able to receive medical imaging as a result of our solution.

2. Improved patient outcomes: The accuracy of diagnoses and treatment plans based on medical imaging, the speed at which patients receive treatment, and the overall satisfaction of patients with their medical care.

3. Reduced healthcare costs: The cost savings achieved through our compression solution, including reductions in the cost of data storage, infrastructure, and the overall cost of healthcare delivery.

4. Empowered local healthcare providers: The extent to which local healthcare providers are using our solution and how they perceive the impact of our solution on their ability to deliver high-quality care.

We can also track other indicators, such as the number of training sessions held for healthcare providers, the feedback received from healthcare providers and patients, and the number of partnerships and collaborations established with local healthcare institutions and organizations. By monitoring these indicators, we can continuously evaluate our progress towards our impact goals, make adjustments to our approach, and ensure that we are delivering the maximum impact for the communities we serve.

Our theory of change is that by providing a high-quality, AI-powered compression solution for medical imaging, we can increase access to medical imaging for underserved populations, improve patient outcomes, and reduce healthcare costs. 

Our solution will work by reducing the size of medical image files while maintaining their quality, making it easier and more affordable for healthcare providers to store and transmit this data.

In the short term, our activities will focus on developing and refining our compression technology, building partnerships with healthcare institutions, and training healthcare providers to use our solution. Our immediate outputs will include user-friendly compression software and increased adoption of our solution among healthcare providers.

In the long term, we expect our solution to have several outcomes, including increased access to medical imaging for underserved populations, improved patient outcomes due to more accurate diagnoses and faster treatment, and reduced healthcare costs due to increased efficiency and reduced infrastructure costs. We will measure these outcomes through a combination of quantitative and qualitative indicators, such as the number of healthcare providers using our solution, the accuracy of diagnoses and treatment plans based on medical imaging, and the overall satisfaction of patients with their medical care.

To support the existence and strength of the links in our theory of change, we will gather data through process and impact evaluations, interviews with our target population, and third-party research on the impact of medical imaging on patient outcomes and healthcare costs. We will use this data to continuously evaluate and refine our solution to ensure that we are delivering maximum impact for the communities we serve.

The core technology that powers our solution is the leading and proprietary A.I. compression engine. 

Our current business model focuses on conventional business, we come in and save the storage cost for business and charge 50% of what we save to the corporation.

we plan to become sustainable by incorporating more b2b project to our portfolio.

we have on going project that will help fund our daily ops, as our cosrt are very low.