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Blockchain in Healthcare Use Cases

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Blockchain technology is garnering widespread adoption and inclusion in every industrial sector. Despite acquiring immense popularity through the financial sphere, it has a variety of opportunities that has created a huge hype around the healthcare industry, encompassing everything from research and logistics to relations between practitioners and their patients.

As the healthcare sphere directly impacts the quality of our lives, it has to be a prime priority in terms of digital transformation through blockchain. As a result, healthcare organizations are looking to partner with blockchain consultants to facilitate the adoption of this technology in healthcare projects.

Research and Markets predict that the global blockchain technology market in the healthcare industry is expected to exceed $500 million with a CAGR of 61.4% by 2022. According to IDC, 55% of all healthcare applications will employ blockchain for commercial purposes by 2025.

There are numerous ways through which Blockchain technology in healthcare can yield positive results for the industry. Let’s know how blockchain intertwines with healthcare through the following use-cases.

  • Drug Traceability

Counterfeit drugs are a major issue in the pharmaceutical industry. Bussinseese associated with healthcare is vulnerable to lose colossal funds due to counterfeiting drugs. Also, fake drugs can kill patients. Data remains unalterable on the blockchain. It becomes easier to discern the fraudulent activity, identify real prescriptions from the fake ones along with the source of drugs. It is because the data remains unalterable until prescription issuance or drug distribution is introduced. Hence, it can bring about positive results of blockchain, thereby preventing and tracing the misused drugs.

  • Patient Data Management and Sharing

The Healthcare system often struggles with data siloes, which implies that patients and their care providers lack complete medical histories. The blockchain empowers the data management system to store overall medical records, including diagnosis, previous treatment regimens, examination results and even the measurements noted by personal smart devices. Thus, patients and doctors can always access medical data and treatment details without allowing any third party like an insurance company to get the information. 

  • Tracking Clinical Trials and Research
    Clinical trials involve multiple parties like study subjects, study sponsors, drug manufacturers, medical device providers, doctors, analysts, researchers, etc. A medical trial needs privacy with secured data exchange. Incorporating blockchain in clinical trials will result in time-stamping of all documents for safe storage. These documents consist of project proposals, research design, surveys, blood tests, and informed consent of the participating parties. Blockchain can add credibility to the research performed, as every document on the blockchain becomes verifiable, reduces audit costs and the possibility of theft datasets. 
  • Supply Chain Management

The healthcare supply chain is a complex process due to heavy regulations and challenging quality control and compliance. Using blockchain can overcome all these logistical issues, thereby imparting smooth functioning of the overall industry. The interoperability between blockchain networks results in drug traceability from the manufacturer to the end consumer. The immutable nature of blockchain ensures easy tracking, quality control and compliant levels.

  • Incentivization Through Micropayments

Blockchain also plays a crucial role in facilitating health data monetization for people willing to share their medical data for research purposes in return for a financial reward. Blockchain can then store their health information and facilitate transactions via cryptocurrency payments. Also, micropayments are value-based models that can reward patients if they follow doctors’ advice and prescribed lifestyles. Blockchain’s smart contracts enable these micropayments to encourage patient behavior and offer incentives to pursue a specific care plan or exchange data concerning treatment, review and reach the patient from time to time.

  • Improvised Billing Audatability

The existing processes are inadequate in detecting intentional and unintentional fraudulent activities related to billing. These cases may arise due to human mistakes, overdue payments, and fraud committed with stolen patient identities. Blockchain can go miles towards improving billing transactions by minimizing denied claims, quickly reporting underpayments, reducing human errors and eliminating blatant theft.

  • Tracking Service Flow

The flow of medical services could arise various issues concerning insurance, claims and donations. Insurance frauds like under treatment or overtreatment can claim lives and spill into billions of dollars. Donations may wind up in the wrong hands with financial mishaps due to a lack of transparency in the existing systems. With blockchain, smart contracts can remove all unwanted intermediaries in insurance and claiming processes. When a patient undergoes a process covering insurance, the smart contracts get triggered to transfer money from payer to care providers.

  • Credentialing and Verification

Blockchain acts as a trustworthy database and can be used as a credential verification system for medical institutions on hiring a physician, practitioner or medical staff. Checking the candidate’s name in a blockchain incorporated system will ensure the relevant experience, licenses and competency to work with patients. Blockchain being tamper-proof and immutable can eliminate the possibility of fake documents. Also, the information about the drug’s origin will ensure the quality provided by the registered pharmacy licensed to produce medicines.

Blockchain technology and healthcare make a promising match, where one of them deals with sensitive information and the other safeguards it with secured data sharing. Leveraging blockchain use cases in healthcare showcases plentiful benefits, which will foster the improvement of the entire healthcare ecosystem.

With such growing traction, various blockchain companies have marked their involvement in healthcare. Choosing a leading blockchain development company can assist you in approaching your desired blockchain-powered solution. Combining the experience and expertise in custom healthcare software development, you can build customized solutions including mHealth apps, patient engagement and monitoring softwares and EHR (Electronic Health Records)softwares for streamlining the medical workflows with emerging technologies.

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Qualcomm Broadens Snapdragon X Series for AI-Powered PCs

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A well-known chip manufacturer worldwide, Qualcomm has announced plans to increase the range of its Snapdragon X Series products. According to the details, the new expansion will bring a new platform that will benefit more Windows PCs by offering better performance, longer battery life, and on-device AI capabilities.

Beginning in the middle of 2024, original equipment manufacturers (OEMs) plan to release PCs with Snapdragon X Plus and Snapdragon X Elite technology together.

The company released a statement describing the Snapdragon X Plus’s “Qualcomm Oryon CPU,” a specially integrated processor that offers up to 37% faster performance than rival models while using up to 54% less power.

“With radical new AI experiences emerging in this period of rapid development and deployment, Snapdragon X Plus will power AI-supercharged PCs that enable even more users to excel,” stated Kedar Kondap, SVP and general manager of Qualcomm Technologies’ compute and gaming division.

Kondap continued, “We are once again pushing the boundaries of what is possible in mobile computing by delivering leading CPU performance, AI capabilities, and power efficiency.”

The Qualcomm Hexagon NPU, which can process 45 TOPS (tera operations per second), powers the chip, which is said to be the fastest laptop NPU in the world. It is made to meet the demands of on-device AI-driven applications.

The Snapdragon 7+ Gen 3 chipset, the newest member of the Snapdragon 7-series lineup, is released by Qualcomm. With major improvements to both performance and features, it is positioned as the most sophisticated mid-range chipset to date. Its compatibility with on-device generative AI models, including Baichuan-7B, Llama 2, and Gemini Nano, is one noteworthy improvement. With this chipset, CPU performance is improved by up to 15% and GPU performance is impressively improved by 45% over its predecessors.

Photography enthusiasts will find the Snapdragon 7+ Gen 3 chipset ideal as one of its notable features is support for taking 200-megapixel high-resolution photos. To ensure faster and more dependable wireless connectivity, it also has advanced connectivity options like Wi-Fi 7. Users can also enjoy lightning-fast 5G speeds because it is compatible with both Sub6 and mmWave 5G networks.

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Neura AI Blockchain Opens Public Testnet for Mainnet Development

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The “Road to Mainnet” campaign by Neura AI Blockchain lays out a complex roadmap that is expected to propel the mainnet to success. With its smooth integration of AI, Web3, and Cloud computing, this much anticipated Layer-1 blockchain offers state-of-the-art Web3 solutions.

Neura has started a new collection on Galxe to commemorate this accomplishment and give users the chance to win a unique Neura NFT.

Neura’s strategy plan outlines how to get the Neura Network in front of development teams that are excited to explore the potential of blockchain technology. Neura AI Blockchain solves issues faced by many Web3 startups with features like an Initial Model Offering (IMO) framework and a decentralized GPU marketplace.

Web3 developers are invited to participate in the AI Innovators campaign, which Neura has launched to demonstrate its capabilities, in exchange for tempting prizes.

This developer competition aims to showcase Neura Blockchain’s AI and platform capabilities, supporting its ecosystem on the Road to Mainnet, rather than just be a competitive event.

Neura Blockchain is at the forefront of utilizing blockchain and artificial intelligence in a world where these technologies are rapidly developing. Because of its custom features that unlock the best AI features in the Web3 space, its launch in 2024 is something to look forward to.

The Road to Mainnet public testnet competition, according to Neura, will highlight important Web3 features like improving the effectiveness of deploying and running AI models, encouraging user participation, and creating a positive network effect among these overlapping technologies.

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Microsoft Introduces Phi-3 Mini, its Tiniest AI Model to date

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The Phi-3 Mini, the first of three lightweight models from Microsoft, is the company’s smallest AI model to date.

Microsoft is exploring models that are trained on smaller-than-usual datasets as an increasing number of AI models enter the market. According to The Verge, Phi-3 Mini is now available on Hugging Face, Ollama, and Azure. It has 3.8 billion parameters, or the number of complex instructions a model can understand. Two more models are planned for release. Phi-3 Medium and Phi-3 Small measure 14 billion parameters and seven bullion parameters, respectively. It is estimated that ChatGPT 4 contains more than a trillion parameters, to put things into perspective.

Released in December 2023, Microsoft’s Phi-2 model has 2.7 billion parameters and can achieve performance levels comparable to some larger models. According to the company, Phi-3 can now perform better than its predecessor, providing responses that are comparable to those that are ten times larger.

Benefits of the Phi-3 Mini

Generally speaking, smaller AI models are less expensive to develop and operate. Because of their compact design, they work well on personal computers and phones, which facilitates their adaptation and mass market introduction.

Microsoft has a group devoted to creating more manageable AI models, each with a specific focus. For instance, as its name would imply, Orca-Math is primarily concerned with solving math problems. T.

There are other companies that are focusing on this field as well. For example, Google has Gemma 2B and 7B that are focused on language and chatbots, Anthropic has Claude 3 Haiku that is meant to read and summarize long research papers (just like Microsoft’s CoPilot), and Meta has Llama 3 8B that is prepared to help with coding.

Although smaller AI models are more suitable for personal use, businesses may also find use for them. These AI models are ideal for internal use since internal datasets from businesses are typically smaller, they can be installed more quickly, are less expensive, and easier to use.

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