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Solana: The Next in Blockchain

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Blockchain, a term synonymous with Bitcoin or Dogecoin, disrupted the global equity market when first launched. A highly hyped terminology, blockchain is nothing more than a digital system for recording transactions and related data in multiple places at the same time. 

It is a type of distributed ledger technology, where every transaction in the ledger is authorized by the digital signature of the owner. This makes ledgers tamper-proof. Hence the information in the digital ledger is highly secure.

Now, its application has expanded to many areas. From supply chain and logistics to BFSI, from manufacturing to entertainment, blockchain has helped streamline processes and increase efficiency.

It is a common belief that blockchain and cryptocurrencies like Bitcoin, and Solana are the same. But in reality, cryptocurrencies rely on blockchain technology to be secure.

What makes Blockchain so popular?

Highly Secure

As blockchain technology uses digital signatures it is almost impossible to corrupt or change one user’s data by the other user without a specific digital signature.

Decentralized System

There is no need for regulatory bodies like the government or banks to approve transactions. In blockchain, transactions are done with the mutual consensus of users resulting in safer and faster transactions.

Automation Capability

It is programmable and can generate systematic actions, events, and payments automatically when the criteria of the trigger are met. So validating transactions is completely automated.

How Does Blockchain Technology Work?

Blockchain is a combination of three leading technologies:

Cryptographic keys

A peer-to-peer network containing a shared ledger

A means of computing, to store the transactions and records of the network

Each individual has two cryptographic keys – A private key and a Public key. The data is digitally signed using the Private key and can be verified using the public key.

Also if user-1 wants to send some transaction data to user-2 then he/she will hash the data with user-2’s public key, so only user-2 can confirm the transaction using his/her private key.

The digital signature is merged with the peer-to-peer network; a large number of individuals who act as authorities use the digital signature to reach a consensus on transactions.

Blockchain users employ two cryptography keys to perform different types of digital interactions over the peer-to-peer network.

Secure hashing in blockchain

Blockchain technology uses hashing and encryption to secure the data, relying mainly on the SHA256 algorithm. 

Blockchain And It's Structure

Secure Hash Algorithm-256(SHA-256) is a cryptographic hash function designed by the United States National Security Agency (NSA). SHA 256 produces fixed size 256 bits output for variable-size input.

The sender’s private key and public key, the receiver’s public key, and the transaction are hashed using SHA256 and transmitted all over the network, and added to the blockchain after verification. The SHA256 algorithm makes it almost impossible to hack the hash encryption, which in turn simplifies the sender and receiver’s authentication.

What is Solana?

Solana is a blockchain platform designed to host decentralized, scalable applications.

Founded in 2017 by Anatoly Yakovenko, and co-founded by Raj Gokul (COO at Solana), Solana (Solana’s cryptocurrency is SOL) is currently backed by experiences from top organizations like Google, Microsoft Intel, etc. 

It is a web-scale blockchain that provides fast, secure, scalable, and decentralized apps. The system currently supports 50,000 TPS (Transactions per second) and 400ms Block Times. The overarching goal of the Solana software is to demonstrate that there is a possible set of software algorithms using the combination to create a blockchain. So, this would allow transactions to scale proportionally with network bandwidth satisfying all properties of a blockchain: scalability, security, and decentralization. Furthermore, the system can support an upper bound of 710,000 TPS on a standard gigabit network and 28.4 million TPS on a 40-gigabit network. 

The core innovation that underlays the Solana Network is Proof of History, — a proof of historical events. Utilizing Proof of History creates a historical record that proves that an event has occurred at a specific moment in time. Whereas other blockchains require validators to talk to one another to agree that time has passed, each Solana validator maintains its clock by encoding the passage of time in a simple SHA-256, sequential-hashing verifiable delay function (VDF).

One of the most difficult problems in distributed systems is agreement on time. I believe Proof of History provides this solution and Solana is built using blockchain-based on it.

Nodes in the blockchain network which is a distributed system can’t trust an external source of time or any timestamp that appears in a message. There are solutions like Hashgraph which verify if the timestamp in a message is accurate but these methods are very slow.

What if instead of trusting the timestamp you could prove that the message occurred sometime before and after an event? When you take a photograph with the cover of the Times of India, you are creating a proof that your photograph was taken after that newspaper was published, or you have some way to influence what Times of India publishes. With Proof of History, you can create a historical record that proves that an event has occurred at a specific moment in time.

Proof of History

The Proof of History (POH) is a high-frequency Verifiable Delay Function. A Verifiable Delay Function requires a specific number of sequential steps to evaluate, yet produces a unique output that can be efficiently and publicly verified. 

For a SHA256 hash function, this process is impossible to parallelize without a brute force attack.

We can then be certain that real-time has passed between each counter as it was generated, and that the recorded order of each counter is the same as it was in real-time.

Verification in POH

While the recorded sequence can only be generated on a single CPU core, the output can be verified in parallel.

Each recorded slice can be verified from start to finish on separate cores in 1/(number of cores) time it took to generate.

Architecture on how to interact with Solana

Client programs are exposed to users through web applications or CLI. Client code is language agnostic. It can be written in programming languages such as Python, Rust, JavaScript, C++, etc. The client program makes requests to JSON RPC. JSON RPC routes data to the Solana program that is on the chain. Solana currently supports writing programs in Rust and C/C++. The program modifies the state of the blockchain which is called Account. JSON RPC is the middle layer that routes objects sent by clients to the Solana program. These objects are called transactions(tx). This program further processes the transactions to modify the state of the account.

Clients can also request the data. Data that was written into the account can be requested by the user using JSON RPC.

Goal of Solana programming

As discussed before, the goal of the Solana program is to take in user input to modify the chain state.

https://github.com/solana-labs/example-helloworld.git  is a GitHub link to a simple Solana project. 

This project comprises:

A simple on-chain hello world Solana program written in Rust.

A client program is written JS using Solana web3.js SDK. The client program can simply send “hello” to an account and get back the number of times “hello” has been sent.

Now let’s look into one of the use cases of the Solana blockchain in the health insurance sector

Blockchain in health insurance to simplify Claim settlement process

Claim process can be divided into three main phases

Phase 1: Insurance Providers register on Public Blockchain

In the first phase, the process will be more or less as defined below:

The main stakeholders involved in the first phase are Insurance Providers, Insurance Brokers, and policy portal admins. Every stakeholder involved in the process would have their private keys to add records to the blockchain. Insurance Providers who provide different types of insurance can add the policy details on the public blockchain. For example, if a health insurance provider has to add the plans, they would save details like claim bonus, types of treatment covered, network hospital details, etc. on the public blockchain.

Insurance Brokers will be accessing the details saved by insurance providers on the public blockchain and can rate the insurance policies in the blockchain. The rating provided will help insurance companies and consumers to make informed decisions. Policy portal admins will fetch the insurance plans from the blockchain and add them to their portal. Using blockchain, policy portals like “Policybazaar” spend less time and manual effort contacting insurance providers like “care health insurance”.

Phase 2: Consumers Search and Buy Policies

The stakeholders involved in the second phase are Consumers and insurance companies. Consumers search for the specific insurance policy using their mobile app or website. A list of relevant policy details saved on the public blockchain will be fetched and displayed. 

After a customer selects the insurance plan from a specific insurance provider, the next step is to buy the policy. So, the consumer would have to upload necessary documents such as address proof, income proof, etc. to the distributed database. These documents will have their addresses hashed and stored on the private blockchain.

Insurance Companies get notified as soon as the consumer buys the insurance. Insurance companies start verifying the consumer’s details and add the consumer to their private blockchain after validation. Acknowledgment is sent by insurance providers to the consumers about plan activation because the records of transactions stored on blockchain are immutable and traceable, there will be no insurance fraud chances.

Phase 3: Claim Request

The stakeholders involved in the third phase of the blockchain insurance process are:

Consumers, who require a claim in case of any damage, loss, medical treatment, or accident.

Loss Adjuster/Auditor, who verifies if the consumer is liable to get the claim amount or not.

Insurance Company, which provides the claim to the consumers.

In the case of medical treatment, a consumer requests the claim amount from the insurance provider. For example, suppose some consumer is diagnosed with some illness and wants to undergo treatment with a cashless claim. Consumers would have to share the documents supporting evidence on the private blockchain such as scan reports, doctor’s advice, etc.

The documents will be saved in a private blockchain which will be visible to the insurance company. The insurance company verifies the documents and sends the claim account’s breakdown to the consumer. The claims amount is automatically transferred to the consumer or hospital (cashless claim) with the help of smart contracts.

Current challenges faced in Health Insurance

The healthcare insurance industry is one of the most inefficient, fraud-prone sectors today. It faces multiple challenges with which blockchain technology can help significantly.

With blockchain technology, healthcare insurers can:

  • Maintain patient privacy 
  • Give data sharing controls to patients 
  • Store time-stamped medical records with cryptographic signatures on a shared ledger.
  • Enable fine permission settings to ensure regulation compliances

MedRec

Introduced by MIT, MedRec is a decentralized medical records management system that indexes healthcare records on the blockchain and allows access to authorized individuals. It helps to ensure the privacy of patients, along with easing the information verification process. 

The first implementation of MedRec was done by using the Ethereum blockchain platform. The code is open-source, and the developers of MedRec are working with new healthcare IT center to develop a deployed network.

In a nutshell

Blockchain is a highly secure decentralized system that eliminates regulatory authorities. This makes transactions made using blockchain secure and fast compared to traditional approaches. Apart from cryptocurrency Blockchain technology can be used in multiple domains like Insurance, real estate, money transfer, manufacturing, etc.

Solana has solved the problem of timestamp verification using Proof of History. It can support up to 50k transactions per second because of POH which is faster than “proof of work” used in bitcoin or “proof of stake”.

As we saw in the blockchain-based insurance use case, blockchain and Solana can revolutionize the insurance industry by streamlining time-consuming insurance processes. Blockchain solves a lot of practical problems that exist in the current health insurance sector, this includes maintaining patient privacy and storing time-stamped medical records with cryptographic signatures which are tamperproof.  

About the author:

Imran is a Sr. Software Engineer at Mantra Labs working on AI/ML-related projects. A passionate technologist, he has worked in the field of NLP and Computer Vision. Apart from tinkering with new technologies like blockchain, his interests are playing Badminton and chess.

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CX Innovations in Healthcare: Doctor Engagement Strategies in the USA

The importance of customer experience (CX) in healthcare cannot be overstated. A positive CX is crucial not only for patient satisfaction but also for the overall efficiency and success of healthcare providers. One critical aspect of CX in healthcare is doctor engagement, which refers to the strategies and practices used to involve doctors in the healthcare delivery process actively.

Doctor engagement is essential for several reasons. Firstly, engaged doctors are more likely to be committed to their work, leading to better patient care and outcomes. Secondly, effective doctor engagement can improve communication and collaboration among healthcare professionals, enhancing the quality of healthcare services. Finally, engaged doctors can provide valuable insights and feedback, helping healthcare organizations to continuously improve their services and adapt to changing patient needs.

State of Doctor Engagement: Pre-Innovation Era

Traditionally, doctor engagement in healthcare was primarily focused on face-to-face interactions and personal relationships. Doctors were engaged through regular meetings, conferences, and direct communication with hospital administrators and other healthcare staff. While these methods were effective to some extent, they had several limitations.

One major limitation was the lack of scalability. As healthcare organizations grew and the number of doctors increased, it became challenging to maintain the same level of personal engagement with each doctor. Additionally, traditional engagement methods were often time-consuming and resource-intensive, making them unsustainable in the long term.

Another limitation was the lack of data-driven insights. Traditional engagement practices relied heavily on anecdotal evidence and personal experiences, which did not always provide a complete or accurate picture of doctor engagement levels. This made it difficult for healthcare organizations to measure the effectiveness of their engagement strategies and identify areas for improvement.

Furthermore, the pre-innovation era of doctor engagement often lacked customization and flexibility. Engagement strategies were typically one-size-fits-all, failing to account for the diverse needs and preferences of individual doctors. This lack of personalization could lead to disengagement among doctors who felt that their unique contributions and perspectives were not being valued.

Emerging Problems and the Need for Innovation

As the healthcare industry continued to evolve, several emerging problems highlighted the need for innovation in doctor engagement strategies. One significant issue was the increasing complexity of healthcare delivery. With advancements in medical technology and the growing diversity of patient needs, doctors were required to navigate more complex treatment options and care protocols. Traditional engagement methods often fell short in providing the support and resources needed to manage this complexity effectively.

Another problem was the rising demand for healthcare services, fueled by factors such as an aging population and the prevalence of chronic diseases. This increased demand put pressure on doctors, leading to burnout and dissatisfaction. Without effective engagement strategies, healthcare organizations struggle to retain skilled doctors and maintain high levels of patient care.

The digital transformation of healthcare also posed challenges for doctor engagement. The adoption of electronic health records (EHRs), telemedicine, and other digital tools required doctors to adapt to new ways of working. However, the lack of proper training and support for these digital tools often led to frustration and resistance among doctors, hindering their engagement.

Moreover, the shift towards value-based care, which focuses on patient outcomes rather than the volume of services provided, required a more collaborative approach to healthcare. Traditional doctor engagement methods were not always conducive to fostering teamwork and shared decision-making, making it difficult to align doctors with the goals of value-based care.

These emerging problems underscored the need for innovative solutions that could address the changing dynamics of healthcare delivery and support effective doctor engagement in the modern era.

Innovative Solutions: Transforming Doctor Engagement

In response to these challenges, a range of innovative solutions emerged to transform doctor engagement in healthcare. One key innovation was the development of digital platforms and tools designed specifically for doctor engagement. These platforms provided a centralized hub for communication, collaboration, and access to resources, making it easier for doctors to connect with their peers and stay informed about the latest developments in their field.

Another significant innovation was the use of data analytics and artificial intelligence (AI) in doctor engagement. By analyzing data on doctor behavior, preferences, and performance, healthcare organizations could gain insights into what drives doctor engagement and tailor their strategies accordingly. AI-powered tools could also help identify patterns and trends in doctor engagement, enabling proactive interventions to prevent disengagement.

Gamification techniques were also applied to doctor engagement, leveraging the principles of game design to make engagement activities more interactive and rewarding. For example, doctors could earn points or badges for participating in training sessions, contributing to research, or achieving certain performance metrics. This approach helped to motivate doctors and make engagement more enjoyable.

In addition, there was a growing emphasis on personalized engagement strategies that recognized the individual needs and preferences of doctors. Personalized communication, tailored training programs, and flexible engagement options allowed doctors to engage in ways that suited their unique circumstances and preferences.

These innovative solutions represented a significant shift in how healthcare organizations approached doctor engagement. By leveraging technology, data, and personalization, they could create more effective and sustainable engagement strategies that address the challenges of modern healthcare delivery.

To illustrate the impact of these innovative solutions, let’s examine some case studies of healthcare organizations that have successfully implemented new doctor engagement strategies:

Digital Collaboration Platform

A large hospital system introduced a digital collaboration platform for its doctors. This platform allowed physicians to easily communicate with each other, share knowledge, and access patient information securely. As a result, the hospital saw improved coordination among doctors, leading to better patient outcomes and increased doctor satisfaction. A real-world example can be given of Connect2Clinic, a doctors’ portal developed by Mantra Labs for Alkem Labs. The solution allows doctors to manage their patients efficiently with lots of handy features and effectively run operations. It is a complete clinic management solution.

AI-Driven Feedback Tool

Another healthcare provider implemented an AI-driven tool that collected and analyzed feedback from doctors in real time. This tool helped identify areas for improvement in hospital operations and doctor support services. By addressing these issues promptly, the healthcare provider was able to enhance doctor engagement and reduce turnover rates.

Personalized Learning Programs

A specialty clinic developed personalized learning programs for its doctors, offering courses and resources tailored to their interests and career goals. This approach led to higher participation rates in training programs and a more engaged medical staff who felt valued and supported in their professional development.

Challenges and Considerations in Implementing Innovations

While innovative solutions for doctor engagement offer numerous benefits, healthcare organizations may encounter challenges in their implementation. Here are some key considerations:

  1. Resistance to Change: Doctors, like any other professionals, may resist new technologies or processes. Addressing concerns, providing adequate training, and demonstrating the value of innovations are crucial steps in overcoming resistance.
  2. Integration with Existing Systems: New engagement tools must seamlessly integrate with existing healthcare systems, such as EHRs, to avoid disruption and ensure smooth operation.
  3. Data Privacy and Security: With the increased use of digital platforms, protecting patient and doctor data is paramount. Healthcare organizations must adhere to strict data privacy regulations and ensure robust security measures are in place.
  4. Cost and Resource Allocation: Implementing new technologies can be costly. Organizations must carefully plan their budgets and resources to support the adoption of innovative engagement strategies.
  5. Measuring Impact: It’s essential to have metrics in place to evaluate the effectiveness of engagement initiatives. Regular monitoring and adjustment of strategies based on data are necessary for long-term success.

Future of Doctor Engagement in Healthcare

Looking ahead, the future of doctor engagement in healthcare is likely to be shaped by ongoing technological advancements and evolving healthcare needs. Here are some potential trends:

  1. Increased Use of Telemedicine: The COVID-19 pandemic has accelerated the adoption of telemedicine. This trend is expected to continue, offering new opportunities for engaging doctors remotely.
  2. Personalized Engagement Platforms: As technology advances, we can expect more sophisticated platforms that offer personalized engagement experiences for doctors, tailored to their individual needs and preferences.
  3. Collaborative Healthcare Ecosystems: The future may see more integrated and collaborative healthcare ecosystems, where doctors, patients, and other stakeholders are closely connected through digital platforms, enhancing engagement and communication.
  4. Focus on Well-being: With growing awareness of doctor burnout, future engagement strategies may place a greater emphasis on supporting doctors’ well-being and work-life balance.
  5. Leveraging AI and Machine Learning: These technologies will continue to play a significant role in analyzing engagement data, predicting trends, and providing insights for improving doctor engagement strategies.

As healthcare continues to evolve, staying ahead of these trends and adapting engagement strategies accordingly will be crucial for healthcare organizations seeking to foster a highly engaged and motivated medical workforce.

Doctor engagement is a critical component of delivering high-quality healthcare. As the healthcare landscape evolves, so too must the strategies for engaging doctors. The innovations discussed in this blog, from digital collaboration platforms to personalized learning programs, offer promising solutions to the challenges of doctor engagement in the modern era.

The success stories and data presented highlight the tangible benefits of these innovative strategies, including improved patient outcomes, increased doctor satisfaction, and enhanced operational efficiency. However, healthcare organizations must navigate challenges such as resistance to change, data privacy concerns, and the integration of new technologies with existing systems.

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