Blockchain is a new technology that has attracted a tremendous amount of interest. However, up to now, blockchain has mainly been used to develop decentralized multi-party applications. This presentation describes breakthrough technology that deeply integrates blockchain into the Oracle database. Since virtually all critical data are stored in databases, this makes it possible to implement blockchain in mainstream healthcare and enterprise applications with minimal changes. We will begin by introducing the threats posed by hackers and compromised insiders. Then we will describe how in-database blockchain can protect data against these threats, comparing this against conventional blockchains. Use cases are shared from customers that have adopted this technology. Learning Objectives Understand the concepts behind crypto-security and the threats it addresses Explore the challenges of the adoption of blockchain Learn how database-integrated blockchain can be used to protect critical data against tampering What are the advantages and disadvantages of a database-integrated blockchain? Get an understanding of the types of healthcare data that can be protected using blockchain

Properly managing healthcare data is a complex endeavor that must balance the requirements and interests of many stakeholders. In this paper, we present the findings from a panel discussion with healthcare professionals and academics, who elaborate on the current situation in healthcare data management as well as the future role that blockchain could play in this sector. Based on the findings of this panel, we structure the research field of healthcare data management and provide numerous avenues for future research. The outcome is a framework that highlights the important role of healthcare data and puts them into context. From a patient's perspective, we specifically elaborate on trust and privacy as well as the expected benefits. Additionally, four important data aspects are identified: integrity, security, interoperability, and, finally, sharing and transfer. We also outline the importance of current problems and derive several relevant and timely research questions that build the foundation of a research agenda for blockchain-driven innovation in healthcare data management. In summary, the framework will inform practitioners of blockchain's potential in healthcare and structure the area for researchers, who are called upon to investigate the respective topics in greater detail.

Speakers delve into and beyond the previously published BHHTY journal article “Moving Beyond Proof of Concept and Pilots to Mainstream: Discovery and Lessons from Blockchain in Healthcare,” located at https://doi.org/10.30953/bhty.v6.280. This continuous enterprise blockchain technology journey extends the framework and solution assemblies including further developments, with cross over into generative AI and ethics. Objectives Learn specific examples on the economics of blockchain revealing low-hanging fruit for the move from pilots to adoption. Explore concepts such as: Data integrity, minimal data, inter-entity streamlining leading to efficiencies, and what is already possible with tech stack developments and economics in efficiency (in millions) from the previously published BHTY article at DOI: https://doi.org/10.30953/bhty.v6.280 Learn from other verticals to build a framework that is more comprehensive encompassing global perspectives Future proofing and stair-stepping design for an evolving technology – holistic guidance to find and execute the opportunities Obtain a framework for blockchain adoption based on the article. In addition, authors address the academic view of blockchain adoption, and that it is a combination of tech, policy, economics, consumer engagement, and operationalization. Acquire multi-dimensional discovery and specific blockchain constructs including provenance- consensus, trust maps, convergence, dApp human loops, and future proofing /stair-stepping Grasp global perspectives on evolving frameworks with in many verticals and the multi-dimensional nature of blockchain transformation, operationalization, blockchain-enterprise landscape, and AI automation. Gain a better understanding of why is blockchain an essential technology for the future of responsible AI and for scalability of solutions

Panelists discuss blockchain technology use for electronic health records, and specifically delve into the benefits that blockchain brings to EHRs, but also discuss what its pitfalls and limitations are; including presenting perspectives from academia, and examplesfrom practitioners.
 Learning Objectives
 
 Understand the potential applications of blockchain for electronic health records (EHRs).
 Explore the benefits and challenges of implementing blockchain for EHRs, including security, interoperability, privacy, and data integrity.
 Identify key use cases and real-world examples of blockchain implementation in healthcare and EHR management.
 Analyze the potential impact of blockchain on improving healthcare data exchange, patient consent management, and medical research.
 Discuss the regulatory and legal considerations associated with using blockchain in healthcare, such as compliance with data protection laws and standards.
 Examine the role of smart contracts and decentralized applications (DApps) in enhancing EHR management and patient control over their health information.
 Assess the scalability and performance limitations of blockchain technology in handling large-scale healthcare data and high transaction volumes.
 Evaluate potential cost savings and efficiency gains achieved through blockchain implementation in EHRs, considering factors such as data access, auditability, and administrative overhead.
 Discuss the future prospects and challenges of integrating blockchain with existing healthcare systems, standards, and infrastructure to achieve widespread adoption and interoperability.


 
 
 This session will explore the real-world impact value-based procurement and subsequent contracting, and health technology pricing in the context of value-based care. We will delve into innovative business models that are reshaping the healthcare landscape, promoting cost-effectiveness, and enhancing patient outcomes. Attendees will gain valuable insights into the evolving strategies driving value-based care and its implications for healthcare providers, payers, and patients.
 Learning Objectives
 
 Understand the concept of value-based care and its significance in the current healthcare environment
 Explore the real-world impact of value-based pricing on healthcare delivery and patient outcomes
 Examine the role of value-based procurement/contracting in driving cost-effective healthcare solutions
 Gain insights into health technology pricing models and their impact on value-based care initiatives
 Identify innovative business models that support value-based care and improve patient outcomes

Our world has not caught up with technology, and as a result has become more dangerous and nefarious with clandestine actors. Learn what reputable organizations, businesses and academic pioneers are doing to preserve digital identity, data provenance, universal access, and secure privacy-preserving transactions, to harness socially responsible global data sharing.

The panel explores the application of blockchain technology within the healthcare sector, focusing on its potential to enhance trust, transparency, and connectivity while reinforcing patient-centered control of data access. The discussion examines the opportunities for patient empowerment and improved patient access to healthcare information through decentralized ledger technology. The panel features industry experts providing insights into current trends, challenges, and future prospects of blockchain in pharmaceuticals, emphasizing broader use cases beyond specific organizations. 
 Objectives
 
 Gain a comprehensive understanding of the role of blockchain technology in the pharmaceutical industry and its potential impact on patient care and relationships with the healthcare system.
 Explore the opportunities presented by blockchain for improving trust, transparency, and audibility in data sharing within the healthcare and medical environment.
 Understand the significance of patient-centered control in accessing, storing, and utilizing healthcare data and how blockchain can contribute to enhancing patient empowerment.
 Discuss the challenges and considerations associated with implementing blockchain in the pharmaceutical sector and explore strategies to overcome them while ensuring compliance with regulatory frameworks.


 The importance of data and digitization in healthcare cannot be overstated. These advancements have the potential to revolutionize the way healthcare is delivered, leading to improved patient outcomes, enhanced efficiency, and better decision-making by healthcare providers. Blockchain technology can play a significant role in addressing the main challenges like data accessibility, privacy, interoperability and patient empowerment, ultimately transforming the healthcare ecosystem into a data-driven economy

We utilized a 4D framework using ease of implementation, novelty, necessity, and fit of the overall industry to examine the adoption of blockchain technology in the pharmaceutical industry. Based on the 2D framework of difficulty and novelty as driving factors for the development of foundational technologies in the world of business by Iansiti and Lakhani, each application was ranked and scored for the best potential implementation. The potential applications proposed in this paper can be grouped into two main categories. The first category, management, includes best-use cases, such as health records, clinical trials, and inventory systems. The second category, monitoring, highlights cases, such as pharmaceutical products, preventing counterfeits, optimizing supply chains, and addressing prescription misuse and abuse. Each application was ranked by the four metrics in the framework, giving the greatest weight to necessity and ease of implementation. Using the highlighted methodology earlier, the applications for best implementation include Prescription Drug Misuse and Abuse Prevention, Prevention of Counterfeits, Clinical Trial Outcomes, and Smart Contracts. Blockchain technology offers a new and promising solution to the pharmaceutical industry's needs. To promote the most appropriate use, each application of blockchain technology must fit within the framework of necessity, ease of implementation, familiarity amongst stakeholders, and fit of the overall industry. By using the extended framework proposed by Iansiti and Lakhani, we show how blockchain, in all these domains, shows promise to improve pharmaceutical industry performance.

Blockchain technology has become crucial in improving the privacy and security of enterprise applications in the cyber world. However, scalability has become a significant concern for researchers in large organizations, especially those with complex hierarchies and access privileges. As a result, the existing models and consensus algorithms suffer from various issues. Medical centers and healthcare providers are particularly affected by this problem due to the vast amount of data, making it a critical weakness of traditional database management systems. To address this issue, the authors propose a hierarchical model within the Hyperledger Fabric enterprise application, focusing on the healthcare sector as a use case. This model includes multiple organizations at different levels of the hierarchy, such as hospitals, hospital governance, and insurance companies. The initial implementation of this model includes two levels of hierarchy, demonstrating networks of hospitals joining an insurance company. The primary objective of the experiment is to test and improve the network's performance using this model. The model's performance is evaluated by manipulating and scaling environmental factors such as the number of organizations, transaction numbers, channels, block intervals, and block sizes. The benchmarking tool used for this assessment is Hyperledger Caliper, which measures indicators such as success and failure rates, throughput, and latency. Currently, the research focuses only on testing the model's scalability using patient data.