Let's talk about the future of healthcare IT, its trends and predictions. We will discuss about the emerging tech and the healthcare digital transformation. Also, we will talk a bit more on the healthcare data security and using blockchain technologies. let's talk about the global health, market, global health market. The digital health market has gone rapidly with an evaluation of, 97 billion in 2020. This indicates a surge in technology driven healthcare solutions globally. The projected compound annual growth rate of 15. 1 percent until 2028, that reflects a strong long term trend as healthcare becomes increasingly digitized. This growth is propelled by increased demand for telehealth, electronic health records, and other innovative health records, healthcare technologies that are streamlined patient care, improved diagnostics, and improve the healthcare management. The pandemic driven shift is a main cause like the COVID 19 fundamentally accelerated the adoption of digital health tools as face to face interactions become limited and the telehealth services surged by more than 150 percent. The pandemic forced the healthcare systems to rapidly adapt and many patients become comfortable using digital solutions for their healthcare needs. The shift is not temporary. It's likely to have a lasting impact as the advantages of digital health like convenience, efficiency and safety are clear for both patients and providers. Let's see what the future outlook. The healthcare industry is now looking ahead to transformative. technologies like, AI, machine learning and advanced analytics. So these technologies are poised to change how the patient care is delivered by enabling more precise diagnosis, personalized treatments, and more efficient healthcare management. Healthcare operations will benefit from predictive analysis, making systems more responsive and proactive rather than reactive. Let's see the key healthcare IT trends. The first and foremost is an AI and ML. So diagnostic enhancement, the AI is transforming the diagnostics by identifying the patterns in medical imaging or patient data that are hard for human doctors to detect. For example, AI can help reduce the false positives in cancer screenings. Then how it helps the personalized statements. So the AI driven algorithms analyze the patient data to recommend the tailor treatment plans for the patient. And this can improve the patient outcomes by factoring in unique health conditions and genetic profiles. And next, the predictive analytics. So AI can anticipate the patient needs, optimize treatment pathways, and reduce the complications through preemptive analytics. And let's see the role of the advanced data analytics. So the advanced data analytics enables healthcare providers to shift through vast amounts of health data. to extract actionable insights. So the better decision making like the analytics can provide the real time data for the healthcare professionals to make informed timely decisions which is crucial for the patient safety and care. How it is impacting the population health? The analytics can be used to make a manage large portions, identify the trends and address the health risk proactively. Let's see about the interoperability and cloud migrations. as the healthcare systems integrate with legacy systems, with the, and then with the new technologies, the seamless communications between the systems becomes crucial. So the interoperability allows data to be shared across multiple platforms, improving the care continuity. And the cloud migration, the cloud based solutions offer scalable, secure storage and enable easier access to patient data for healthcare providers. Trying down the cost while improving the system performance. Next, the blockchain for security. This is a major topic, which we will see in the later part, but here like a high level. So the blockchain is making a tremendous improvement in the security of healthcare data by creating immutable decentralized ledgers that ensures the integrity and privacy of patient data. with respect to cost saving, the blockchain technology can potentially save billions by reducing the fraud, errors, and cost, with respect to the managing, healthcare records. And let's see the power of AI and ML in healthcare. So the AI and ML plays a major role in the accuracy of the diagnostics. So the AI has demonstrated its potential in diagnostics with applications like breast cancer detection, improving the accuracy by reducing both false and, false positives and negatives. This not only saves lives. But also reduces unnecessary treatments, with respect to personalized treatment plans. So AI helps, craft individualized treatment plans, which improves the patient outcomes. For instance, using the AI for, depression treatment, so that in 6 percent higher emission rates showcasing the promise of data driven, cash outages. And, let's see the, advanced data analytics, like how it is helping the healthcare. with respect to the population health management, the predictive analytics helps in identifying the high risk patients for conditions such as, diabetes or heart diseases with high accuracy. So by anticipating health issues, the healthcare providers can intervene, earlier to prevent the complications. And with operational efficiency, analytics can optimize the hospital workloads, workflows. So improving the resource allocation and reducing the bottlenecks such as emergency room boarding or discharge delays. So this directly leads to better patient experiences and more efficient use of the resources. And in the research and development, the big data enables faster drug discovery by analyzing Millions or even billions of compounds are creating the development of new treatments and improving the outcomes of clinical trials. And, next is an interoperability and cloud migrations. The integration of outdated legacy systems into the modern cloud infrastructure is a top priority for many hospitals and healthcare institutions. So to, ensuring these systems communicate seamlessly. is essential for delivering uninterrupted patient care. The API solutions like the Fast Healthcare Interoperability Resources, FHIR APIs, they drastically reduce the time required to integrate discrete healthcare systems, thus improving the ability to share data across platforms. The healthcare cloud computing market is growing. about to reach like 64. 7 billion dollars by next year 2025. so the cloud solutions offer enhanced system performance, cost savings, scalable data storage, making it a critical investment for future ready healthcare systems. next let's talk about the blockchain, strengthening, how it strengthens the healthcare data security. by offering a secure, transparent way to manage patient data, the blockchain reduces the risk of data breaches, increases the transparency, and strengthens the patient privacy. let's see the decentralization and how it works. immutability. So the blockchain technology operates on a decentralized network, where data is stored across multiple nodes, emulating a single point of failure. So this significantly reduces the chances of cyber attacks compared to the centralized databases. So once data is written on, on a blockchain, it is immutable, meaning it cannot be altered or deleted without the consensus from the network, ensuring the data integrity. So next is like the encryption and crypto cryptographic hashing. The blockchain uses advanced crypto, advanced encryption and cryptographic hashing algorithms like SHA two six to secure the data. This provides an extra layer of security, as sensitive data is encrypted, making it more difficult for the unauthorized users to access or tam with it. The cryptographic hashing ensures that any changes to the data, will result in a completely different hash, making it evident if a breach occurs. And, next is like smart contracts for, security. So the smart contracts self executing contracts with the terms of the agreement directly written into the code can be used in the blockchain systems to automatically enforce security protocols. For example, they can ensure that the data access is granted only to authorized individuals and the actions are executed only when predefined conditions are met. So further securing the sensitive data like PHI or PCI, anything. Every transaction or data entry in a blockchain network is recorded in a transparent and verifiable way. So this provides a detailed audit trail, allowing the healthcare organizations to track the data provenance and ensure compliance with regulatory requirements such as GDPR or HIPAA in industries like healthcare. So the blockchain's secure infrastructure significantly reduces the potential for data breaches. So unlike the traditional systems where hackers may gain access to the entire database, but the blockchain's decentralized nature ensures that even if one node is compromised, the rest of the system remains secure. Let's see an real world example where the blockchain is used. Estonia's national blockchain for e health data security. So the east the estonia is a leading example of the use of blockchain technology to secure the sensitive healthcare data the estonian government Used the blockchain based system for managing and securing the citizens health records in their national So by leveraging the blockchain, Estonia ensures that healthcare records are tamper proof and can be accessed only by the authorized individuals, which strengthens data privacy and security. Additionally, the system allows patients to have full control over who can view their medical records. So Estonia's blockchain based health system has, Prove that there is a reduction in their data breaches. And it has, also improved the patient trust as they assured that their person data is being secured, securely managed. So this real world implementation shows how blockchain can change the, and improve the data security, especially in the sectors handling the, most sensitive data. Especially in healthcare and preparing for the future of healthcare IT. So the healthcare institutions must invest in the digital infrastructures. So the healthcare providers must upgrade their systems to support emerging technologies and scalable infrastructures. This is a key to future proofing healthcare operations. And second, they must focus on the data governance. So the proper data governance policies are necessarily necessary to maintain high data quality and security, especially as poor data quality costs the healthcare system over, 342 billion annually. Then. upskilling the workforce. The training in the healthcare professionals in data analytics and digital tools will be essential for maximizing the benefits of IT advancements in healthcare. then they need to collaborate with the tech partners. So partnership with the technology firms will drive innovation, improve the outcomes, and Enhance the healthcare solutions by leveraging the specialist knowledge and the last and the important thing is Prioritizing the cybersecurity. So with healthcare breaches averaging a cost of like 7. 13 million US dollars per incident Investing in the cybersecurity is essential to protect the both data and patient trust And next the benefits of embracing the healthcare IT transformations So the first benefit is like the, data security and privacy. So leveraging that latest technologies like blockchain and advanced encryption methods ensures that sensitive patient data is securely stored and transmitted. With healthcare breaches becoming more common, the enhanced data security measures build patient trust and protect against the costly data breaches. Then the personalized patient care. The integration of AI and big data analytics allows us, allows for more personalized treatment plans by analyzing a patient's genetic lifestyle and medical history data. So this precision medicine approach leads to more effective treatments, minimizing the trial and error methods and improving the patient satisfaction, interoperability and seamless data sharing. So healthcare IT transformations facilities better. Okay. identify and detect communications between the desperate healthcare systems through interoperability standards such as FHIR. this seamless data sharing improves the care coordination between different providers, ensuring that the patient receives timely and accurate treatments for regardless of where they seek the care. Another benefit is like remote patient monitoring and telemedicine. with the rise of telemedicine and wearable health devices, the healthcare IT enables real time remote monitoring of patients. this allows the healthcare providers to track the vital signs and other health metrics. outside of the, clinical settings, reducing the hospital, read missions and improving the long term care management. And the last and the most important benefit is like a regulatory compliance of reporting. So the automated data collection and analytics tools simplify the compliance with healthcare regulations, such as HIPAA, GDPR, or other regional standards. So the digital systems can generate reports quickly. track the data access and ensure that healthcare organizations remain compliant and the better clinical decision support. So with advanced decision support systems. Healthcare professionals can make evidence based decisions more effectively. So these systems analyze a vast amount of clinical data in real time, helping doctors choose the best possible treatment plans and anticipate complications before they arise. let's, let's come to the conclusion like the healthcare IT is evolving rapidly with AI ML. for computing and the blockchain at the forefront of this transformation. So these technologies offer unprecedented opportunities to improve the patient care, increase the operational efficiency and reduce the cost. So for healthcare organizations to harness the full potential of these digital transformations, they must focus on key enablers like interoperability, data security and infrastructure and infrascalability. that's it from my end, and thanks for hearing me on this topic. Thank you.