Hello, everyone. I'm Venugopal Reddy Deepa, and I'm really excited to be here today to talk about topic that is shaping the future of healthcare API integration and how MuleSoft is playing a crucial role in advancing personalized medicine. So let's start with a big number. So by 2025, the global healthcare API market is expected to reach 62. 8%. Billion. So that clearly signs that healthcare industry is going towards the digital transformation at an incredible phase. but here is the challenge. Hospitals, clinics, labs and pharmacies all operates on a different systems that they don't communicate effectively. So what? What does that lead to? So doctor struggles to access the patient complete medical history and, test results being delayed due to the disconnected systems and hospitals realized on slow manual data entry, increased errors and inefficiencies. So ultimately, this issue slows down the patient's care, increase cost and lead to the poor healthcare outcome. but, there are a good, what are the good news is the API integration is solving all this. So with MuleSoft API integration approach, hospitals and healthcare organizations are seeing a 65 percent reduction in the integration time. So think about what does means, what user to take months or years. to integrate is now happening in the fraction of time, allowing healthcare providers to adopt new technologies, faster, improve workflows and focus on the patient instead of it challenges. So in today's session, I will walk through you through the biggest challenges in healthcare data integration and how new software integration approach is solving these issues and how, AI and real time, data and enabling personalized medicine and real world case study where API integration is transformed major. Healthcare network and the impact of diagnostics, cost savings and security. So by end of the sessions, I hope you will see the API integration is not is just improving the healthcare it, but it's transforming the way we deliver the patient care. So let's move on to next slide. Okay, Before we talk about the solutions, let's take a step back and look at the major challenges in healthcare industry today. So despite advancing digital health, many hospitals, clinics and healthcare institutions still face serious roadblocks when it comes to share and access patients data. So this challenges fall into that category. three key areas like data fragment and legacy infrastructure and regulatory complaints. So coming to data fragments. So one of the biggest issues is healthcare. Today is how scattered patients treat is across multiple systems. So 75 percent of healthcare organizations struggle to connect patients because across different platforms. So a single hospital must coordinate patients across 18 different electronic health record systems. So on top of that, hospitals manage 450 terabytes of data. patient's imaging data equivalent to millions of medical images. What does it mean? So doctors many times don't have full picture of, patient health care in real time. So imaging a cancer patient recording being split across different hospitals, labs, and pharmacies, if these systems don't communicate, doctors might miss critical test results or pass treatments leading to delayed care and repeat tests and potential diagnosis will happen. So Without seeming way to integrate data, patient care slows down and error increases and costs go up. So in the second one, legacy infrastructure. hospitals and health institutions depends on technology to power increase critical operations. But here's the problem. 81 percent of healthcare institutions are still running systems that are 10, 8 to 15 years of old. So These legacy platforms process 1. 2 million daily transactions, but they were never designed for today's fast moving and data driven environment. So why this is a problem. So this outdated systems create bottlenecks, slow down the flow of critical medical data when hospital doctors and nurse spend more time. navigating outdated software instead of focusing on the patient care. So in today's world where real time data, saves lives, hospitals can suffer to rely on slow disconnected systems. So next one is regulatory complaints. So keeping the patient's data secure, healthcare is one of the most heavy regulated industry because of patient privacy laws, data security laws, rules, and, strict compliance standards. every healthcare. Facility is responsible for safeguarding over 280, 000 patient records, and 92 percent of healthcare organization report major challenges in maintaining the compliance across their integrated systems. So these compliance challenges cause critical project delays, averaging 187 days, that's more than six months of setbacks. So why does this matter? So non compliance can result. Hi, T. Finds legal risk and loss of patient stress. So data breaches in health care cost on average of 10 million per incident, making security failures with incredible cost. So at the same time, hospitals need to share patients data securely across different systems to make sure doctors have the right information at the right time. So why does this matters? And how do we solve these problems? he's these challenges is. Fragmented data or data system and complex compliance requirements, all creating roadblocks that slows down the healthcare innovations and impacting patient's care. So that's where API integration comes into picture. By connecting systems, automating workflows, and making sure secure data across APIs allows hospitals to break down into CLEOs, modernization infrastructure, and complying with regulations without completely replacing their existing IT systems. And this is exactly where API led approach. makes a difference. Now that we discussed the challenges in the healthcare industry, let's talk about the how MuleSoft API LateConnect approach solves these problems. So MuleSoft uses three layer API architecture that creates a seamless, secure and efficient healthcare ecosystem. Instead of replacing old systems, it connects them, allowing workflow automation, a better user experience. So system APIs, Connecting to the legacy systems of instance data access. So usually hospitals still rely on the old disconnected systems, make it difficult to retrieve patient records and system APS act as a bridge between the systems, allowing data to flow securely and instantly. So 75. 78 percent of reduction in data access time, meaning doctors and nurses can quickly retrieve a critical patient record instead of waiting on slow manual process. And this API standardized complex medical data for mix. Ensures that data from different hospitals, labs and pharmacies can be accessed in unified format that leads to the faster diagnosis, quicker treatment decisions and improve the coordination between the health care providers. So other layer process API automates workflows and. Treatment protocols will follow. So process APIs plays a crucial role in orchestrating clinical workflows and automating complex health care processes. So 63 percent of reduction in treatment protocols implementing time, which means that patient receives the right patient faster and more efficiently. This API reduction medical errors by making sure in the lab results. Prescriptions and treatments plans are automatically updated across systems, and they also automated insurance claims process appointment scheduling and, prescription, renewals, reductions and workflows for medical staff. on the other hand, experience API enhancing user experience and patient engagement. So experience APIs make healthcare data accessible in a simple, secure and user friendly way for both So 82 percent of increasing provider satisfaction because doctors and nurses no longer have a deal with slow, outdated interface. So these APIs power personalized patient protocols, allowing end users to view their health records and track medications and schedule appointments. So why does it matter? By combining systems, process and experience APIs, MuleSoft creates a fully integrated healthcare environment where data flows seamlessly between the hospitals, labs, pharmacies, and patient portals. And treatments workflows are automated, reducing delays and human errors, and doctors and patients have easily Access to critical information, improving the decision making, the case, outcomes. So MuleSoft API led approach isn't just about the IT, it's about transforming the way healthcare is delivered, make it faster, smarter, and more, patient centered. Let's move on to the other slide. Okay, now that we have seen the MuleSoft API led approach connects healthcare systems, let's talk about how integration is driving personalized medicine, where treatments are trialized specifically to each patient's unique healthcare profile. Today, healthcare is shifting from one size fits all treatments to data driven personalized care and APIs are playing a crucial role in making these problems. So there are three major ways APIs are transforming personalized medicine. First one is real time data integration. This is nothing but the fastest, smarter, and decision making. So one of the biggest challenges in medicine is getting the right data to doctors at the right time. with MuleSoft API powered real time data integration, we have processed 1. 5 million patient data points every second. this has resulted in 71 percent patient, clinical decision making, meaning doctors can act quickly, improving the patient outcomes. with better data availability, we have seen 48 percent of increase in early disease detection, helping catch illness before they become critical. Okay, and Treatments are now 62 percent more effective because they are based on the precise data driven care plans, televised to each patient. So what does this mean for patient? Imagine a heart disease patient whose risk factors are identified early, allowing doctor to start the treatment before symptoms even appear. That's where the power of real time integration and patient data will come into picture and advanced analytics. So this comes as a AI powered diagnostics and genetics insights. So data alone isn't enough. So we need advanced analytics to extract insights and make it actionable for doctors. So our AI powered imagining systems. process 920, 000 medical images every day with 82 percent of greater accuracy, helping doctors spot small but critical details that could be otherwise be missing. So genetic data analysis is now 88 percent faster, allowing physicians to create a heavily. targeted personalized treatment plans for over 28, 000 patients per facility each year. So what does this mean for patients is instead of writing weeks for, genetic testing results, a cancer patient can now receive a personalized treatment plans with hours. Improving, survivor rates and treatment effectiveness. So that one is clinical decision support. that is nothing but AI assisted smarter healthcare. So with healthcare becoming a more complex doctors need intelligent systems to assist them in making the best decisions. So our API driven clinical decision support system is transforming how care is, care is delivered. So in, it handles 3. 2 million clinical. Decisions daily with 98 percent accuracy, helping doctors to make the best possible choices. treatment matching has improved by 68%. Make sure in patient received the most efficient care of their specific conditions. And most importantly, adverse drug reactions have been reduced by 45%. Thanks to smart, medical recommendations. So what does it mean for the patient, a patient with. Multiple chronic conditions can now receive a personalized medicine plan that minimizes side effects and improves the quality of life. Okay. Now, why this matters by integrating real time patient's data, AI powered analytics, and clinical decision support. We are making Medicine more precise, more efficient and more patient center. So doctors get the data they have instantly. Patient receive personalized treatment trailer to their genetic and health history and AI powered insights to help prove errors and improve outcomes. So let's talk about the unified data access. So doctors now access 15, 800 patients data points per consult consultation compared to just 2, 900 previously. So this means that physicians no longer need To manually pull records from different systems, they get all the relevant data in one place instantly. So faster access to critical information lead to early detection and better treatment decisions. Example, imagining an emergency case where a doctor needs to check a patient's past imaging lab records and genetic makers. Instead of searching a multiple system, they get everything in one unified dashboard in real time. Other one is lab integration. So it's a fast and more accurate test results. real time synchronization of lab data has, accumulated diagnosis time by 74%. So automated lab data integration that just manually data errors, ensuring doctors have the most up to date test results in instantly. So third one is imagine analysis. This enhanced the radiology and AI powered scans. So MuleSAR platform enables real time integration of imaging data. So improving diagnostic speeds and accuracy. So imaging analysis accuracy has increased by 82 percent allowing AI powered tools to detect early signs of disease like cancer and neurological disorder. So false. Positive has been reduced and minimizing cancer treatments and anxiety of the patients will be reduced here. So third one is genetic analysis. This is nothing but 88 percent faster genetic data process allowing for faster and more efficient transform treatment plans. So genetic makers are now analyzed alongside lab and imaging data providing a more compressive approach to, disease treatment. And, fifth one is, The predictive analysis. AI driven predictive analysis help identify at risk patient before symptoms even appear. diagnostic error rate have dropped by 63 percent reducing the unnecessary hospital readiness. And, With seeming less integration of lab reports, imagining data and genetical analyzing, MuleSoft platform say define diagnostic in healthcare. So doctors know receive a complete real time patient profile, leading to faster and more accurate. diagnosis and, treatment plans are trialized based on real time data, improving outcomes. So let's talk about diagnostics to the next level with AI power technology. So AI is revolutionizing healthcare and doctors to detect disease early, analyze genetic data faster and predict patient outcomes with Unpredictable accuracy. So by combining AI and real time data integration, we are moving from reactive in healthcare, treating disease after they occur to proactive care and preventing illness before they even develop. AI can analyze 2. 1 million diagnostic images per day. So this has led to thousands of life saving early, interventions preventing diseases from progressing to critical stages. And second is genetic analysis. So generally key analysis has transformed medicine, but analyzing vast amounts of genetic data used to take days of days or even weeks. So now with AI driven genetic analysis, our system achieves 99 percent of accuracy in. genetic profiling, helping identifying here data conditions and treatment processing. And the process is 32, 000 genetic profile daily in under four minutes per patients. So this means that doctors can instantly Match patients with most effective personalized treatment plans and, and, prediction capabilities will comes into picture like forecasting patients outcome before systems develop. So predicting patient comes user to rely on past experience and intuition, but no, I can analyze millions of. clinical cases to forecast healthcare risk with extreme accuracy. So our prediction model modelizing achieves 93 percent of accuracy in forecasting patient outcomes with 30 days and system analyzes 4. 2 million clinical data points daily providing proactive alerts to the doctors. So this helps preventing complications before they occur, allowing for Early inventions and save lives. And why this matters with AI power diagnostics and we are not just improving medicine, we are changing the way healthcare works. So doctors can detect disease sooner, leading the early treatment and better survival rates and genetic analysis allows for prediction medicine, making sure every patient gets the right treatment faster. Let's talk about the slide. Now let's move on from technology theory to real world impact with groundbreaking case study. this case focus on one of the America largest healthcare networks, which includes 920 healthcare, facilitates and serves as 13. 8 million patients annually. So before implementing MuleSoft APL integration. This network struggles with slow system deployments, high operation costs, and outdated infrastructure. however, by modernizing their systems and streamlining integration, the results were transformative. 68 percent of faster system integrations from around 210 days to just 58 days. Okay, Let's break down to key achievements. Let's break down to key achievements. So before MuleSoft, deploying a new system across facility took 210 days, almost like 7 months. with MuleSoft API solutions, deployment time was cut down into just 58 days. A 68 percent improvement will happen here. this allowed new hospitals, clinics, and digital services to go live with much faster, reducing the bottlenecks in IT implementation. So why does this matter? Hospitals adopting new technology can't offer long delays. Faster integration means doctors and nurses can start using new digital tools soon and ultimately the benefits to patient's care. And by optimizing workflows and automating data exchange between hospitals, labs, pharmacies, and insurance providers, the network served 9. 5 million annually. So manual data entry was reduced in processes like insurance verification, patient records access, and prescription fulfillment were automated. Redundant IT maintenance cons were eliminated, making decisions much more cost efficient will happen. And, within 18 months, the healthcare network achieved a 182% written on investment, one of the fastest and highest in the industry. See the cost of implementing MuleSoft API was fully recovered with the first year. The success set to a benchmark for other healthcare organization looking to modernize the systems without compiling, replacing existing infrastructure. So why does this matter? So many healthcare organizations hesitate to invest a new technology due to budget constraints, but this case study proves that API integration is not It's an investment with fast and, miserable returns. So, this case study proves that APLA connectivity is more than just an IT upgrade. It's just a fundamental shift in how healthcare operates. hospitals can integrate new systems nearly 70 percent faster, making sure they stay ahead in digital transformation and Massive card saving allow for better, resource allocation, improving all our patient care, the ROI speak for itself. So modernizing healthcare IT infrastructure is not just beneficial is. Essential for long term sustainability. MuleSoft don't just improve this healthcare network. It's just set the stage of smarter, faster, and more connected future for healthcare. Okay, let's move on to other slide. Okay, let's talk about diagnosis. So now let's see how seen API integration transform system efficiency. Now let's drive deeper into how improved diagnostics, one of the most crucial areas in healthcare. How MuleSoft integration platform is. ensuring precision speed up results and improving the patient's safety. So let's discuss about accuracy enhancement. So 48 percent of boost in diagnostic precision and preventing over 52, 000, 15, 200 potential medical errors annually. So this improvement has directly contributed to better patient safety outcomes, reducing misdiagnosis and unnecessary treatments. So why does this matter? Diagnosis lead to delight on incorrect treatments, sometimes with life threatening consequences with improved diagnosis. Accuracy patients get the right treatment faster and improve the survivor rates at long time health outcomes. processing speed. So from 52 hours to just 5. 8 hours. So before implementing use of solution, diagnostics confirmation time took up to 52 hours more than a. two full days. I think. No, this same diagnosis are confirmed in just 5. 8 hours at an 89 percent improvement happened. So what does this matter? So faster diagnosis means for the treatment decisions. A patient in emergency room does how, days to wait for test results. Getting a accurate diagnosis with hours or even minutes can be life saving and imagining analysis. So a I. diagnostic imaging process. 1. 2 million medical imaging images per month. So 99. 85 accuracy rate, meaning few misdiagnosis and more confidence in imaging results. So false results have been reduced by 62 percent and make sure that patients aren't subjected to unnecessary test treatments or stress. So why does it matter with? Traditional imaging errors or delays in reading scans can lead to missed tumors, undiagnosed fractures, or delayed detection of life threatening conditions. AI powered Imaginary makes sure every detail is captured with very Perfect accuracy. So 71 percent of reduction in diagnostics done around time for critical cases, enabling rapid interventions when every second. So in conditions like strokes. Heart attacks. Every minute of delay increased the risk of complications out there. So with faster diagnostics, doctors can immediately start life saving treatment instead of waiting for lab results. So doctors have access to more precise real time data. Patients have received a diagnosis faster, leading to early treatments and AI power. Imagine they just the false treatments to improve the confidence in results and critical conditions are identified sooner, giving patients a better chance of survival. So this isn't just an idea, but it's revolution in diagnostics, making better outcomes of millions of patients. So let's move on to other slide. so far we have talked about how API integration has improved the diagnostics, treatment, accuracy and patient care. But another major benefit is how it enhances, efficiently, reducing cost and improves the system. Scalability. So healthcare organizations deals with millions of patients request daily and it access that data is slow or efficient. It directly impacts patient outcomes. So new soft API let integration has transformed how hospitals manage patient records, cut development costs and built a scalable infrastructure that is ready for the future. So let's look at three key Improvements in this area. So record access improvement. So healthcare provider no access patient records in just 28 seconds down for 5. 5 percent improvement here. So this enables faster emergency response, better decision making and reduce wait times for patients. The system no process 1. 2 million. Patient records request party with 99. 995 percent accuracy, make sure in, real and, secure access critical information. So why does this matter? So in an emergency room setting, waiting every five minutes of patient record could mean delight. treatment. So which instant access doctors can make life saving decision faster, improving the survivors and reducing the complications. So second is development cost reduction. So 14. 2 million in annual saving through strategic system optimization and 58 percent reduction in development cost, which eliminates unnecessary technical depths created a more maintainable future proof infrastructure that benefit both providers and patients. So why does this matter? So many healthcare systems spends millions of dollars maintaining outdated IT structure by maintaining MuleSoft API organization can eliminate efficiency, reduce IT cost and, reinvest savings into patient care and innovations. the other one is maintenance and scalability. That is for future proof, proofing healthcare systems. So 72 percent of decrease in system maintenance costs, reduce the operational expenses, while maintaining high system performances. So 78 percent increase in system scalability allows, hospital to support more patient, integrate, new technology and spend service without medical infrastructure, limitations. So this makes sure seamless HIPAA compliance across all access points, keeping patients data secure without slowing down the workflows. So why does this matter? So as healthcare system continues to grow and handle large amounts of. data. They need scalable, efficient and secure solutions. So this transformation makes health care provider can expand innovative and improve patient experience without worrying about I. T. Limitations. So why this matters for future of health care? So doctors and nurses get patient recover faster, enabling Care and more informed treatment decisions and hospital save, millions in it costs, allowing them to allocate more resources to patient care and advanced technologies. So a scalable infrastructure may. Sure healthcare organizations are ready for future innovations, say driven healthcare and, expanded patients needs. this isn't just a short term improvement, it's a long-term transformation, creating a faster and more efficient and future-proof healthcare systems. So let's just work on other slide. okay, as a healthcare organization, expand the digital capabilities, security and compliance, become more critical than ever. So patient data is among the most sensitive information in the world. And a single data breach can lead to financial penalties and legal consequences and loss of patient trust. So that's why MuleSoft APL8 integration is built in enterprise grade security and strict compliance measures and making sure the data is protected, monitored, and accessible only by the right people. So let's explore a five key security pillars that make it possible. So first one is end to end encryption. So MUSEF secures patient's data with military grade encryption, providing 99. 9995 percent protection effectiveness. So it handles 4. 8 million sensitive transactions daily, ensuring patient records remain private and secure. So why does this matter? So encryption makes sure that even if data is intercepted, it Remains unreadable to unauthorized user. So this level of security meets and exists healthcare industry standard protection, patient confidentiality, and data governance coming to data government's 91 percent of improvement in data quality metrics, reducing errors and inconsistency in medical records. So 76 percent of reduction data handling violations ensures, hospitals compiles with strict data protection policies. Why does this matter? Clean, accurate data is essential for patient safety. Error in medical records can lead to misdiagnosis or incorrect treatments. Controls. preventing breaches. 14, 200 role based access permissions per organization. Make sure only unauthorized personnel can. Access specific data. So 80, 82 percent decrease in security breaches caused by unauthorized access attempts. So why does this matter? So not even hospital employees should have access to all patient records. So MuleSERP. enforces strict role based control to prevent unauthorized access. So this makes sure that one doctor, nurse, and unauthorized staff can see the information they need. Nothing more, nothing less. And audit log. So AI powered threat detecting and monitoring. We can. Think about in this case. So monitoring 3. 8 million security events daily, identifying potential threats in real time. So AI power detection systems providing 99 percent 99. 8 percent accuracy, proactively flagging suspicious activity before it becomes a breach. So why does this matter? So cybersecurity and healthcare organization has increased by 58 percent in the last five years. Real time monitoring makes sure that it. Threats are detected and stopped before any damage occurs so hospitals can quickly investigate and respond to potential security incidents, protect patients data and maintaining trust and HIPAA complaints. So 97 percent of reduction in complaints incidents due to the automated regulatory monitorings. So process is 62 6. 2 million complaints verification daily. Make sure constant. Adherence to industry regulations. So why does this matter? Regulatory compliance is complex and manual processing can lead to address fines and legal risks. So with automated compliance check, hospitals can make sure they meet HIPAA and other health care security standards 24 by 7 without extra manual efforts. Why this matters for healthcare organizations. So patient records are encrypted, protected, and accessed only by authorized personally. So security monitor runs 24 by 7, detects threats with near perfect accuracy. So regulation compliance is automated, reducing the risk of violations and fines. So with MuleSoft API led security framework, healthcare organizations can confidently, MuleSoft. com Embrace digital transformation without compiling on, privacy, security and compliance. Let's move on to other slide. Okay. As we wrap up, let's take a step back and look at the big picture. How MuleSoft API led connectivity is fundamental to transforming healthcare delivery. We have covered how MuleSoft platform improves diagnostics, enhancing patient record access, strengthening security and reduces cost. It is core. It's this transformation is about one thing. Better patients care. Let's summarize the three key ways. This technology shaping the future of healthcare integration success. So this means no more delays, no more missing data. Even healthcare provider has access to the full picture in the real time. Microsoft did not just connect systems is just connected care and personalized messaging. MuleSoft has become the backbone for personalized medicine. So AI driven analytics allows healthcare providers to trailer treatments based on the genetics, medical texture and predictive models. So this leads to higher therapy effectiveness, fewer side effects and better long term health outcomes. So this is just, this isn't just a digital transformation. It's a medical transformation. And future ready healthcare. So built for the innovative and the growth. So MuleSoft industry leading security protocols, make sure. patient's data remains protected even as digital health care expands. So why does this matter? Health care is constantly evolving, and hospitals need technology that can adapt to their new advancements. With MuleSoft, organizations are future proofed, ready to embrace emerging innovations in AI, robotics, and digital health care transformations. So this isn't just solving today's problem, it's preparing health care for next. Decade and beyond. So final thoughts about this transformation. Healthcare delivery, for integration medicine to future ready. Healthcare moves of 80 year late connectivity, setting a new standards in the industry. This isn't just about the idea. Upgrades is about the saving lives. Improving patient experience and making health care more efficient and accessible. So by embracing digital transformation, we are not just improving the hospitals. We are reshaping the future of medicine. So the future of medicine is connected, intelligent and Patient focused and MuleSoft is the leading the way. Let's move on to next slide. So that brings us the end of this session today. So we explored how MuleSoft APLA integration is transforming the healthcare from breaking down data cellulose and improving the diagnostics to enabling the personalized testing and future proofing healthcare systems. So this is more than just technology. It's about Empowering doctors, enhancing patient care and ultimate saving lives. I appreciate your time and attention. And I hope this session has given you valuable insights into how API