health Archives - rinf.tech https://www.rinf.tech/tag/health/ Thu, 26 Sep 2024 09:40:35 +0000 en-US hourly 1 https://www.rinf.tech/wp-content/uploads/2020/05/favicon-150x150.png health Archives - rinf.tech https://www.rinf.tech/tag/health/ 32 32 Achieving Seamless Integration Across Complex Healthcare Systems  https://www.rinf.tech/achieving-seamless-integration-across-complex-healthcare-systems/ Thu, 26 Sep 2024 09:37:14 +0000 https://www.rinf.tech/?p=28640 Exploring a hypothetical case where a healthcare provider successfully navigates complex integration challenges through a comprehensive application modernization strategy.

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Achieving Seamless Integration Across Complex Healthcare Systems 

As healthcare systems continue to expand in scope and complexity, seamless integration across various applications has become more crucial than ever.

According to recent reports, the global healthcare market is expected to reach $22.57 trillion by 2031, driven by an aging population, advancements in digital health technologies, and a growing emphasis on value-based care. However, despite these advancements, a study found that 72% of healthcare executives acknowledge that siloed and inaccurate patient or member data continues to hinder care quality and disrupt business outcomes, highlighting the urgent need for better data management and system integration. 

Healthcare organizations often rely on legacy systems that were not designed to support modern technologies or allow easy integration between critical applications such as Electronic Health Records (EHR), telemedicine platforms, and diagnostic tools. This lack of interoperability poses significant challenges for healthcare providers, hindering operational efficiency, compromising patient care, and slowing the adoption of new technologies. 

This article explores a hypothetical case where a healthcare provider successfully navigates complex integration challenges through a comprehensive application modernization strategy, ultimately achieving improved patient care and seamless technology adoption. 

Contents

The High Cost of Legacy Healthcare Systems

Imagine a healthcare provider that has grown significantly in recent years, with an expanding patient base and increasingly complex operations. However, this growth has come with a set of pressing challenges. The provider’s existing applications are disparate, each developed at different times and for different purposes, leading to a fragmented system architecture. These applications are not built for seamless interoperability, making it difficult for different departments and units to exchange data smoothly. 

The client also faces significant challenges when attempting to adopt new healthcare technologies, such as electronic health records (EHR) upgrades, telemedicine platforms, and AI-driven diagnostic tools. Their legacy systems are not flexible enough to accommodate these innovations, and the lack of integration slows the implementation of any new technology. Faced with these obstacles, the healthcare provider sought a solution to bridge the gap between its aging infrastructure and the demands of modern healthcare delivery. 

Building Bridges, Not Walls: rinf.tech's Modernization Roadmap

Let’s assume that to address these challenges, the healthcare provider turns to a technology modernization partner like rinf.tech capable of delivering a comprehensive solution that ensures seamless system integration while enabling the adoption of cutting-edge technologies. Our modernization approach could be broken down into the following key stages. 

1. Strategic Technology Assessment 

The first step in solving integration challenges is a detailed evaluation of the current state of the healthcare provider’s application ecosystem. A strategic technology assessment plays a pivotal role in identifying the areas where integration issues arise and the underlying causes of poor interoperability. 

Our team of experts would analyze how the various applications communicate—or fail to communicate—with one another. They would also assess how legacy systems limit providers’ ability to introduce new technologies. This assessment is essential for creating a roadmap that aligns modernization efforts with the healthcare provider’s goals of improving efficiency, reducing operational bottlenecks, and enhancing patient care. 

2. Application Re-architecting 

Following the assessment, our engineers will focus on re-architecting the application to address the core issues of system fragmentation and lack of interoperability. The goal is to redesign the application architecture to be more integration-friendly. We would leverage modern architectural frameworks such as microservices and service-oriented architecture (SOA) to ensure that each component of the healthcare system can interact seamlessly with the others. 

Microservices allow for greater flexibility, enabling the healthcare provider to scale individual services independently without affecting the entire system. This approach facilitates more accessible updates and better communication between various applications, improving overall system agility. With a service-oriented architecture, the healthcare provider would have a more modular system where different services (such as patient records, billing, and diagnostics) can communicate effortlessly, supporting better data exchange and collaboration across departments. 

3. Application Containerization 

Application containerization will be implemented to enhance the integration process further. Containerization simplifies the movement of applications across different healthcare environments by encapsulating applications and their dependencies into lightweight, portable containers. 

This approach allows the healthcare provider to run applications consistently across different platforms, whether on-premises or in the cloud, ensuring seamless integration of new technologies. By containerizing applications, our team would enable the healthcare provider to adopt modern healthcare tools such as AI-based diagnostics, telehealth solutions, and mobile applications without major disruptions to the existing system. Containers ensure that new tools can be integrated quickly and securely, reducing the time and complexity associated with deployment. 

Digital Transformation through Application Modernization 

Modernizing healthcare applications is not just about improving integration but is also a key part of a broader digital transformation strategy. Our team solution would align the healthcare provider’s modernized applications with larger digital transformation goals, ensuring that the improvements in interoperability contribute to the overall efficiency and effectiveness of healthcare delivery. 

Modernizing the application infrastructure allows the healthcare provider to streamline workflows, automate routine tasks, and introduce advanced analytics for better decision-making. The digital transformation would enhance patient care, reduce administrative overhead, and provide more personalized treatment plans based on real-time data. 

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From Fragmented to Flowing: The Power of Integration for Improved Care

With our comprehensive modernization strategy, the healthcare provider would achieve seamless integration across its various systems. The disparate applications would now communicate effectively, creating a unified system where data flows freely between departments, improving coordination and patient outcomes. 

The integration-friendly architecture also makes adopting new technologies significantly easier for the healthcare provider. Whether upgrading its EHR system or implementing telemedicine platforms, the provider would no longer face the barriers imposed by legacy systems. This would allow them to stay at the forefront of healthcare innovation, delivering more advanced, personalized patient care. 

Additionally, containerization would provide the flexibility to scale and deploy new applications as needed, reducing the time required to bring new services online. This agility is particularly important in the rapidly evolving healthcare landscape, where providers need to adapt quickly to new tools and technologies. 

Overall, our solution would lead to improved patient care, more efficient healthcare processes, and a stronger ability to innovate and evolve in an increasingly complex industry. 

Conclusion

Modernizing healthcare technology is no longer an option but a necessity for providers aiming to improve patient care, operational efficiency, and system interoperability. As the healthcare landscape continues to evolve—with the increasing need for integrated electronic health records, telemedicine platforms, and AI-driven diagnostic tools—outdated, fragmented systems are no longer viable. Healthcare organizations must prioritize upgrading their infrastructure to keep pace with industry advancements and ensure they can deliver high-quality, patient-centered care. 

However, technology modernization in healthcare goes far beyond just improving system integration. A modernized infrastructure allows healthcare providers to harness advanced tools like containerization and cloud-based solutions to improve scalability, enhance data security, and streamline daily operations. By re-architecting applications focusing on microservices and service-oriented architecture, healthcare providers can eliminate the inefficiencies that come with legacy systems and adopt new technologies with greater ease, improving the speed and quality of care. 

In the long term, this transformation equips healthcare providers with the tools to future-proof their operations. Moving to a cloud environment, for example, reduces the cost and complexity of maintaining aging systems and provides the flexibility to scale and adapt as patient needs and technological innovations evolve. Continuous integration practices ensure that systems remain updated with the latest advancements, security patches, and features, driving operational resilience and improved patient outcomes. 

By embracing technology modernization, healthcare organizations can overcome the integration challenges that hold them back, ensuring seamless communication across systems, enhancing patient care, and positioning themselves as leaders in a rapidly changing healthcare market. 

If your healthcare organization struggles with outdated systems and complex integration needs, now is the time to explore how modernization services can transform your infrastructure. Taking proactive steps today can pave the way for a more efficient, secure, and patient-focused healthcare experience

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]]> Healthcare Supply Chain Automation: When, Why, and How https://www.rinf.tech/healthcare-supply-chain-automation-when-why-and-how/ Mon, 20 Nov 2023 16:51:17 +0000 https://www.rinf.tech/?p=26309 Exploring the complex world of healthcare supply chain management and highlighting the importance of automation.

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Healthcare Supply Chain Automation: When, Why, and How

The healthcare industry has intricate and critical supply chain requirements. A fragmented and deficient supply chain, especially in healthcare, can cause more than just financial losses. The lives of people are at stake, which means that optimizing the supply chain in healthcare is arguably more important than in any other sector. The secret to this optimization is automation.

The healthcare supply chain management market will reach $3.3 billion in the next two years. This market has been rising annually at almost 8% since the start of the COVID-19 pandemic. Key drivers of this colossal market include the increased adoption of cloud computing and other digital technologies, the need to optimize operations to survive in saturated markets, and the evolving expectations of end users.

Legacy healthcare supply chains are rife with problems, including drug shortages, poor data management, fragmented pipelines, siloed processes and databases, convoluted pricing, transport and shipping complexities, substandard interoperability, poor visibility, and weak cybersecurity postures often exploited by threat actors.

This article explores the complex world of healthcare supply chain management and highlights the importance of automation. You will also learn how to implement automation solutions for supply chains in healthcare and what challenges and obstacles you must overcome when optimizing healthcare supply chains.

Contents

The Importance of Healthcare Supply Chain Automation

The section highlights eleven critical ways that automation solutions for supply chains can benefit healthcare organizations.

1. Scalability

Modern healthcare businesses need to be able to withstand fluctuating demands with ease. Automation can help make healthcare supply chains highly scalable so that unpredictable demands can be met without heavy expenditures or a loss of service quality.

2. Compliance and Traceability

Healthcare supply chain automation can help companies surveil and manage medical supplies and equipment deliveries. Healthcare enterprises need to follow a set of ordinances that are overseen by various federal, local, and industry-specific governing bodies. Neglecting these regulatory benchmarks by not being able to trace supplies can bring forth a barrage of challenges, ranging from heavy forfeitures to reputational damage. 

3. Inventory Optimization

Automation in healthcare supply chains can help with inventory optimization by introducing predictive analytics capabilities. Predictive analytics, by interpreting myriad patterns in and around the healthcare sector, will ensure that businesses are proactive with inventory management. Historically, many businesses often found themselves in overstock situations or lacking critical supplies in moments of need. Automated supply chains can reduce such scenarios where businesses have too few or too many supplies. 

4. Supplier Management

Most healthcare organizations work with many different suppliers, and this can be cumbersome without automated systems. Automation can ensure that businesses have visibility of their dealings with various vendors. It can also help them negotiate and get better results when sourcing new third-party vendors.

5. Resilience and Risk Management

The healthcare supply chain, in particular, can’t afford any kind of disruptions or downtime. Incidents that challenge the resilience of organizations are inevitable. Robust supply chain management can help organizations prepare for these various incidents and disruptions by providing real-time data-driven insights and responses.

6. Customer Satisfaction

A resilient healthcare supply chain directly affects patients by ensuring that the right kinds and amounts of medicine and health-related paraphernalia are easily accessible and available when needed.

7. Environmental Sustainability

Eco-friendly initiatives are an important measure of success for healthcare enterprises. Healthcare supply chain automation can result in less waste and lower energy consumption. This is because businesses will be able to optimize supply chain routes and operations, significantly trim down resource expenditure, and avoid wastage.

8. Employee Satisfaction

Automated systems can take over more repetitive and backbreaking tasks, leaving historically overworked teams and personnel to focus on more human-centric activities. This can increase employee productivity and morale and ensure higher retention rates.

9. Strategic Sourcing

The automation of healthcare supply chains means that companies no longer have to manually identify and vet suppliers. AI-powered technologies can take into consideration many factors and criteria and provide data-driven facts that can help organizations make more informed purchasing decisions.

10. Quality Control

Modern automation solutions can continuously check for fluctuations in the quality of various supplies. These technologies can study patterns over a long period to effectively identify anomalies so that companies can begin a swift investigation and remediation process.

11. Demand Forecasting

The demand for medical supplies can fluctuate based on several variables. Businesses need to be prepared and flexible to effectively deal with the unpredictable nature of healthcare demand. Automated supply chains leverage advanced algorithms to more accurately predict future needs, reducing the likelihood of emergency purchases at higher costs.

When to Consider Automation for Healthcare Supply Chains

This section explores some key factors and scenarios that may necessitate the integration of automation into existing healthcare supply chains.

Recurrent System Failures

Businesses that experience large volumes of system failures that may result in delays, inefficiencies, and errors should consider phasing into a more automation-driven approach. The collective damage caused by inefficient use of resources, revenue lost to downtime, and reputational harm from disruptions can lead to the loss of competitive advantage.

Automation Benchmarks

AI-powered automation is often the subject of controversy. However, more and more organizations have begun to formally and meticulously find ways to integrate automation safety and responsibility. Healthcare businesses should assess the climate around automation in their region and subsector. If automation benchmarks are in place, it might be a good time to begin leveraging them. 

Organizational Readiness

No two organizations, even if they are in the same industry, have identical supply chain needs. Furthermore, certain organizations may have a stronger underlying awareness, infrastructure, and culture that may lend itself to a seamless transition to automated supply chain environments. Healthcare businesses need to embark on a period of self-analysis and reflection to assess whether they are ready to shift to automated systems.

Compliance Requirements

Healthcare is filled to the brim with complex regulatory requirements. Regulations can range from data privacy to risk management. Neglecting these rules can result in millions of dollars in fines. Companies that have multiple complex compliance requirements should consider shifting to automated supply chains to reduce degrees of risk and possibilities of oversight.

Cybersecurity Challenges

Any vulnerability in a digital supply chain system can lead to catastrophic data breaches. The healthcare industry is regularly in the crosshairs of threat actors. According to the HIPAA Journal, more than 380 million healthcare records have been compromised in some way between 2009 and 2022. Businesses running on legacy systems that are vulnerable to data breaches should consider leveraging automation.

Competitor Trends

If a business’s competitors leverage automation solutions for supply chain needs, it will be next to impossible to compete on an equal plane. Healthcare companies should assess what other organizations in their field and vicinity are doing to optimize their supply chains. Competitors with a significant automation headstart can be challenging to catch up with.

Why Automate Your Healthcare Supply Chain?

This section shares a few important reasons for optimizing the healthcare supply chain via automation.

Enhance Patient Outcomes

End-users can benefit from the automation of healthcare supply chains because there’s a higher guarantee of medicines being available when required. Furthermore, a streamlined supply chain means that procedures and treatments can be scheduled and conducted on time and without unnecessary delays that may exacerbate health issues or dent customer satisfaction. Automated supply chain systems can also study large banks of customer data and healthcare histories, which can help businesses offer tailor-made services to their customers.

Gain Competitive Edge

The most evident advantages that automated healthcare supply chains bring include reduced costs, better operational efficiency, and streamlined delivery of health-related products and services. Furthermore, healthcare leaders who embrace automation will likely be recognized and celebrated as pioneers in supply chain management and innovation, which could define and differentiate companies. Automated data management systems can also help enterprises make powerful data-driven decisions that can help them edge over competitors.

Secure Long-Term Viability

Legacy systems can take a lot of work to integrate with future technologies. Introducing automation in healthcare supply chains now can future-proof organizations by making them more adaptable to future technological advancements and industry shifts. Automation also enhances agility, enabling enterprises to respond to unexpected market activity, new regulatory obligations, and evolving medical practices.

Additional Benefits + rinf.tech Case Study

Automated supply chains can also bring healthcare organizations a plethora of miscellaneous benefits. This includes staff empowerment, which automatically leads to better employee retention rates. Strengthened security defenses are another invaluable benefit because they can help organizations avoid data exfiltration and other cyber attacks.

A recent rinf.tech case study is a great example of what healthcare supply chain automation can do for a company. Our client was a leading healthcare business and data automation company. Their challenge was amalgamating disparate processes involving communication between manufacturers, distributors, hospitals, clinics, insurance companies, transport companies, logistics and warehousing firms, and regulatory agencies. 

The solution our Team delivered was based on a ‘single pipe concept.’ We built a unified, robust, scalable, and HIPAA-compliant platform that acted as a single source of truth (SSOT) for item data for all company product offerings. This is just one example of how companies like rinf.tech can transform organizations by automating healthcare supply chains and solving hundreds of problems with a single solution. 

healthcare supply chain automation
Example of Healthcare Supply Chain Automation

How to Implement Automation in the Healthcare Supply Chain

There are a few basics that healthcare organizations need to get right to ensure high levels of performance in their automated supply chain systems. For instance, choosing the right technology partner to lead this supply chain transformation is half the work done. Similarly, training employees and acquainting them with the new automated supply chain ecosystem can go a long way in the overall success of the innovation. The transition between legacy and automated supply chain systems can be dramatic. Therefore, it’s important to dedicate time and effort to orienting relevant stakeholders to the new system.

The right vendors and effective orientation programs can lead to a successful automated supply chain. However, businesses need to be able to accurately quantify their success. It’s essential to establish specific metrics and KPIs to assess the performance of their supply chain automation project and calculate the exact ROI. 

Establishing Key Performance Indicators (KPIs)

To accurately measure the success of an automated supply chain in healthcare, it’s vital to establish specific metrics and KPIs. These should be tailored to the unique needs of the healthcare organization and might include metrics such as inventory turnover rates, order accuracy, supply expenditure reductions, and time saved in supply chain processes. By tracking these KPIs, organizations can assess the effectiveness of their automation initiatives and make data-driven decisions.

Monitoring and Continuous Improvement

Implementing an automated supply chain system is not a one-time task but an ongoing process. Continuous monitoring of the system’s performance is crucial. This includes regularly analyzing the data collected through the established KPIs, identifying areas for improvement, and making necessary adjustments. Technology and healthcare environments are constantly evolving, so the supply chain system should be flexible and scalable to accommodate future changes and advancements.

Integrating with Existing Systems

A critical aspect of implementing automation in the healthcare supply chain is ensuring that the new system integrates seamlessly with existing systems. This includes electronic health records (EHRs), procurement software, and other relevant systems. Effective integration ensures data consistency, reduces the risk of errors, and enhances the overall efficiency of the supply chain.

Fostering a Culture of Innovation

Lastly, for a successful transition to an automated supply chain, healthcare organizations must foster a culture that embraces change and innovation. This involves encouraging staff to be open to new technologies, providing ongoing training, and creating an environment where feedback is valued and used for continuous improvement. Engaging staff at all levels in the process helps in smoothing the transition and ensures that the benefits of automation are fully realized.

In conclusion, the successful implementation of automation in the healthcare supply chain requires careful planning, choosing the right technology and integration partners, training employees, establishing clear metrics for success, and fostering a culture of continuous improvement and innovation. By doing so, healthcare organizations can realize significant benefits in terms of efficiency, accuracy, and overall performance.

Addressing Challenges and Overcoming Obstacles

Businesses will likely face hurdles while transitioning from legacy systems to an automated healthcare supply chain. Any kind of change will influence an organization’s efficiency and productivity. It’s crucial to maintain uptime during the transition process. Even a brief period of downtime can have long-term business implications. Therefore, all key stakeholders within the organization need to buy into the new innovation and work together to ensure a smooth technological transition.

The most important thing for healthcare organizations to remember is that all technology, including automated supply chains, is designed to help the end user (in this case, the patient). End-user experience needs to be the primary factor behind every technological decision. It’s easy to get carried away by AI-driven automation technologies. Therefore, it’s vital to use patients’ expectations and experience as a guiding light when in doubt about optimizing supply chains in healthcare. Healthcare supply chain automation can facilitate long-term and far-reaching change if done correctly.

Conclusion

In conclusion, the journey towards automated healthcare supply chains is both a necessity and an opportunity. The healthcare industry, facing unprecedented challenges and ever-evolving demands, stands at a critical juncture where automation is not just beneficial but essential. The implementation of automated supply chains represents a leap into a future where efficiency, accuracy, compliance, and patient satisfaction are significantly enhanced.

The rise of digital technologies, coupled with the pressing need for operational optimization, has set the stage for a transformation that promises to redefine how healthcare organizations manage their supply chains. Automation, in this context, is not just about adopting new technologies but also about embracing a new mindset – one that values precision, foresight, and adaptability.

the strategic advantages gained through automation – including improved inventory management, robust risk mitigation, enhanced regulatory compliance, and superior data analytics – position healthcare organizations to thrive in an increasingly competitive and complex landscape. The ability to forecast demand, streamline operations, and respond swiftly to market changes is invaluable in an industry where the stakes are invariably high.

However, the path to successful automation is not without its challenges. It demands thoughtful planning, a deep understanding of the unique needs of healthcare supply chains, and a commitment to continuous learning and adaptation. The integration of automation should be viewed as a journey, not a destination – a process of ongoing refinement and improvement.

As the healthcare sector continues to evolve, the role of automation will only grow in significance. It offers a powerful tool for healthcare providers to meet the challenges of today while preparing for the uncertainties of tomorrow. In embracing automation, the healthcare industry is not just optimizing its supply chains; it is paving the way for a future where healthcare is more efficient, more responsive, and ultimately, more effective in serving the needs of patients.

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]]> Supply Chain Management in Healthcare: How to Build Resilience https://www.rinf.tech/supply-chain-management-in-healthcare-how-to-build-resilience/ Mon, 20 Feb 2023 16:56:13 +0000 https://www.rinf.tech/?p=21758 This article explores how healthcare organisations can become more resilient and future-ready by automating and optimizing their supply chain management. 

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Supply Chain Management in Healthcare: How to Build Resilience

The healthcare supply chain management market is expected to increase from $2.61 billion in 2022 to $6.90 billion by 2029, with an estimated growth rate of 14.9% during the forecast period (source: Fortune Business Insights).

The healthcare sector is facing a pressing need for efficient supply chain management as healthcare organizations strive to boost their profitability and address growing supply chain costs. The drive by some organizations to make their supply chain operations more flexible and robust has increased demand for supply chain management solutions. Moreover, strategic partnerships and mergers among leading players and hospitals have resulted in greater adoption of such solutions.

This article explores how healthcare organisations can become more resilient and future-ready by automating and optimizing their supply chain management. 

Contents

Supply Chain Management in Healthcare

Healthcare supply chain management (SCM) is the process of organizing, carrying out, and keeping track of the movement of medicines, medical equipment, and supplies from vendors to patients. It involves an intricate web of distributors, producers, healthcare professionals, and patients. SCM in the healthcare industry aims to guarantee that the proper items are accessible in the appropriate quantities, at the right times, and at reasonable prices.

The primary goals of healthcare supply chain management are to improve visibility and efficiency throughout the supply chain. In recent months, these goals have also expanded to include the strategic objective of enhancing supply chain agility and resilience, which is essential in these times of rising uncertainty and volatility in supply and demand conditions. By properly managing the health supply chain, supply partners will be better able to identify and address bottlenecks, possible interruptions, and other problems that may arise along the end-to-end supply chain. It can reduce waste and wasteful spending while enhancing patient care and safety.

Building a Resilient Healthcare Supply Chain Management System

The healthcare industry’s supply chain aims to locate vulnerable departments and provide solutions to address them, leading to improved health outcomes and financial support for global health.

The advantages of a resilient supply chain in healthcare are improved operations, effective resource utilization, happy staff, effective treatments, and happy patients. Supply management in healthcare facilitates the proper integration of hospital departments, processes, and financial management. It functions as a critical supporting system for combining various activities.

Supply chain management in hospitals ensures that necessary products and medications are readily available, minimizes inventory waste, enhances patient care, and coordinates departmental efforts to reduce errors. This can be achieved through integrating digital systems, streamlining processes, and implementing technology to advance supply chain digitization.

Using technology to support healthcare supply chain resilience

Healthcare organizations are increasing their technology investments every year. According to a Gartner survey, 63% of healthcare organizations reported that they intended to raise their investment in technology in 2023, with 61% stating that their new technology investments were a direct result of the COVID-19 pandemic. A 2022 study by Deloitte and the Scottsdale Institute, a non-profit healthcare membership organization, revealed that leaders in digital transformation prioritize using digital technology to enhance patient satisfaction and involvement, enhance the quality of care, and secure better patient outcomes.

The development of the healthcare supply chain management system’s resilience can be considerably enhanced by technology. For instance, automation and data analytics can help decrease manual errors, increase visibility and traceability, and improve decision-making. Real-time data can be provided by adopting a cloud-based supply chain management system, enabling rapid and effective decision-making. The usage of blockchain technology can also promote transparency, decrease fraud, and boost supply chain efficiency. Here are some technologies that can increase resilience in the healthcare supply chain industry.

Enterprise Resource Planning (ERP) systems combine all aspects of supply chain management onto a single platform, increasing data precision and minimizing human error.

Cloud-based supply chain management systems offer real-time data, facilitate rapid decision-making, and increase the supply chain’s overall resilience.

Blockchain technology boosts resilience by increasing transparency, lowering fraud, and enhancing the effectiveness of supply chain operations.

Artificial Intelligence and Machine Learning can analyze vast volumes of data, find patterns, and anticipate outcomes, enabling better supply chain management and decision-making.

Internet of Things (IoT) devices can be used to follow the flow of commodities, keep an eye on inventory levels, and identify possible problems, all of which help to maintain the supply chain’s resilience.

healthcare supply chain management solutions

The Main Challenges of Implementing Technology in Healthcare Supply Chain Management

Healthcare institutions must overcome various challenges when integrating technology into supply chain management. Among the principal concerns are:

Integrating several systems

Integration is one of the main obstacles to using technology in healthcare supply chain management. For instance, many healthcare businesses employ various distribution, purchasing, and inventory control technologies. These systems integration might be complex, costing money. Integration may also be challenging due to compatibility difficulties between several platforms.

The lack of standardization

The absence of standardization in data formats and protocols in the healthcare sector can significantly impact the effectiveness and reliability of supply chain management operations. It becomes challenging for enterprises to exchange information, integrate systems, and share data across many departments and stakeholders when separate systems employ distinct data formats and protocols. Due to data discrepancies, inefficiencies, and inaccuracies, supply chain activities may become less accurate and reliable overall.

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Data security and privacy

Data security and confidentiality are vital since sensitive data, such as patient health records, must be safeguarded against unauthorized access, theft, and abuse. As new systems, networks, and devices are brought into the environment, using technology in supply chain management may give rise to fresh security and privacy concerns.

As sensitive data is sent and kept in numerous locations, using cloud-based systems, mobile devices, and the internet of things (IoT) might raise the risk of data breaches. In addition, as hackers and cybercriminals look to exploit holes in new systems, adopting new technology may lead to the emergence of unknown attack vectors.

Interoperability

Interoperability is the capacity of several systems to share and utilize data with one another. Interoperability across various systems can be extremely difficult in healthcare since different systems may employ multiple data formats, protocols, and technologies. Data sharing, system integration, and information exchange across many departments and stakeholders may become challenging.

Solving Challenges and Making the Most out of Technology in Healthcare SCM

Healthcare enterprises may overcome the difficulties of integrating new technology with current systems and produce a resilient and effective supply chain management system by adhering to these best practices and using the appropriate knowledge and technology. The organization may thoroughly analyze existing logistics processes to spot bottlenecks and inefficiencies and then utilize the results of this analysis to plan the rollout of a new logistics management system.

Organizations must adopt standard data formats and protocols, invest in solutions that support data interoperability, and adopt standard data formats and protocols to solve interoperability difficulties in the healthcare sector. They could enable information flow between various systems using data exchange standards and application programming interfaces (APIs).

Health organizations must collaborate to develop standard data formats and protocols to address the issues caused by the healthcare sector’s lack of standardization. This may entail working with other institutions, business groups, and technology providers to encourage the adoption of standards and make investments in products that facilitate data integration and interoperability.

Regarding data security and privacy, healthcare organizations must take a proactive and all-encompassing approach to solve these challenges to reduce the constant threats they usually face. The Health Insurance Portability and Accountability Act (HIPAA), which establishes standards for protecting patient information, is one regulation and standard that healthcare organizations must adhere to. To safeguard the security and privacy of sensitive information and to prevent new risks from emerging due to the use of technology in supply chain management, enterprises must ensure that their use of new technologies complies with these laws and standards.

Global Content Portal for Healthcare SCM

Check out how Rinf.tech helped one of the leading healthcare business and data automation companies enable better patient care and maximize industry savings through cloud-based supply chain technology and analytics solutions.
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Conclusion

A resilient healthcare supply chain management system is vital for assuring the accessibility of necessary medical tools, supplies, and medications, particularly in emergencies. The healthcare supply chain management system can become more resilient with the proper use of technology. However, integrating systems and standardizing data can be complex when deploying technology in healthcare supply chain management.

Healthcare institutions may overcome these obstacles and create a robust supply chain management system that matches their unique demands and improves operations by adhering to best practices and utilizing the appropriate technology and employing the right expertise.

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This article examines how rinf.tech’s 8-year partnership with Intel has advanced open-source innovation by addressing real-world challenges in cloud, IoT, and AI ecosystems. It highlights joint contributions to improve workload performance, enhance IoT sensor integrations, and optimize computer vision using OpenCV and OpenVINO. Read more into how these contributions deliver measurable value to the global developer community and accelerate enterprise adoption of scalable, reliable technologies.

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]]> Health, safety and well-being in tomorrow’s car https://www.rinf.tech/health-safety-and-well-being-in-tomorrows-car/ Fri, 17 Jan 2020 15:12:46 +0000 https://www.rinftech.com/?p=5298 The car of the future is still a conveyance, but more and more an AI supercomputer on wheels, analyzing terabytes of sensor data and making sense of it.​

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Health, safety and well-being in tomorrow's car​

How the Automotive industry will reshape your driving experience with soon to be everywhere in-car sensors.

From its inception to recent years, the car has functioned as little more than a machine transporting people from A to B through means of converting gasoline or electricity into motion.

The car of the future is still a conveyance, but more and more an AI supercomputer on wheels, analyzing terabytes of sensor data and making sense of it.

As we speak the high-end cars are already gathering more than 100 Electronic Control Units (ECUs) and running close to 100 million lines of code. Automotive industry is transitioning from hardware to software-defined vehicles and this is seen in the rapidly increasing software and electronics price tag per vehicle. Software is expected to grow at a compound annual rate of 11 percent, to reach 30 percent of overall vehicle content in 2030, from today’s 10%, for a D segment car.

While exterior sensors point outward in all directions to detect the countless factors on the road, powerful sensors inside the car will point inward toward drivers and passengers to detect factors even more complex: health state, emotion, attention and human action. At present, many automakers are paying attention to develop IoT enabled vehicles, including healthcare, accident prevention, vehicle safety, driver safety, driver and passenger comfort, vehicle monitoring etc.

Gartner predicts 88% of all new vehicles sold worldwide will incorporate connectivity in 2028, with the greatest proportion in the U.S., Japan, South Korea and Europe.

The key to connected vehicles becoming a moneymaking enterprise is taking sensor information and applying it in a very differentiated way from what a phone or a smart watch can provide.

Health detection

It’s the trend that motivated Ford to work on health features for an edge in the competitive automotive market. The company has experimented with three different types of health features for their test cars.

1. A heart monitor in the driver’s seat

An electrocardiography (ECG) reader that’s integrated into the driver’s seat. While the ECG systems used in hospitals use electrodes attached to the skin, this contactless system records its signals through the driver’s clothes. Obviously, a thick winter jacket or leather coat won’t work. The ECG happens seamlessly while driving and when you get to the office the analysis is already waiting in your inbox.With the estimates showing that 30% of its European customers will be over 65 in 2050 and with older people quite often having heart problems, Ford seems that it has a safe market for this kind of feature.

2. Glucose-monitor data in the car’s dashboard display

This potential feature would be brought in via wearables and apps that are connected to the car via Ford Sync, which puts info on the car’s central display screen. This works also for a backseat passenger, like a child. His mother can safely check his sugar level if necessary, on the central screen, avoiding dangerous gestures like turning her head.

3. A full check-up while driving

Connectivity would make in-car telemedicine a possibility, so instead of visiting your doctor, your vehicle can connect you with him. Sensors in the car could remotely record the driver’s vital signs and send that data to the doctor during the consultation.

Ford is already equipping test cars with all kinds of cameras and sensors to remotely measure vital signs. Body temperature can easily be measured with infrared cameras or in-seat sensors. For respiration and heart rate, low-intensity radar can be used; as the person’s heart beats and their lungs expand and contract, the radar signal changes.

Much attention is paid to post-crash, internal injuries to the driver and passengers that aren’t visible but can be life-threatening. This is the context for medical connected services technology from MDGo, an Israeli start-up. MDGo’s software analyses crash data routinely, collected by a car’s sensors and electronics infrastructure in real-time, deducts the impact of a collision on a person’s internal organs, head, neck, chest and pelvis, then extrapolates the injuries they may have sustained. It then uses the vehicle’s embedded connectivity to send a message alerting emergency medical responders and local hospitals to these possibilities, allowing them to figure out their best course of action before arriving at the scene.

Sensors for monitoring the health of users can already be found in many conceptual vehicles of traditional manufacturers and start-up companies. However, there is a real risk that this kind of sensitive information could be misused by insurance companies and healthcare companies as well as hackers.

Emotional and cognitive detection

Automakers have been outfitting vehicles with a growing set of sensors as well as embedded cloud connectivity. Besides the above uses for these technologies, like detecting the health and wellness of the vehicle’s occupants — both during an uneventful ride or after a major crash, emotion and activity detection is being designed to alter or even override risky choices to save lives. Drunkenness, stress, confusion, distraction, or sleepiness will be detected, but these sensors will also identify and pay attention to the interaction between people in the car, then use artificial intelligence to “understand” the context of human behaviour in order to respond accordingly.

Surprising things happening inside the cars can lead to accidents. Drivers can see something disturbing—a car accident, or an animal injured by a car—or do something distracting, such as spilling coffee or dropping a mobile phone. Emotion and activity detection can detect when this happens and take safety-related actions, such as going into autonomous mode briefly and slowing down until the driver can recover. If an emergency arises, even with an unconscious or incapacitated driver, cars should be able to call 911 or even drive them autonomously to the hospital. Driver inattention is critical since the vast majority of car accidents are due to human error. Understanding the driver’s cognitive state is crucial.  For example, ADAM CogTec company, from Portland, developed Adaptive Driver’s Attention Management system (hence the company name) which flashes white LED lights in the driver’s peripheral vision field and analyses physiological responses to the visual stimulus: eye’s rapid movement, pupil dilation and eyelid position, in addition to other ocular parameters. Tests are done at the start of a drive and repeated periodically in order to keep trace of changes. And if the results signal impairment, the vehicle’s ADAS technologies can initiate preventative measures to avoid potential accidents. The company’s product can distinguish among impairments caused by alcohol, drugs, extreme fatigue or wandering mind. It was tested against the breathalyzer in the lab and it has been proven 95% accurate in regard to alcohol impairment.

From enhancement to frivolity

But safety isn’t the only objective. Some new features enabled by this technological shift will combine both safety and satisfaction. Gimmicks like “gaze detection” will probably be available, only because technology allows it. This will enable cars to answer questions like “What is that building?” or “Is that restaurant open?” and get an exact answer.

Not a life changing feature, but for some a welcomed addition.

The venerable automobile will be transformed over the next decade or two by autonomous driving technology and we’re all expecting this transformation. What most consumers are not expecting is a whole new relationship with their cars. While emotion and activity detection, combined with AI, will enable the car to understand, predict, help, and protect you (even from yourself) cars will also become more communicative. For example, what can a car do when the driver is consumed by road rage? There are a few ideas, like playing soothing music, suggesting a place to stop, changing the temperature, or even taking control from the driver and pulling over. Things can become a bit weird (and possibly make an angry driver even angrier…) like the voice of the car’s virtual assistant taking the driver through deep breathing exercises and what is essentially on-the-spot anger management. The car becomes your anger manager, helping you to calm down. Hopefully.

Meanwhile let’s hope that autonomous driving will not turn that soon into obnoxious driving.

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