Health Technology, AI
Article | July 18, 2023
Contents
1. Getting Started with LIMS Software
2. Benefits of Incorporating LIMS Software into Lab Management
3. LIMS Software Classification
4. Selecting the Right LIMS Software: A Comparison of Variants
5. How LIMS Software Revolutionized Laboratory Management
6. Future Scope
1. Getting Started with LIMS Software
Laboratory Information Management System (LIMS) software automates laboratory operations, improves productivity, and ensures the accuracy as well as reliability of laboratory data. It can be implemented in clinical laboratories, research & development labs, and environmental testing labs and tailored to meet specific needs. LIMS software seamlessly integrates with other laboratory systems, such as electronic lab notebooks and scientific data management systems.
LIMS class software enables storing and managing all information in one place, improving day-to-day work. Yet, research reveals that still 40% of industry leaders 'had not embarked on applying digital to research and development or quality control labs'.
(Source: Accenture)
2. Benefits of Incorporating LIMS Software into Lab Management
By implementing LIMS software, laboratories can significantly reduce time spent locating samples and records, entering data, and generating reports.
LIMS software also offers additional advantages when integrated into laboratory management, such as
1. Optimizing: LIMS automates laboratory processes, allowing for a paperless environment and increased productivity. It also ensures accurate test results by preventing the use of outdated instruments.
2. Automating: LIMS facilitates the input of essential sample information, including its source, date, time, and location of the collection as well as processing data.
3. Compliant: LIMS helps labs follow FDA regulations by creating an audit trail that tracks all activities, including record creation, modification, and deletion. It also enables electronic signatures to authenticate key activities and keep data secure and traceable.
4. Collaborative: LIMS streamlines inter-laboratory collaboration through the option to share data access. This allows lab technicians from disparate laboratories to be seamlessly assigned to different projects and obtain the required information without disruption.
5. Security: LIMS systems offer various mechanisms for managing user access, such as an in-built user management system with a unique username and password, integration with LDAP or Active Directory for user authentication, and access through an Identity Server.
3. LIMS Software Classification
Laboratory Information Management System software can be classified based on several criteria, including functionality, deployment model, industry focus, and the laboratory's needs.
Here is a list of critical features that can be considered while classifying LIMS software:
1. Functionality: Different LIMS software may have varying functionality, including sample tracking, data management, instrument integration, quality control, workflow management, and reporting.
2. Deployment Model: LIMS software can be deployed on-premises or in the cloud. On-premises deployment means that the software is installed and run on the laboratory's own servers, while cloud-based deployment means that the software is hosted and maintained by a third-party provider.
3. Industry Focus: LIMS software can be designed for specific industries or applications, such as pharmaceutical research, clinical laboratories, food and beverage testing, environmental testing, and more.
4. Open-Source vs. Proprietary: LIMS software can also be classified as either open-source or proprietary. Open-source software is freely available and can be modified by users, while a company owns proprietary software and requires a license to use it.
5. Scalability: The size of the laboratory and the number of users accessing the LIMS software can also be a factor in classification. Some LIMS software may be more scalable, allowing for easy expansion as the laboratory grows.
6. Integration Capabilities: LIMS software can also be classified based on its ability to integrate with other software or instruments. Some LIMS software may be more flexible and have better integration capabilities than others, allowing for seamless data exchange between different systems.
4. Selecting the Right LIMS Software: A Comparison of Variants
While selecting the most appropriate LIMS variant, the wide range of available options can pose a challenge for laboratory decision-makers. To aid in this selection process, a comprehensive comparative analysis of LIMS variants is presented below:
1. Lab managers can adopt an objective approach for evaluating and comparing different LIMS solutions by creating a grading rubric. This involves designing a table with separate columns for each LIMS vendor and rows listing the desired features as well as functionalities. To provide a more comprehensive evaluation, advanced rubrics may include rating each functionality on a particular LIMS using a scale of 1 to 5.
2. Next, it is crucial to review how LIMS solutions are structured and stored. This includes determining whether the solution is on-premise or cloud-based, either as a platform-as-a-service (PaaS) or software-as-a-service (SaaS). For optimal flexibility in the laboratory's computing structure, choosing a vendor that offers LIMS as a comprehensive solution is advantageous.
3. Data access must be controlled by using unique user IDs and passwords. Furthermore, data security standards such as HIPAA compliance and SSL encryption will likely be mandatory across many laboratory industries. It is thus imperative to carefully consider and ensure the security features of any potential LIMS solution.
4. To assess the level of support that can be expected with a particular LIMS, one effective method is to directly inquire with the software vendor about outages, response time, and plans of action to address any glitches preemptively. Managing expectations around the LIMS requires asking about the frequency of LIMS updates, including how often the platform is updated, how updates are announced and deployed, and the expected duration of any update-related outages.
5. While selecting a LIMS solution, laboratories must establish a target go-live date, especially when implementing the system in response to, or preparation for, an audit. Software vendors should provide a deployment and implementation timeline, which can be used to compare with the laboratory's objectives and goals. This helps to ensure that the LIMS solution is implemented in a timely and efficient manner.
5. How LIMS Software Revolutionized Laboratory Management
LIMS software has fundamentally revolutionized the laboratory management system in several ways. Before the advent of LIMS, laboratory operations were often paper-based and highly manual, leading to inefficiencies, errors, and inconsistencies. However, with the implementation of LIMS, laboratories have become more efficient, accurate, and compliant.
LIMS has also improved laboratory productivity, allowing scientists to focus on higher-value tasks like data analysis and interpretation. It has enabled collaboration between different laboratories, facilitating communication and knowledge sharing between scientists, researchers, and analysts, and is also leading to more significant innovation and progress in the field of science and research.
6. Future Scope
The future scope of Laboratory Information Management System software is promising as it continues to evolve and adapt to the changing needs of laboratory management. Potential developments include integrating emerging technologies such as artificial intelligence, machine learning, and robotics, cloud-based solutions for scalability and accessibility, IoT integration for automation and safety, enhanced data analytics for improved decision-making, and mobile applications for on-the-go access. Moreover, with SaaS LIMS, there are no license costs, minimal installation fees, and no need for in-house servers or databanks, resulting in reduced IT maintenance costs for hardware and software.
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Healthtech Security
Article | August 31, 2023
The use of technology in hospitals has been increasing for the last decade and at present, it has reached an all-time high. However, it may be surprising to realize that the healthcare supply chain management (SCM) area of hospitals has not fully embraced technology. According to a survey conducted among 100 hospitals recently, nearly half of these hospitals use less sophisticated/outdated tools or manual processes, such as Excel spreadsheets, to manage supply expenses, inventory, and other supply chain activities.
According to the Association for Healthcare Resource & Materials Management (AHRMM), healthcare supply chain management costs will surpass labor costs shortly for the number one position. But there is good news; similar surveys show potential for significant healthcare supply chain management cost savings. For example, an analysis by Navigant consulting estimates that, by standardizing and streamlining the healthcare supply chain management processes, hospitals can save an average of US$11 million per hospital or 17.7% annually.
What is Healthcare Supply Chain Management
Procurement, distribution, and movement of products and services from the receiving deck to the patient encompass the process of healthcare supply chain management.
There are a lot of challenges in healthcare supply chain management processes. The major issues include demand for specific types of product in inventory, hoarding of supplies, out-of-stock issues that may lead to expensive delivery charges, product expirations, unwarranted increase in inventory dollars based on demand, and pilferage, among others. These issues may contribute to out-of-budget supply costs.
Healthcare supply chain management is an extremely complex process. Poor product standardization, inadequate data reporting, a lack of automation throughout the process, and increasing regulatory requirements only add to the difficulties. Thus, an easy way to get rid of all these complexities is to incorporate advanced technologies in the healthcare supply chain management process.
Healthcare Supply Chain Management Technology
Advanced healthcare supply chain management technologies are developed to transform the supply chain process to a more efficient one by automating repetitive manual tasks in hospitals and other healthcare organizations. Minimizing waste, enabling timely data-based decision-making, streamlining inventory, and reducing labour, supply, and operational costs are the major benefits of healthcare supply chain management software.
There are mainly two types of healthcare supply chain management technology solutions, enterprise resource planning systems and niche healthcare inventory and healthcare supply chain management solutions.
Enterprise Resource Planning (ERP) Systems
ERP systems are not the best for healthcare supply chain management specifically because these systems are used in many industries. Also, the concerned vendors often do not have the required healthcare expertise. As this is mainly implemented by larger and non-healthcare related businesses, it may take a longer time to implement. Also, it requires dedicated customization resources. This makes it inflexible for the healthcare industry supply chain management.
Niche Healthcare Inventory and Supply Chain Solutions
This type is known as the best-of-breed healthcare supply chain management solutions. They provide healthcare-directed and flexible solutions as they are affordable and incorporate deeper industry knowledge. These systems can also focus on specific areas such as interventional medicine, surgery, and other healthcare departments.
Why Should Hospitals Invest in Healthcare SCM Technology
Although hospitals and other healthcare organizations have demonstrated excellent performance in fighting COVID-19, the pandemic exposed vulnerabilities in the present healthcare supply chain management process. Supply shortages, especially lack of personal protective equipment (PPE), highlighted how poor healthcare supply chain management affected healthcare providers. The underlying concern behind the supply shortage is that hospitals’ supply chains are not well prepared for the future of healthcare. Organizations are depending upon old models, which are not innovative, agile, or advanced enough to cater to the requirements of the modern data and technology-driven world.
Automating Healthcare supply chain management will be a major differentiator for hospitals at present and in future, impacting all aspects, including brand reputation, consumer trust, and quality of care. Healthcare leaders, such as organization heads and hospital administrators, require a new healthcare supply chain management system to deliver care at a lower cost. To realize this requirement, they have to make bold decisions and speed up the transformation of their healthcare supply chain.
Acceleration of healthcare supply chain management transformation will be grounded in many imperatives, which are related to process, people, and technology. The digital transformation focusing on these areas will fasten the long-term growth and sustainability of healthcare supply chain management.
Digital Transformation to Raise Healthcare Supply Chain to New Levels
The Healthcare industry has given importance, other than information systems and key enterprise technologies, to electronic health record platforms in the last decade. Currently, the healthcare industry is on the brink of a digital revolution. Several technologies, such as robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML), are opening new doors for healthcare organizations to evolve to a level beyond anything previously imagined. It will surely affect healthcare supply chain management.
However, the healthcare supply chain has not yet kept pace with changing technologies. To create a fully developed supply chain, hospitals should find innovative ways to integrate their physical process with digital data. Hospitals should start using tools such as predictive analytics along with digital statistics and information to drive decisions.
Investing in this technology integrated healthcare supply chain management, hospitals, and other healthcare organizations will help achieve optimal benefits. However, it needs an efficient deployment of new technologies, such as the integration of ML and AI, and maintain a functioning healthcare system.
Collaboration Between People and Technology for Better Results
Years of operating in traditional systems has delayed the progress of healthcare supply chain management. As the consequences of running out of stock can be devastating in the healthcare system, leaders and clinical professionals have to look at supply chain differently. The COVID-19 pandemic has elevated and strengthened the necessity of better collaboration. Now leaders need to act timely to solidify these changes, brought out by the pandemic, to stop people reverting to behaviours that were problematic in the past.
Automation will make the future of the workforce and supply chain workflows more efficient. The greatness of the impact on future healthcare supply chain management performance depends upon the greatness of the automation of work. Hospitals should highly focus on technology to perform various repetitive tasks, including delivering patient food trays, gathering supplies and bringing them to caregivers, picking case carts, and transporting supply carts to storage rooms. Staff efficiency is increased, when repetitive tasks and predictable work are automated and performed by robots. This helps staff focus on more complex tasks that drive innovation and value.
Digital transformation occurs only when there is strong leadership and a conducive culture. Hospitals should realize the value of data in decision making and change their view about the supply chain leader. Modern healthcare supply chain management leaders are those who excel in education, governance, collaboration and communication, and change management. In hospitals, the supply chain management leader position should be elevated to executive level and they should be capable of using modern technologies for effectively handling the healthcare supply chain management process.
The Future of Supply Chain Operations
The sole aim of effective healthcare supply chain management has been finding the lowest cost products for the end-user without considering much about the profit of the manufacturer. The alarming product shortages and supply chain disruptions during the pandemic have changed that. Now, leaders are much more focused on how to diversify manufacturer product origins.
Technological advancements and digital transformation will encourage the efforts to evolve vendor and inventory management, which is evident in procure-to-pay strategies. In case of procure-to-pay strategies, hospitals can reduce cost and increase efficiency by integrating technology assistance in areas such as accounts payable, including invoice discrepancies, match exceptions, and placing purchase orders electronically.
In hospitals, healthcare supply chain management should evolve quickly to forecast and adjust the changing flow of patient volumes and care sites. Increased acute care in the home, utilization of telehealth, and remote patient monitoring will surely change demand for care facilities and supply demands from consumers. Efficiently catering to these requirements with the assistance of the latest technologies will determine the future of hospitals and healthcare supply chain management. In the healthcare supply chain management, technologies will play a vibrant role in boosting competence and reducing cost from now. Get yourself updated to avoid getting outdated!
Frequently Asked Questions
What is the value of supply chain management in healthcare?
The healthcare supply chain management process ensures the right time availability of medicines, maximizing patient care, minimizing inventory wastage, and minimizing human errors. Healthcare supply chain management ensures timely availability of medicines for all patients at right time at lower cost possible.
What are the 5 basic components of supply chain management?
The five basic components of supply chain management are plan, source, manufacture, deliver, and return. Through these five components of supply chain management hospitals ensure the availability of all the medicines in hospitals. Shortage of essential medicines and other articles brings total chaos to the system.
Why is Supply Chain Management important for a hospital?
Supply chain management is essential for hospitals and other healthcare organizations as it ensures the availability of medicines and medical equipment so that patients get access to all facilities in time. In order to keep a consistent patient experience, an efficient supply chain management is necessary for all hospitals.
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Health Technology, Digital Healthcare
Article | August 16, 2023
Throughout my professional carrier, I iused to visit many companies involved in drug discoveries and had seen the challenges they go through. Some are pleasant as the investigational molecules were moving forward in value chain whereas few faced bottlenecks at the end. The association with Pharma industry over the years had taught me about many new ideas and allowed me to see that how innovative ideas are impacting our social and scientific world to a great extent. The changes we see today, are the results of ideas came from various quarters globally and I feel digital innovation had shaped today’s world differently. The impact of digital platform in today’s Pharma world is a “Game-Changer".
Innovation is a continuous process which simplifies challenges into reality and plays a very important role in our society. Centuries ago, scientists used to spend years in laboratories to understand material science. The chemical science evolved around discovering elements, synthesis of compounds or even isolating products from natural resources. Today’s world is highly indebted to those discoveries and efforts and modern science has gradually moved towards digital platform. Last few decades, innovations based on new technology platforms has made huge impact in scientific discoveries and few such ideas and action I feel has brought significant changes. Our lifestyle and social environment have witnessed deep impact due to such innovation. The chemical science is evolved not around only chemists today but have huge influence of mathematicians and technologists for faster development.
Advancement of digital science, new algorithms to solve the problems has modified the way of drug discovery to a great extent. In the recent past, we were heavily depended on big machines, but innovation has brought the whole items in a small packet now. The technology platform is modified, speed has increased in identifying new drugs with artificial intelligence (AI) and machine learning is accelerating the drug discovery and development processes. Today’s Pharma industries for commercial supplies are now depended on automation, optimization of the manufacturing processes, as well as designing effective marketing and post-launch strategies. The process is aimed to have better control on the operation, improving safety and better predictability of quality. For conducting clinical trials, identifying patient’s profile, an eligibility criteria is crucial which has been made by the processes being faster and cost effective by introducing Artificial Intelligence (AI).
Earlier when focus was to identify the origin of life, finding new elements, compounds or building blocks, today’s world is heavily dependent on data or ‘Big Data’. The amount of information available throughout drug discovery and development process, analyzing, interpreting, and predicting right candidate require high-performance systems to analyze data properly and derive value from it. There is advancement of analytical techniques, which provides more accurate information about the clinical trial reports and the data across patient pool, zeroing down towards right candidate is a real challenge and there are several AI enabled tools available where the processing time is reduced significantly which might have taken several years. The exciting part is that innovation is not only limited to laboratory work but works in coordination of mathematical interpretations, data analysis and provide significant clues to develop new molecules and even provide approach towards therapeutic categories. Currently available advanced technologies enhance drug development process, making it less time-consuming and cost-effective process where AI can recognize hit and lead compounds, and provide a quicker validation of the drug target and optimization of the drug structure design. Data scientists play a very significant role in all these activities.
Innovation focusing personalized medicine is now a reality and companies involved in such basic research have made breakthrough to understand how the human body responds to drug. Software solution is also available for simulating effects of drugs in patient body based on individual characteristics, scientific data for real time prediction of efficacy and drug interaction on individual. These predictive models are shortening drug discovery pathways to a great extent. Small molecule drugs or even large molecules development are heavily depended today on such modelling and predictive approach. The aim to reduce cost of drug development, shortening discovery path, focus on clinical trial mechanism is more productive with a higher success rate. During the pandemic period, in a shortest possible manner, several companies started working to develop new drugs or vaccines using drug-specific exposure models for drugs under investigation for the treatment of Covid-19.
Similarly, discovery platform is also working on cutting edge technology ‘Organ-on-a-chip’ that can emulate the physiological environment and functionality of human organs on a chip for disease modeling, mimicking the impact and could be a game changer in future. I will be happy to see when technology platform can accurately predict human mind and with the help of AI, can find a probable solution to avoid any such complex conflicts. It would be interesting to see that AI is analyzing and predicting the chemical change in the bodies impacting human mind and analysisng it quickly to predict psychological behavior of the patient and guide physician for right therapy. This may lead to predicting problems one may face in old ages where the decays may be prevented at early stage. This is a challenge but understanding and predicting psychological behavior may improve patients’ life. Depression and its remedy may be based on understanding changes, patterns of physicochemical behavior and its impact during mood swing and predicting such things in advance by using the advanced AI tools could be a game changer.
Another path breaking development where technology involving both engineers and scientists to help drug design to obtain maximal therapeutic benefits for patients including designing drug delivery systems and biomedical devices is 3D-printing technology. This involves high end computer simulations making analysis faster and predictive than before. Influence of 3D printing in designing variety of dosage forms has simplified its preparation. Though further study is under progress but the technology implementation at late has reduced cost of drug development to a significant extent and will add value in future drug development. It is interesting to see how this 3D printing technology works on human brain mapping and predicting a right path for treatment for betterment of large patient pool. Today with advanced technology, we are now more dependent on machines, limited close interaction with our near and dear ones, but created more friends on social platform. Though life looks easy, but over dependent on machines is creating another complex environment and this growing complexity may change the disease pattern. It will be interesting to see that how these technology platforms improve further to ease out such complexities for a healthy future.
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Health Technology
Article | July 6, 2022
In 2021, the introduction of Amazon Care marked the first time a prominent technology firm stepped into the healthcare services industry. The fact that Amazon filed paperwork to offer care in multiple states without much fanfare is intriguing. In March 2021, the company confirmed the details of its new services, announcing that it would be delivering the services through an independent private medical practice called Care Medical.
The move may signify another diversification for Amazon, but what does it mean for the healthcare services landscape?
The Highlights of Amazon Care’s Services
Home healthcare
Amazon announced that it would be participating in an advocacy group for home healthcare. The Moving Health at Home initiative aims to transform how policymakers view the home as a site to deliver clinical services. Amazon Care may be riding on the trend for home care that has been evolving in the form of remote patient monitoring for post-acute care management and chronic care.
Employer-oriented offering
Amazon Care aims to become a workplace benefit partner for employers. One of the pain points it is directly addressing is the challenge of runaway inflation that increases healthcare costs.
Virtual care simplified
The most significant offering that Amazon Care plans to lead with is virtual care that promises to reduce wait times for quality patient care to under 60 seconds. It also includes the option to access 24-hour care services through messaging and video calling. In addition, it eliminates unnecessary traveling and long wait times by delivering care in the comfort of the patient’s home.
The Path Ahead
Amazon is known for introducing a slew of initiatives in the health and fitness sector, like the Halo wearables, a data management product called Amazon Health Lake, and a healthcare delivery system called Haven, which doubled over in 2021 after a three-year run. However, the tech juggernaut is not about to stop attempting to disrupt healthcare services. Only time will tell whether Amazon Care finally proves to be a feather in Amazon’s healthcare cap or another ambitious project that bites the dust.
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