Healthtech Security
Article | August 31, 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 It also ensures accurate test results by preventing the use of outdated instruments.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.
Read More
Digital Healthcare
Article | November 29, 2023
Artificial Intelligence or AI has attained continuous evolution over the years and witnessed widespread adoption across major industries of the globe. The Forbes report of December 2021mentions that the number of AI startups since 2000 has increased 14 times, and investments in AI startups have grown six times. It underlines the fact that the AI industry, powered by its path-breaking developments and innovations, has always been an attractive and trending option in the market.
Within a very few years, AI has taken over different segments of healthcare like wellness, early detection, diagnosis, decision making, treatment, research, training, public health functions (surveillance and outbreak response), virtual care etc. A study by Accenture claims that AI-enabled devices and gadgets meet 20% of the clinical demands, and this has reduced the unnecessary visits to hospitals by a great number.
Applications of AI in healthcare is broadly categorised into 3 segments, namely, Patient-oriented AI; Clinician-oriented AI; and Administrative-oriented AI. The transformative role of AI in healthcare is undeniable, as it scripts new journey for patients and practitioners, alike.
According to Healthcare IT News, 63% of the research subjects agree to the observation that the devices and machinery enabled by AI have provided excellent value to the specialty healthcare divisions like radiology, generic pharmacy, pathology, etc.
The rapid growth of AI in highly delicate domains like healthcare calls for great promise to accelerate diagnosis and treatment. At the same time, it also puts ethics, patient safety and privacy concerns at the heart of it; thereby calling for a framework of governance. Gartner report of July 2019 predicted the application of AI in more than 75% of the healthcare delivery organizations (HDOs) around the globe.
Since most of these HDOs are new to adopting and applying AI-enabled machinery and services, AI governance is crucial to prevent the actions that may lead to errors, misjudgements and further chaos. Moreover, the degree of variance in the application of AI is high, and therefore it is not advised to implement the AI mechanisms without proper guidance or governance.
From AI-enabled smart bands to pacemakers, the range of devices and gadgets offered by the AI industry is simply remarkable. The implementation of AI in the healthcare sector has proven to be highly effective in drastically reducing the scope of slipups. Moreover, AI has also facilitated early detection of illness with the help of daily use gadgets and devices in a smart way.
At this juncture, it is equally important to create data governance framework that ensure ethical principles are applied to patient, providers and payers’ data. Further, AI initiatives by healthcare providers should be created using transparent protocols, auditable methodologies and metadata. These technologies should do no harm, reduce biases and help patients make informed decisions about their care.
A significant part of AI governance also lies in change management. To build trust towards AI’s adoption across the healthcare ecosystem, there should be a dialogue between clinicians, scientists, technologist and end-users. Such discussions will address the opportunities, value and investment, including concerns across the stakeholders.
In fact, prominent think tanks suggest healthcare providers to establish an AI Governance Council to monitor the value, investment and use of strategic AI capabilities. Some of the crucial roles and responsibilities for the Council include addressing legal and regulatory compliance; clinical evaluations; ethical usage guidelines and organisational deployment of AI across the system.
AI is indeed a revolutionary technology that has huge surprises up its sleeves for the future. But exploring new frontiers comes with its fair share of challenges. Establishing appropriate governance over AI implementation and initiating a conversation around the ethical implications and regulations as well, will play a fundamental role in the introduction and scale-up of AI in healthcare.
Read More
Health Technology, Digital Healthcare
Article | September 8, 2023
With consumers’ share of healthcare costs expanding, we need to do a better job making charges more transparent and more predictable
My husband recently stubbed his toe. Badly. Badly enough that I encouraged him to go see a doctor. He was reluctant. While I suspected he’d rather just garner sympathy by complaining to me while limping around the house (just kidding, honey), his stated reason was all too familiar: “I have no idea what we’ll have to pay. They’ll want to do anX-ray,it might need surgery, and I have no idea what it’ll cost.” All true. We have good health insurance; but like most Americans, when we go to the doctor or have a procedure, what we will actuallyhave topay out of pocket remains a mystery.This is something that we can and should change.
As consumers we are shouldering more and more of the cost of healthcare. And the biggest increases are for those of us with employer-sponsored plans. According to an analysis of federal data by the Commonwealth Fund,deductibles in employer plans more than doubled between 2008 and 2017, from $869 to $1,808. Especially troubling, an accompanyingCommonwealth Fund survey revealed that only 62% of adults were very or somewhat confident in their ability to afford healthcare.
This increasing burden is also evident when you look at the crushing levels of medical debt in the United States. According to a new studyby JAMA, medical debt is now the largest contributor to personal debt. And the data for this study was collectedbeforethe COVID-19 pandemic.
Some of this debt is driven by unpredictability—if the heart procedure you needed costs several thousand dollars more out of pocketthan you thought it would, you may not be prepared, emotionally or financially, to pay it. This is a bad outcome, obviously. The risk of nonpayment rises for the provider; and a recuperating patient is burdened with the stress of a large,unexpected bill.
More skin in the game
Soas consumers are paying more out of pocket, some may become reluctant to seek care (like my husband) or seek more information about what they willhaveto pay for the care they receive. Consumers are also armed with incredible levels of price transparency with other products—everything from hotel rooms to clothing to household items. With so much skin in the game, and the internet providing so much information, consumers’ expectations are changing when it comes to healthcare.
State and federal regulators are also beginning to take action, a trend that will likely accelerate. Most hospitals are now required to publicly disclose the prices they charge. This does not, however, solve the issue for consumers. While it provides a measure of visibility into pricing for insurance companies, Medicare, and Medicaid, it doesn’t show what share the patient will ultimately pay.
Making the complicated simple
The complexity of pricing in healthcare is well documented. Niall Brennan, CEO of the Health Care Cost Institute, a nonprofit that analyzes medical costs, suggests that healthcare costs are too high.As a recent Wall Street Journal article reported, a price of a C-section varied from $6,241 to$60,584 at one hospital. This all has to do with the vagaries of the agreements that hospitals sign with multiple insurance companies and government payers. In turn, each insurance company will have its own deductible and out-of-pocket schedules, which providers don’t have access to.
We are seeking to change this at Change Healthcare. We are piloting our Care Cost Estimator with a few innovative providers. With the Care Cost Estimator, weleverage our unique dataset, and the largest eligibility network in the industry, to make the unpredictable, predictable.Because we’ve managed 15 billion healthcare transactions—and our network covers 1 million physicians, 6,000 hospitals, and 2,400 payers—we have an unmatched ability to analyze what real-world patients are paying for practically any procedure, performed at almost any hospital or clinic.
With a cloud-based transaction engine, providers will now be able to tell their patients how much they will have to pay out of pocket for a given procedure.And this analysis takes place in real time.
Removing unpredictability in pricing
This gives providers the opportunity to offer added value for their patients, taking some unpredictability out of whatis often a stressful transaction. In addition, it accelerates patient payment cycles which, as the patient’s share of the cost burden increases, is becoming more and more important. We’re not talking $50 co-pays anymore; it’s thousands of dollars per transaction. If necessary, providers can also help the patient plan for the expense, offering financing options, thus reducing unpaid bills. For the patient, it allows more informed decision-making and peace of mind.
Testing the beta version of our Care Cost Estimator with our partners will allow us to receive real-world feedback and collaborate with customers on how to continuously improve the product as we scale it. We expect the ROI for providers, in addition to the payment-cycle improvements, will include greater patient satisfaction and loyalty. For the patient, it provides information necessary to help make proper decisions and plan emotionally and financially; in other words, giving the consumer the same information for vital healthcare transactions that’s available to them for practically any other purchase.
This kind of win-win solution is at the core of Change Healthcare’s mission to improve the healthcare experience for everyone—including my husband and his broken toe!
Read More
Article | April 16, 2020
The healthcare industry is experiencing rapid shifts. Some of this is due to the current pandemic, but much of this evolution was happening even before the COVID-19 outbreak. Understanding and embracing the introduction of new technology into the market will be important for healthcare professionals and patients alike. Here are some of the trends worth keeping tabs on:
Read More