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.
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Health Technology, Digital Healthcare
Article | July 14, 2023
Technology in the 21st century is the fuel that drives innovation and ease in almost every industry today. The healthcare sector isn’t far behind. In fact, the medical industry has taken the concept of the Internet of Things and took it to a new level altogether to reimagine the use of medical technology.
Imagine multiple devices like phones, cameras, GPS sensors, and computers interacting with each other through a seamless transfer of data. Now consider wearable medical devices. The exchange of critical medical information through a web of real-time data networks activates near instantaneous responses from doctors, nurses, and medical services. The aim is to anticipate the need for medical attention long before it is needed and remedy the concerns before they reach a critical stage.
That is exactly how the future of the Internet of Medical Things (IoMT) is shaping out to be.
How IoMT is Redefining Everyday Health?
IoMT is a next-generation solution that embeds cutting-edge monitoring and analysis of individual healthcare journeys through medical devices. The smart watch is the most recognizable wearable medical device that is used by millions of people daily to keep tabs on their vitals.
For instance, the Apple Watch series 6 maps blood oxygen levels, sleep patterns, ECG levels, and also reminds the user to wash their hands after returning home.
The market for healthcare IoT products is vast and is constantly expanding. The Tango Belt is a leading example of smart wearable technology that is revolutionizing elderly and disability care. The belt is designed to sense falls and deploy airbags to soften the impact. In addition, it alerts caregivers in the event of a fall. The belt also uses data analytics by collecting mobility data that is then synced to a smartphone app for displaying metrics.
Technologies that Empower IoMT
With the diverse tasks that medical devices must perform, applications exist across a wide spectrum, from artificial intelligence to 5G networks to the cloud.
Consider a pacemaker, for instance. Modern pacemakers are embedded with a multitude of technologies that communicate with each other to send critical patient data to physicians. A pacemaker is a bioelectronic implant that is placed in the chest to control the heartbeat. But a smart pacemaker goes a step further. It is equipped with wireless bluetooth technology that communicates with the patient’s wearable medical device. The smart device or phone will then transfer this data to physicians for check-ups and even alert doctors in the case of anomalies.
To Round It Off
IoMT will subsequently power all medical devices and usher in a future where technology forms the backbone of healthcare service delivery. Although wearable medical technology has been around for decades, the development of a streamlined communication channel between them has redefined their use. Smart medical devices are no longer just an aid but a source of vital individual medical data as well as a way to anticipate care and medical attention.
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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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Health Technology
Article | December 8, 2022
Contents
1. Knowing The Basics
2. Importance Of EHR In A Rural Setting
3. Features That An EHR Must Have In A Rural Area
Today, we will discuss the crucial featuresof electronic health records (EHR) in rural hospitals. However, before listing out the key components, let us first understand what EHR is and how it can help the smooth functioning of medical treatment in a rural setup.
1. Knowing the Basics!
As the name suggests, an electronic health record is a computer file that stores a patient’s medical history, such as diagnosis, treatment, test results, etc. In short, an EHR is a digital version of a patient’s paper health record. It also includes previous appointments, billing details, and other general documentation. The need for an EHR popped up due to its easy and secure availability compared to patients' paper files. In addition, patients and doctors can easily access lab reports through an EHR that is updated in real-time and downloaded on any device with an internet connection.
2. Importance of EHR in a Rural Setting!
Healthcare Information and Management Systems Society (HIMSS) defines EHR usability as “The effectiveness, efficiency, and satisfaction with which specific users can achieve a specific set of tasks in a particular environment.' In essence, a system with good usability is easy to use and effective. It is intuitive, forgiving of mistakes, and allows one to perform necessary tasks quickly, efficiently, and with a minimum of mental effort.”
A patient's electronic health records can be beneficial in an era of digitization. It can improve patient care by minimizing the chances of medical errors, reducing test duplication, and making doctors and patients well-informed by fetching medical records anytime, thereby reducing delays in treatment.
3. Features That an EHR Must Have in a Rural Area
EHRs can prove beneficial in all areas situated far off by accessing the real-time, up-to-date data of patients’ health records and making timely decisions. When the distance between the clinics and specialists is more, an EHR report can easily be sent to look into a patient’s history before delivering treatment.
In a rural setup, EHR helps promote health awareness as patients' data can be monitored without needing to be physically present. Software-as-a-Service (SaaS) Solutions can be easily deployed in places with slow internet and help maintain a lightweight EHR that can support immediate patient care and easy documentation.
Next comes the option of configuration over coding. At the Rural Health Clinic (RHC), an EHR that the local IT team can handle would be of more use than one that may require a specialist’s check or additional coding. An EHR, equipped with the ability to configure and customize as per the clinic’s workflow, will give more control to the RHCs and enable them to function efficiently.
Another significant point of an EHR in a Rural Health Clinic will be the inclusion of applications that support instant communication, like Telehealth and patient portals. These applications enable direct consultation and virtual care of patients and specialists located far off, thereby reducing the dependency of RHCs on city or urban-based facilities.
When we are discussing rural hospitals, we need to look for an application that is both affordable and functional, as rural areas mostly struggle with problems regarding budget and resources. Hence, keeping this in mind, RHCs should install a cloud-based EHR that does not require buying servers or employing IT staff.
RHCs must use an EHR application with innovative analytic tools to access and develop reports for quick patient care decisions. In addition, the system must be able to pull large chunks of data and generate reports daily.
Enjoyed reading this? Want to read more related articles? Click the link for more information!
https://healthcare.report/trending-news/electronic-health-records-ehr-software-market-2019-foreseen-to-grow-exponentially-by-2026
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