Health Technology, Digital Healthcare
Article | September 7, 2023
It’s no secret that the working world has changed these past few years, but employees have also undergone a lot of personal transformation due to these shifts. Struggles with health, home life, or personal issues can make it hard for them to work. Burnout is increasing worldwide, with 40% of desk-job workers feeling mentally distanced from work, depleted of energy, and increased negativity. Younger workers are already becoming drained by work life, which could spell trouble for future generations of employees.
Despite these challenges, the workplace is the best place to help staff improve their wellness, especially since they spend most of their time working or in the office. Wellness programs can be implemented to help employees feel rejuvenated and respected, which will boost their performance at work. Here are some examples of programs your workers might enjoy
Weight Management Programs
The idea of a weight management program at work may seem like something employees could be offended by, but it can help workers build healthy habits and assess their lifestyle to help them achieve better health. Employees can learn to manage their diet better, leading to weight loss and a lowered risk of certain health conditions.
These programs can also identify the need for medical weight loss strategies. For employees struggling with pre-obesity—a complex disease influenced by several factors often out of an individual’s control—personalized lifestyle changes and FDA-approved medications can be recommended. With chronic weight issues, doctors can prescribe medications that can help produce an average of 15% weight loss, especially when individual biology makes doing so harder. Employees can look for the help they need for wellness and weight loss, which can help them feel cared for by the company. When workers are at their peak physically, they can enjoy a healthier lifestyle and will be more efficient at work.
Quit Smoking Programs
Smoking is usually a means for employees to reduce stress, but it can greatly impact their personal and professional lives. Smokers tend to be more absent or disengaged at work than non-smokers. Presenteeism at work is also associated with heavy smoking. Employees coming to work despite health issues can lead to subpar performances. This can cost workplaces a lot of money in lost productivity, and workers will also suffer from health consequences.
Smoking cessation programs can help employees reduce their tobacco consumption and quit smoking for better health and productivity. These programs can include counseling, suggesting smoking cessation products or nicotine replacement therapy, or other initiatives tailored to individuals. Your staff may need more motivation when trying to quit, so having more support and a community to confide in can help.
Mental Health Programs
Mental health in the workplace was largely ignored for many years, as many saw it as a personal issue. However, work can contribute significantly to employees’ mental health problems or exacerbate mental illnesses like anxiety and depression. Improving these conditions is vital to improving many aspects of life for employees. Workers will better enjoy work and perform well when they know they’re being supported. Mental health is also paramount to sustainable development and plays a significant role in transforming the world as a whole. Treating and monitoring mental wellness should be prioritized at work and beyond.
Though companies may not have the means to properly diagnose or treat workers’ mental illnesses, mental health programs can help give employees and managers the education and resources to help improve mental wellness. Education and training on mental health can aid people in spotting issues and having them addressed or equip people with the ability to provide proper support or encouragement. These programs can also help the business take the initiative and offer other resources to improve mental health. That can be through mental health sick leaves, adding napping or gaming areas to the office, or offering mental health apps or counseling in benefits packages. When your staff is appreciated and taken care of, it’ll improve their overall well-being and life at work and home.
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Health Technology, Digital Healthcare
Article | July 14, 2023
As the cost of care continues to rise, many hospitals are looking for long-term solutions to minimize inpatient services. Learn how technology and health care delivery will merge to influence the future of hospital design and the patient experience across the globe in this report developed by Deloitte US.
Five use cases for the digital hospital of the future
The future of health care delivery may look quite different than the hospital of today. Rapidly evolving technologies, along with demographic and economic changes, are expected to alter hospitals worldwide. A growing number of inpatient health care services are already being pushed to home and outpatient ambulatory facilities. However, many complex andv very ill patients will continue to need acute inpatient services.
With aging infrastructure in some countries and increased demand for more beds in others, hospital executives and governments should consider rethinking how to optimize inpatient and outpatient settings and integrate digital technologies into traditional hospital services to truly create a health system without walls.
To learn what this future of health care delivery may look like, the Deloitte Center for Health Solutions conducted a crowdsourcing simulation with 33 experts from across the globe. Participants included health care CXOs, physician and nurse leaders, public policy leaders, technologists, and futurists. Their charge was to come up with specific use cases for the design of digital hospitals globally in 10 years (a period that can offer hospital leaders and boards time to prepare).
The crowdsourcing simulation developed use cases in five categories
Redefined care delivery
Emerging features including centralized digital centers to enable decision making (think: air traffic control for hospitals), continuous clinical monitoring, targeted treatments (such as 3D printing for surgeries), and the use of smaller, portable devices will help characterize acute-care hospitals.
Digital patient experience
Digital and artificial intelligence (AI) technologies can help enable on-demand interaction and seamless processes to improve patient experience.
Enhanced talent development
Robotic process automation (RPA) and AI can allow caregivers to spend more time providing care and less time documenting it.
Operational efficiencies through technology
Digital supply chains, automation, robotics, and next-generation interoperability can drive operations management and back-office efficiencies.
Healing and well-being designs
The well-being of patients and staff members—with an emphasis on the importance of environment and experience in healing—will likely be important in future hospital designs.
Many of these use-case concepts are already in play. And hospital executives should be planning how to integrate technology into newly-built facilities and retrofit it into older ones.
Technology will likely underlie most aspects of future hospital care. But care delivery—especially for complex patients and procedures—may still require hands-on human expertise.
Laying the foundation for the digital hospital of the future
Building a digital hospital of the future can require investments in people, technology, processes, and premises. Most of these investments will likely be upfront. In the short term, hospital leadership may not see immediate returns on these investments. In the longer term, however—as digital technologies improve care delivery, create operational efficiencies, and enhance patient and staff experience—the return result can be in higher quality care, improved operational efficiencies, and increased patient satisfaction.
These six core elements of an enterprise digital strategy can help you get started as you begin to push your hospital into the future
Create a culture for digital transformation
It is essential that senior management understands the importance of a digital future and drives support for its implementation at all organizational levels.
Consider technology that communicates
Digital implementation is complex. Connecting disparate applications, devices, and technologies—all highly interdependent—and making certain they talk to each other can be critical to a successful digital implementation.
Play the long game
Since digital technologies are ever evolving, flexibility and scalability during implementation can be critical. The planning team should confirm that project scope includes adding, modifying, or replacing technology at lower costs.
Focus on data
While the requirements of data interoperability, scalability, productivity, and flexibility are important, they should be built upon a solid foundation of capturing, storing, securing, and analyzing data.
Prepare for Talent 2.0
As hospitals invest in exponential technologies, they should provide employees ample opportunities to develop corresponding digital strategies.
Maintain cybersecurity
With the proliferation of digital technologies, cyber breaches can be a major threat to hospitals of the future. Executives should understand that cybersecurity is the other half of digital implementation and allocate resources appropriately.
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Health Technology
Article | September 12, 2023
Since ChatGPT’s launch in November 2022, artificial intelligence (AI) tools have become disruptive to nearly every industry. While there's been controversy about whether AI would benefit the healthcare industry, it has proven to be just as capable in healthcare as in other sectors.
In the medical field, there is reason to believe AI tools may be an even more reliable and useful resource than other sectors. Medical students have been panicking over AI's threat to their career prospects. But as these systems mature, the experts increasingly believe that AI may serve as a counterpart to human medical expertise rather than a threat.
How AI Tools Are Expected to Aid Medical Professionals?
Again and again, as the debate over modern AI tools rages on, we encounter the analogy of the calculator. No one feels threatened by calculators, not even professional mathematicians. Instead of throwing up their hands, math experts embrace the power of these now archaic computerized devices. If the experts are correct, this may be similar to the future of the alliance between AI and humans.
According to the designers and programmers who understand how these systems work as well as how information technology tends to progress, AI can be expected to help the medical profession in the following ways:
Cosmetic Surgery Consultations
One of the farthest-reaching applications we see develop is in consultations for plastic surgery and similar applications. Perhaps one of the easiest aspects to understand is hair-loss consultations. In our practice, we use a device known as HairMetrix, which uses an AI-driven analytical system to help determine what is causing a patient to lose their hair and which treatment options would be the most effective.
Because it is AI-driven, it is fully based on visual scans and is completely non-invasive. Just like this, AI can be used in an abundance of other ways to minimize the use of exploratory surgery and improve healthcare outcomes.
Improved Diagnostics
Artificial intelligence is already helping medical providers deliver diagnoses more quickly. These tools can identify anomalies that might otherwise take human hours or even weeks to identify. This has improved the rate of cancer detection, among other things, which will predictably improve survival rates.
Developing New Pharmaceuticals
The development of new medicines is notoriously slow. Not only is testing a painstaking process, but even seeking FDA approval can take years. AI is expected to help the development of pharmaceuticals through simulation on the molecular level, allowing researchers to see how the active mechanisms in a drug will work in the body.
Improved Administrative Efficiency
In the medical field, administrative tasks are notoriously slow. It is believed that generative AI will be able to automate many administrative functions and innumerable office chores. It could streamline sorting patient files, accelerate the interpretation of data, and much more.
Patient Access
In an area where information technology is already improving patients' lives, access to medical advice is still a bottleneck in the system. AI tools have the potential to slowly bridge the gap in health disparities. Combined with the power to diagnose, this could dramatically increase the capability of online patient portals.
Of course, this list of anticipated AI capabilities is far from exhaustive. Researchers and medical professionals have high hopes for these tools, and some are already proving to be more than mere speculation.
In a world where AI is reshaping industries at an unprecedented pace, the healthcare sector stands poised to benefit significantly from this technological revolution. From streamlining administrative tasks to revolutionizing diagnostics, the potential of AI in medicine is vast and diverse. As we witness AI-enabled tools like HairMetrix, enhancing the cosmetic surgery consultations and AI algorithms expediting diagnostic accuracy, it's clear that we are only at the beginning of a healthcare transformation that is set to improve patient care, increase survival rates, and revolutionize medical practices.
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Health Technology, Medical Devices
Article | April 17, 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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