Health Technology, AI
Article | July 18, 2023
The recent COVID-19 pandemic in 2020 has changed the way the healthcare industry has been processing. It has transformed the healthcare sector digitally. Healthcare providers have changed services with the latest healthcare technology trends in digital and virtual platforms. Every healthcare provider is updating services by adopting digital advancements in their practices to increase their capacity to engage the maximum number of patients. Still more advancements and updates are needed to address many challenges in the industry such as cybersecurity, effective payment model, telehealth, patient experience, invoicing and payment processing, and big data.
Last year, wearable devices in the healthcare industry were quite popular with the patients. These devices have helped patients be aware of various healthcare metrics. Due to the introduction of the 5G internet, the wearable devices market is expected to have huge scope in 2021. Healthcare technology trends, such as the use of a digital dashboard scheduler or chatbots as a digital assistant, help hospitals and other healthcare organizations to better track appointments, contacts, demography, and make changes more efficiently as these are practical measures for modifying and monitoring patient activities.
Telemedicine, using video conferencing, digital monitoring, etc. have also been very helpful in containing the spread of the pandemic. It has made healthcare accessible for everyone, especially in rural areas. For remote patient care systems, telehealth and teleradiology reporting are very important technological upgrades. Healthcare technology trends of 2020, including patient portals, mobile health applications, remote care via telehealth, and wearable devices, played a major role in tackling the global pandemic situation. Artificial intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) also played a vital part in handling the situation. All the above-mentioned are COVID-19 fueled healthcare technology trends in 2020, which are expected to continue in coming years too.
Here is a detailed look into the healthcare technology trends, which are expected to address the new challenges and revolutionize the healthcare industry in 2021.
Technology Trends that will Revolutionize the Medical Industry in 2021
The digital transformation of the healthcare industry has been fast-forwarded by COVID-19 in 2020. Recognizing the healthcare technology trends, many healthcare providers have readily shifted their operations to the latest trending technologies. Others are also looking forward to setting their operations according to the upcoming trends.
It seems like almost all the healthcare providers genuinely wanted to transform their operating system to engage the maximum number of patients, due to the healthcare technology trends set after the hardest crisis in the healthcare industry virtual reality healthcare. So, before planning your healthcare strategy for 2021, don’t miss to include these healthcare technology trends of 2021 to achieve better healthcare outcomes and stand one step ahead of your competitors.
Patient Engagement Technology
One of the most competitive healthcare technology trends in 2021 will be patient engagement technology. There are countless technologies available in the market for patient engagement, evaluation, and campaigning. Due to high competition in the market, these tools are priced competitively.
Many healthcare organizations have started empowering themselves by achieving consistency in patient engagement with the help of available tools in the market. This also helps them achieve increased ROI. The healthcare technology trends, including remote care via telehealth, patient portals, wearable devices, mobile health applications, and many more, empower patients and increase patient engagement.
Hospitals and other healthcare organizations need to improve patient experience along with engagement. The entire road to patient satisfaction and experience can be changed with these healthcare technology trends in 2021.
Telemedicine
As telemedicine revolutionized the entire healthcare technology in 2020 by playing a vital role in containing the COVID-19 pandemic, it is expected to be one of the healthcare technology trends in 2021 too.
Using the advancement, it possible for healthcare professionals to diagnose and treat any number of patients remotely through phone calls, mobile apps, emails, and even through video calls. Telemedicine can provide patients with better access to all healthcare services, drive up efficiency and revenue, and lower healthcare costs.
Augmented Reality (AR) and Virtual Reality (VR)
The arrival of both AR and VR solutions has made way to witness meaningful advancements in the healthcare industry and technology. Advancements that could only be dreamt of a decade back, have become realities and been implemented. These two healthcare technology trends offer some serious promise to the world of healthcare, including educating patients before a treatment procedure.
AR offers one of the latest and most spontaneous options in the healthcare industry. AR allows doctors and surgeons to experience 3D effects on real-world scenes. This healthcare technology trend permits the professionals to stay grounded on actual procedures with access to all the data through various other emerging technologies. This makes doctors compare data, in the virtual world, to understand what the patient is experiencing and make a flawless diagnosis and suggest healthcare procedures.
Chatbots
It is either impossible or expensive for patients to get answers from specialists for their routine queries. But, chatbots make it easier and comfortable for healthcare service providers to answer questions of patients cost-effectively. Though chatbots are currently in the experimental phase to be used in healthcare solutions, they are most likely to have the necessary access to clinical scenarios by the beginning of 2021. It is expected to be one of the progressive healthcare technology trends in 2021.
As a digital assistant, chatbots allow healthcare providers to keep a track of contacts and appointments and make changes, when necessary. Chatbots are going to revolutionize the clinical processes and business, providing practical as well as clear measures for modifying and monitoring patient activities.
Big Data and 5G
5G is about to sweep the world in the coming months. With the extraordinary intensification in transmission bandwidth of 5G, users will construct a huge amount of data. With 5G, the Internet of Things (IoT) will be used largely to send and receive data. In the next three years, the global wearables market is expected to reach an annual turnover of US$52 billion. This can be attributed to the introduction of 5G wireless technology, one of the healthcare technology trends.
Healthcare providers will have the access to a huge amount of accurate data when data from wearable devices and other initiatives are added together. This is going to change the way providers collect data and the way doctors and patients communicate.
Thus, while you plan to upgrade your healthcare technology for 2021, don’t forget that you will be receiving a huge amount of data from patients, which can be attributed to one of the important healthcare technology trends of 2021, big data and 5G.
Artificial Intelligence
Artificial Intelligence (AI), one of the prominent healthcare technology trends of 2021, is developed to mimic human thought processes. GNS Healthcare AI system and IBM Watson are some of the most popular examples for the active use of AI in the healthcare process. This trend is going to rule healthcare processes and revolutionize medical care in 2021.
To improve healthcare professionals’ and hospitals’ care delivery to patients, Google’s DeepMind has built mobile apps and AI. The AI healthcare market is expected to reach US$7988.8 million in 2022 from US$667.1 million in 2016. This healthcare technology trend is expected to take the healthcare industry to a new realm by increasing patient engagement and experience in 2021.
Cloud Computing
Cloud computing is one of the major healthcare technology trends in 2021 that is going to change the industry. Attributed to the recent development of various healthcare technology trends, the cloud computing market is expected to reach US$35 billion in 2022 from US$20.2 billion in 2017.
This tremendous growth is attributed to the need of storing a high volume of data for healthcare organizations at a lower cost. In the healthcare domain, the main use of big data is in Electronic Health Record systems (EHR). It allows secure storage of various digital documentation such as demographics, medical history, diagnoses, and laboratory results. Cloud computing, an important healthcare technology trend, is expected to make the healthcare process smooth and flawless in 2021.
The biggest trend of 2021 in the healthcare industry is the holistic technological transformation of healthcare firms. Whether AI, ML, RPA, telemedicine, big data, chatbots, or cloud computing, almost everything related to data management and monitoring will peak in 2021. These healthcare technology trends will rule healthcare in 2021. Moreover, targeted and personalized care for critical diseases is expected to be another trend in the coming years.
Frequently Asked Questions
What are the technology trends in healthcare?
Trending healthcare technologies are AI, ML, RPA, cloud computing, big data, chatbots, telemedicine, etc. AI, the life-changing technology is going to completely transform the healthcare industry in the coming years starting from 2021.
What are the most important trends in healthcare technology?
Augmented and virtual reality, Artificial Intelligence, the Internet of Medical Things, Machine Learning, chatbots, cloud computing, telemedicine, etc. are the most important technology trends in the healthcare industry.
What are the current technological trends in healthcare?
Artificial Intelligence (AI) and Machine Learning (ML), Internet of Medical Things (IoMT), Augmented Reality (AR) and Virtual Reality (VR), Electronic Health Records (EHR), Blockchain and data security, health-tracking apps, therapeutic apps, and telehealth are the major current technological trends in the healthcare industry.
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Health Technology, Digital Healthcare
Article | August 16, 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, Digital Healthcare
Article | August 21, 2023
“Health care is different, the data here is emotional! If you tell me you were buying a fishing rod online and were emotional about it, I’d say you are lying. But I do frequently see people helpless and confused when it comes to receiving health care, managing its costs, making sense of its data.”
- Senior Product Leader inOptum Global Solutions Pvt. Ltd.
Yes, health care is different, and so is product management in it. This piece highlights the top 4 product management trends that are specific to health care and serve beyond being just a list of technologies making their way into health care.
Health care consumerism
Lance broke his ankle in a bicycle accident and is now in hospital waiting for surgery. Which of these words would describe him more aptly— a ‘patient’ or a ‘health care consumer’? The fact that Lance holds a high-deductible health plan, manages an interactive relationship with his primary doctor, keenly monitors his fitness through his smartwatch, and learns about healthier diet plans and recipes online — I can say he isn’t just receiving health care, but making active choices on how to pay for and manage his health. This choice and responsibility that people demand, is ‘health care consumerism’. This trend has been growing since 2015 when value-based care started picking up in the US.
What does this imply for products/PMs?
These are challenging and exciting times to be a product manager (PM) in health tech. This is because people are now demanding an experience equivalent to what they’re used to from other products in their lives, such as e-commerce, streaming platforms, and digital payments, to name a few. Any consumer-facing product (a mobile app, a web-based patient portal, a tech-enabled service) needs to meet high expectations. Flexible employer-sponsored health plans options, health reimbursement arrangements, price transparency products for drugs and medical expenses, remote health care services, and government's push to strengthen data and privacy rights — all point to opportunities for building innovative products with ‘health care consumerism’ as a key product philosophy.
Wellness
COVID-19 has tested health care systems to their limits. In most countries, these systems failed disastrously in providing adequate, timely medical assistance to many infected people. Prevention is of course better than cure, but people were now forced to learn it the hard way when cure became both inaccessible and uncertain. With lockdowns and social isolation, prevention, fitness, diet, and mental wellbeing all took center stage.
Wellness means taking a ‘whole-person approach’ to health care — one where people recognize the need to improve and sustain health, not only when they are unwell, but also when they’re making health care decisions that concern their long-term physical and mental health. A McKinsey study notes that consumers look at wellness from 6 dimensions beyond sick-care— health, fitness, nutrition, appearance, sleep, and mindfulness. Most countries in the study show that wellness has gained priority by at least 35% in the last 2–3 years. And wellness services like nutritionists, care managers, fitness training, psychotherapy consultants contribute 30% of the overall wellness spend.
So, what do health-tech PMs need to remember about wellness?
The first principle is, “Move to care out of the hospital, and into people’s homes”. A patient discharged after knee surgery has high chance of getting readmitted if he/she has high risk of falling in his/her house, or is unable to afford post-discharge at-home care with a physiotherapist. This leads us PMs to build products that recognize every person’s social determinants of health and create support systems that consider care at the hospital and care at home as a continuum.
The second principle is, “Don’t be limited by a narrow view of ‘what business we are in’, as wellness is broad, and as a health tech company, we are in health-care, not sick-care”. Wellness products and services include — fitness and nutrition apps, medical devices, telemedicine, sleep trackers, wellness-oriented apparel, beauty products, and meditation-oriented offerings, to name just a few. Recent regulations in many countries require health care providers to treat behavioural health services at par with treating for physical conditions, and this is just a start.
Equitable AI
Last month, WHO released a report titled “Ethics and Governance of Artificial Intelligence for Health”. The report cautions researchers and health tech companies to never design AI algorithms with a single population in mind. One example I read was, “AI systems that are primarily trained on data collected from patients in high-income settings will not perform as effectively for individuals in low or middle-income communities.” During COVID-19, we came across countless studies that talked about the disproportionate impact on minorities in terms of infections, hospitalizations, and mortality. A student at MIT discovered that a popular out-of-the-box AI algorithm that projects patient mortality for those admitted in hospitals, makes significantly different predictions based on race — and this may have adversely moved hospital resources away from some patients who had higher risks of mortality.
How should I think about health equity as an AI health-tech PM?
Health equity means that everyone should have a fair chance at being healthy. As a PM, it’s my job to make sure that every AI-assisted feature in my product is crafted to be re-iterative and inclusive, to serve any community or subpopulation, and is validated across many geographies. To prevent any inequitable AI from getting shipped, it is important to ensure that the underlying AI model is transparent and intelligible. This means knowing what data goes into it, how it learns, which features does it weigh over others, and how does the model handles unique features that characterize minorities.
Integrated and interoperable
In every article that I read on topics such as digital platforms, SaaS, or connectivity with EMRs, I always find the words: ‘integrated’ and ‘interoperable’ therein. Most large and conventional health tech companies started by offering point-solutions that were often inextensible, monolithic, and worked with isolated on-prem servers and databases. To give a consistent user experience, leverage economies of scope, and scale products to meet other needs of their customers, started an exodus from fragmented point-solutions to interoperable, integrated solutions. The popularization of service-oriented architectures (SOAs) and cloud vendors like AWS, Azure, and GCP has also helped.
The what and how of integrated-interoperable solutions for PMs:
Integrated solutions (IS), as I see them, are of two kinds — one, in which as a health tech company, we help our customers (health systems, insurance companies, direct to consumers) accomplish not just one, but most/all tasks in a business process. For example, a B2B IS in value-based care contract management would mean that we help our customers and health systems by giving an end-to-end solution that helps them enter into, negotiate, plan for, manage, get payments for their value-based contracts with health plans.
In the second type of IS, we offer products that can be easily customized to different types of customers. For example, a health management app that people can subscribe to for different programs such as obesity, diabetes, hypertension, cholesterol management, as needed. The app works with different datasets for these programs and uses different analyses and clinical repositories in its backend, but still delivers a consistent user experience across programs to a user who enrolled in multiple programs, say diabetes and weight management.
‘Interoperable’ simply means that one product should be able to talk to other products both in and out of the company. For example, if product-A can alert a doctor about any drug-drug interactions or allergies a patient might have, while she is writing prescriptions for the patient in product-B (an EMR), then product-A does talk to product-B, and hence, is interoperable. This trend is picking up further with the growth of IoT devices, and industry-wide participation in adopting common standards for data exchange.
Conclusion
Though the article derives much of its context from US health care, I have tried to keep a global lens while choosing these topics. For developing economies like India, digitization is the number one trend as much of the health system is still moving from manual records to digitally store patient and medical data in EMRs. The good news is that India is booming with health-tech innovation and that is where consumerism, wellness, and equitable AI make sense. Once companies develop enough point-solutions for different health system needs and use-cases, Indian health tech will see a move towards creating integrated, interoperable (IGIO) systems as well.
There are some other trends such as — use of non-AI emerging tech such as Blockchain in health information management, cloud infrastructure for health tech innovation, big data and analytics to improve operational efficiency in areas such as claims management and compliance reporting, Agile product management for co-developing with and continuously delivering to clients etc.��— but I see them either as too nascent, or too old to feature in this list.
Finally, as a health tech product manager, you can use the following questions to assess your products against the above trends — (Consumerism) do the products that I manage, empower consumers with choice, information, and actionability? (Wellness) Does my product emphasize keeping them out-of-hospitals and healthy in the first place? (Equitable AI) Am I sure that my product doesn’t discriminate against individuals belonging to underserved populations? (IGIO) And finally, is my product scalable, integrated and interoperable to expand to a platform, in the true sense?
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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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