Health Technology, Digital Healthcare
Article | September 8, 2023
It’s no secret now that healthcare is an in-demand field. Today, business leaders need modern and intelligent decision-making solutions for their customers and clients. They must also focus on the right investment areas and learn the tricks for investing, spending, and setting goals for revenue generation to accelerate business.
With continuous developments in the healthcare sector, integrating AI into processes can help increase ROI. Therefore, if you, like any other business leader, are looking for solutions to empower your services and products in the healthcare domain, this article will help you through AI’s ultimate use cases and churn out a higher ROI.
What’s with AI in Healthcare at Present?
AI’s role in healthcare is evolving and enhancing traditional business operations, particularly marketing. According to a study by IBM, 71% of customers expect real-time communication. Thus, global demand is fueling the rising adoption of AI marketing solutions.
The effects of AI in healthcare are evident. Gartner reports increased marketing efficiency and effectiveness (86%), improved decision-making (71%), better data analysis and new insights (79%). Global AI spending will rise from $450 million in 2019 to over $28 billion by 2024 is not surprising.
Similar and further studies are ongoing on various use cases of AI in healthcare at scale. What are the efficient use cases of AI that will help healthcare businesses boost their ROI? Let’s find out.
How is AI Applied in Healthcare?
The promising applications of AI in healthcare to improve outcomes are very intriguing. While there is still much to achieve in the AI-dependent healthcare business, there is sufficient potential that tech companies are willing to invest in AI-powered tools and solutions.
Let’s examine the potential examples of AI in healthcare to prepare and support business strategies accordingly and foster higher ROI generation.
Predictive Analytics
AI-based predictive analytics impacts a business by automating administrative tasks, predicting sales outcomes for a year, customers’ behavior and making strategies accordingly. According to a Forbes study, AI-based predictive analytics can save businesses $18 billion in tasks, expenses, and pricing.
To understand this, one example of using AI to automate admin tasks is a collaboration between the Cleveland Clinic and IBM. Cleveland Clinic uses IBM’s Watson to mine big data and provides personalized services for customers and clients on marketing deeds.
Some of the practical applications of AI and predictive analytics in healthcare are:
Monitoring market trends to maximize marketing efforts
Organizing datasets
Creating marketing campaigns tailored to each demographic-based client
Mining collective data for future decision-making
Fraud Prevention
AmerisourceBergen Corp detects fraud and misleading business operations through AI. A sales account team conducts audits with AI to detect usual lea and queries to prevent hefty expenses for businesses.
The example explains that implementing AI in your process will help detect any significant fraud attempts inside your business operation. This will help your business save huge expenditures.
Boost Sales
By putting down false leads, AI helps in maximizing sales numbers, resulting in significant ROI generation. For example, AI transforms data into personalized data, which reduces the cost of operations.
Chatbots
Most healthcare businesses leverage chatbots on their websites to engage more and more customers and boost engagement. In this way, businesses tend to gain multiple leads and convert them into clients by providing the best marketing solutions.
Chatbots are fruitful for AI start-ups in healthcare—small businesses can deploy AI to their websites. By doing so, they can save millions in administrative costs and attract numerous leads.
The most prominent examples of AI in healthcare hail from giant tech titans such as IBM, Amazon, and Microsoft. They are assisting healthcare providers with AI to create and deploy digital-human employees.
Segmentation of Marketing Targets
Is your target audience not responding to your marketing campaigns (for example, by not clicking a link, subscribing or unsubscribing to a newsletter, or not registering for a medical event)? If that's the case, how should you go ahead?
Using AI-based tools allows your marketing to easily identify target behaviors and reactions based on the type of marketing actions to be carried out. Analyzing these actions can help segment targets based on your company's marketing objectives.
The most significant development took place in April 2022, when Amazon Alexa became fully HIPAA compliant. It works with health developers and service providers that manage protected information for customers.
AI Leads to Data Modernization
It’s all about the data—not any data!
There’s a precise association between AI and data management, resulting in data modernization. According to a Cognizant research study, healthcare leaders have made significant progress in modernizing their data. In contrast, most upcoming businesses are expecting to do so by 2024.
The maximum acceleration of AI in modernizing data will be seen in the manufacturing and marketing of healthcare products and services, respectively. It is because AI helps to churn data easily. The accessibility of data, in particular, becomes simpler with automation than doing it manually, which generates a massive amount of data. Such effects of AI in healthcare can be one of the prime reasons for the higher ROI of your business in the future.
“There has never been a greater need for skilled analytic talent in health care. Because AI is becoming more strategic, organizations must ensure access to this skill set, either by growing their analytic teams or seeking out experienced partners."
Steve Griffiths, CEO of Optum Enterprise Analytics
AI Expenditure is on the Rise
McKinsey says that by 2025, the use of AI in healthcare will be widespread, resulting in significant expenditure by global healthcare leaders.
AI is a significant concern for healthcare decision-makers, investors, and innovators as customers extensively engage and react to AI-powered services and solutions. AI is constantly bringing improvements to almost all processes, including cost savings, management of services and products, and monitoring of multiple operations. Even small businesses in the healthcare industry are proactively investing in AI applications to match steps with the current wave of innovation in healthcare services.
Accelerate ROI Using AI
AI in healthcare is becoming one of the prime responsible technologies for accelerating ROI. Technology can eradicate multiple business growth challenges. Let’s find out how.
Enhanced Performance
As previously stated, use cases of AI in healthcare can relieve stress on employees. This would allow them to devote their time to more value-added marketing activities to churn more ROI.
Emphasize Cost-Effectiveness
Most of the businesses associated with healthcare are concerned about the costs involved. With AI, they now develop policies to spend less on non-essential activities and necessitate profit-oriented actions.
"We believe in the potential of AI to deliver insights and operational efficiencies that unlock better health-care performance."
Robert Musslewhite, CEO at OptumInsight
Frequently Asked Questions
How is AI used in healthcare?
AI in healthcare automates and predicts processes by analyzing data throughout. It is used to predict potential customers, improve business management workflows, and manufacture medical products.
How does AI drive growth in the healthcare industry?
AI drives business growth by improving the ability to understand better day-to-day customer patterns and needs based on services and products.
How is AI changing the Healthcare industry?
AI applications in healthcare have demonstrated their potential to improve analytics and data management and assist service providers in making timely medical decisions.
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Health Technology, AI
Article | July 18, 2023
Embracing the AI Revolution: Transforming Digital Healthcare Software through AI-Enhanced UX Testing
The wave of demographic change sweeping the United States presents an urgent call to action for healthcare providers. According to the US Census Bureau, adults over 65 will account for a quarter of the US population by 2060, signaling a drastic shift in healthcare delivery needs. More than half a million of this demographic will be centenarians, accentuating the need for digital experiences tailored to seniors' unique needs.
Despite the rapid advancement of digital health technologies, research indicates that many senior citizens struggle to adapt. A recent study reported that 40% of adults over 65 believe their telemedicine visit was inferior to traditional in-person care, with a meager 5% finding it superior. The promise of convenience delivered by digital health is often overshadowed by the frustration associated with technical difficulties. An astounding 75% of senior citizens admit they need assistance when using new electronic devices.
Let's consider the patient portal app, a common touchpoint in the digital health journey. Despite its apparent simplicity, seniors find processes like logging in troublesome due to issues like forgotten passwords, technical bugs, or content readability. This scenario underlines the crucial need for comprehensive User Experience (UX) testing to eliminate these barriers and provide a seamless digital health experience.
The Complex Landscape of Healthcare UX Testing
The complexity of UX testing in healthcare has been exacerbated by the interplay of multiple modules, services, platforms, and vendors. Take Electronic Medical Record (EMR) systems, for instance, which undergo frequent updates, each one potentially impacting the system as a whole. Traditional manual testing methodologies are proving to be time-consuming and costly.
Though automation has revolutionized sectors from automotive to finance, the healthcare industry appears to be lagging. A study by the Health Information and Management Systems Society (HIMSS) reveals that a mere 15% of healthcare providers have adopted modern test automation platforms. Meanwhile, a significant 41% still rely on manual testing. As EMR systems grow increasingly complex and customized, this over-reliance on manual testing poses daunting challenges.
The gravity of this issue is amplified by a startling revelation from the HIMSS study - only 6% of healthcare executive leaders express confidence in their organizations' testing practices. In an increasingly digitized healthcare environment, such a low level of assurance raises substantial concerns about patient safety. Although 75% of the surveyed providers have invested in software testing to safeguard their bottom lines, nearly two-thirds confess feeling inadequately resourced in terms of time, money, and talent to meet future testing requirements. As the list of testing demands grows, QA teams are frequently stretched thin, leaving many potential user journey scenarios untested.
The Power of AI in UX Testing for Better Patient Outcomes
AI technologies hold the potential to revolutionize UX testing in healthcare.
The modern healthcare application is a labyrinth of potential user journeys - a typical mobile application model can yield over 9 billion separate scenarios. To effectively navigate this colossal testing landscape, test automation tools employing Machine Learning (ML) algorithms are critical.
By analyzing historical patterns, prioritized cases, and real-user insights, ML algorithms can auto-generate test cases and meticulously scrutinize each user interaction. This approach ensures an optimal digital experience and robust coverage of potential issues.
The HIMSS study also provides a glimmer of hope, revealing that nearly 80% of healthcare providers plan to adopt real-time testing analytics for quality assurance. AI's role becomes pivotal in augmenting the capacity of software testing teams in this scenario.
By leveraging historical patterns and prioritizing test cases, ML-powered testing tools can automate crucial tests across various platforms, devices, and operating systems. This symbiosis of human expertise and AI not only bolsters productivity but enables comprehensive testing coverage within tight time constraints.
The Future of Healthcare Software UX Testing
The path to perfecting a patient’s digital journey is fraught with challenges.
Healthcare organizations venturing into automated software testing or contemplating in-house tool replacement must stay abreast of evolving healthcare testing requirements. This understanding is key when evaluating automation vendors against the backdrop of regulatory standards. Opting for a technology-agnostic solution ensures extensive test coverage, boosts efficiency, and guarantees longevity as technologies advance. Introducing your software QA teams to user-friendly, low/no-code test automation tools can simplify the onboarding process and fosters better collaboration with Dev teams and business testers.
As we stand at the precipice of this transformative period in healthcare, it's clear that the AI revolution holds the key to unlocking the future of digital healthcare UX testing. By harnessing AI's potential, healthcare providers can ensure a user-friendly, seamless digital experience for the fastest-growing demographic, setting new industry standards in the process.
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Healthtech Security
Article | August 31, 2023
The COVID-19 virus (C19) pandemic is turning out to be the event of the century. Even World War seems timid in comparison. We are in the 4th month of the virus (in non-China countries) and have gone past the lockdown in many places. Isn’t it time we re-think the approach? What if there is another wave of C19 coming soon? What if C19 is the first of many such events in the future?
Before we get into analysis and solution design, summarizing the C19 quirks:
While a large section of the affected population is asymptomatic, for some it can be lethal
There isn’t clarity on all the ways C19 spreads
It’s known to affect the lungs, heart, and kidneys in patients with weak immunity
It has been hard to identify a definitive pattern of the virus. Some observations in managing the C19 situation are:
With no vaccine in sight, the end of this epidemic looks months or years away
Health care personnel in hospitals need additional protection to treat patients
Lockdowns lead to severe economic hardship and its repeated application can be damaging
Quarantining people has an economic cost, especially in the weaker sections of society
If one takes a step back to re-think about this, we are primarily solving 2 problems:
Minimise deaths: Minimise the death of C19 and non-C19 patients in this period
Maximise economic growth: The GDP output/growth should equal or higher than pre-C19 levels
One needs to achieve the 2 goals in an environment of rising number of C19 cases.
Minimise deaths
An approach that can be applied to achieve this is:
Data driven health care capacity planning
Build a health repository of all the citizens with details like pre-existing diseases, comorbidity, health status, etc. The repository needs to be updated quarterly to account for patient data changes
This health repository data is combined with the C19 profile (disease susceptibility) and/or other seasonal diseases to determine the healthcare capacity (medicines, doctors, etc.) needed
The healthcare capacity deficit/excess needs to be analysed in categories (beds, equipment, medicine, personnel, etc.) and regions (city, state, etc.) and actions taken accordingly
Regular capacity management will ensure patients aren’t deprived of timely treatment. In addition, such planning helps in the equitable distribution of healthcare across regions and optimising health care costs. Healthcare sector is better prepared to scale-up/down their operations
Based on the analysis citizens can be informed about their probability of needing hospitalisation on contracting C19. Citizens with a higher health risk on C19 infection should be personally trained on prevention and tips to manage the disease on occurrence
The diagram below explains the process
Mechanism to increase hospital capacity without cost escalation
Due to the nature of C19, health personnel are prone to infection and their safety is a big issue. There is also a shortage of hospitable beds available. Even non-C19 patients aren’t getting the required treatment because health personnel seek it as a risk. This resulted in, healthcare costs going up and availability reducing.
To mitigate such issues, hospital layouts may need to be altered (as shown in the diagram below). The altered layout improves hospital capacity and availability of health care personnel. It also reduces the need for the arduous C19 protection procedures. Such procedures reduce the patient treatment capacity and puts a toll on hospital management.
Over a period, the number of recovered C19 persons are going to increase significantly. We need to start tapping into their services to reduce the burden on the system. The hospitals need to be divided into 3 zones. The hospital zoning illustration shown below explains how this could be done. In the diagram, patients are shown in green and health care personnel are in light red.
**Assumption: Infected and recovered C19 patients are immune to the disease. This is not clearly established
Better enforcement of social factors
The other reason for high number of infections in countries like India is a glaring disregard in following C19 rules in public places and the laxity in enforcement. Enforcement covers 2 parts, tracking incidents of violation and penalising the behaviour. Government should use modern mechanisms like crowd sourcing to track incidents and ride on the growing public fear to ensure penalty enforcement succeeds. The C19 pandemic has exposed governance limitations in not just following C19 rules, but also in other areas of public safety like road travel, sanitation, dietary habits, etc.
Maximise economic growth
The earlier lockdown has strained the economy. Adequate measures need to be taken to get the economy back on track. Some of the areas that need to be addressed are:
One needs to evaluate the development needs of the country in different categories like growth impetus factors (e.g. building roads, electricity capacity increase), social factors (e.g. waste water treatment plants, health care capacity), and environmental factors (e.g. solar energy generation, EV charging stations). Governments need to accelerate funding in such projects so that that large numbers of unemployed people are hired and trained. Besides giving an immediate boost to the ailing economy such projects have a future payback. The governments should not get bogged down by the huge fiscal deficit such measures can create. Such a mechanism to get money out in the economy is far than better measures like QE (Quantitative Easing) or free money transfer into people’s bank accounts
Certain items like smartphone, internet, masks, etc. have become critical (for work, education, critical government announcements). It’s essential to subsidise or reduce taxes so that these items are affordable and accessible to everyone without a financial impact
The government shouldn’t put too many C19 related controls on service offerings (e.g. shops, schools, restaurants, cabs). Putting many controls increases the cost of the service which neither the seller not buyer is willing or able to pay. Where controls are put, the Govt should bear the costs or reduce taxes or figure out a mechanism so that the cost can be absorbed.
An event like the C19 pandemic is a great opportunity to rationalise development imbalances in the country. Government funding should be channelized more to under-developed regions. This drives growth in regions that need it most. It also prevents excess migration that has resulted in uncontrolled and bad urbanisation that has made C19 management hard (guidelines like social distance are impossible to follow)
Post-C19 lockdown, the business environment (need for sanitizers, masks, home furniture) has changed. To make people employable in new flourishing businesses there could be a need to re-skill people. Such an initiative can be taken up by the public/private sector
The number of C19 infected asymptomatic patients is going to keep increasing. Building an economy around them (existing, recovered C19 patients) may not be a far-fetched idea. E.g. jobs for C19 infected daily wage earners, C19 infected taxi drivers to transport C19 patients, etc.
In the last 100 years, mankind has conquered the destructive aspects of many a disease and natural mishap (hurricanes, floods, etc.). Human lives lost in such events has dramatically dropped over the years and our preparedness has never been this good. Nature seems to have caught up with mankind’s big strides in science and technology. C19 has been hard to reign in with no breakthrough yet. The C19 pandemic is here to stay for the near future. The more we accept this reality and change ourselves to live with it amidst us, the faster we can return to a new normal. A quote from Edward Jenner (inventor of Small Pox) seems apt in the situation – “The deviation of man from the state in which he was originally placed by nature seems to have proved to him a prolific source of diseases”.
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Digital Healthcare
Article | July 7, 2023
Stay at the forefront of the digital healthcare revolution by mastering EHR analytics. Discover the top EHR certifications that provide comprehensive training and industry-recognized credentials.
As healthcare organizations increasingly embrace digital solutions, the demand for skilled professionals well-versed in EHR analytics continues to soar. Numerous certifications and courses have emerged to meet this demand, offering comprehensive training and industry-recognized credentials.
This article delves into the top EHR certifications and courses, exploring their unique features, advantages, and opportunities for professional growth and advancement.
1. Certified Electronic Health Records Specialist
By pursuing this course, participants will gain knowledge and practical skills in EHR, medical billing & coding, anatomy & physiology, medical terminology, medical law and ethics, and health insurance in the United States. This electronic health record specialist certification includes hands-on exercises using specialized software to create patient records, generate lab reports, and take notes & codes. Furthermore, it emphasizes the legal aspects of patient confidentiality and the responsible disclosure of medical records, ensuring a solid understanding of privacy regulations and ethical obligations within the healthcare industry.
2. Deep learning in Electronic Health Records - CDSS 2
The course provides a comprehensive overview of the fundamental principles of electronic health records (EHR) while also addressing the challenges of applying time-series classification methods to EHR data, such as missing values and variable heterogeneity. Professionals will learn various imputation techniques and encoding strategies to handle these challenges effectively. Upon completion of the course, University of Glasgow awards a certificate. Additionally, this electronic health records certification explores the role of clinical decision support systems (CDSS) in analyzing data to aid healthcare providers in making informed decisions and improving patient care.
3. Introduction to Electronic Health Records
The course aims to provide an introduction to the field of digital health, covering essential concepts and definitions in this emerging area. It encompasses various vital topics, including Learning Health Systems, EHR, and a wide range of digital health technologies such as mobile applications, wearable devices, health information systems, telehealth, telemedicine, ML, AI, and big data. The EHR analytics course evaluates these technologies by examining the opportunities and challenges they present and the evidence of their effectiveness in the context of digital health, both globally and within public health and healthcare domains. This electronic health record certification includes a case study on using digital health technologies to address various aspects of the global response to COVID-19.
4. Interprofessional Healthcare Informatics
This course is offered jointly by the University of Minnesota and its National Center for Interprofessional Practice and Education. It provides a hands-on and interactive exploration of fundamental informatics tools and techniques, incorporating technology-enabled educational innovations to enhance the learning experience. The ten modules in the course will help participants create an online learning community and a functioning healthcare informatics network. The EHR analytics course covers multiple topics, such as emerging technologies, telehealth, gaming, simulations, and eScience. It aims to collectively imagine and shape the future of healthcare informatics within the rapidly evolving landscape. The course welcomes healthcare professionals and IT enthusiasts, encouraging a diverse and interdisciplinary approach to learning.
5. Certified Electronic Health Records Specialist
The Certified Electronic Health Records Specialist (CEHRS) course is a fully-online program designed to train individuals to become certified specialists in electronic health records. It equips participants with the necessary skills to navigate EHR systems and pass the CEHR certification exam. In this EHR certification program, professionals will learn essential tasks such as auditing patient records for compliance, extracting clinical information, coding for reimbursement claims, processing medical record requests, reviewing documents for accuracy, collecting patient data, and facilitating communication with healthcare professionals and insurance providers. The course focuses on hands-on experience with actual EHR software, provides an overview of EHR systems, emphasizes compliance with HIPAA regulations, explores various medical record components, and trains students to track vital patient information and report public health data effectively.
6. Electronic Healthcare Records Basics, Plain & Simple
This EHR analytics course emphasizes the critical role EHRs play in improving healthcare services. The course holds immense importance as it delves into topics such as the comparison between digital and paper patient records, definitions of EMR, EHR, and PHR, the necessity for a unified view of records, the critical components of EHR systems, perspectives from both patients and clinicians, technology-related challenges, the concept of meaningful use, and the impact of the 21st Century Cures Act in facilitating advancements in healthcare. By undertaking this course, participants will acquire comprehensive knowledge as well as an understanding of EHR systems and their potential for revolutionizing healthcare delivery.
7. Records and Health Information Management
This comprehensive EHR training certification program has been designed for professionals looking to advance their careers or seeking to stay up-to-date in the medical field and prepare for industry-standard certification exams. The course covers essential skills such as processing patient admission and discharge documents, accurately recording and maintaining information in the electronic medical record (EMR), understanding third-party reimbursement terminology and concepts, and utilizing computer hardware as well as software to enter and process data using medical record software. Learners can get an excellent opportunity to gain comprehensive insights into electronic health records and enhance career prospects in the healthcare industry.
Closing Lines
The EHR analytics certifications discussed in this article offer healthcare professionals invaluable opportunities for long-term success and growth in the evolving realm of healthcare informatics. By acquiring the necessary skills and knowledge through these programs, professionals can enhance their proficiency in managing and utilizing EHR systems, positioning themselves as highly sought-after assets within the healthcare industry.
The comprehensive EHR certification training provided by these certifications and courses not only equips individuals with the technical know-how but also grants them industry-recognized credentials that validate their expertise. This recognition opens doors to diverse career pathways, including positions in healthcare organizations, consulting firms, research institutions, and governmental agencies. Moreover, staying abreast of the latest developments in EHR systems through continuous education ensures professionals remain at the forefront of technological advancements, enabling them to adapt and thrive in a fast-paced digital healthcare landscape.
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