Health Technology, Digital Healthcare
Article | August 16, 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
Article | September 12, 2023
Affordable healthcare is the need of the hour and interoperability is the means to that end. The healthcare ecosystem is looking into ways they can enable this affordability as soon as possible, and that is where FHIR comes in. FHR promises an on-demand exchange of secure healthcare information. It has become an increasingly popular protocol, thanks to its commitment to ensuring interoperability in the app economy, via apps.
The privilege enjoyed by consumers and participants in most industries is the ease of accessibility of information. With most of it being on the cloud, a URL ensures access to the same information regardless of where it is being accessed from or which internet enable device. This is the privilege FHIR aims to introduce in healthcare, over the current document-based approach where forms are either faxed, emailed, or electronically exchanged.
FHIR is for
Building new healthcare apps
Develop cloud-based health apps that integrate with social networks
Providing a simple to use standards-based API for cloud-based health integration services
The government looking to implement a national EHR
FHIR Aims to Reduce Cost
The medical expenses of an average American in a year are north of $12k and rising. The reasons are the unnecessary complications in the healthcare IT infrastructure. With FHIR, HL7 aims to reduce the burden on providers in sharing and accessing healthcare data at the point of care, thereby reducing the administrative expenses spent on moving data back and forth. It also promises to grant on-demand access to patients – enabling them to make better-informed healthcare decisions.
What is part of FHIR?
Pre-defined Resources and API
A common way to represent data as building blocks and rules for connecting them
Target support for common scenarios
Implementer Friendly
Familiar tooling and technologies using web standards
Multiple Libraries available for faster implementations
Mobile Friendly
Concise and easily understood specifications, RESTful API and JSON
Leverages cross-industry web technologies
Multi-paradigm
Thick client, browser, or mobile devices
Supports human readability as the base level of interoperability
Large Community for Support
Heaps of open-source software and training events, webinars, and connectathons
Specification feedback welcomed, including update requests-tracker
Out-of-the-box Interoperability
Base resources can be used as it is, can also be adapted for local requirements
Seamless exchange of information using messages or document
Start The FHIR
Health plans are jumping on the FHIR bandwagon faster than ever thanks to the Interoperability and Patient Access rule as well as the latest proposals. Do not get left behind or sustain the ramifications of non-compliance with CMS regulations.
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Digital Healthcare
Article | November 29, 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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Healthtech Security
Article | November 29, 2023
NIS2 Cybersecurity Rules Approaching: Is Your Organization Prepared? The EU NIS cybersecurity regulations are evolving for 2024, and if you’re not currently aware of how they’ll apply to your organization, now is the time to get up to speed with the desired requirements. Not only is the directive being tightened, but an extended range of healthcare and related organizations will be added to the list of ‘critical entities’ that must comply. These include certain medical device manufacturers, pharmaceutical companies, and organizations that carry out R&D. The Network and Information Systems (NIS) standards were set up in 2016 to protect essential services – such as water, energy, healthcare, transport, and digital infrastructure – from online cyberattacks. The updated legislation, NIS2, will have stricter rules,reporting requirements, and higher penalties for non-compliance. They will apply to medium-sized and large businesses that operate within one or more EU countries. Those based only in the UK can’t sit back; however, the original NIS regulations will still apply as part of British law. What’s more, a UK version of the rules is coming very soon, and it’s likely that the framework will closely resemble the EU’s. What will the requirements cover? There are a number of cyber risk management measures that all organizations that come under the scope of NIS2 will be required to put in place. For instance, they will need to conduct regular security assessments and risk analyses, adopt incident response and handling plans, and appoint a chief information security officer (CISO), among other obligations. The new directive will streamline and strengthen incident reporting requirements. Entities must notify regulators of any incident that has compromised data or had a significant impact on the provision of their services, such as causing severe operational disruption or financial loss. Applying information system security policies and business continuity plans will form part of the obligations, as will conducting cybersecurity testing and training for all staff. The use of multi-factor authentication (MFA) and encryption, wherever appropriate, will also be mandated. There is plenty of focus within the directive on the cornerstones of cybersecurity best practices particularly, the proper control of administrator-level account credentials, privileged access, and endpoints, all of which are prime targets for attackers. Under NIS2, organizations are being separated into ‘critical’ and ‘important’ entities. It’s important to determine which category yours’ will fall under, as each has different requirements. The third-party threat will also be addressed in NIS2 by pulling in managed service providers (MSPs) to the list of ‘critical entities’, with the aim of keeping digital supply chains secure. MSPs are often granted privileged access to clients’ corporate systems and networks, which creates security risks. What are the consequences of non-compliance? Organizations that come under the regulations’ purview will be subject to random checks, regular security audits, on-site inspections, and off-site supervision. For those found to be in breach, sanctions could include warnings, temporary suspension of certain activities, and temporary prohibition to exercise certain managerial functions. Financial penalties could be as high as 10 million Euros or 2% of an organization’s global turnover, whichever is higher. What steps should healthcare organizations take now? Organizations should take action to establish whether the EU or UK NIS2 regulations will apply to them and what their responsibilities will be. Having identified any gaps in existing cybersecurity processes, policies, and practices, they must determine what changes need to be made to address them. As a priority, they must review their incident response plans and incident management and reporting procedures. It’s also a good idea to begin assessing the security posture of partners and third parties in the supply chain and incorporating relevant security requirements into contracts. Given the framework’s focus on protecting privileged admin accounts, organizations should implement controls limiting the number of staff members with these robust credentials. Implementing privileged access management (PAM) will allow IT to control who is granted access to which systems, applications, and services, for how long, and what they can do while using them. Preparing for the introduction of the EU NIS2 regulations should be considered more than just a compliance exercise. By meeting the strengthened requirements, healthcare organizations will be building a foundation of resilience that protects them, their customers, and the essential services they provide.
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