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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Healthtech Security
Article | August 31, 2023
Workers in the healthcare industry are among the most burned out demographics following the COVID-19 pandemic. In fact, a report by Medscape on physician burnout and depression in 2022 calculated a five-percentage point increase in burnout overall, from 42% in 2020 to 47% in 2021. Critical care physician burnout was also found to increase from 44% to 51% last year, placing them at the top of Maryville University’s list of physician specialties with the highest cases of burnout. This is closely followed by rheumatology physician burnout, which was 50% in 2021. At the bottom of the list, emergency medicine physician burnout still came in close at a rate of 44%.
Burnout can result in, among other things, exhaustion and a loss of concentration, which can be dangerous in healthcare. With that, advancements in technology have been made to help mitigate stress and reduce the chances of burnout in healthcare.
Maximum Tasks, Minimum Efficiency
Reports show that many technological advancements in the healthcare industry actually aren’t appropriate for managing physician workloads. This is due to the range of tasks physicians need to perform, from creating treatment plans to managing EHRs. Our previous discussion on EHR-Generated Messages highlighted how the misapplication of this algorithm had actually led to these inboxes getting clogged. This has primary care physicians spending more than half their workday interacting with EHRs that only remind physicians to order certain tests, instead of dealing with critical messages from patients or colleagues. This has been counterproductive in terms of efficiency, leading to more burnout symptoms and the tendency to reduce clinical work hours. It is therefore important that technology integrations consistently consider the broader picture of the tasks of physicians.
Tech Developments for Reducing Burnout
Shifts in the industry have thus begun to focus on the quality of efficiency and physician assistance, rather than the quantity of technology available. Here are some notable examples of technology that has become finely integrated within the healthcare industry.
Ambient Technology in Clinical Documentation
Ambient computing streamlines the clinical documentation process by using artificial intelligence to respond to human behavior and needs. This provides front-end speech and computer-assisted documentation, reducing the time needed for physicians to work on admin tasks, and thereby minimizing burnout. Smart hospitals have started leveraging this through sensor-based solutions, and experts from Michigan University believe usage must be made easier and simpler to use for the provider if the healthcare industry is to further leverage ambient computing for CDI. As of 2021, adoption has only started to take off, especially in the revenue cycle.
Computer Modeling in Vaccine Development
The traditional process of designing novel vaccines usually lasts 10 to 15 years and can cost between $200 million and $500 million. However, a feature by News Medical highlights the recent development of COVID-19 vaccines, which uncovered the capabilities of computational modeling systems. This showed an ability to predict which parts of a pathogen may be recognized by the immune system’s B cells and T cells. This allows rapid identification of vaccine targets from a genetic sequence, which reduces the years required for preclinical research. Physicians are thus able to respond faster to vaccine developments, and reduce the overload of health systems during any future pandemics or epidemics in the long term.
Patient Placement Technology
The shortage of physicians is a common setback in the industry, one that staff at the Rice County District Hospital in Lyons, Kansas mitigated using patient placement technology. Patient placement technology coordinated care for patients inside the 25-bed, level 4 hospital, as well as those needing to be transferred to another facility. By integrating local EMS and other transport services with health systems, manual telephone calls were no longer necessary. Hence, physicians were able to quickly and effectively get patients the care they needed while managing time-critical diagnoses. This maximizes the limited resources available without stretching out the workforce. Physicians are able to focus solely on their patients, knowing that the time-consuming logistics are being efficiently handled by technology. The industry needs to continue to look into the practices of reducing burnout among physicians, more so as we continue to recover from the effects of the COVID-19 pandemic. By emphasizing physician wellness and efficient technology, we can continue to assure the health and productivity of healthcare workers into the future.
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Health Technology
Article | September 12, 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 | September 7, 2023
Unlock EHR interoperability solutions with this article. Discover how healthcare overcomes EHR interoperability challenges to facilitate seamless information sharing for better clinical decisions.
1. Exploring Hurdles in EHR Interoperability
2. Addressing EHR Interoperability Challenges: Mapping Effective Paths
2.1 Upgrading from Outdated Legacy Systems
2.2 Managing Inconsistent Information Across Multiple Sources
2.3 Overcoming Organizational Resistance to Sharing Data
2.4 Balancing Security and Consent
2.5 Harmonizing Data Standards Across Diverse Software Systems
2.6 Optimizing Training Resources for EHR Interoperability
2.7 Strategizing Costs for Specialist-driven Interoperability Management
2.8 Navigating Budget Constraints in EHR Interoperability
2.9 Unifying Patient Identification Standards Across HIEs
2.10 Advancing Allergy Management to Enhance Patient Care
3. Embracing Interoperability for a Connected Healthcare Future
1.Exploring Hurdles in EHR Interoperability
Despite significant efforts and investments in health information systems and technology, coupled with many years of widespread availability, the full benefits of electronic health records (EHRs) still need to be realized. The reality is that most physicians continue to rely on faxing and mailing patient records, just as they did a decade ago. Numerous government-certified EHR products are being used, each utilizing distinct clinical terminologies, technical specifications, and functional capabilities. These differences make it challenging to establish a unified standard interoperability format for data sharing. Interestingly, even EHR systems built on the same platform might not be interoperable, as they are frequently highly customized to an organization’s specific workflow and preferences. Given these circumstances, the article examines ten challenges and their corresponding EHR interoperability solutions to enhance patient care.
2.Addressing EHR Interoperability Challenges: Mapping Effective Paths
The primary goal of healthcare interoperability is to enable seamless sharing of health-related information between healthcare providers and patients, aiding in clinical decision-making. Here are several challenges to accomplishing this aim, along with their corresponding interoperability solutions:
2. 1 Upgrading from Outdated Legacy Systems
One of the significant challenges in achieving EHR interoperability is the need to transition from outdated legacy systems. Many healthcare facilities still rely on older, proprietary EHR systems that need more compatibility and standards to communicate seamlessly with modern, interconnected healthcare networks. These legacy systems often need more data exchange capabilities, leading to inefficiencies, data inconsistencies, and barriers to collaborative patient care. The intricate process of upgrading or replacing these systems while ensuring data integrity and continuity of care poses a considerable obstacle to achieving comprehensive EHR interoperability.
Healthcare institutions need to implement a strategic and phased approach to address this challenge. This involves assessing the existing EHR, identifying interoperability gaps, and selecting modern healthcare interoperability solutions that adhere to industry standards, such as Fast Healthcare Interoperability Resources (HL7 FHIR) and open APIs. A well-defined migration plan should be developed, including data migration, new system integration, and staff training. Collaboration with EHR vendors, IT experts, and clinical stakeholders is crucial to ensuring a smooth transition.
2.2 Managing Inconsistent Information Across Multiple Sources
As patients move through different healthcare settings and encounter various medical professionals, their health information becomes distributed across multiple sources, leading to discrepancies, duplications, and variations in data. This inconsistency can compromise patient safety, treatment accuracy, and healthcare quality. Furthermore, different institutions' varying data formats, coding systems, and documentation practices exacerbate the challenge of creating a unified and accurate patient record.
A potential solution to this challenge involves developing and adopting standardized data exchange protocols. By implementing common data standards and practices, healthcare providers can ensure that patient information is accurately represented and uniformly understood across different systems. In addition, robust data validation processes and reconciliation algorithms can help identify and rectify inconsistencies during data integration. Moreover, creating a centralized patient identity management system that links various patient records to a single, accurate identity can significantly mitigate the issue of duplicated or mismatched information.
2.3 Overcoming Organizational Resistance to Sharing Data
This EHR interoperability challenge pertains to the reluctance of healthcare institutions, clinics, and providers to readily exchange patient information and medical records due to concerns over data privacy, competitive advantage, and operational complexities. This resistance often leads to fragmented patient care, hindered medical research, and compromised clinical decision-making.
Addressing this challenge necessitates the establishment of clear data-sharing protocols, robust privacy safeguards, and incentivized collaboration. By fostering a culture of trust, emphasizing the collective benefits of data exchange, and implementing interoperability standards, the healthcare ecosystem can encourage reluctant organizations to actively share essential patient data, ultimately leading to improved patient outcomes and more efficient healthcare delivery.
2.4 Balancing Security and Consent
This challenge in EHR interoperability revolves around the delicate equilibrium between ensuring patient data security and privacy while enabling the seamless sharing of EHRs across different healthcare systems. Striking the right balance involves addressing concerns about unauthorized access, data breaches, and patient consent preferences. While robust security measures are necessary to safeguard sensitive health information, overly stringent restrictions can hinder the efficient exchange of vital medical data, potentially impeding timely and informed patient care, medical research, and healthcare system efficiency.
Potential EHR interoperability solutions to this challenge include implementing a layered security and consent management approach. This involves combining strong encryption, authentication protocols, and access controls to ensure the integrity and confidentiality of EHRs. Moreover, the adoption of standardized and granular consent mechanisms empowers patients to regulate both access to their data and the purposes for which it can be accessed. An integrated framework that employs advanced technologies like blockchain for secure audit trails and data-sharing logs can enhance transparency and accountability. Furthermore, patient education and awareness campaigns can empower individuals to make informed data-sharing decisions, fostering a collaborative environment where security, consent, and interoperability coexist harmoniously.
2.5 Harmonizing Data Standards Across Diverse Software Systems
This challenge encompasses integrating and exchanging medical data across various software platforms and applications used within the healthcare industry. To tackle this challenge, a comprehensive solution includes the widespread adoption and adherence to standardized data formats, coding conventions, and communication protocols by developers, healthcare organizations, and EHR integration software.
To address this challenge, a comprehensive solution involves the establishment of standardized data formats, coding conventions, and communication protocols widely adopted and adhered to by EHR software developers and healthcare organizations. This could be achieved through industry collaboration, government regulations, and incentives for adopting interoperability standards. Additionally, implementing APIs that translate and map data between different formats can help bridge the gap between diverse software systems.
2.6 Optimizing Training Resources for EHR Interoperability
This hurdle involves preparing healthcare professionals, IT staff, and other stakeholders to effectively navigate and implement interoperable EHR systems. Ensuring that healthcare personnel possess the necessary skills and knowledge to seamlessly integrate, maintain, and utilize interconnected EHR systems amidst rapidly evolving technology and standards poses a significant hurdle. This challenge involves understanding the intricacies of interoperability protocols and grasping the broader context of data security, patient privacy, and efficient data exchange among diverse healthcare entities.
To address this challenge, developing comprehensive and up-to-date training programs that cover both technical aspects (interoperability standards, APIs, and data formats) and practical considerations (security protocols, data governance) is crucial. Collaborations with vendors, industry experts, and academia can ensure the training content remains aligned and updated with current EHR trends. Integrating EHR interoperability education into medical and IT curricula can also lay a foundation for future professionals. Continuous learning opportunities, including EHR analytics courses, certifications, and knowledge-sharing platforms, can further bolster the continual development of skills and knowledge exchange. This process cultivates a skilled workforce capable of fully leveraging EHR interoperability while upholding the integrity and privacy of patient data.
2.7 Strategizing Costs for Specialist-driven Interoperability Management
This challenge pertains to the complex and costly task of ensuring seamless data exchange among diverse EHR systems, mainly when managed by specialists with domain-specific knowledge. These specialists play a crucial role in tailoring EHR interoperability solutions to the unique needs of their medical domains. Still, the financial implications of such endeavors can be substantial, involving customization, integration, and maintenance expenses.
Finding an effective solution requires a multi-faceted approach involving standardized interoperability frameworks, modular system design, strategic resource allocation, and collaborative partnerships among EHR vendors, healthcare institutions, and specialists. By optimizing the balance between customization and standardization and leveraging technological advances like APIs and cloud computing, healthcare ecosystems can mitigate costs while achieving efficient and secure data exchange that benefits patients and healthcare providers.
2.8 Navigating Budget Constraints in EHR Interoperability
This issue relates to healthcare organizations' significant financial limitations when striving to establish seamless EHR data exchange across disparate systems. As healthcare entities aim to enhance patient care coordination and data accessibility, the cost of implementing and maintaining interoperable EHR systems becomes a substantial hurdle. This challenge necessitates a delicate balance between allocating resources for EHR integration, customization, and ongoing maintenance while ensuring that patient data remains secure and accessible to authorized stakeholders.
A possible avenue to deal with the budget constraints in EHR interoperability is the strategic adoption of open-source frameworks. By leveraging open-source solutions, healthcare organizations can reduce licensing fees and development costs associated with proprietary systems, allowing them to allocate resources more efficiently. Additionally, collaborating with industry consortia and governmental initiatives that promote standardized data exchange protocols can foster economies of scale, streamlining the implementation process. Moreover, investing in cloud-based technologies can offer scalable and cost-effective data storage and sharing infrastructure.
2.9 Unifying Patient Identification Standards Across HIEs
The crux of this issue involves the need for consistent patient identification methods across different healthcare systems and data-sharing networks. This inconsistency results in errors, data duplication, and compromised patient safety as information is exchanged between entities. Without a standardized patient identification system, accurate matching of patient records becomes a complex endeavor, hindering the seamless exchange of EHRs and undermining the potential benefits of interoperability.
To address this challenge, a comprehensive solution involves establishing and adopting a universally recognized patient identification standard that spans all participating HIEs. This standard could include using unique patient identifiers or a combination of demographic, biometric, and cryptographic identifiers to ensure accurate and secure patient matching. Additionally, implementing advanced data governance practices, strong privacy protections, and robust data validation algorithms would enhance the accuracy and security of patient identification. Collaboration between healthcare organizations, government agencies, and technology experts is crucial to developing and implementing this standardized approach, fostering a more interconnected and effective healthcare ecosystem while safeguarding patient privacy and data integrity.
2.10 Advancing Allergy Management to Enhance Patient Care
Healthcare providers need help seamlessly sharing allergy-related patient data across different EHR platforms, hindering comprehensive patient care. This lack of interoperability leads to fragmented information, potential medication errors, and compromised treatment decisions, ultimately impacting patient safety and outcomes.
One viable solution for addressing this challenge is to establish standardized data exchange protocols alongside a unified health information exchange framework. Implementing FHIR standards can enable the consistent and secure sharing of allergy information among EHR systems. Additionally, incentivizing healthcare organizations to adopt these interoperability EHR standards and invest in compatible technologies will promote a cohesive ecosystem where allergy data can be accurately and swiftly exchanged. Collaborative efforts among EHR vendors, healthcare providers, and regulatory bodies are essential to ensure the seamless flow of allergy-related information, resulting in enhanced patient care, reduced medical errors, and improved healthcare efficiency.
3.Embracing Interoperability for a Connected Healthcare Future
With the goal of a cohesive healthcare future in mind, the value of embracing interoperability is immeasurable. This article highlights the essential role of interoperability in overcoming the challenges posed by fragmented data and improving patient outcomes. As healthcare systems continue to develop, the smooth exchange of EHRs becomes crucial, fostering collaboration among diverse stakeholders and facilitating well-informed decision-making. By creating an environment in which EHRs can seamlessly communicate, healthcare providers have the potential to offer more comprehensive, patient-centered care, minimize duplication, and expedite both diagnoses and treatments. Although achieving an interoperable healthcare ecosystem may involve complexity, the benefits of efficiency, precision, and overall quality of care underscore its necessity as a transformative journey.
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