Health Technology, Digital Healthcare
Article | July 14, 2023
Your patients have grown to trust your expertise and recommendations in matters regarding their healthcare. As the sector transitions into a more digital playing field, uninterrupted network connectivity is more than just a bonus; it’s a necessity.
While there are many different challenges to completely integrating your practice into the digital world, internet outages are the costliest. Downtime can be caused by various factors, which can compromise patient safety, the faith your team instills in you, and your practice’s reputation and revenue. However, investing in the means to maintain a resilient network lets you maximize your network uptime to optimize resources.
We'll look at four different strategies and their benefits for your infrastructure so you can focus on what you do best: providing healthcare excellence to your patients.
Strengthening Network Infrastructure
The traditional way of doing things may be great for your remedies and techniques. Still, with a growing number of patients and their contextually relevant demands, your network needs to be able to accommodate many different booking requests, increase user activity on your server, and store sensitive patient information.
High-speed internet connections enhance your network performance and let you, your team, and your patients make the most of your uninterrupted uptime. Fiber-optic networks, when combined with load balancing and proper segmentation, can diffuse and direct network traffic efficiency and prevent congestion, which prevents downtime due to overload.
Implementing Network Monitoring and Management Tools
Much like your patients visit your practice to ensure everything is all right with the current state of their health, your network must also receive the same treatment. Identifying and pre-emptively resolving potential issues and vulnerabilities will prevent much more destructive or expensive problems from occurring.
Use real-time tools to monitor your bandwidth usage and gain visibility of potential bottlenecks. Tools that offer risk monitoring deliver alerts about critical events that pose a threat to your business continuity. Your IT team will be better equipped to troubleshoot issues promptly and optimize performance.
Conducting Regular Network Assessments and Audits
Once you have the proper monitoring tools to manage your network topology better, proactive troubleshooting is a great way to spot-check whether your current solution is working as it should. A network audit is much like proactive troubleshooting; you are looking to see if anything could harm the overall system and catch it before it can develop.
When auditing a network, the primary focus should be security measures. If patient and confidential data is not secure, the smooth operations of your business are the least of your worries. When conducting an audit, consulting with a network service provider will help identify issues with your protocols, data encryption, and firewall configuration.
Establishing Redundancy and Disaster Recovery Plans
Backing up private and confidential data is crucial to ensuring that sensitive information is not lost or exposed. Minimizing network downtime can often be achieved by having backup systems that will keep running in the event of an attack or outage. For example, a dedicated Cloud Access Network, power supplies, and switches will go a long way.
When creating an internet contingency plan, outline steps and protocols with your team that you will take in the event of a complete failure, including things such as brand reputation management, customer service, and data loss prevention.
As the lines between in-person and digital are blurred, navigating the complexities of implementing a robust network is paramount to your business.
Strengthening your infrastructure, integrating redundant systems, and conducting regular audits and assessments with the proper monitoring and management tools will help you maximize uptime usage and minimize network downtime.
Although overwhelming, working with a reputable network service provider can help you embrace your network topology to remain competitive.
Article | September 12, 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.
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
Creating marketing campaigns tailored to each demographic-based client
Mining collective data for future decision-making
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.
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.
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.
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.
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.
Health Technology, AI
Article | July 18, 2023
EMRs have transformed how healthcare organizations handle patient data, improving efficiency and reducing errors. Hospitals can utilize them to enhance patient care and optimize management processes.
1. Understanding Hospital EMR Systems
1.1 EHRs vs. EMRs
2.Role of EMR in Improving Hospital Management System
3. Resolving Challenges in EMR Implementation
4. Revolutionizing HMS with Next-Gen EMR Innovations
5. Key Takeaways
1. Understanding Hospital EMR Systems
Electronic medical records (EMR) systems in hospitals, as digital adaptations of traditional paper charts, have become an integral part of modern healthcare. They encompass vital patient information, such as diagnoses, medical histories, lab results, medications, and physicians' notes. These systems enhance workflow efficiency by streamlining clinical processes, reducing manual tasks, and facilitating quick access to patient data. By eliminating paperwork and manual searching, EMR hospital software saves valuable time and allows healthcare providers to focus more on patient care. With improved access to comprehensive and accurate information, EMR systems contribute to enhanced patient care, treatment planning, and coordination among healthcare teams, ultimately leading to better outcomes for patients and healthcare institutions.
1.1 EHRs vs. EMRs
Electronic medical records (EMRs) and electronic health records (EHRs) are two electronic systems used in modern healthcare to manage patients' medical information. While both aim to improve the quality of healthcare and patient safety, EMRs stand out for their ability to enhance workflow efficiency, improve patient care and safety, and offer better control over data security and privacy. Compared to EHRs, EMRs are more straightforward to use, less expensive, and do not require as much implementation complexity. Choosing between EMRs and EHRs ultimately depends on the specific functions that best serve the needs of the medical facility. Medical practitioners can find EMRs to be a compelling option due to their affordability and simplicity, as well as their ability to manage medical records securely and effectively.
2. Role of EMR in Improving Hospital Management System
The Hospital Management System (HMS) covers three vital areas of hospital management, namely - Operations, Finance, and Clinical. The clinical aspect of the system includes EMR, which provides medical practitioners with a range of advantages, such as
• EMRs facilitate quick transfer of patient information between different departments.
• The digital record-keeping environment helps save a significant amount of space.
• EMRs can help practitioners increase the number of patients they can see, leading to improved productivity and workflow.
• Reduced errors in medical practice can result in better patient care and management of test results.
• EMRs can reduce operational costs, especially in relation to overtime labor and transcription services.
• EMRs can be customized and scaled to meet the specific needs of medical practice.
• EMRs allow for advanced clinical documentation and e-prescribing.
• EMRs enable more efficient and accurate billing processes for healthcare practices.
In terms of benefits to patients, EMRs can improve the treatment and diagnosis of diseases,facilitate rapid decision-making and coordinate care among medical professionals assigned to individual patients,with a reduced likelihood of significant errors in a patient's health record.
3. Resolving Challenges in EMR Implementation
EMR integration is vital as more healthcare organizations adopt hospital electronic medical records. However, the process can be time-consuming and challenging. Here, we will discuss the top six challenges of integrating EMRs as well as ways to overcome them
Standardizing Data Formats
Data compatibility is one of the primary challenges in integrating EMRs. The diverse formats in which various EMR systems store data can pose a significant hindrance to integration efforts. Addressing this obstacle requires identifying a viable approach for converting the data into a standardized format that is compatible with both systems.
Dealing with varying coding standards is another significant challenge that arises during EMR integration. The utilization of distinct coding standards across different EMR systems can pose a considerable challenge to the integration process. To overcome this hurdle, one must devise a solution to map the codes from one system to the codes in the other system.
EMR integration raises significant security concerns that require attention. Securing the data and restricting access to only authorized users are critical aspects that necessitate appropriate security protocols. To ensure data safety and confidentiality, it is imperative to establish sound security measures.
Maintaining Data Quality
Integrating EMR systems carries a risk of data loss or corruption, making it crucial to prioritize data quality. To address this challenge, it is imperative to establish effective measures that ensure the accuracy and reliability of the data.
Ensuring Optimal Functionality
Following the integration of EMR systems, it is crucial to conduct rigorous testing and validation to ensure that the systems are functioning optimally. Despite the potential costs and time investments involved, it is necessary to prioritize this step to avoid complications and setbacks in the future.
Integrating EMR systems can be a significant financial undertaking, necessitating careful planning and budgeting. It is essential to factor in the costs of licenses, hardware, software, and services when embarking on an integration project. To address this challenge, one can explore cost-saving measures such as negotiating with vendors or implementing open-source software.
4. Revolutionizing HMS with Next-Gen EMR Innovations
In the coming years, emerging trends in EMR are expected to have a significant impact on the hospital management system. It is crucial for hospital EMR management to keep a close eye on these developments and stay informed of the latest technological advancements to provide optimal care to their patients. Adapting to the evolving landscape and staying current with these changes will be essential for hospital management systems to continue providing high-quality care and remain competitive in the healthcare industry.
It refers to the instant digitization of medical records and easy access to them. It is a significant trend in the development of electronic medical records (EMR). However, there are challenges in transferring data between databases. It proves to be a boon when medical staff is scarce as it allows easy access to patient records. Moreover, Cloud Computing in EMR technology can provide healthcare providers with quick access to patient data, which can enable them to provide timely and appropriate care.
Robotic Process Automation (RPA) refers to the computerization and digitization of data. In the healthcare industry, RPA can alleviate the burden of manual labor and provide more precise and reliable data. Sophisticated software and techniques are utilized to derive this data, addressing the problem of inefficiency in EMR without necessitating a complete overhaul of the system. RPA is also a time-saving process that enables medical staff to allocate their time more effectively to crucial tasks. Additionally, RPA can reduce the need for manual labor, resulting in cost savings.
Revamping EMR with IoT, AI & Voice Recognition
The integration of IoT, artificial intelligence, and voice recognition in healthcare has significantly aided in the development of EMR. This combination has the potential to transform the healthcare industry by providing precise and swift data, which could prove critical in saving numerous lives. By combining these three technologies, more accurate data can be obtained, further enhancing patient care.
Big Data and 6G Networking for Healthcare Analysis
Big data analysis helps generate medical records by collecting and analyzing data from multiple sources. This approach provides precise insights that benefit both patients and medical professionals. The sixth-generation network, currently in development, has the potential to transform healthcare. By improving the speed of data transfer and communication between remote locations, this new network will facilitate the digitization of medical records and lead to the development of improved EHR and EMR systems.
Wearable Devices for Better Patient Monitoring
Various wearables with sensors can monitor patients' daily activities and later be integrated with EMRs for better healthcare. The wearables track patients' medical activities and vitals like heart rate and temperature. Integrating these wearables with EMRs provides timely information to healthcare centers, leading to improved care and treatment.
5. Key Takeaways
EMRs have the potential to revolutionize the healthcare industry by enhancing patient care quality, productivity, and outcomes. However, implementing EMRs entails significant changes that require strong leadership support, dedicated physician champions, efficient training and optimization, and flexibility from the implementation team. Targeted training and support for specific components of the EMR system, such as patient portals and documentation tools, can help users adopt the system more efficiently and reduce the impact on productivity. By following a well-planned implementation strategy, healthcare organizations can harness the benefits of EMRs while minimizing disruption to their operations. Overall, EMRs offer solutions that create a secure and efficient platform for healthcare facilities and patients, helping to promote better connectivity and healthier lifestyles. The demand for EMR systems is pressing and vital in the current scenario, as the developments in the EMR industry indicate that they will play a critical role in revolutionizing the medical sector.
Article | December 21, 2020
Yes, empathy has become a fad.
Connecting to another human is actually something cool kids do now. If a brand doesn’t have an impact model that includes a practical social issue, consumers tend to not take that brand seriously. In this case, empathy needs to be revisited beyond the trend itself for these strategies to have real, lasting impact.
Practical strategies around compassion meanwhile have similarly become an intrinsic part of social impact organisations. They have become so commonplace that prosocial behaviour has strayed into a kind of tokenism. It is common for instance for consumers to donate their hard-earned money to companies who focus their energies on trying to alleviate real-world issues.
The question then is whether this proxy for compassion isn’t in fact watering down human connections, as well as our positive impact on the issues business and organisations seek to solve with our help.
Postmodern behavioral science
If it is, then we must understand why and how to change that. This is where postmodern behavioral science provides a possible better alternative to social impact strategies. Postmodern behavioral science suggests that the current approach to understanding human behaviour lacks even a rudimentary understanding of empathy, defined in the area of social impact as a discursive strategy that allows us to feel what the group we are trying to help is feeling.
Of course, compassion has very close ties with empathy. Empathy is an innate ability we all have, one that we can learn to develop and fine-tune over time. It is our emotional connection to another human, though one that lies beyond our own ego. It takes the perspective of the person who is struggling and seeks to understand their life, their struggle, and their worldview. It also resolves to value and validate their perspective and experience — something that donating money to a social impact cause does not.
In its broader definition, empathy is a shared interpersonal experience which is implicated in many aspects of social cognition, notably prosocial behavior, morality, and the regulation of aggression.
Empathy has a host of positive after-effects when applied as an interpersonal experience. If a social impact organisation is preoccupied with raising capital, then it is likely to disregard the practical worth of empathy for those who truly want to achieve its mission.
One way that behavioral science can contribute is to utilise tools that can help augment the experience of those in need for those needing to understand those needs. Both AR and VR can help people visualise and follow the stories of those who require compassion. These create virtual environments for partners, governments, and consumers to experience with the people they seek to help.
But of course, much of human behaviour is geared toward seeking pleasant experiences and avoiding unnecessary pain. Our in-built hedonic valuation systems guide decisions towards and away from experiences according to our survival instincts.
This is precisely why business owners who want to encourage empathy in their customers go the easy route, but should seek a more participatory frameworks to inspire and provide experiences for those on board with a social mission.
Then there are issues like financial literacy in underserved populations, access to clean water, education for women and girls, and environmental conservation, to name a few of the problems that social impact companies are attempting to tackle.
If a company is trying to tackle an issue such as access to clean water, then rather than start there, it should first ask exactly how this issue arose and developed. It should question the beliefs that underpin this chronic social inequality, those that inform policies, practices, cultural taboos, and beliefs about water and people’s access to it.
To simply respond to an issue in its developed form is to leave it unfixed. We must be willing to reverse engineer the origins of that issue that got us to where we are. In other words, human behaviour is not the only component to consider in this.
The main behavioral framework public servants should take with them is to develop a nudge unit solely based on the relationship between behavioural science and technology.
This is mainly because technology is an inevitable part of how we now relate to one another. Immersive Compassion meanwhile should embrace tools like AR/VR that seek to create empathetic environments and valuable impact longevity.
To fully embrace empathy as an organisation is to create relevant and rigorous responses that go as far as to alter the infrastructure of its target goals. Optimising social impact comes down to optimising human experience.