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Health Technology, Digital Healthcare
Article | September 8, 2023
Since ChatGPT’s launch in November 2022, artificial intelligence (AI) tools have become disruptive to nearly every industry. While there's been controversy about whether AI would benefit the healthcare industry, it has proven to be just as capable in healthcare as in other sectors.
In the medical field, there is reason to believe AI tools may be an even more reliable and useful resource than other sectors. Medical students have been panicking over AI's threat to their career prospects. But as these systems mature, the experts increasingly believe that AI may serve as a counterpart to human medical expertise rather than a threat.
How AI Tools Are Expected to Aid Medical Professionals?
Again and again, as the debate over modern AI tools rages on, we encounter the analogy of the calculator. No one feels threatened by calculators, not even professional mathematicians. Instead of throwing up their hands, math experts embrace the power of these now archaic computerized devices. If the experts are correct, this may be similar to the future of the alliance between AI and humans.
According to the designers and programmers who understand how these systems work as well as how information technology tends to progress, AI can be expected to help the medical profession in the following ways:
Cosmetic Surgery Consultations
One of the farthest-reaching applications we see develop is in consultations for plastic surgery and similar applications. Perhaps one of the easiest aspects to understand is hair-loss consultations. In our practice, we use a device known as HairMetrix, which uses an AI-driven analytical system to help determine what is causing a patient to lose their hair and which treatment options would be the most effective.
Because it is AI-driven, it is fully based on visual scans and is completely non-invasive. Just like this, AI can be used in an abundance of other ways to minimize the use of exploratory surgery and improve healthcare outcomes.
Improved Diagnostics
Artificial intelligence is already helping medical providers deliver diagnoses more quickly. These tools can identify anomalies that might otherwise take human hours or even weeks to identify. This has improved the rate of cancer detection, among other things, which will predictably improve survival rates.
Developing New Pharmaceuticals
The development of new medicines is notoriously slow. Not only is testing a painstaking process, but even seeking FDA approval can take years. AI is expected to help the development of pharmaceuticals through simulation on the molecular level, allowing researchers to see how the active mechanisms in a drug will work in the body.
Improved Administrative Efficiency
In the medical field, administrative tasks are notoriously slow. It is believed that generative AI will be able to automate many administrative functions and innumerable office chores. It could streamline sorting patient files, accelerate the interpretation of data, and much more.
Patient Access
In an area where information technology is already improving patients' lives, access to medical advice is still a bottleneck in the system. AI tools have the potential to slowly bridge the gap in health disparities. Combined with the power to diagnose, this could dramatically increase the capability of online patient portals.
Of course, this list of anticipated AI capabilities is far from exhaustive. Researchers and medical professionals have high hopes for these tools, and some are already proving to be more than mere speculation.
In a world where AI is reshaping industries at an unprecedented pace, the healthcare sector stands poised to benefit significantly from this technological revolution. From streamlining administrative tasks to revolutionizing diagnostics, the potential of AI in medicine is vast and diverse. As we witness AI-enabled tools like HairMetrix, enhancing the cosmetic surgery consultations and AI algorithms expediting diagnostic accuracy, it's clear that we are only at the beginning of a healthcare transformation that is set to improve patient care, increase survival rates, and revolutionize medical practices.
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Health Technology, Digital Healthcare
Article | July 14, 2023
With consumers’ share of healthcare costs expanding, we need to do a better job making charges more transparent and more predictable
My husband recently stubbed his toe. Badly. Badly enough that I encouraged him to go see a doctor. He was reluctant. While I suspected he’d rather just garner sympathy by complaining to me while limping around the house (just kidding, honey), his stated reason was all too familiar: “I have no idea what we’ll have to pay. They’ll want to do anX-ray,it might need surgery, and I have no idea what it’ll cost.” All true. We have good health insurance; but like most Americans, when we go to the doctor or have a procedure, what we will actuallyhave topay out of pocket remains a mystery.This is something that we can and should change.
As consumers we are shouldering more and more of the cost of healthcare. And the biggest increases are for those of us with employer-sponsored plans. According to an analysis of federal data by the Commonwealth Fund,deductibles in employer plans more than doubled between 2008 and 2017, from $869 to $1,808. Especially troubling, an accompanyingCommonwealth Fund survey revealed that only 62% of adults were very or somewhat confident in their ability to afford healthcare.
This increasing burden is also evident when you look at the crushing levels of medical debt in the United States. According to a new studyby JAMA, medical debt is now the largest contributor to personal debt. And the data for this study was collectedbeforethe COVID-19 pandemic.
Some of this debt is driven by unpredictability—if the heart procedure you needed costs several thousand dollars more out of pocketthan you thought it would, you may not be prepared, emotionally or financially, to pay it. This is a bad outcome, obviously. The risk of nonpayment rises for the provider; and a recuperating patient is burdened with the stress of a large,unexpected bill.
More skin in the game
Soas consumers are paying more out of pocket, some may become reluctant to seek care (like my husband) or seek more information about what they willhaveto pay for the care they receive. Consumers are also armed with incredible levels of price transparency with other products—everything from hotel rooms to clothing to household items. With so much skin in the game, and the internet providing so much information, consumers’ expectations are changing when it comes to healthcare.
State and federal regulators are also beginning to take action, a trend that will likely accelerate. Most hospitals are now required to publicly disclose the prices they charge. This does not, however, solve the issue for consumers. While it provides a measure of visibility into pricing for insurance companies, Medicare, and Medicaid, it doesn’t show what share the patient will ultimately pay.
Making the complicated simple
The complexity of pricing in healthcare is well documented. Niall Brennan, CEO of the Health Care Cost Institute, a nonprofit that analyzes medical costs, suggests that healthcare costs are too high.As a recent Wall Street Journal article reported, a price of a C-section varied from $6,241 to$60,584 at one hospital. This all has to do with the vagaries of the agreements that hospitals sign with multiple insurance companies and government payers. In turn, each insurance company will have its own deductible and out-of-pocket schedules, which providers don’t have access to.
We are seeking to change this at Change Healthcare. We are piloting our Care Cost Estimator with a few innovative providers. With the Care Cost Estimator, weleverage our unique dataset, and the largest eligibility network in the industry, to make the unpredictable, predictable.Because we’ve managed 15 billion healthcare transactions—and our network covers 1 million physicians, 6,000 hospitals, and 2,400 payers—we have an unmatched ability to analyze what real-world patients are paying for practically any procedure, performed at almost any hospital or clinic.
With a cloud-based transaction engine, providers will now be able to tell their patients how much they will have to pay out of pocket for a given procedure.And this analysis takes place in real time.
Removing unpredictability in pricing
This gives providers the opportunity to offer added value for their patients, taking some unpredictability out of whatis often a stressful transaction. In addition, it accelerates patient payment cycles which, as the patient’s share of the cost burden increases, is becoming more and more important. We’re not talking $50 co-pays anymore; it’s thousands of dollars per transaction. If necessary, providers can also help the patient plan for the expense, offering financing options, thus reducing unpaid bills. For the patient, it allows more informed decision-making and peace of mind.
Testing the beta version of our Care Cost Estimator with our partners will allow us to receive real-world feedback and collaborate with customers on how to continuously improve the product as we scale it. We expect the ROI for providers, in addition to the payment-cycle improvements, will include greater patient satisfaction and loyalty. For the patient, it provides information necessary to help make proper decisions and plan emotionally and financially; in other words, giving the consumer the same information for vital healthcare transactions that’s available to them for practically any other purchase.
This kind of win-win solution is at the core of Change Healthcare’s mission to improve the healthcare experience for everyone—including my husband and his broken toe!
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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.
Contents
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.
Coding Incompatibility
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.
Data Security
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.
Cost Management
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.
Cloud Computing
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.
RPA
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.
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AI
Article | December 21, 2021
Global efforts to tackle gender inequality have grown in recent years. But there is still so much to be done. Figures from the United Nations show that outcomes for women and girls continue to lag across a range of issues, including poverty, education, work and health. And according to the World Economic Forum, at the current rate, it will take 108 years to close the gender gap.
Although healthcare is founded in objectivity and science, gender bias is still remarkably common. We wanted to understand more about female perceptions of healthcare, so we undertook consumer research that delved into the experiences of women compared to men. The results pointed to a clear disparity, finding that women are less likely to visit the doctor when they have symptoms of ill health and, in some cases, are taken less seriously when they do seek medical advice.
Women being left behind
According to our research, a significant proportion of British women feel disappointed in the healthcare they receive, with one in five reporting they weren’t taken seriously when presenting symptoms to a healthcare provider. What’s more, a staggering one in four said they are reluctant to seek medical advice at all for fear of wasting a GP’s time. These statistics suggest that, not only are female experiences of healthcare damaging their relationship with clinicians, but they could be eroding confidence in recognising and acting on warning signs and symptoms too.
This sentiment is particularly evident when focusing on cardiac care. One in eight women (13%) feel ignored when presenting symptoms of heart disease to healthcare professionals, compared to just 4% of men. And of UK adults who have received a coronary heart disease (CHD) diagnosis, women experiencing symptoms were 55% more likely than men to visit the doctor multiple times before receiving a referral for further investigation. On top of this, women are five times more likely to receive a false finding from the cardiac stress tests that are traditionally used to assess heart health.
“There does appear to be a gender bias in onward referral to secondary care and for diagnostics in the local area, which is influenced by the attending healthcare professionals’ risk assessment. Traditional teaching has led to gender bias, as we are programmed to attribute a lower level of pre-test probability and risk to females. This may have contributed to a general lack of awareness around cardiovascular health in women. For example, in a survey I carried out among more than 600 female employees working within North West Anglia NHS Foundation Trust, 82% said they didn’t feel informed about their cardiovascular health. Considering participants included some of the most medically informed women in the UK, the results speak volumes about how we view cardiac health among women.”
- Dr Rebecca Schofield, consultant cardiologist at North West Anglia NHS Foundation Trust
These widespread misconceptions around heart disease and heart attacks are often exacerbated by what we see in the media – think of the countless TV stereotypes of male characters clutching their chests and falling to the floor.
But given that CHD is responsible for one in 13 female deaths, it appears that public health efforts have failed to make people aware of the risks for women. It is, perhaps, not surprising then that 42% of women with CHD did not immediately recognise their symptoms as signs of heart disease. In short, women are missing out on time-critical diagnoses and treatment due to a lack of awareness and education among both healthcare providers and the public.
Technologies making a difference
Thankfully, progress is being made to improve healthcare outcomes for women. Innovative technologies are increasingly providing diagnostic solutions that can reduce incidences of human bias and give clinicians greater clarity on the presence or severity of different conditions in their female patients.
For example, AI is already being used to detect diseases such as cancer more accurately. Its adoption is facilitating reviews and translations of mammograms 30 times faster, with 99% accuracy, reducing the need for unnecessary biopsies.
There’s extraordinary potential for AI and healthcare, and it’s something the NHS continues to recognise, most recently with the launch of its Artificial Intelligence Laboratory (AI Lab) and NHS England’s (NHSE) MedTech Funding Mandate. The latter aims to accelerate the uptake of selected innovative medical devices, diagnostics, and digital products to patients.
As part of the NHS efforts, NHSE has mandated the HeartFlow Analysis for use in hospitals across England for patients, male or female, who might otherwise be sent for a cardiac stress test. The HeartFlow Analysis is a gender-neutral technology that takes data from a coronary CT scan of the heart and leverages deep learning (a form of AI) and highly trained analysts to create a personalised, digital 3D model of each patient’s coronary arteries. This then helps clinicians to quickly diagnose CHD and decide the appropriate treatment for patients of any gender. Time spent in hospital is minimised for patients and often layered testing and unnecessary invasive diagnostic procedures can be avoided.
Final thoughts
While AI is helping us tackle gender bias in certain areas such as oncologic and cardiac testing, healthcare professionals are not absolved of responsibility when it comes to confronting this problem. It remains incumbent upon clinicians to recognise unconscious bias that would deter them from referring women or minority patients for much-needed testing.
Outside of the hospital, public health education efforts must expand so that far more of us can recognise shortness of breath, nausea, vomiting, back or jaw pain, and other symptoms beyond chest pain to be indicators of a heart attack in a woman. Knowing what to look for and overcoming personal bias that might lead to these signs being disregarded, may allow us to help one of the more than 100 women who will experience a heart attack in the UK today.
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