Healthtech Security
Article | November 29, 2023
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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Health Technology, Digital Healthcare
Article | August 16, 2023
Health technologies range from devices, systems, and procedures to vaccines and medications that help deliver high-quality care, reduce costs for hospitals and patients, and streamline operations. It can be any software or IT tool that improves administrative productivity, eases workflow, and enhances the quality of life.
New technology in healthcare includes supportive, educational, information, organizational, rehabilitative, therapeutic, preventive, and diagnostic solutions that improve patient access and healthcare provider capabilities. Virtual concierge, artificial intelligence, voice search, and virtual and augmented reality are promising emerging technologies for 2021.
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Health Technology, AI
Article | July 18, 2023
Introduction
Top Upcoming Healthcare Supply Chain Trends to Know About
Immediate Access to Medical Supplies
Emphasis on Visibility and Tracking
Investment in Technologies
Artificial Intelligence
Cloud Computing
Data Analytics
Healthcare Supply Chain Management Solutions: Features and Significance
Why Is Supply Chain Management Software Gaining Prominence in Healthcare?
Closing Thoughts
Introduction
With the ever-evolving and changing nature of the healthcare industry, organizations are discovering new methods to eliminate waste, reduce costs, and prioritize patient concerns.
Despite the fact that the COVID-19 pandemic has shown the vulnerabilities of healthcare supply chains and caused shortages of personal protective equipment (PPE) and other essential medical supplies, it has served as a catalyst for innovation and digital transformation in healthcare supply chain management solutions.
Healthcare and medical organizations have learned the hard way to let go of the traditional ways of thinking, such as a mindset that prioritizes just-in-time supply chains and logistics optimization over everything else.
Tight, fragile supply networks and lousy inventory management have caused severe shortages of pharmaceutical and medical supplies in the past. However, with the emergence of innovative technologies and trends, now is the time to adopt a new mindset that emphasizes supply chain resilience, flexibility, and agility, making supply chains stronger and adaptable. This will enable healthcare spaces to handle unexpected spikes in demand and survive unpredictable disruptions brought on by pandemics, natural disasters, or cyberattacks in the future.
Top Upcoming Healthcare Supply Chain Trends to Know About
In recent years, healthcare providers have been concentrating on supply chain management solutions not only to increase the effectiveness of supply chain networks but also to gain more visibility into the entire supply chain.
With the goal of streamlining the ordering process, enhancing demand planning & inventory management, and informing purchasing contract decisions, healthcare providers have started to understand the potential of advanced healthcare supply chain solutions. Since then, these organizations have recognized the value of an efficient and dependable supply chain as a critical competitive differentiator.
A substantial rise in medical and healthcare spending is being witnessed across the globe due to the rapidly increasing number of various diseases and conditions, such as chronic ailments, infectious diseases, and genetic disorders. According to a study, the national health expenditure in the U.S. reached US$ 4.1 trillion in 2020, including the spending of US$ 829 billion on Medicare and US$ 671 billion on medical aid.
Hence, healthcare organizations, manufacturers of medical devices, and other entities participating in the medical supply chain are investing in innovative supply chain and logistic solutions to provide optimal and timely treatments to patients.
Innovation is not only crucial for lowering operating expenses and simplifying business processes, but it is also necessary for providing superior care to patients and enhancing clinical outcomes. Let's see some of the top healthcare supply chain trends that are revolutionizing the healthcare sector.
Immediate Access to Medical Supplies
Medical equipment and component shortages are not new challenges for the healthcare industry. Hospitals and other medical establishments have faced continual disruptions in the supply chain over the last decade, starting from personal protective equipment and medical device shortages to improper management of medical inventory. This was especially witnessed in the past two years, during the COVID-19 pandemic.
Healthcare producers previously adopted a strategy to either pay higher premiums for medical equipment or stockpile them on their balance sheets. However, the issue with this strategy was that during the acute and unprecedented shortage, fewer devices and parts were left to acquire and keep in inventory, which has compelled hospitals to adopt a more cautious supply chain strategy.
Medical establishments need a more diverse pool of suppliers and cannot only rely on just-in-time inventory ordering. Hence, a swift rise in inclination toward adopting sophisticated supply chain solutions is being witnessed across the industry to monitor certain suppliers' run rates. This enables modern healthcare organizations to create more resilient and robust hospital supply chains and provide immediate access to medical inventory.
Emphasis on Visibility and Tracking
One of the most prevalent healthcare supply chain trends witnessed across the industry is the growing focus on visibility and tracking. Obtaining medical supplies, equipment, drugs and others safely, timely, and accurately from the factory floor to patients is the responsibility of the healthcare supply chain. As the industry shifts to value-based care models, the healthcare supply chain is experiencing enormous pressure to increase visibility, decline costs, and improve outcomes.
With the advent of online shopping and the introduction of novel medical e-commerce platforms, manufacturers and suppliers of healthcare products are focusing on real-time tracking during transit and logistics operations. As a result, they are increasingly adopting advanced healthcare supply chain management software to enhance visibility, stream operations, and decrease delivery time.
Investment in Technologies
The efficient management of the healthcare supply chain is paramount for proper patient care and inventory control. The implementation of digital healthcare technology is an essential step toward the achievement of a higher level of efficiency in supply chain management.
Digital healthcare logistics and supply chain solutions have the potential to generate long-term value for healthcare providers, which is one of the main aspects driving the transformation away from the conventional healthcare supply chain. It is improving patients' access to care while making it more efficient, cost-effective, and secure. In addition to this, the integration of advanced technologies is assisting hospitals and healthcare providers in reducing operational costs and identifying appropriate growth opportunities. The following are the technologies healthcare organizations are investing in to strengthen their supply chain management
Artificial Intelligence
The healthcare supply chain trend that is paving the way in the industry is artificial intelligence (AI). It is the future of the healthcare supply chain. The integration of the technology assists in improving logistics efficiencies via quicker data processing, continuous process improvement, and accurate demand-supply forecasting.
By connecting historical data with external patterns that affect production, AI presents a chance to greatly increase the speed and precision of healthcare logistics and supply chain activities. In addition, it enables medical equipment manufacturers and suppliers to constantly record crucial operational data and preserve institutional expertise for future use.
Cloud Computing
Cloud computing technologies have played a significant role in transforming the healthcare supply chain management that is used today. It reduces expenses, shortens logistics operations, and increases data security by centralizing data and providing access to that data to numerous associated entities.
With technological advancements, cloud computing is anticipated to gain huge popularity in creating a resilient supply chain with a well-knitted network of healthcare providers, manufacturers, and suppliers. And also provides next-generation features, such as transport route optimization and automatic inventory management.
Data Analytics
Data analytics provides a broader range of in-depth information that can be used to make operational processes more effective, inventory management more strategic, and decisions more accurate. It also assists in transforming the healthcare supply chain by providing access to cutting-edge methods like data mining, predictive forecasting, and predictive analytics to foresee future events with precision, assisting healthcare providers in forecasting further demand and supply interruptions.
In addition to the increasing need for declining costs and transit time, drug manufacturers and healthcare aid suppliers are investing in advanced data analytics to assist them in visualizing the whole supply chain, including its pain points, inefficiencies, and strengths.
Healthcare Supply Chain Management Solutions: Features and Significance
The healthcare industry as a whole is thriving, and this growth is reflected in the more sophisticated and digital nature of healthcare supply chain management software. The solution helps medical facilities see the big picture by coordinating and integrating procedures that manage and control the flow of money, data, and items as a product or service, all the way from the point of production to healthcare spaces, allowing for more efficient care.
The primary goals of these supply chain solutions, such as healthcare logistics software, are to improve visibility and efficiency throughout the distribution network. In recent years, these goals have expanded to include the strategic objective of improving supply chain agility and resilience— to cope with times of uncertainty, shortages, and volatility in demand and supply conditions.
Getting supply chain management right in healthcare means that participating players will be able to effectively identify and resolve bottlenecks, possible interruptions, and other issues that arise anywhere along the end-to-end supply chain. As one of the features, these supply chain solutions have the potential to improve patient care and safety while reducing waste and wasteful expenses. Let's see a few more features of healthcare supply chain management software
Procurement Management
Logistics Management
Inventory Management
Order Management
Warehouse Management
Supplier Relationship Management
Why Is Supply Chain Management Software Gaining Prominence in Healthcare?
Due to increasing instances of medication and healthcare aid shortages, a strong need for modernizing the healthcare supply chain is being experienced by numerous hospitals, drug manufacturers, and suppliers. In addition, the growing use of medical e-commerce is further increasing the complexities in the inventory and logistics operations, making it difficult for the players mentioned above to provide timely delivery, reduce wastage, and ultimately save patients.
To counter these challenges, medical establishments are emphasizing adopting more advanced and resilient supply chain management solutions, which assist them in streamlining and automating routine manual processes such as logistics operations, planning, forecasting, and others. The following are more reasons to encourage healthcare establishments to adopt resilient supply chain management software
Logistics and Shipping Optimization
Reduce Cost Effects
Enhance Quality Control
Increase Flexibility
Better Collaboration with Suppliers
Reduce Inventory and Overhead Costs
Increase Output
Enhance Transparency
Decrease Delivery Time
Closing Thoughts
In today’s constantly evolving healthcare sector, medication manufacturers and hospitals are looking to adopt innovative solutions, such as healthcare logistics software, to eliminate waste, reduce costs, and improve patient care.
The growing integration of AI, predictive analysis, blockchain, and other technologies is playing a major role in modernizing the healthcare supply chain and streamlining operations by automating and improving decision-making abilities. As the healthcare supply chain trends discussed above keep on creating new roads in the industry, supply chain management solutions, such as healthcare logistics software, are anticipated to become a necessity in the future.
Thus, ahead-of-the-curve healthcare providers are seizing this instance as an opportunity to invest in cutting-edge technologies and shift towards using digital solutions to make their supply chains more robust and improve the flexibility of their logistics operations.
FAQ
What is Healthcare Supply Chain Management Software?
Ans: A healthcare supply chain management software assists medication manufacturers and hospitals in sourcing, tracking, quality control, and logistics by automating operations, enabling them to manage costs, time, and inventory by planning and forecasting trends.
What Are the Types of Supply Chain Management Software Used in Healthcare?
Ans: The most common types of supply chain management software used across the healthcare sector are
Logistics
Sourcing and Procurement
Inventory Management
Warehouse
Order Processing
Shipping
What Are the Key Performance Indicators of Supply Chain Management Software in the Healthcare Industry?
Ans: Key performance indicators of supply chain management software in healthcare are
Reduction in Cost
Enhancement in Customer Service
Time to Customer
Forecasting Accuracy
Flow of Logistics Process
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AI
Article | December 21, 2021
COVID-19 has been a catalyst for change, with the diagnostics industry taking centre stage and rising to the challenge of a global pandemic. One of the silver linings of this mammoth task has been the unprecedented time and focus dedicated to finding new technologies and solutions within the sector.
The lessons learned from the pandemic now need to be taken forward to improve breast and cervical cancer detection, prevention and treatment across the UK over the coming years.
In the more immediate term, the diagnostics industry, alongside public health leaders, faces a daunting backlog as screening programmes for breast and cervical cancer were put on pause for months. These two life-saving tests have been some of the most overlooked during the pandemic and getting back on track with screening is critical as we start to turn the corner. We believe innovation in diagnostics, particularly artificial intelligence guided imaging, is a key tool to tackle delays in breast and cervical cancer diagnosis.
The scale of the backlog in missed appointments is vast. In the UK, an estimated 600,000 cervical screening appointments were missed in April and May 2020. And an estimated 986,000 women missed their mammograms, of which an estimated 10,700 could be living with undiagnosed breast cancer. It is clear that hundreds of thousands of women have been affected as COVID-19 resulted in the reprioritisation of healthcare systems and resource allocation.
Both cervical and breast cancer screening are well suited for digital technologies and the application of AI, given both require highly trained medical professionals to identify rare, subtle changes visually –a process that can be tedious, time-consuming and error prone. Artificial intelligence and computer vision are technologies which could help to significantly improve this.
What does AI mean in this context?
Before examining the three specific areas where digitisation and AI can help, it is important to define what we mean by AI. It is the application of AI to medical imaging to help accelerate detection and diagnosis. Digitisation is the vital first step in implementing an AI-driven solution – high quality images demand advanced cloud storage solutions and high resolution. The better the quality of the input, the more effectively trained an AI system will be.
The first area where AI-guided imaging can play a role is workflow prioritisation. AI, along with increased screening units and mammographers, has the potential to increase breast cancer screening capacity, by removing the need for review by two radiologists. When used as part of a screening programme, AI could effectively and efficiently highlight the areas that are of particular interest for the reader, in the case of breast screening, or cytotechnologist when considering cervical screening.
Based on a comparison with the average time taken to read a breast screening image, with AI 13% less time is needed to read mammogram images, improving the efficiency with which images are reviewed. This time saving could mean that radiologists could read more cases a day and potentially clear the backlog more quickly.
For digital cytology for cervical cancer screening, the system is able to evaluate tens of thousands of cells from a single patient in a matter of seconds and present the most relevant diagnostic material to a trained medical professional for the final diagnosis. The job of a cytotechnologist is to build a case based on the cells they see. Utilising these tools, we are finding that cytotechnologists and pathologists are significantly increasing their efficiency without sacrificing accuracy to help alleviate the backlog of cervical screening we are seeing in many countries.
Prioritising the most vulnerable patients
Another key opportunity is applying AI to risk stratification, as it could help to identify women who are particularly at risk and push them further up the queue for regular screening. Conversely, it would also allow the screening interval for those women at lower risk to be extended, creating a more efficient and targeted breast screening programme.
For example, women with dense breast tissue have a greater risk factor than having two immediate family members who have suffered from breast cancer. What’s more, dense breasts make it more difficult to identify cancerous cells in standard mammograms. This means that in some cases cancers will be missed, and in others, women will be unnecessarily recalled for further investigation.
A simple way to ensure that those most at risk of developing breast cancer are prioritised for screening and seen more regularly would be to analyse all women on the waiting list with AI-guided breast density software. This would allow clinicians to retrospectively identify those women most at risk and move them to the top of the waiting list for mammograms.
In the short term, to help tackle the screening backlog, prior mammograms of women on the waiting list could be analysed using the breast density software, so that women at highest risk could be seen first.
Finding new workforce models
Being able to pool resources will allow resource to be matched to demand beyond borders. Globally, more than half a million women are diagnosed with cervical cancer each year and the majority of these occur where there is a lack of guidance to conduct the screening programme. The digital transformation of cervical screening can connect populations that desperately need screening to resources where that expertise exists. For example, developing countries in Africa could collect samples from patients and image these locally, but rely on resources in the UK to support the interpretation of the images and diagnoses. Digital diagnostics brings the promise of a ‘taxi-hailing’ type model to cervical cancer screening – connecting groups with resources (drivers with cars) to those who are in need (passengers): this is an efficient way of connecting laboratory professionals to doctors and patients around the world.
It’s going to take many months to get cancer screening programmes up and running at normal levels again, with continued social distancing measures and additional infection control impacting turnaround times. But diagnostic innovation is on a trajectory that we cannot ignore. It will be key to getting cancer screening programmes get back on track. AI is a fundamental piece of the innovation puzzle and we are proud to be at the forefront of AI solutions for our customers and partners.
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