The integration of artificial intelligence (AI) in wound care shows promise of transforming the field, enabling more precise diagnostics, personalized treatment plans, and significantly improved healing outcomes. Providers face many challenges, including time constraints, regulatory demands, and electronic health record (EHR) input. Though progress has been made, information sharing across colleagues and departments has continued to be a barrier to optimal care delivery, and without the correct data available, informed clinical decisions cannot be made. Considering these factors, the wound care industry requires technological advancements to help alleviate common hurdles and enhance care delivery and the patient experience. AI has the opportunity to play a role in this movement, but wound care is experiencing parallel adoption challenges with other healthcare sectors as technology progresses. Grandview Research estimates that the global wound care market will increase at a compound annual growth rate of 4.17% between 2024 and 2030, justifying the need to expand technology capabilities in this sector. Additionally, the aging population is causing an increase in patients with chronic health issues, further driving the need for more advanced care methods.

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Effective wound care requires careful attention and an in-depth understanding of the numerous factors that can influence healing. By incorporating AI in wound care technology to expand knowledge bases and gather insights, providers may be able to better identify needs to address challenges and provide the best treatment options. The use of AI could enable providers to minimize guesswork and deliver more targeted treatments to increase recovery success. Advancements in wound care technology can transform care delivery and streamline clinical operations, creating a new standard for care in the industry.

Expanding wound care treatment options

As an industry that has lacked robust options for treatment, especially for more complex wounds, ensuring accuracy and personalization for individual patients is a crucial step in implementing modern technology. From the start, an accurate diagnosis can make or break the subsequent steps and outcomes of a patient’s treatment plan. AI shows potential to play an influential role in wound care, from measurement and analysis to assisted clinical decision-making for treatment plans. For example, AI algorithms could reference previous patients’ data to identify wound types and stages, increasing accuracy and improving treatment planning. Wound measurement is another essential component of this identification process. Conventional ruler-based measurement practices have a  44% error rate, but AI imaging and measurement can significantly reduce this statistic by measuring a wound accurately through automated digital planimetry. With more accurate measurements, courses of action and outcomes may look drastically different.

More personalized treatment plans are another potential benefit of AI integration in wound care. Utilizing AI to analyze an individual patient’s electronic health record data, providers could take more tailored steps to ensure the best chances of recovery. They may also be able to reference a wider range of data to determine the next best course of action, such as dressings and medications to prescribe as the wound heals.

AI may also be able to offer enhanced monitoring and feedback on treatment plans and progress. With the availability of wound monitoring applications and devices, real-time data collection and analysis can enable ongoing treatment adjustments. In the U.S., approximately 2.5 million individuals develop a pressure injury in acute care facilities every year. AI integration could help reduce the number and severity of hospital-acquired pressure injuries (HAPIs) and prevent needless amputations due to diabetic ulcers by assisting with monitoring, especially in understaffed facilities. The average HAPI costs a hospital up to  $70,000 per case, and HAPIs are the second most common hospital lawsuit claim after wrongful death. For diabetic ulcers, with the rate of diabetes increasing, especially among younger and disadvantaged populations, the rate of amputations has increased over the past several years, further representing the demand for AI’s assistance in addressing chronic wound conditions.

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Improved quality of life and long-term outcomes

Positive outcomes are always the goal at the end of a treatment plan. A patient’s quality of life in both the short and long term could be improved with the use of AI through reduced healing time, minimized complications, and improved patient engagement and compliance. AI-driven care can potentially accelerate healing by using accurate insights to inform care decisions, but more research needs to be done to validate the impact of AI in improving clinical outcomes. Predictive analytics may help spot potential problems early on and help avoid infections or other wound-related issues. For chronic wounds that take more time to heal, AI’s ongoing role in the care plan and process could be pivotal to improving patient outcomes.

AI and its accompanying tools may also drastically increase patient engagement and compliance. With solutions now available to support patient education and engagement, individuals can be more involved in their care journeys with expanded knowledge of their condition and treatment plan. Patient engagement is increasingly recognized as an integral part of health care and a critical component of safe, people-centered services. Informed patients are more likely to feel confident enough to report positive and negative experiences and have increased compliance with established care management plans.

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 Enhancing clinical workflow

Aside from patient-centric benefits, provider organizations can also benefit from implementing AI solutions into their practices. A more streamlined workflow is a primary benefit of integrating AI into practices because it can automate routine tasks. In November 2023, 56% of nurses reported burnout, so finding ways to reduce tedious administrative tasks and allow clinicians to focus on care delivery and patient engagement can help better maintain or even improve the health care workforce. Clinician time is valuable, so allocating resources correctly is essential to a provider organization’s success.

AI has the potential to be a catalyst for the transformation of wound care and beyond. Showing promise of enabling more informed care delivery with transparency and efficiency will positively impact wound care treatment, patient outcomes, and clinical processes that can propel this sector into the future. While hesitancy remains around the adoption of AI in health care, the positives almost certainly outweigh the risks. Engaging with AI technology will help set clinical practices up for success in care delivery and operations, but most importantly, open new doors for patients in need of treatment.

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A majority of lab workers at a downtown Chicago artificial intelligence biotech lab have filed to join the IAM Union.
A group of 400 Tempus AI lab workers who use AI to research diseased cells filed with the regional National Labor Relations Board on Tuesday, Feb. 6 to join the IAM Union (International Association of Machinists and Aerospace Workers). Lab workers are seeking voluntary recognition of their union from Tempus AI management.

“We all love working at Tempus and care deeply about the future of cancer care, but there are many things we think Tempus could do better,” said the IAM Tempus Worker Organizing Committee. “We’re fighting for rigorous safety protocols, pay and benefits that align with the rest of our industry, a voice on the job, and to better the outcomes for the patients that Tempus serves.”

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Tempus AI lab workers, many of whom carry advanced degrees, are seeking stronger safety standards, a better life-work balance, more competitive pay and benefits compared to industry colleagues, and equity and transparency from their employer.

“The IAM Union and its members have always led the way toward advancing the world’s most cutting-edge technology,” said IAM Midwest Territory General Vice President Sam Cicinelli. “Tempus AI lab workers are helping to bring artificial intelligence to the forefront, and they deserve a safe and equitable workplace.”

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The International Association of Machinists and Aerospace Workers (IAM) is among the largest industrial trade unions in North America and represents nearly 600,000 active and retired members in the manufacturing, aerospace, defense, airlines, transportation, railroad, shipbuilding, woodworking, health care, and other industries.

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Sikich has added a Data and Analytics offering to its extensive suite of technology services. The Data and Analytics practice will empower clients to derive maximum value from their data assets. With an emphasis on developing innovative data, analytics and AI strategies, the team will provide consulting and solutions spanning data governance and fluency, master data management, information management modernization, advanced analytics, artificial intelligence, and more.

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“The addition of the Data and Analytics team is a natural expansion of our technology offerings,” said Partner-in-Charge of Sikich’s technology team Mike Kean. “Data is at the center of everything we do and is crucial to successful digital transformation. Expanding our expertise in data management and analytics will allow us to help our clients maximize the value of their technology investments and uncover actionable insights that drive business decisions. I look forward to working with Rick and his team and am confident they will bring immense value to Sikich and our clients.”

Sikich has hired data veteran Rick Young to lead this new offering. Young has more than 20 years of experience building successful data practices for companies across industries, including financial services, health care, retail, manufacturing, government and education. Young’s previous experience includes leading data and analytics practices at consulting firms North Highland and ThreeBridge Solutions. He also founded his own firm, 3Sage Consulting, to support companies with data strategy, modern data platforms, advanced analytics, machine learning and deep learning, and more.

Young is joined by John Eisenhauer and Laurel Salo. With more than 20 years of experience building data analytics and governance programs at major corporations, Eisenhauer will lead operations and program development for the Data and Analytics team. Previously, Eisenhauer served as master practitioner at North Highland and Chief of Data Governance at health insurance provider Humana. Laurel Salo, who will lead business development for the practice, has more than 15 years of experience driving national growth across multiple industries for technology and consulting firms. She has previously served in business development roles at technology-focused consulting firms, where she partnered with clients to develop customized digital and data-driven transformation solutions. Salo recently studied at MIT, participating in an Artificial Intelligence Strategy program.

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“Data is the most valuable asset in today’s digital economy,” said Young. “Adding this new offering to Sikich’s suite of services will help clients transform their data into powerful, actionable insights, and uncover where and how to build competitive advantage with emerging capabilities like generative AI. I’m thrilled to join Sikich and lead this talented team of data experts.”

Sikich’s national technology consultancy helps companies across industries – including life sciences, finance, manufacturing, distribution, and professional services – improve productivity and performance with innovative digital strategies and technology solutions. Sikich is a leader in digital transformation, which includes cloud and emerging technologies, and has one of the deepest, most diverse solution portfolios in the middle market. Sikich’s solutions include business applications and workplace productivity, security and compliance, artificial intelligence, machine learning, blockchain and robotic process automation.

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Molina Healthcare, recently shared some notable results of a groundbreaking health care model that uses artificial intelligence (AI) to impact the full cycle of obstetrical care, from early pregnancy detection to post-NICU community-based care management.

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“The power of this tool has allowed us to ensure appropriate delivery of prenatal care and improve birth outcomes, especially in minority populations”

The result of a partnership between Molina, Lucina Analytics, and Progeny Health, the new model demonstrated results in nearly 150,000 patients over an 18-month period, including an 8% decrease in preterm births compared to national trends, an 8% reduction in NICU admissions, and a 9% reduction in total days in the NICU. In addition, the model has led to a 60% decrease in racial disparities in preterm births for Black mothers.

AI, powered by Lucina Analytics, allows caregivers to spot previously undetectable pregnancies and implement a first-trimester visit at a rate of up to 80%. “The power of this tool has allowed us to ensure appropriate delivery of prenatal care and improve birth outcomes, especially in minority populations,” said Dr. Jason Dees, EVP and chief medical officer, Molina Healthcare, Inc.

When a newborn requires NICU care, it is imperative that the infant and the family are supported during this stressful journey. “The importance of early care management with engagement of both the NICU team and family is significant,” said Dr. Linda Genen, chief medical officer at Progeny Health. “That’s why we follow the babies closely and partner with their high-risk OB/GYN care manager when needed, if they were engaged pre-delivery.”

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Use of AI does not stop at delivery in this unique model; it continues to provide benefits for up to 365 days post-delivery. “We are supporting moms in the critical months after birth, helping address the heartbreaking trends in maternal morbidity and mortality,” shared Dr. Matt Eakins, president of Lucina Analytics. “We assist with birth spacing, screen for postpartum depression, and catch conditions before they are out of control.”

“Molina is proud of our partnership with Lucina and Progeny and thrilled with the outcomes we have seen with regard to improvements in maternal and child health,” continued Dr. Dees.

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BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will demonstrate an accelerated prototype in partnership with Teksun in Booth No. 517 at the Embedded Vision Summit in the Santa Clara Convention Center May 22-24.

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“But apart from these capabilities which make BrainChip’s Akida critical for our current and future customers, it is the ease of adoption that enables them to move rapidly from concept to solution.”

Teksun Inc focuses on end-to-end IoT, AI/ML product design and development, enabling differentiated intelligent solutions like driver monitoring applications, object detection with occupancy detection and gesture gamification, radar-based HR and SPO2 detection, Fall detection, and many more. Also, Teksun provides Product Engineering Services, and Electronics manufacturing for Health Care, Automotive, Security and Surveillance, Industry 4.0, Wearables and Consumer Electronics.

As part of their collaboration, the companies have focused their initial efforts on driver monitoring applications, face detection with occupancy detection and gesture gamification.

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“We realized very early on in our partnership the advantages of BrainChip’s Neuromorphic architecture and its efficient performance with low power consumption,” said Brijesh Kamani – Founder & CEO of Teksun. “But apart from these capabilities which make BrainChip’s Akida critical for our current and future customers, it is the ease of adoption that enables them to move rapidly from concept to solution.”

“We are very excited about the progress we are making with Teksun in a very short amount of time,” said Rob Telson, Vice President of Ecosystems and Partnerships at BrainChip. “We look forward to supporting their future customers with the rapid adoption of BrainChip’s Akida as a key differentiator for their edge AI product offerings. The Embedded Vision Summit is the perfect venue to showcase how our joint efforts will bring tremendous advancements to the AI and ML markets.”

The Embedded Vision Summit attracts a global audience of technology professionals from companies developing computer vision and edge AI-enabled products including embedded systems, cloud solutions and mobile applications. BrainChip will have a booth at this event demonstrating the latest accomplishments with the Akida technology as well as presenting at this event.

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Deloitte announced the expansion of its operating system for health care to include implement, operate and advisory services for Oracle, a leading provider of operational and clinical technology for hospitals and health care systems worldwide. Deloitte’s expanding health care technology offerings, Deloitte Health – Oracle Accelerated, are designed to keep pace with the changing world of health care, which is moving into broad ecosystems and platforms, and shifting from being driven by hospitals, providers, or insurance companies to being driven by patients.

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As the industry transforms from responsive sick care to proactive wellness, the medical field needs to meet patients where they are — through mobile access and data portability and supporting providers looking to overcome thin margins and workforce challenges. In the current environment, the health care delivery system can benefit from Deloitte’s industry know-how and Oracle’s extensive portfolio of technology, which is uniquely positioned to become the operating system for health care.

A long-time Oracle PartnerNetwork (OPN) member, Deloitte is working with Oracle Health to provide clients a future-ready health care delivery system through five immediate priority initiatives created to:

• Modernize the Core: assisting health care organizations as they implement, operate and support a modern electronic health record (EHR) platform.
• Rationalize and Enable Cloud Evolution: migrating clients to Oracle Cloud Infrastructure (OCI), and rationalizing infrastructure and applications.
• Improve Performance and Automate Workflows: leveraging Deloitte assets and capabilities to achieve full potential of OCI and data to improve operational and clinical workflows and outcomes.
• Realize Business/Operations Efficiencies: improving the back-office by integrating enterprise resource planning, clinical and human resources data together to provide operational insights.
• Drive AI-powered Insights and Actions: enable operations of an intelligent health system with optimized digital-provider and consumer workflow experiences.

Some of these initiatives are already having tangible market impacts. A large health system, and an innovative leading specialty center are engaging Deloitte Health – Oracle Accelerated for EHR, back-office transformation, AI, data, analytics and insights.

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“As health care continues to shift toward patient-driven, wellness care, we believe it’s important to align our offerings with the future of health care, and to lead our Oracle clients toward increasing degrees of digital transformation and human-centric, intelligent care delivery,” said Hashim Simjee, global Oracle health care leader, and principal, Deloitte Consulting LLP. “Our goal is to empower consumers to control their own health care journeys while giving providers the means to deliver both better human and financial outcomes.”

“Collaboration across the entire ecosystem will be critical to making health care more efficient, holistic, accessible and equitable,” said Stephanie Trunzo, senior vice president and general manager, Oracle Health. It takes organizations like Deloitte, and communities, organizations, innovators to empower health care clinicians to provide better care.”

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Via Scientific,a new Cambridge based technology and AI company, is proud to announce the launch of Foundry, a multi-omics accelerator platform focused on significantly shortening the path to scientific breakthroughs.

The Foundry platform was originally developed at UMass Chan Medical School; Via Scientific has exclusive commercial rights to the platform.   Founders of the company are Melissa J. Moore, PhD Chief Scientific Officer Emeritus at Moderna, Alper Kucukural, PhD co-director of the Bioinformatics Core at UMass Chan Medical School and CTO of Via Scientific, Manuel Garber, PhD, co-director of the Bioinformatics Core at UMass Chan Medical School, Jim Crowley, local technology and AI entrepreneur and Janet Kosloff, founder of the health care analytics company InCrowd.

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Foundry automates the complex data and analytical work associated with multi-omics research.  Featuring a powerful drag-and-drop pipeline and meta data building functionality that eliminates the need to write code, plus full process orchestration and customizable analytics, Foundry is a force multiplier for biomedical researchers.  Furthermore, the platform ensures that all data and analytics are shareable, reusable, and reproducible. This frees up time and resources for both investigators and bioinformaticians to concentrate on generating core scientific insights and therapeutic breakthroughs.

“We are thrilled to introduce Foundry to the market,” said Melissa Moore. “As both an academician and CSO at Moderna, I saw firsthand the need for a powerful and adaptable tool like Foundry.  Scientists are consistently challenged to keep up with our ability to ask questions and imagine possibilities.  Foundry transforms ‘process time’ into ‘scientific time’, so scientific teams can focus on unlocking the underlying science that results in new insights and breakthroughs.”

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“Multi-omics analytics is maddingly difficult, and we have made it our mission to simplify this vital research domain,” added Jim Crowley, CEO of Via Scientific. “Scientists should not have to spend their time wrangling data, writing code, and coordinating dev. op. tasks just so they can get to the point where they can begin to ask their questions.  Foundry changes all of that as scientists will now spend their time where it is intended – interrogating experimental results, shaping insights, and advancing understanding.”

Via Scientific is focused on supporting the analytical needs of biotech, pharmaceutical, research institutes and academic universities, and on further developing the Foundry platform and amplifying its AI capabilities.

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The Board of Directors would like to announce the following changes in appointments to the Board with effect from 6th December 2022:

(1) Mr Sim Giok Lak’s decision to step down as Non-Executive Chairman of the Board; and

(2) The appointment of Dr. David John Jeans CBE, as Non-Executive Chairman of the Board.

Since the incorporation of the Company, Mr Sim Giok Lak has guided HistoIndex with his wealth of industrial and corporate experiences. Mr Sim believes that the company has reached a stage of its growth to be led by someone who has greater depth in medical technology to take the company to the next stage of growth. The Board wishes to express its appreciation to Mr Sim for his invaluable contributions to the Company. He will remain as a Non-Executive Director on the Board as well as Non-Executive Chairman of Choutu Technology, a wholly owned subsidiary of HistoIndex that is based in Hangzhou, China.

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Dr. David John Jeans was first appointed to the Board as a non-executive director on 17th May 2022. Dr Jeans has helmed senior leadership positions in international healthcare corporations such as Bristol Myers Squibb and Johnson & Johnson. He was previously the Chairman of Cardiff University, Deputy Chief Executive of the UK Medical Research Council, chaired the Trustee Board of MRC Technology, involved in the Science Advisory Council for Wales, and served as Trustee of the Francis Crick Institute. He is currently the Chairman of the Digital Health & Care Innovation Centre in Scotland and in Singapore, John is a co-Chair of the Strategic Advisory Panel at the Diagnostics Development Hub (DxD Hub). In 2012, John was awarded the Commander of the Order of the British Empire (CBE) for his significant contributions to Life Sciences, Healthcare and Science.

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Dr. Gideon Ho, Chief Executive Officer of HistoIndex commented “I want to express my immense gratitude to Mr. Sim for his years of mentorship and guidance. Dr. John Jeans, a renowned thought leader and visionary in the healthcare industry will continue with the foundation that Mr. Sim had laid down as we continue our growth trajectory as a leading AI digital pathology company.”

Says John, ”I am excited to be appointed as the Non-Executive Chairman of the Board. Coupling HistoIndex’s proprietary stain-free imaging and machine-learning algorithm in fibrosis and cancers, we are confident of initiating better outcomes for drug development and patient care.”

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