University of Kentucky Co-Executive Vice Presidents for Health Affairs Eric N. Monday and Robert S. DiPaola sent the following message to the UK HealthCare community on Nov. 6, 2024: We are very pleased to announce that Chris DeSimone and Tim Slocum have accepted the positions of Executive Chief Medical Officer and Senior Vice President and Chief Operations Officer, respectively.

University of Kentucky Co-Executive Vice Presidents for Health Affairs Eric N. Monday and Robert S. DiPaola sent the following message to the UK HealthCare community on Nov. 6, 2024: We are very pleased to announce that Chris DeSimone and Tim Slocum have accepted the positions of Executive Chief Medical Officer and Senior Vice President and Chief Operations Officer, respectively.

Are you a self-insured employer looking for ways to reduce healthcare spend? Join us for a webinar on December 11 in which HR executives will share their insights.

The post Where Can Self-Insured Employers Look to Find Healthcare Savings? appeared first on MedCity News.

The convergence of Trump’s political capital, Kennedy’s agricultural vision, and existing technological capabilities creates an unprecedented opportunity to restructure America’s approach to health and disease prevention.

The post Trump, RFK Jr., and the Healthcare Bombshell No One Sees Coming appeared first on MedCity News.

Sai Deepak Talasila's AI-driven platform represents a transformative leap in healthcare cost transparency, providing patients with personalized cost estimates and facilitating provider comparisons.

Prime Minister Narendra Modi on Wednesday reaffirmed the Centre's commitment to providing better healthcare and improving the living conditions of the countrymen.

13.11.2024 MINI PUSHKARNA, J:

I.A. 14145/2023 (Application under Order XXXIX Rules 1 & 2 read with Section 151 CPC, 1908)

1. The present application has been filed on behalf of the plaintiffs under Order XXXIX Rules 1 and 2 of Code of Civil Procedure, 1908 ("CPC") seeking interim injunction for restraining the defendant from manufacturing, selling, offering for sale, advertising and/or promoting by using the mark/ trade name „ALDER BIOCHEM‟ and any other mark/ trade name/ label/ device that contains the trademark BIOCHEM.

Federal Express Corporation (FedEx) has expanded its state-of-the-art Life Science Center in Gimpo, Gyeonggi-do, Korea.

UPS Healthcare has announced an expansion of its European hub facility in Roermond, the Netherlands by 21,860 sqm, adding in-demand freezer farm capacity, a crucial link in a strong and reliable supply chain for a growing number of complex biopharma products.

DeepIntent applies AI to data to identify medical and patient audiences for healthcare marketing, track them across devices, and deliver impactful messages

[Innisfil, ON] - It has been well-publicized that the COVID-19 crisis has led to an equally dire mental health crisis among Canada's front-line healthcare workers.

(EMAILWIRE.COM, October 23, 2024 ) The global Computer Vision in Healthcare market growth forecasted to transform from USD 3.9 billion in 2024 to USD 11.5 billion by 2029, driven by a CAGR of 24.0%. Market growth is propelled by the regulatory initiatives and incentives promote the adoption of computer...

(EMAILWIRE.COM, October 30, 2024 ) The Healthcare BPO market is projected to grow from USD 395.3 billion in 2024 to USD 626.6 billion by 2029, at a CAGR of 9.7%. Healthcare Business Process Outsourcing involves delegating business operations to third-party providers to reduce costs and enhance patient...

(EMAILWIRE.COM, November 05, 2024 ) The Exoskeleton Market is projected to grow rapidly, driven by applications in healthcare rehabilitation and industrial productivity. Exoskeletons enhance mobility for those with disabilities and improve worker efficiency and safety in industries such as manufacturing...

[This Day] A social and developmental organisation, HACEY, has partnered with Access Corporation to improve maternal health outcomes for mothers at Meiran Primary Healthcare Center, Lagos.

[The Conversation Africa] An estimated 12 million teenage pregnancies are reported globally every year.

Will healthcare providers who hold to the sanctity of human life be allowed work in the emerging secular society?

Staying on top of what people are saying or writing about you is about more than ego. It helps you amplify the positive and quickly resolve anything negative—before it blows up. Healthcare providers face a unique challenge when it comes to their reputations. How current and future patients view you […]

The post Healthcare Reputation Management: 7 Tricks to Do First appeared first on .

This paper presents a sequential edge swap (SQES) mechanism to design a robust network for a healthcare system utilising energy and communication range of nodes. Two operations: sequential degree difference operation (SQDDO) and sequential angle sum operation (SQASO) are performed to enhance the robustness of network. With equivalent degrees of nodes from the network's centre to its periphery, these operations build a robust network structure. Disaster attacks that have a substantial impact on the network are carried out using the network information. To identify a link between the malicious and disaster attacks, the Pearson coefficient is employed. SQES creates a robust network structure as a single objective optimisation solution by changing the connections of nodes based on the positive correlation of these attacks. SQES beats the current methods, according to simulation results. When compared to hill-climbing algorithm, simulated annealing, and ROSE, respectively, the robustness of SQES is improved by roughly 26%, 19% and 12%.

This study investigates the well-being of healthcare professionals in India, with a specific focus on the detrimental effects of the pandemic on their mental and physical health, including stress, burnout, and fatigue. This research examines the roles played by calling, mindfulness, and compassionate love as essential resources in promoting the well-being of healthcare professionals. Utilising structural equation modelling (SEM), the results reveal a significant cause and effect relationship between calling, mindfulness, and compassionate love and their influence on overall well-being. Furthermore, the study identifies a noteworthy parallel mediation effect, demonstrating that mindfulness and compassionate love serve as mediators in the relationship between calling and well-being. This research offers practitioners invaluable insights into the effective utilisation of mindfulness and compassionate love practices to enhance the overall well-being of healthcare professionals.

Aim/Purpose. The aim of this study is to recognize the factors that contributed to the development of IT in the healthcare industry. Background. The healthcare Information Technology (IT) solutions market has experienced remarkable growth, with the healthcare sector emerging as a $303 billion industry. However, despite its substantial size, the healthcare industry has faced criticism for its slow adoption of innovative technologies. This study aims to explore factors driving the evolution of IT in the healthcare sector. Methodology. The researchers conducted a systematic literature review, searching the PubMed and Emerald databases for relevant peer-reviewed articles. After filtering based on defined criteria, 433 articles were included for analysis. Thematic analysis was applied to the abstract of articles which spanned the period of 1997 to 2023. Contribution. This study provides a conceptual framework elucidating the key factors driving the evolution of IT in the healthcare industry. By systematically analyzing the existing literature, the research identifies four overarching themes – government policies, technological potentials, healthcare delivery needs, and organizational motivations – that have propelled the development and adoption of healthcare IT solutions. Provide a conceptual model for understanding, and design of the healthcare it solutions. Findings. Based on the analysis in this paper, four themes emerged: government policies promoting IT adoption through initiatives like incentives for electronic health records; technological breakthroughs enabling new healthcare IT capabilities; healthcare delivery needs to drive IT integration for improved quality and safety; and patient experience and organizational motivations to leverage IT for streamlining processes and knowledge management. Recommendations for Practitioners. The conceptual model can guide practitioners in developing IT solutions aligned with policy drivers, technological capabilities, care delivery needs, and organizational imperatives. Recommendations for Researchers. The conceptual framework developed in this study offers a lens for researchers across disciplines to continue investigating the role of information technology in the healthcare industry. Impact on Society. Examining the evolution of IT in the healthcare industry revealed the importance of information technology in enhancing the delivery and affordability of healthcare services and addressing issues of accessibility and inequality. Future Research. Future research will explore global perspectives showcasing the successful impact of IT on healthcare, as emerging technologies impact healthcare delivery and patient outcomes.

Aim/Purpose: The primary purpose of this study is to provide a cost-effective and artificial intelligence enabled security solution for IoT enabled healthcare ecosystem. It helps to implement, improve, and add new attributes to healthcare services. The paper aims to develop a method based on an artificial neural network technique to predict suspicious devices based on bandwidth usage. Background: COVID has made it mandatory to make medical services available online to every remote place. However, services in the healthcare ecosystem require fast, uninterrupted facilities while securing the data flowing through them. The solution in this paper addresses both the security and uninterrupted services issue. This paper proposes a neural network based solution to detect and disable suspicious devices without interrupting critical and life-saving services. Methodology: This paper is an advancement on our previous research, where we performed manual knowledge-based intrusion detection. In this research, all the experiments were executed in the healthcare domain. The mobility pattern of the devices was divided into six parts, and each one is assigned a dedicated slice. The security module regularly monitored all the clients connected to slices, and machine learning was used to detect and disable the problematic or suspicious devices. We have used MATLAB’s neural network to train the dataset and automatically detect and disable suspicious devices. The different network architectures and different training algorithms (Levenberg–Marquardt and Bayesian Framework) in MATLAB software have attempted to achieve more precise values with different properties. Five iterations of training were executed and compared to get the best result of R=99971. We configured the application to handle the four most applicable use cases. We also performed an experimental application simulation for the assessment and validation of predictions. Contribution: This paper provides a security solution for the IoT enabled healthcare system. The architectures discussed suggest an end-to-end solution on the sliced network. Efficient use of artificial neural networks detects and block suspicious devices. Moreover, the solution can be modified, configured and deployed in many other ecosystems like home automation. Findings: This simulation is a subset of the more extensive simulation previously performed on the sliced network to enhance its security. This paper trained the data using a neural network to make the application intelligent and robust. This enhancement helps detect suspicious devices and isolate them before any harm is caused on the network. The solution works both for an intrusion detection and prevention system by detecting and blocking them from using network resources. The result concludes that using multiple hidden layers and a non-linear transfer function, logsig improved the learning and results. Recommendations for Practitioners: Everything from offices, schools, colleges, and e-consultation is currently happening remotely. It has caused extensive pressure on the network where the data flowing through it has increased multifold. Therefore, it becomes our joint responsibility to provide a cost-effective and sustainable security solution for IoT enabled healthcare services. Practitioners can efficiently use this affordable solution compared to the expensive security options available in the commercial market and deploy it over a sliced network. The solution can be implemented by NGOs and federal governments to provide secure and affordable healthcare monitoring services to patients in remote locations. Recommendation for Researchers: Research can take this solution to the next level by integrating artificial intelligence into all the modules. They can augment this solution by making it compatible with the federal government’s data privacy laws. Authentication and encryption modules can be integrated to enhance it further. Impact on Society: COVID has given massive exposure to the healthcare sector since last year. With everything online, data security and privacy is the next most significant concern. This research can be of great support to those working for the security of health care services. This paper provides “Security as a Solution”, which can enhance the security of an otherwise less secure ecosystem. The healthcare use cases discussed in this paper address the most common security issues in the IoT enabled healthcare ecosystem. Future Research: We can enhance this application by including data privacy modules like authentication and authorisation, data encryption and help to abide by the federal privacy laws. In addition, machine learning and artificial intelligence can be extended to other modules of this application. Moreover, this experiment can be easily applicable to many other domains like e-homes, e-offices and many others. For example, e-homes can have devices like kitchen equipment, rooms, dining, cars, bicycles, and smartwatches. Therefore, one can use this application to monitor these devices and detect any suspicious activity.

Aim/Purpose: This study analyzes health professionals’ information security behavior (ISB) as health information system (HIS) users concerning associated information security controls and risks established in a public hospital. This work measures ISB using a complete measuring scale and explains the relevant influential factors from the perspectives of Protection Motivation Theory (PMT) and General Deterrence Theory (GDT) Background: Internal users are the primary source of security concerns in hospitals, with malware and social engineering becoming common attack vectors in the health industry. This study focuses on HIS user behavior in developing countries with limited information security policies and resources. Methodology: The research was carried out in three stages. First, a semi-structured interview was conducted with three hospital administrators in charge of HIS implementation to investigate information security controls and threats. Second, a survey of 144 HIS users to determine ISB based on hospital security risk. Third, a semi-structured interview was conducted with 11 HIS users to discuss the elements influencing behavior and current information security implementation. Contribution: This study contributes to ISB practices in hospitals. It discusses how HIS managers could build information security programs to enhance health professionals’ behavior by considering PMT and GDT elements. Findings: According to the findings of this study, the hospital has implemented particular information security management system (ISMS) controls based on international standards, but there is still room for improvement. Insiders are the most prevalent information security dangers discovered, with certain working practices requiring HIS users to disclose passwords with others. The top three most common ISBs HIS users practice include appropriately disposing of printouts, validating link sources, and using a password to unlock the device. Meanwhile, the top three least commonly seen ISBs include transferring sensitive information online, leaving a password in an unsupervised area, and revealing sensitive information via social media. Recommendations for Practitioners: Hospital managers should create work practices that align with information security requirements. HIS managers should provide incentives to improve workers’ perceptions of the benefit of robust information security measures. Recommendation for Researchers: This study suggests more research into the components that influence ISB utilizing diverse theoretical foundations such as Regulatory Focus Theory to compare preventive and promotion motivation to enhance ISB. Impact on Society: This study can potentially improve information security in the healthcare industry, which has substantial risks to human life but still lags behind other vital sector implementations. Future Research: Future research could look into the best content and format for an information security education and training program to promote the behaviors of healthcare professionals that need to be improved based on this ISB measurement and other influential factors.

Aim/Purpose: This paper applies informing science principles to analyze the evolution of United States (U.S.) healthcare delivery, exploring how policy shifts, technological advancements, and changing practices have transformed informing processes within this complex system. By examining healthcare delivery through a transdisciplinary lens, we aim to enhance the understanding of intricate informing environments and their dynamics. Background: The U.S. healthcare system epitomizes a complex, evolving transdisciplinary domain intersecting information systems, policy, economics, and public health. Recent transformations in stakeholder information flow necessitate an informing science perspective to comprehend these changes fully. Methodology: We synthesize literature on U.S. healthcare delivery changes, employing informing science frameworks such as Cohen’s “informing environment” concept to analyze the evolution of healthcare informing processes. Contribution: This study expands informing science theory by examining how changes in a complex transdisciplinary system impact information flow, decision-making, and stakeholder interactions. The results provide insights into challenges and opportunities within evolving informing environments. Findings: Our analysis reveals significant alterations in the U.S. healthcare informing landscape due to policy, regulatory, and technological changes. We identify key transformations in client-sender-delivery system relationships, shifts in information asymmetry, and the emergence of novel informing channels and barriers. Recommendation for Researchers: Future studies should develop informing science models capable of capturing the complexity and dynamism of healthcare delivery systems, particularly amidst rapid technological and policy changes. Future Research: Further investigation is needed into how emerging technologies reshape healthcare informing processes and their impact on care quality, accessibility, and cost-effectiveness.

In Italy, the reimbursement provided to healthcare organisations for medical and surgical procedures is based on the diagnosis related group weight (DRGW), which is an increasing function of the complexity of the procedures. This makes the reimbursement an upper unlimited function. This model does not include the relation of the volume with the complexity. The paper proposes a mathematical model for the optimisation of the reimbursement by determining the optimal mix of volume/procedure, considering the relation volume/complexity and DRGW/complexity. The decreasing, linear, and increasing returns to scale have been defined, and the optimal solution found. The comparison of the model with the traditional approach shows that the proposed model helps the healthcare system to discern the quantity of the reimbursement to provide to health organisations, while the traditional approach, neglecting the relation between the volume and the complexity, can result in an overestimation of the reimbursement.

Recent innovations in additive manufacturing (AM) have proven its efficacy for not only the manufacturing industry but also the healthcare industry. Researchers from Cal Poly, San Luis Obispo, and California State University Long Beach are developing a model that will determine the optimal locations for additive manufacturing hubs that can effectively serve both the manufacturing and healthcare industries. This paper will focus on providing an overview of the healthcare industry's unique needs for an AM hub and summarise the specific inputs for the model. The methods used to gather information include extensive literature research on current practices of AM models in healthcare and an inclusive survey of healthcare practitioners. This includes findings on AM's use for surgical planning and training models, the workflow to generate them, sourcing methods, and the AM techniques and materials used. This paper seeks to utilise the information gathered through literature research and surveys to provide guidance for the initial development of an AM hub location model that locates optimal service locations.

While technology is key for digital transformation in healthcare, the human element is equally, if not more, important

The expanded version of its 360° virtual tour provides an immersive, interactive experience to illustrate the vital role of door security and access control in education and healthcare settings.

More than 3 in 4 respondents (77 percent) to HID’s survey believe integrating digital and physical security is crucial for healthcare facilities to combat rising cyber and physical attacks.

When the static electricity in a medical office, examination room or lab is under control, it helps reduce the risks of shocks to personnel, disruption of data, malfunction of sensitive equipment, igniting flammables, and reducing contamination due to electrostatic attraction.

Taylor Adhesives Director of Technical Services Gary Scheidker walks us through the process of bidding a commercial healthcare project from material and product selection to choosing the right installer for the job to maintenance of the flooring after project completion.

The post Ethical, legal, and social issues (ELSI) and reporting guidelines of AI research in healthcare was curated by information for practice.

To explore the factors related to healthcare utilization (both inpatient and outpatient services) among foreign beneficiaries of the National Health Insurance (NHI) in Korea. Read the full article ›

The post Healthcare utilization among foreign beneficiaries of the National Health Insurance program in Korea was curated by information for practice.

Source: Streetwise Reports 10/31/2024

Healthcare artificial intelligence (AI) company Treatment.com AI Inc. (TRUE:CSE; TREIF:OTCMKTS; 939:FRA) announced that it has closed a non-brokered private placement for aggregate gross proceeds of CA$1.95 million.

A total of 2,138,766 special warrants of the company were offered at CA$0.75 per special warrant with proceeds of CA$1.6 million. The company also said 466,666 units of the company were offered at CA$0.75 per unit for proceeds of CA$349,999.50.

The company said it intends to use the proceeds for working capital purposes.

"We are very encouraged by the support from our investors with their overwhelming response to the financing and the subsequent over-subscription," Chief Executive Officer Dr. Essam Hamza said. "This money will help expedite our aggressive growth plans over the next year."

Technical Analyst Clive Maund noted on October 9* that the outlook for the company is "outstandingly bright" because it has "positioned itself to revolutionize the healthcare industry using AI and advanced machine learning technologies."

The company "is set to transform the current archaic system so that no longer do patients have to sit for hours in waiting rooms to see a doctor or doctors, and doctors and other healthcare professionals have to suffer a crushing burden of often unnecessary patient visits and tedious repetitive bureaucracy," he wrote. "Treatment AI's platform will take care of most of it."

Healthcare Professionals Worldwide Contribute to AI Engine

Treatment.com AI said it is a company utilizing AI and best clinical practices with a goal to positively improve the healthcare sector and impact current inefficiencies and challenges.

With the input of hundreds of healthcare professionals globally, Treatment.com AI said it has built a comprehensive, personalized healthcare AI engine called the Global Library of Medicine (GLM). With more than 10,000 expert medical reviews, the GLM is designed to provide tested clinical information and support to all healthcare professionals, as well as providing recommended tests (physical and lab), X-rays, and billing codes.

According to the company, the GLM will help healthcare professionals (doctors, nurses, and pharmacists) reduce administrative burdens, creating more time for face-to-face patient appointments.

"AI is set to expedite and streamline the healthcare industry, making it vastly more efficient for the benefit of both healthcare professionals and patients," Maund noted.

The Catalyst: A 'Profound Transformation' in the Industry

AI has an important role to play in the healthcare offerings of the future, a 2019 report from the National Center of Biomechanical Medicine listed in the National Library of Medicine said. "In the form of machine learning, it is the primary capability behind the development of precision medicine, widely agreed to be a sorely needed advance in care."

Healthcare organizations are increasingly turning to the technology to address both clinical and administrative challenges. The combination of generative AI, as noted by Appinventiv in September, and operational tools like those developed by Treatment.com AI are driving this transformation.

Generative AI is "catalyzing a profound transformation within the healthcare industry" by generating synthetic data, predicting patient outcomes, and optimizing treatment plans, all of which revolutionize clinical decision-making processes, Appinventiv reported. This aligns with Treatment.com AI's announced collaboration with SPRYT on September 17 whereby integrating SPRYT’s AI receptionist "Asa" with its GLM has the goal of enhancing patient access to healthcare while reducing administrative burdens.

A CBC report from September 16 said real-world applications of AI in healthcare are already showing promising results. Dr. Muhammad Mamdani, co-author of a study on the topic, expressed optimism about AI's ability to "complement clinicians' own judgment and lead to better outcomes for fragile patients."

According to a report by Markets and Markets, the global AI in healthcare market in total was valued at US$20.9 billion this year and will reach an estimated US$148.4 billion by 2029, a compound annual growth rate (CAGR) of 48.1%.

"The growth of AI in the healthcare market is driven by the generation of large and complex healthcare datasets, the pressing need to reduce healthcare costs, improving computing power and declining hardware costs, and the rising number of partnerships and collaborations among different domains in the healthcare sector, and growing need for improvised healthcare services due to imbalance between healthcare workforce and patients," the report said.

Analyst: A 'Genuine Breakout Soon' for Stock

Maund said its stock charts are also looking "very positive indeed" for the company.

Of particular note is the big upleg late in June and early in July on persistent heavy volume, which broke the price clear above the May high and drove volume indicators steeply higher," the analyst noted. [OWNERSHIP_CHART-10594]

"This is very bullish price/volume action, especially as the volume indicators have not just held up but have actually advanced as the price has reacted back in a normal manner from the early July high to arrive at a support level where it has stabilized above the 200-day moving average in readiness for renewed advance, so the correction looks like a large bull Pennant that, as it is now closing up, promises renewed advance soon," continued Maund, who said holders should stay long and rated the stock a Strong Buy that "is thought worth going overweight on."

"The June-July rally must be classed as a 'preliminary' breakout," he noted. "But that said, the exceptionally bullish price/volume action of recent months does promise a genuine breakout soon that looks set to lead to a sustained and substantial uptrend."

Ownership and Share Structure

According to Sedi.ca, insiders own approximately 8% of Treatment.com AI. Retail investors own the remaining 92%.

The company has 48.84 million outstanding common shares and has 41.3 million free float traded shares.

As of October 31, the market cap is approximately CA$31.75 million. Over the past 52 weeks, the company traded between CA$0.355 and CA$1.11 per share.

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Important Disclosures:

1. Treatment.com AI has a consulting relationship with Street Smart an affiliate of Streetwise Reports. Street Smart Clients pay a monthly consulting fee between US$8,000 and US$20,000.
2. As of the date of this article, officers and/or employees of Streetwise Reports LLC (including members of their household) own securities of Treatment.com AI.
3. Steve Sobek wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
4. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.
5. This article does not constitute medical advice. Officers, employees and contributors to Streetwise Reports are not licensed medical professionals. Readers should always contact their healthcare professionals for medical advice.

For additional disclosures, please click here.

* Disclosure for quotes from the Clive Maund source October 9, 2024

1. For the quote (sourced on October 9, 2024), the Company has paid Street Smart, an affiliate of Streetwise Reports, US$1,500.
2. Author Certification and Compensation: [Clive Maund of clivemaund.com] is being compensated as an independent contractor by Street Smart, an affiliate of Streetwise Reports, for writing the article quoted. Maund received his UK Technical Analysts’ Diploma in 1989. The recommendations and opinions expressed in the article accurately reflect the personal, independent, and objective views of the author regarding any and all of the designated securities discussed. No part of the compensation received by the author was, is, or will be directly or indirectly related to the specific recommendations or views expressed.

Clivemaund.com Disclosures

The quoted article represents the opinion and analysis of Mr. Maund, based on data available to him, at the time of writing. Mr. Maund's opinions are his own, and are not a recommendation or an offer to buy or sell securities. As trading and investing in any financial markets may involve serious risk of loss, Mr. Maund recommends that you consult with a qualified investment advisor, one licensed by appropriate regulatory agencies in your legal jurisdiction and do your own due diligence and research when making any kind of a transaction with financial ramifications. Although a qualified and experienced stock market analyst, Clive Maund is not a Registered Securities Advisor. Therefore Mr. Maund's opinions on the market and stocks cannot be only be construed as a recommendation or solicitation to buy and sell securities.

( Companies Mentioned: TRUE:CSE; TREIF:OTCMKTS;939:FRA, )

In 2020, surges of covid-19 patients challenged the ability of hospitals to manage the operation of their emergency rooms (ERs).

Over 80 percent of invoicing at Blue Sapphire Healthcare has already gone digital with patients also accepting digital invoices.

GSK Nutritional Healthcare chooses a BT Cloud Contact solution to improve service on vital customer help lines powered by Enghouse Interactive

Care isn’t just part of the name at GSK Nutritional Healthcare. It’s at the heart of its customer help lines. But Ashley Thomas knew that the company’s legacy telephone technology was becoming a bit of a hindrance. Keen to boost customer service with new technology, a review of the market led Ashley to BT Cloud Contact

Hospitals and healthcare systems utilize data to streamline their operations. Through predictive analytics, they can forecast patient admissions, optimize staff scheduling, and manage inventory efficiently. These data-driven insights enhance resource allocation and ensure that healthcare facilities are prepared for fluctuations in demand.

Hospitals, clinics and related medical centers can now choose from four new onsite consulting services introduced by  J. J. Keller & Associates, Inc.

Complimentary webcast on March 21 will cover the most pressing challenges in the Environment of Care and Life Safety.

Empowering Healthcare Through Tailored Software Solutions

Cardinal Digital Marketing to host Scaling Up: The Healthcare Performance Marketing Summit. This two-day virtual event will take place on December 5-6, 2023.

BZBGEAR exhibiting at NAB Show and HIMSS 2023—two of the largest tech-oriented trade shows in their respective industries in the same week.

Experience the company's commitment to delivering reliable cutting-edge AV equipment to enhance healthcare and telehealth environments everywhere.