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AI in healthcare: What business leaders need to know

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Artificial intelligence may seem like a new, untested technology, but the reality is that AI is already integrated into our everyday lives. For instance, Siri, Amazon Alexa and Google Assistant use natural language processing and natural language understanding to analyze and respond to voice commands. Emails and text messages use NLP for predictive text and auto correct.

The rapid development of AI brings with it enormous concerns, especially regarding its applications in healthcare. However, AI is already transforming patient care in positive ways, for example, by making it easier for clinicians to diagnose and treat illness sooner, potentially reducing the need for costly specialized treatment or hospitalization.

Read more:  Sick of answering the same benefits questions from employees? Let AI do the work

Chronic condition management and early detection

While clinical judgment by an actual human is still critical to ensuring patients receive the best possible care, AI can support clinicians and their decision-making by providing a more complete view of patient health.

For instance, radiologists are now using AI to more accurately analyze X-rays, MRIs, CT scans and mammograms. AI’s sensitivity to distinguish slight changes from image to image can help detect chronic diseases earlier and more accurately. In one study, researchers found an AI system could predict diagnoses of Berger’s kidney disease more accurately than trained nephrologists. In an attempt to slow the progression of kidney disease among veterans, such as Berger’s disease, the Veterans Administration partnered with DeepMind, an AI research lab, to identify risk predictors for patient deterioration and alert clinicians early. DeepMind developed an AI model based on electronic health records from the Veterans Administration that identified 90% of all acute kidney injuries that required subsequent dialysis, with a lead time of up to 48 hours. 

Earlier intervention in the case of Berger’s disease and other kidney conditions significantly impacts the economic burden of the disease, potentially saving plan sponsors between $276.80-$480.79 per member per month. 

Read more:  AI can help benefit leaders with the compensation process

Automating administrative tasks

One of AI’s greatest assets is its ability to quickly assess large volumes of data to optimize clinical and administrative time. Medical practices are utilizing AI-enabled technology to improve administrative efficiency and patient care. Automated documentation tools can reduce the time physicians spend on patient charting by 72%, which means physicians can spend more time treating and diagnosing plan members. AI can also integrate with electronic health records to pull relevant data, identify missing information and complete and submit prior authorization forms on behalf of providers.

Administrative expenses account for 15% to 25% of total healthcare expenditures. Reducing administrative overhead and claims errors, along with early diagnosis and treatment of chronic disease, can improve member outcomes and produce impressive cost savings for plan sponsors. AI has the potential to save $265 billion in overall healthcare costs by eliminating administrative overhead and documentation errors.

AI’s ability to process vast quantities of data also benefits health plan administrators. Plan sponsors can implement AI tools that provide members with personalized treatment and support, identify health plans during enrollment that best fit specific member needs and determine additional benefits for members and their families. 

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Overcoming barriers to adoption

Despite its potential to reduce healthcare costs, improve patient outcomes and improve member experience, AI adoption is still slow. The initial investment required to implement AI can be high, and it includes the cost of the technology, staff training, system integration and maintenance of AI models, not to mention potential liability concerns. 

When considering utilizing AI for the purposes of improving efficiency and outcomes, organizations in the healthcare industry are: 

  • Analyzing how AI solutions can support their population, and which modalities are likely to be (or have proven to be) successful
  • Consulting with internal stakeholders from the beginning to identify potential challenges to adoption
  • Evaluating potential cost savings and member outcomes
  • Considering the quality and source of data used to train AI models
  • Ensuring AI tools meet HIPAA requirements

AI in healthcare is no longer an idea of the future. It is here and already making significant improvements in patient outcomes. However, AI is dependent on data quality and clearly defined learning parameters to eliminate potential bias and make accurate predictions. Organizations must also weigh other risks associated with AI, such as informed consent issues that may arise if patients do not fully understand how their information is being used.



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An Analysis of Size, Shares, Business

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Conversational AI Market

The conversational AI market is estimated to be valued at USD 13.08 Bn in 2025 and is expected to reach USD 55.11 Bn by 2032, growing at a compound annual growth rate (CAGR) of 22.8% from 2025 to 2032.

Latest Report, titled “Conversational AI Market” Trends, Share, Size, Growth, Opportunity and Forecast 2024-2031, by Coherent Market Insights offers a comprehensive analysis of the industry, which comprises insights on the market analysis. The report also includes competitor and regional analysis, and contemporary advancements in the market.

The report features a comprehensive table of contents, figures, tables, and charts, as well as insightful analysis. The Conversational AI market has been expanding significantly in recent years, driven by various key factors like increased demand for its products, expanding customer base, and technological advancements. This report provides a comprehensive analysis of the Conversational AI market, including market size, trends, drivers and constraints, competitive aspects, and prospects for future growth.

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The report sheds light on the competitive landscape, segmentation, geographical expansion, revenue, production, and consumption growth of the Conversational AI market. The Conversational AI Market Size, Growth Analysis, Industry Trend, and Forecast provides details of the factors influencing the business scope. This report provides future products, joint ventures, marketing strategy, developments, mergers and acquisitions, marketing, promotions, revenue, import, export, CAGR values, the industry as a whole, and the particular competitors faced are also studied in the large-scale market.

Overview and Scope of the Report:

This report is centred around the Conversational AI in the worldwide market, with a specific focus on North America, Europe, Asia-Pacific, South America, Middle East, and Africa. The report classifies the market by manufacturers, regions, type, and application. It presents a comprehensive view of the current market situation, encompassing historical and projected market size in terms of value and volume. Additionally, the report covers technological advancements and considers macroeconomic and governing factors influencing the market.

Key Players Covered In This Report:

Google, Microsoft, Amazon Web Services, Inc., IBM, Oracle, Nuance Communications, Inc., FIS, SAP SE, Artificial Solutions, Kore.ai, Inc., Avaamo, Conversica, Inc., Jio Haptik Technologies Ltd., Rasa Technologies Inc., Solvvy, Pypestream Inc., Kasisto, Cognigy, MindMeld, and Creative Virtual

This Report includes a company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breath, application dominance, technology lifeline curve. The data points provided are only related to the company’s focus related to Conversational AI markets. Leading global Conversational AI market players and manufacturers are studied to give a brief idea about competitions.

Key Opportunities:

The report examines the key opportunities in the Conversational AI Market and identifies the factors that are driving and will continue to drive the industry’s growth. It takes into account past growth patterns, growth drivers, as well as current and future trends.

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Highlights of Our Report:

⏩Extensive Market Analysis: A deep dive into the manufacturing capabilities, production volumes, and technological innovations within the Conversational AI Market.

⏩ Corporate Insights: An in-depth review of company profiles, spotlighting major players and their strategic manoeuvres in the market’s competitive arena.

⏩Consumption Trends: A detailed analysis of consumption patterns, offering insight into current demand dynamics and consumer preferences.

⏩Segmentation Details: An exhaustive breakdown of end-user segments, depicting the market’s spread across various applications and industries.

⏩ Pricing Evaluation: A study of pricing structures and the elements influencing market pricing strategies.

⏩ Future Outlook: Predictive insights into market trends, growth prospects, and potential challenges ahead.

Why Should You Obtain This Report?

➥ Statistical Advantage: Gain access to vital historical data and projections for the Conversational AI Market, arming you with key statistics.

➥ Competitive Landscape Mapping: Discover and analyze the roles of market players, providing a panoramic view of the competitive scene.

➥ Insight into Demand Dynamics: Obtain comprehensive information on demand characteristics, uncovering market consumption trends and growth avenues.

➥ Identification of Market Opportunities: Astutely recognize market potential, aiding stakeholders in making informed strategic decisions.

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Questions Answered by the Report:

(1) Which are the dominant players of the Conversational AI Market?

(2) What will be the size of the Conversational AI Market in the coming years?

(3) Which segment will lead the Conversational AI Market?

(4) How will the market development trends change in the next five years?

(5) What is the nature of the competitive landscape of the Conversational AI Market?

(6) What are the go-to strategies adopted in the Conversational AI Market?

Author of this marketing PR:

Alice Mutum is a seasoned senior content editor at Coherent Market Insights, leveraging extensive expertise gained from her previous role as a content writer. With seven years in content development, Alice masterfully employs SEO best practices and cutting-edge digital marketing strategies to craft high-ranking, impactful content. As an editor, she meticulously ensures flawless grammar and punctuation, precise data accuracy, and perfect alignment with audience needs in every research report. Alice’s dedication to excellence and her strategic approach to content make her an invaluable asset in the world of market insights.

Coherent Market Insights Pvt Ltd,

533 Airport Boulevard,

Suite 400, Burlingame,

CA 94010, United States

About Us:

Coherent Market Insights leads into data and analytics, audience measurement, consumer behaviours, and market trend analysis. From shorter dispatch to in-depth insights, CMI has exceled in offering research, analytics, and consumer-focused shifts for nearly a decade. With cutting-edge syndicated tools and custom-made research services, we empower businesses to move in the direction of growth. We are multifunctional in our work scope and have 450+ seasoned consultants, analysts, and researchers across 26+ industries spread out in 32+ countries.

This release was published on openPR.



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Yorkshire Water announces hosepipe ban after driest spring in 132 years | Water industry

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Yorkshire Water has introduced hosepipe restrictions after the region recorded its driest spring in 132 years.

Yorkshire received just 15cm of rainfall between February and June, less than half of what is expected in an average year, pushing the region to an official drought status.

Its reservoirs are 55.8% full, which is 26.1 percentage points lower than what they would normally be at this time of year.

Dave Kaye, the director of water at Yorkshire Water, said action was necessary now to “help conserve water and protect Yorkshire’s environment”.

“From Friday this week, people across Yorkshire will need to stop using their hosepipes to water their gardens, wash their cars or for any other activities. Introducing these restrictions is not a decision we have taken lightly, and we’ve been doing everything we can to avoid having to put them in place,” he said.

The restrictions will come into force on 11 July. They will stop people from using a hosepipe to water gardens, wash private vehicles, fill domestic pools or clean outdoor surfaces.

People can still wash their car and water their gardens using tap water from a bucket or watering can. Businesses can use a hosepipe if it is directly related to a commercial purpose.

Mark Lloyd, the chief executive of the charity the Rivers Trust, said further hosepipe restrictions are likely to come in other areas of the country.

“Sadly, the measures will also probably include drought permits that allow the company to take more water from rivers than normal, which will have severe impacts on river wildlife which is already struggling,” he said. “It will be very surprising if other companies don’t have to follow suit unless the weather changes dramatically.”

The supplier, which serves 5 million customers across Yorkshire and parts of north Lincolnshire and Derbyshire, is owned by Kelda Group.

Yorkshire Water paid £37.5m dividends for the six months to 30 September 2024 to its parent, up from £17.7m during the same period in 2023. The company paid £84.1m in dividends within its group structure in its latest full financial year. The dividends were not distributed to external shareholders.

Last year the chief executive and chief financial officers at Yorkshire Water were handed a combined £616,000 in bonuses for a year in which thousands of its customers were affected for weeks by a burst water pipe.

Under new powers in Labour’s Water (Special Measures) Act 2025, the regulator, Ofwat, can ban bonuses for water executives where a company fails to meet key standards on environmental and financial performance, or is convicted of a criminal offence.

Under the rules, six water providers – including Thames Water, Southern Water, United Utilities, Wessex Water, Anglian Water and Yorkshire Water – were banned from paying “unfair” bonuses to their executives this year.

The boss of Yorkshire Water said she had decided to turn her bonus down this year, before the legislation was introduced. Nicola Shaw, who accepted a £371,000 bonus last year, said it would “not be appropriate” to accept the payment this year, acknowledging that the supplier needed to “do better” on tackling pollution.

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It comes as customers must pay higher water bills until the end of the decade, to help fund investment in better water and sewage infrastructure. The average annual bill for Yorkshire Water is £430, according to Ofwat, and is expected to rise by 35% by 2030.

Last month Yorkshire officially moved to drought status after a prolonged period of low rainfall. In May, north-west England also entered drought status, as reservoir levels fell to half their capacity. Much of the rest of the country is in prolonged dry status, which is the step before drought.

Consumers across England have been asked to conserve water as summer begins amid low river flows, groundwater levels and reservoir levels.

The regions at most risk of running out of water at the moment are those which rely largely on reservoirs rather than groundwater.

This is because the wet autumn and winter of 2024-25 allowed for the aquifers – the water below ground – to recharge. This means southeastern areas, which have good aquifers, are in a better position now than those in the Midlands and north of the country.

However, more dry weather could cause the aquifer levels to begin to dwindle as well.

When water supplies run dry, companies often apply for river abstraction licences. But rivers across the country, except in parts of the north-west, are at exceptionally low levels, so any further abstraction would pose a risk of great ecological harm.

Water companies have been criticised in past droughts for not implementing hosepipe bans quickly enough, and accused of not doing so because bosses were too concerned about affecting customer satisfaction scores, which influence their rating with the regulator. As of this year, this rating now dictates whether chief executives can get a bonus.



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