Tools & Platforms

AI technology is making charting less time-consuming

Published

3 months ago

July 2, 2025

One of the most important yet laborious components of a medical visit for a provider is chart documentation: What is the patient’s concern? What are the provider’s observations and recommendations?

Chronicling every point discussed can take time away from one-on-one interaction between patient and provider, but now a new AI application that is part of an “ambient listening” pilot program is helping physicians at Fred Hutch Cancer Center and UW Medicine streamline the arduous task of clinical note-taking.

As a mobile phone-based product, Abridge AI is built into the Epic electronic health records system used at Fred Hutch. No personal recordings are saved; the resulting notes from patient visits are embedded in Epic.

Twenty Fred Hutch providers are using the Abridge technology along with 20 providers who are part of a control group documenting the visit via computer, tapping away as a patient speaks. The Fred Hutch providers are part of a larger group of 110 UW Medicine providers who are also piloting Abridge. Fred Hutch serves as UW Medicine’s cancer program for adult oncology, and the two organizations are in discussion about eventually expanding the number of users to a larger provider group after the pilot concludes.

“What we’ve observed so far is that we’ve had some really positive results from providers,” said Midori Kondo, a senior director who oversees the digital innovations group at Fred Hutch. “Metrics show providers can use this technology to support their workflow, and many have successfully used Abridge to reduce time in notes and really engage with patients face to face, getting back to the art of medicine. That’s the idea, to get providers back to the patient.”

More face-to-face conversations

All 40 providers fill out the same surveys that assess how much time they spend charting — documenting patient visits — including so-called “pajama time,” which sounds fun but is actually quite the opposite. Pajama time refers to time spent charting on evenings and weekends.

Aggregated survey data show that providers report their quality of life is improved because the tool helps them manage their workload. Because the technology allows providers to spend less time on documentation, they are also freed up to devote time after visits to tasks such as replying to messages and managing refills. Providers using Abridge are reporting that they are enjoying seeing patients more and experiencing less burnout.

“It’s very user friendly,” said Nicole Fleming, MD, deputy chief medical officer at Fred Hutch, who is part of the leadership team evaluating Abridge. “We are speaking more face to face and having natural conversations with our patients.”

At Fred Hutch, providers across different specialties are using the AI tool in clinic as part of a 150-day pilot program wrapping up in July. AI is also incorporated into patient care at Fred Hutch in other ways, including in colonoscopies where GI Genius technology flags suspicious findings. The AI health care field is expanding rapidly; in June, Abridge announced it had raised $300 million in venture capital funding. The Wall Street Journal reported that Abridge is valued at more than $5 billion.

During the pilot, providers using Abridge start by asking for patient consent to record the visit when they enter a patient room. If a patient agrees — and nearly all have — the provider opens the Epic app and pushes record, then sets the phone down. After the visit, the tool transcribes the recording, which is saved temporarily, into a medically formatted note. The note is reviewed and modified by the provider if necessary. Once the provider signs the note, the patient can see it in their MyChart.

The experience is a far cry from the more typical scenario where a provider enters a patient’s room, logs into a computer and types as a patient speaks.

“That has completely gone away because this tool captures all that information and you don’t need to take notes,” said Fleming. “When you’re taking notes, you tend not to write down everything. You always forget a few minor details. What’s wonderful is the tool really does capture everything.”

As with any new technology, there is a learning curve. When performing a physical exam, for example, a provider has to speak their findings and observations out loud so the tool can capture them.

Fleming said she is not aware of any patients who have expressed negative feedback about the technology, although a handful of patients have declined to participate; some say they don’t want to be recorded.

AI tool creates a note documenting a patient visit in less than a minute

For the most part, patient feedback from participants is positive. Bryce Romans, a clinical applications architect at Fred Hutch who works on AI projects, says that patients surveyed have commented that they appreciate more face time with their provider. “At the patient level, they say they feel more listened to and paid attention to rather than having their provider at the computer,” he said.

Fleming estimates that Abridge AI shaves at least 10 minutes off the time required per patient visit and results in a 30% decrease in pajama time for Fred Hutch and UW provider participants.

On average, recorded time per visit is approximately 18 minutes. Once a visit ends and the provider stops recording and clicks “create note,” it takes Abridge AI less than a minute to do so. “It’s remarkable,” said Fleming.

Providers agree that the tool could use improvements in terms of recognizing significant aspects of oncology-specific conversations as part of visit summaries and have shared that feedback with the company, which is working on optimizing the tool in oncology practices.

“Using the technology and me adding in a sentence here or there is still better than having to create that note from scratch,” said Fleming. “It’s not perfect, but the technology will get better over time.”

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Tools & Platforms

AI will define housing in 2025 and beyond

Published

27 minutes ago

September 16, 2025

Lesley Collins

Throughout September, nominations are open for the 2025 Tech Trendsetters award, celebrating the visionaries who spearhead innovation in housing technology.

As HousingWire opens the floor for the 2025 nominations, one clear theme from past winners emerges: the transformative power of artificial intelligence (AI) . From underwriting to compliance and customer experience, AI is reshaping the operations of the mortgage and real estate sectors.

To spotlight this evolution, we reached out to previous Tech Trendsetters for their insights on the technologies set to define the next five years. Here’s what they shared:

“AI-powered automation will fundamentally reshape the mortgage and real estate ecosystem by streamlining underwriting, risk assessment and customer engagement. The goal is to reduce friction and improve accuracy, creating more personalized experiences for everyone involved. The companies that effectively leverage AI to drive these improvements will be the winners in the coming years.” — Lee Maliniak — chief product officer at Matic

“Agentic AI will fundamentally reshape our industry in the next five years. It offers the promise of freeing us up to spend more time and resources delivering custom homebuying journeys powered by autonomous AI agents, designed to address each borrower’s unique situation and needs — and drive greater brand loyalty down the road.” — Praveen Chandramohan — senior vice president of origination growth solutions at Cotality

“Agentic AI. Not another chatbot. A system that takes a goal and executes across tools without handholding. In real estate, that means a listing launch that drafts the brief, builds compliant creative, books the ads, updates the website and schedules follow-ups. In mortgage, it assembles docs, verifies data, prices scenarios and moves the file through conditions. Forget five years — I think we are close to this.” — Lindsay Listanski, national vice president of marketing at Coldwell Banker

“I project that AI will permeate the mortgage space and be leveraged heavily starting with operational efficiency for repetitive tasks and then encompassing lead generation, QC processing, help desk support and compliance. Expect it to heavily shape our industry in transformational ways in the next several years.” — Eric Lyon, SVP and single-family business technology officer at Freddie Mac

“AI-powered underwriting and property valuation will not only accelerate approvals but also improve risk assessment, opening the door for more equitable access to financing. Combined with blockchain-based title and transaction records, the result could be a faster, more transparent and more trustworthy closing process, measured in days instead of weeks.” — Chris Hilliard, CEO at Winnow Solutions LLC

Do you know someone who’s pushing the boundaries of housing technology? Nominations for the 2025 HousingWire Tech Trendsetters are open now through Sept. 30, 2025. Click here to submit.

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Tools & Platforms

How AI is undermining learning and teaching in universities | Artificial intelligence (AI)

Published

35 minutes ago

September 16, 2025

Guardian staff reporter

In discussing generative artificial intelligence (‘It’s going to be a life skill’: educators discuss the impact of AI on university education, 13 September) you appear to underestimate the challenges that large language model (LLM) tools such as ChatGPT present to higher education. The argument that mastering AI is a life skill that students need in preparation for the labour market is unconvincing. Our experience is that generative AI undermines teaching and learning, bypasses reflection and criticality, and deflects students from reading original material.

Student misuse of generative AI is widespread. Claims that AI helps preparation or research is simply cover for students taking shortcuts that do not develop their learning skills. Assessments are widely channelled through ChatGPT, disregarding universities’ usually feeble guidance and rules. Generative AI results in generic, dull and often factually incorrect output.

For example, we asked students to interpret a short article by Henry Ford from 1922. Many answers suggested that the autocratic and racist Ford was developing a “sophisticated HR performance management function for his business” and that he was a “transformational leader”.

In many degree programmes, LLMs have little to no practical value. Their use sabotages and degrades students’ learning and undermines critical analysis and creativity. If we are to make better sense of the impact of AI on work, education and everyday life, we need to be more sceptical and less celebratory.
Prof Leo McCann
Prof Simon Sweeney
University of York

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Tools & Platforms

Workday acquires Sana Labs for $1.1B to upgrade agentic AI work experiences

Published

57 minutes ago

September 16, 2025

Kyt Dotson

Human resources and finance software giant Workday Inc. today announced the acquisition of Sana Labs AB, an artificial intelligence company offering enterprise knowledge and employee training tools, for about $1.1 billion.

Workday also announced new AI agents for HR, finance and industry use cases in its Illuminate platform alongside a new developer platform, including a low-code agent builder that will allow customers to deploy custom AI agents.

Founded in 2016, Sana has focused on developing AI tools to enhance the knowledge and understanding of employees in enterprises. The company’s main products include Sana Learn, a coaching and feedback tool featuring an AI tutor, and Sana Agents, AI-powered knowledge assistants that generate insights and content from enterprise data.

“Sana’s team, AI-native approach, and beautiful design perfectly align with our vision to reimagine the future of work,” said Gerrit Kazmaier, president of product and technology at Workday. “This will make Workday the new front door for work, delivering a proactive, personalized, and intelligent experience that unlocks unmatched AI capabilities for the workplace.”

Sana Learn will be used to complement Workday Learning by adding hyper-personalized skill building to Workday’s already existing learning suite to help employees train faster. Sana Agents provide capabilities beyond traditional chatbots by adding the ability to automate repetitive knowledge tasks and act proactively on users’ behalf. AI agents can streamline day-to-day work by completing mundane tasks such as scanning email for highlights and catching up on reports.

According to Sana, its agents have led to increased time savings and productivity gains. For instance, an unnamed leading American manufacturer achieved up to 95% time savings, while a multinational industrial technology company experienced a 90% increase in productivity.

Workday upgrades its AI agents and work tools

In addition to today’s acquisition news, Workday also announced new AI agents, including a Financial Close Agent and Case Agent, purpose-built for complex business processes like performance reviews, planning and assisting with financial use cases.

The new agents are part of Workday Illuminate, Workday’s AI platform. The company said the new agents are “purpose-built for work,” embedded with their respective industry use cases and powered by deep insights into business data and context.

The company’s new HR agents are designed to help reduce the administrative burden associated with attracting, retaining and engaging talent. According to Workday, these agents will improve the employee experience and allow HR teams to concentrate on strategic initiatives by automating time-consuming processes.

New agents include a Business Process Copilot that automates the setup of new business procedures to reduce manual effort, the aforementioned Case Agent that automates administrative tasks to reduce resolution times for employee needs, an Employee Sentiment Agent that analyzes employee feedback and a Performance Agent that tracks data from enterprise applications to streamline reviews and recommend actions.

To assist finance teams, the company introduced agents specifically designed for reconciliation, testing and planning. These agents help business leaders adapt to changing situations with valuable analysis and improved decision-making capabilities.

These new agents include a Cost and Profitability Agent that allows users to define allocation for costs and revenue based on natural language, a Financial Test Agent that tests financials to detect fraud and enable compliance and the Financial Close Agent that automates the finalization of accounting records to retain accurate financial statements.

For use cases not covered by these agents and Workday’s already existing AI agents, the company today announced Workday Build, a new developer platform that gives customers and partners the power to create and deploy their own AI-powered solutions. It includes Flowise Agent Builder, a low-code tool that makes building agents on the company’s platform simple for both non-technical and advanced users.

“The era of one-size-fits-all enterprise software is over,” said Peter Bailis, chief technology officer at Workday. “With Workday Build, customers go from consuming AI to creating with it, giving them the power to build intelligent solutions directly on their most trusted people and financial data.”

All of these capabilities will be powered by Workday Data Cloud, a new data layer announced today that the company said will connect AI agents to business intelligence and operational systems. In addition, Workday also announced partnerships with Databricks Inc., Salesforce Inc. and Snowflake Inc., permitting zero-copy access to HR and finance data within these data storage platforms.

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