HIMSS Whitepaper: Breaking Up Healthcare’s Data Bottlenecks

Nearly Half of Employees Hide Workplace AI Use, Pointing to a Need for Openness and Policy Clarity

  • Nearly half of employees are entering company-related information into public AI tools to complete their tasks and hiding their AI use, out of fear of seeming lazy, risky, or non-compliant
  • 1 in 10 employees describe AI adoption in their workplace as “the Wild West,” unregulated, unclear, and out of control

LONG BEACH, CALIFORNIA, August 13, 2025 — Laserfiche, the leading SaaS provider of intelligent content management and business process automation, today released new survey findings on AI adoption in the workplace, revealing that nearly half of Americans (49%) who use AI at work keep it to themselves, with 15% deliberately avoiding telling their manager.

As AI tools become more embedded in daily life, the survey reveals a workplace reality that is far less aligned. While many employees are eager to harness AI to boost productivity, inconsistent policies and cultural hesitation are fueling secrecy around AI adoption at work. Employees who are hiding their AI use worry it will be seen as lazy (16%), risky (15%), or out of step with company policy (16%).

A Mixed Workforce Mood

Employee sentiment around AI remains divided. While 21% are optimistic, and 22% say AI already helps them work faster or more efficiently, others are more cautious. Nineteen percent are skeptical, citing concerns about accuracy or misuse, and 13% are anxious or resistant, uneasy about the risks and consequences of incorporating AI into their workflows.

Younger generations are more optimistic about AI at work: 24% of Gen Z and 20% of Millennials say they see its potential but are still learning how to use it, compared to just 10% of Baby Boomers.

A New Frontier — with New Risk

Only one in three employees (36%) say their workplace has clear policies and approved AI tools in place. Meanwhile, 1 in 10 describe their organization’s AI environment as “the Wild West,” an unregulated space where people do what they want.

That lack of structure has consequences. Nearly half of employees (46%) admit to pasting company information into public AI tools, such as ChatGPT or Google Gemini, sometimes without knowing if the content is sensitive or confidential. Many turn to these tools in an attempt to gain a competitive edge (24%) or because their company’s own tools are too limited or hard to use (23%).

Older employees are significantly more cautious about using unofficial AI tools at work: 69% of Baby Boomers and the Silent Generation, and 35% of Gen X, avoid these tools, compared to just 21% of Millennials and 17% of Gen Z.

The Path Forward: Build Culture Before Crisis

These findings highlight a growing AI governance gap. Usage is outpacing policy, and fear is replacing transparency. To solve this, organizations must do more than roll out AI tools. They need to foster a culture where employees feel informed, supported, and aligned on how and when to use them.

“When employees feel like AI is their ‘dirty little secret,’ that’s not a tech problem, it’s a leadership one,” said Karl Chan, CEO of Laserfiche. “Many employees are eager to embrace AI to work but often resort to unofficial tools when company-approved options are too limited or difficult to use. Innovative organizations can meet employee needs and unlock new potential by implementing guidelines, and adopting IT-vetted, intuitive AI tools that help employees reach productivity goals.”

Methodology

The survey was conducted by Veridata Insights and commissioned by Laserfiche. It included 1,000 U.S.-based individuals aged 18 and over, census-balanced by age and gender.

About Laserfiche
Laserfiche is a leading enterprise platform that helps organizations digitally transform operations and manage their content with AI-powered solutions. Through scalable workflows, customizable forms, no-code templates and AI-enabled capabilities, the Laserfiche® document management platform accelerates how business gets done. Trusted by organizations of all sizes — from startups to Fortune 500 enterprises — Laserfiche empowers teams to boost productivity, foster collaboration, and deliver a superior customer experience at scale. Headquartered in Long Beach, California, Laserfiche operates globally, with offices across North America, Europe, and Asia.

Laserfiche Named a Leader in Nucleus Research Content Services and Collaboration Value Matrix 2025

Laserfiche is a Leader for the 10th consecutive year, ranks highest in usability.

LONG BEACH, CALIFORNIA, JULY 23, 2025 — Laserfiche — the leading SaaS provider of intelligent content management and business process automation — is a Leader in the Nucleus Research Technology Value Matrix for Content Services and Collaboration for the 10th year in a row. Among the vendors evaluated, Laserfiche ranks highest overall in usability. Download a copy of the report here.

“As a leader in this year’s Value Matrix, Laserfiche was rated highest in usability for its AI productivity tools, new administration hub, process automation and integration capabilities,” said Evelyn McMullen, research manager at Nucleus Research and author of the report.
Nucelus Research CSC Technology Value Matrix™ 2025.

CSC as a Strategic Advantage: AI-powered Information Management

Recently released Laserfiche AI-powered features are aimed at boosting productivity even further and enabling automation at scale. Smart Fields, an out-of-the-box intelligent capture tool, allows customers to extract data automatically using natural language instructions, no matter the source or format. Smart Chat provides an intuitive chat interface that enables users to quickly gain insights from their repository content.

“As AI matures at an accelerated pace, vendors in the CSC market have the unique advantage of managing both structured and unstructured data from across the entirety of an organization,” the report’s Market Overview states.

Laserfiche AI features alongside powerful workflow automation, information governance and records management tools create new opportunities for organizational efficiency. Customers across industries use Laserfiche to increase productivity, create competitive advantage and drive growth.

“Laserfiche gives us the forms and workflow processes as well as data integration that enable efficiency at scale,” said Airline Hydraulics Chief Technology Officer Todd Schnirel. “Our Laserfiche-powered process improvements have supported us in achieving a significant increase in net revenue while adding very little operating expense.” 

“Being ranked a leader for 10 consecutive years is a testament to our product innovation,” said Thomas Phelps, senior vice president of corporate strategy and CIO at Laserfiche. “Our top ranking in usability reflects our core value of putting people first and our commitment to delivering intuitive solutions that empower users.”

To learn more about Laserfiche’s position in the Content Services and Collaboration market, download the report here.

About Laserfiche

Laserfiche is a leading enterprise platform that helps organizations digitally transform operations and manage their content with AI-powered solutions. Through scalable workflows, customizable forms, no-code templates and AI-enabled capabilities, the Laserfiche® document management platform accelerates how business gets done. Trusted by organizations of all sizes — from startups to Fortune 500 enterprises — Laserfiche empowers teams to boost productivity, foster collaboration, and deliver a superior customer experience at scale. Headquartered in Long Beach, California, Laserfiche operates globally, with offices across North America, Europe, and Asia. 

SIU Medicine

Pandemic Prompts Medical School to Modernize and Streamline with Laserfiche

Optimize Processes and Bridge Interoperability Gaps with ECM

The digital transformation in healthcare heralded by electronic health records (EHRs) is creating its own challenges. As the industry rapidly adopts advanced technologies, healthcare organizations find themselves drowning in a sea of digital “paperwork.” In turn, the patient information and medical data deluge forms bottlenecks that impede workflows, hinder strategic operational goals and ultimately affect the quality of patient care  —  the opposite of what digital healthcare tools are designed to do.

This administrative burden is felt across the entire healthcare spectrum. Frontline staff are stretched thin, struggling to balance patient care with increased documentation demands. From patient intake to discharge to medical billing and followups, back-office workloads intensify as patient populations require more complex and frequent care. Meanwhile, IT departments grapple with interoperability issues and data management challenges when solutions don’t integrate, resulting in lower returns on chosen technology investments.

Electronic content management (ECM) systems present a powerful solution to these mounting pressures. These digital platforms organize, store and manage medical documents, patient records and other healthcare-related information to improve accessibility, efficiency and compliance within healthcare organizations.

ECM solutions offer a way to modernize outdated methods and bridge the gap between various processes and departments. Leading ECM systems provide the tools to efficiently manage critical patient information and increasing volumes of medical records, enhance operational effectiveness through digital process automation, and maintain compliance with strict regulatory standards.

Healthcare comes to a critical crossroads

The urgent need to find a better way to work is underscored by the U.S. healthcare system’s looming staffing crisis, as an aging population with increasing medical needs is coupled with a shrinking workforce to provide care.

By 2030, Americans over 65 are projected to outnumber children for the first time, driving unprecedented demand. Simultaneously, the country faces a critical shortage of 200,000 nurses and 124,000 physicians, creating a significant gap between patient needs and available care providers.

Compounding this issue is the high burnout and turnover rate among younger healthcare professionals seeking meaningful work who feel their skills are underutilized.

Grace Nam, Strategic Solutions Manager, Healthcare at ECM provider Laserfiche, attributes this attrition to a misalignment of expectations. “While we are preparing for the retirement of baby boomers, we’re also witnessing a rapid exodus of younger generations from healthcare fields because they don’t feel like they are doing what they invested their time and money to do in the workforce,” she said.

Nam identified a key factor in this disillusionment: the disproportionate time many healthcare staff currently spend on repetitive administrative tasks rather than on direct patient care. Across various healthcare settings, data silos and the burden of paperwork are eroding the core motivations that initially drew many to these professions.

In 2023, Laserfiche partnered with the Medical Group Management Association (MGMA) to determine the biggest pain points for healthcare executives and IT leaders seeking solutions to create operational efficiencies within their existing health IT frameworks. Researchers found that, collectively, these key stakeholders wanted solutions that eliminated manual work, mitigated burnout and saved time in key areas like coding, documentation and value-based care.

“End users from front to back offices expressed challenges, especially with extended EHR/EMR processes, that take up too much of their time,” Nam said. “Not only that, but these inefficiencies are causing errors that lead to a few weeks or even a few months of work delays, all because of a simple typo or manual data error.”

Breathing new life into healthcare workforces

Advanced technologies, particularly in areas of automation and data management, can play a crucial role in retention rates for both patients and their providers. ECM solutions in particular offer transformative benefits for healthcare organizations, including:
  • Bridging interoperability gaps, particularly between legacy and niche applications, to improve data consistency across departments for better clinical decision support.
  • Managing unstructured data by integrating disparate data sources, simplifying indexing and chart retrieval and securing data access — all of which speeds up revenue cycle management (RCM).
  • Mitigating workforce shortages and relieving staff burnout by streamlining administrative processes to create a more efficient and supportive work environment.
  • Enhancing patient engagement and loyalty through patient portal integrations that automate patient-centric processes such as billing, invoicing and medical records management.
  • Building digital resilience that ensures continuity of care, even in difficult circumstances.
  • Simplifying HIPAA compliance to support data accuracy and patient privacy with automated audit trails.

Working with or adjacent to EHRs at the heart of today’s healthcare organizations, ECM solutions allow healthcare practices to flourish under challenging conditions and make the most of the large volumes of healthcare data that are now generated daily.

Get the full white paper

Gain more expert advice and insights by downloading the full HIMSS Whitepaper: Breaking Up Healthcare’s Data Bottlenecks.

Healthcare Systemness: A Journey of Collaboration, Automation and Patient Care

The drive to achieve systemness in healthcare is a complex but crucial undertaking. This blog post explores key insights gleaned from a webinar featuring healthcare leaders who discussed the challenges and opportunities associated with creating a more cohesive and efficient healthcare system.

Part 1: The Pillars of Systemness

The first part of the webinar laid the groundwork for understanding systemness. Here are the central themes that emerged:
  • Leadership and Collaboration: Achieving systemness requires a leadership team that prioritizes collaboration between business and IT functions. Everyone involved needs to be working towards the same “North Star” – a vision for a more integrated and efficient healthcare system.
  • Workflow Standardization: Standardizing workflows across different departments and locations is essential for streamlining processes and enabling automation. This may involve overcoming variations in how clinical staff perform certain tasks.
  • Cultural Change: Implementing new technologies is often easier than achieving cultural change. Getting buy-in from clinicians and staff requires clear communication about the benefits of systemness and how it will ultimately improve patient care.
  • Automation for Efficiency: Automation can be a powerful tool for reducing errors and improving efficiency. However, it requires well-documented workflows. Without clear documentation of how tasks are currently performed, automation becomes difficult, if not impossible.

Part 2: Challenges and Strategies on the Road to Systemness

The second part of the webinar delved deeper into the practical challenges of achieving systemness and offered strategies for overcoming them. Here are the key takeaways:
  • Documentation Hurdles: A significant challenge is the lack of standardized documentation for clinical workflows. This makes it difficult to automate tasks and integrate data across different systems.
  • Building Trust and Collaboration: Successful systemness initiatives require trust and collaboration between IT and clinical teams. IT needs to understand the needs of clinicians, and clinicians need to be open to new ways of working.
  • The Power of User Engagement: Clinicians are more likely to embrace new technologies if they are involved in the design and implementation process. IT departments should actively seek feedback from clinicians and address their concerns.
  • Data Quality and Automation: Clean and standardized data is essential for successful automation and machine learning applications in healthcare. Technologies like AI can be used to capture handwritten documents and improve data quality.
  • The Challenge of Merging Systems: Mergers and acquisitions in healthcare can create challenges when different Electronic Medical Records (EMRs) need to be integrated. Standardizing workflows across these disparate systems is crucial for achieving a unified patient experience.

The Road Ahead

The path towards systemness in healthcare is ongoing. However, the benefits are undeniable – improved patient care, reduced costs, and increased staff satisfaction. By fostering collaboration, embracing new technologies and focusing on data quality, healthcare organizations can move closer to a future where a seamless and efficient system of care is the norm.

Beyond the Blog:

This blog post provides a brief overview of the key points discussed in the webinar. The complete webinar offers a richer and more nuanced discussion. Consider watching the full webinar to gain a deeper understanding of the challenges and opportunities associated with achieving systemness in healthcare.Watch the webinar: Leveraging Integration and Automation to Drive Towards Systemness.

Process automation cuts costs, fills gaps at SIU med school

Southern Illinois University’s School of Medicine points to software cost avoidance and the ability to supplement SaaS products as benefits of its process automation approach.

How AI Is a Game Changer for Healthcare Data Management

The rise of medical records and data creates a burden for healthcare organizations in the form of increased costs, manual labor and operational challenges.

AI impacts critical healthcare areas such as process mining, clinical data management, and front-office, mid-office, and back-office operations —all of which play a key role in managing patient information and providing better care.

Here’s How AI is Making a Difference in Healthcare Data Management
  • Data Management: AI is a critical tool for managing massive volumes of healthcare data. It automates tedious tasks like data entry and analysis, freeing up valuable time for medical professionals. This not only improves staff efficiency, but also minimizes the risk of errors with manual data entry.
  • Improved Insights: By analyzing vast amounts of patient data, AI can uncover hidden trends and patterns that inform better treatment decisions. This paves the way for personalized care, tailoring treatment plans to each patient’s unique needs and medical history.
  • Streamlined Operations: AI improves how organizations automate repetitive tasks like appointment scheduling, billing, and prior authorization approvals. This frees up staff for more crucial duties, reduces wait times for patients, and increases efficiency and cost-effectiveness.

Key Areas of Focus for Healthcare Organizations—and How AI Is Impacting Them

Interoperability: The key to successful digital transformation in healthcare is interoperability. This refers to the seamless exchange of accurate patient information between different departments and systems.  By ensuring data flows smoothly, AI can unlock the true potential of healthcare data exchange. This not only improves operational efficiency, but also enhances the experience for both patients and staff.

Revenue Cycle Management (RCM): the process of tracking and managing the lifecycle of financial transactions associated with patient care is crucial to a healthcare organization’s operations. However, lack of standardization across patient information and medical records, as well as time-intensive back-office manual processes, can be a strain on healthcare organizations. AI enhances process automation and data extraction to eliminate manual data inputs across medical billing, prior authorization approval and claim processes, eliminating errors that delay payments and burden healthcare staff.

Value-based Care: The shift towards value-based care, where healthcare providers are rewarded for patient outcomes rather than the quantity of services provided, requires a holistic view of a patient’s health journey. AI helps by seamlessly managing real-time datasets between systems, physicians, and internal/external clinicians. This comprehensive view allows providers to see the full picture – all sources and history of a patient’s clinical data and treatment patterns. This enables providers to make informed decisions, personalize treatment plans and deliver more effective value-based care for patients.

How Can AI Solve Digital Transformation Challenges in Healthcare?

A Lack of Automation in RCM

One of the biggest challenges healthcare faces is streamlining the often-manual and error-prone Revenue Cycle Management (RCM) process. This translates to inefficiencies in:
  • Prior authorization and eligibility checks: Verifying insurance coverage and obtaining approvals for procedures can be a time-consuming and frustrating process.
  • Insurance claim scrubbing and submissions: Manually submitting claims and ensuring they are coded correctly is prone to errors and delays.
  • Insurance denials management and appeals: Dealing with denials and appeals is a complex and resource-intensive task.
  • Medical coding and payment collections: Assigning accurate medical codes and collecting payments from patients requires significant manual effort.
  • Provider credentialing: The process of verifying a healthcare provider’s qualifications can be lengthy and bureaucratic.

AI helps by offering a suite of capabilities to support healthcare providers:
  • Streamlining patient data management: AI can integrate various data sources, including patient information and medical records, into the Electronic Health Record (EHR) system. This creates a comprehensive view of a patient’s health history.
  • Automating patient communication: AI can automate tasks like appointment scheduling and sending post-operative reminders, freeing up staff time for more critical duties.
  • Generating medical insights: AI can analyze patient data to generate insights that can be used for diagnostics and treatment planning.
  • Improving clinical decision-making: AI can analyze large datasets of clinical data to identify patterns and trends that can inform better treatment decisions.
  • Accelerating drug discovery: AI can analyze vast amounts of data to expedite drug discovery and development, leading to faster breakthroughs in medical science. AI can also help predict treatment outcomes and track development plans, ensuring compliance with regulatory requirements.

The Need to Reduce Operational Costs
  • Optimizing medical records management: AI facilitates secure and centralized storage of medical records, enabling authorized staff to access information quickly and efficiently, while adhering to HIPAA regulations. Automation can also streamline record lifecycles, minimizing manual work and potential compliance fines.
  • Enhancing healthcare data exchange: AI can easily capture and integrate various types of patient data, including demographics, insurance information, and medical records. This not only ensures accurate data processing, but also allows for quick retrieval of information. AI streamlines administrative tasks, freeing up staff time previously spent handling large volumes of medical documents.
  • Transforming the patient and staff experience: AI can automate tasks like appointment scheduling and information access, empowering patients to take a more active role in their healthcare journey. Additionally, AI can automate the linking of information across different healthcare systems, allowing for smoother referrals, lab integrations, and overall improved patient experience. For staff, AI streamlines provider credentialing processes and automates data management across patient information and revenue management systems, reducing administrative burdens.

Overall, AI is revolutionizing healthcare by improving data management, enhancing task automation, and providing valuable data insights. This leads to better care for patients, reduced costs for organizations, and improved efficiency across healthcare organizations.

Want to learn more about digital transformation trends in healthcare? Download the white paper, Intelligent Automation in Healthcare — What Motivates Investments in the Next Generation of EHR Integrations.

Learn how Laserfiche AI is transforming enterprise content management—enabling organizations to increase efficiency, enhance data privacy and security, and do deeper analysis of their unstructured data.

Cost-Efficiency, ML and Interoperability — Laserfiche Predictions for Manufacturing and Healthcare in 2024

At Laserfiche we’re always looking forward. We also know that industries like manufacturing and healthcare are continuously searching for new ways to address their industry’s unique challenges.

That’s why in the new year, we asked one of our resident industry experts — Grace Nam, Strategic Solutions Manager: Manufacturing and Healthcare — to make predictions about what innovations and ideas healthcare organizations and manufacturing firms are going to prioritize in 2024.

Healthcare organizations will leverage new technologies to innovate and reduce costs:
  • Trends in healthcare technology in 2024 will heavily focus on cost-effective solutions, specifically in Finance/RCM areas, to drive operational efficiency and increase workforce satisfaction.  AI-enhanced workflow tools will be used to enhance existing processes and better leverage data to become more efficient and solve legacy industry challenges such as staffing burnout and the lack of harmonization for healthcare operations.

  • Interoperability and artificial intelligence will play a large role in the innovation of healthcare technology in 2024 and will be necessary to control the rising needs in healthcare data management and analytics, specially in the clinical field. By allowing AI-enhanced workflow, organizations can implement better data exchange between processes and immediately deliver results in cost and time savings, while significantly improving staff and patient satisfaction.
     
  • AI tools will be utilized to enhance current healthcare technologies, further expand the capabilities of automation and streamline day-to-day operations. As personal value-based care will continue to grow in 2024 and it will be critical for healthcare providers to create digital access to support in-person and telehealth visits in order to maximize outcomes for both healthcare organizations and patients while driving consistent operational efficiency. 

Manufacturing will utilize AI and other technologies to achieve improved interoperability:
  • In 2024, more manufacturing companies will integrate artificial intelligence and machine learning to address high-cost functionalities with compliance documentation and interoperability issues between software and technologies. By utilizing process automation and enhancing data processing speed, manufacturers can increase operational efficiency and reduce costs with improved systems while achieving business agility and scalability. 

  • We can expect greater adoption of digitization and process integration by manufacturers in 2024. These solutions will allow manufacturers to make critical decisions in a timely manner, prioritize high-cost challenges, and control compliance. Additionally, more manufacturers will make significant investments in AI, ML and integrations in order to address delays in production, document and data control, inventory management, inspection and shipping. 
  • Manufacturing enterprises are often vast and complex, and in 2024, data exchange and management will be crucial in achieving interoperability. By efficiently using and processing data through the power of automation, manufacturers will be able to create a work environment that not only encourages employee productivity but attracts younger generations of talent. Using digital tools to move data more seamlessly throughout manufacturing systems will be key to boosting ROI in 2024.

Start your digital transformation journey

Want to make an innovative start to 2024? Check out the following resources to learn how ECM can be your organization’s key to newfound efficiencies this year.

Schedule a personalized Laserfiche demo

A complete ECM solution like Laserfiche can help organizations across industries dramatically improve the efficiency of its business processes. See first hand how Laserfiche can be your solution and schedule a demo.

Discover powerful solutions on the Laserfiche Solution Marketplace

Some of the more robust ECM systems, including Laserfiche, offer marketplaces for process templates that organizations in a variety of industries, including manufacturing and healthcare, can use to jumpstart digital transformation initiatives. To learn more about the Laserfiche Solution Marketplace, watch the video below:

 

Gain new insights with our latest industry white papers

Check out this healthcare industry whitepaper to learn more about the role intelligent automation is playing in the industry.

In addition, our manufacturing whitepaper can be a useful resource for firms looking to further protect their production pipelines from disruptions.

Check out the G2 Grid® for Enterprise Content Management (ECM)

Comparing ECM systems? Compare the top vendors in the space with the G2 Grid® for Enterprise Content Management (ECM):
G2 Grid® for Enterprise Content Management (ECM) Systems

Intelligent Automation in Healthcare: What Motivates Investments in the Next Generation of EHR Integrations

In an era of evolving technology and limited staffing resources, the question of automating or optimizing workflows to reduce repetitive work within medical practices is a matter of “how” and when.”

Healthcare leaders feeling the pressures of a competitive labor market and stagnant reimbursement rates report they are not prepared to make a switch to a new EHR or practice management (PM) system in the coming years, but they do find value in the elimination of manual work when they invest in new platforms to save operational costs.

Laserfiche, the leading SaaS provider of enterprise content management and business process automation, partnered with Medical Group Management Association (MGMA), in 2023 to better understand the opportunities and challenges for medical practice leaders in evaluating their platforms for workflow, electronic forms, document and records management and more.

In May 2023, Laserfiche and MGMA surveyed medical practice administrators, physicians, billing and coding leaders and health information technology (HIT) workers for their views on EHR and PM systems, business automation and more to understand:
  • What is their current level of satisfaction with these systems?
  • What improvements are these healthcare leaders looking for in new platforms?
  • What are their priorities when looking to invest in new platforms or integrations?

Three big Ws: who, what and where

To understand the survey respondents’ overall satisfaction and willingness to embrace new platforms or integrations, we must start by assessing their current systems:
Results from survey asking respondents what their primary EHR platform was at the time. For a recent EHR market share report reflective of the full hospital space, read the May KLAS Research report.
  • More than three-quarters (77%) of respondents reported that Epic is their primary EHR platform, with another 15% on Cerner or Athenahealth, about 8% on CPRS, eCW or Allscripts, and another 4% who responded “other.”
  • More than eight in 10 (82%) respondents come from large organizations of more than 100 full-time-equivalent physicians.
  • Hospitals or university hospitals made up the largest share of respondents by organization type (43%), followed by integrated health/delivery systems (24%) and medical group practices (23%), with the remaining 11% comprised of other academic medical settings, federally qualified health centers (FQHCs), rural health clinics (RHCs) or “other.”

Rating current platform performance: a mixed bag

Almost four-fifths (79%) of surveyed healthcare professionals gave their current EHR system a “very good” or “good” rating on overall performance, though no single attribute of their EHR system rated as highly as that broad assessment:
Results from survey asking respondents to rate their current EHR system.
  • Data interoperability (64%) and value-based arrangement support (57%) were the top two specific ratings for “very good”/“good” performance behind the overall performance rating.
  • When rated for ability to eliminate manual work, the “very good”/“good” rating falls by more than 20 percentage points to 56%.
  • “Very good”/“good” ratings were even lower for attributes such as “saving time” (50%), saving money (47%), and mitigating clinician/worker burnout (40%).

Want to learn more?

Download the whitepaper, “Intelligent Automation in Healthcare — What Motivates Investments in the Next Generation of EHR Integrations.”