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Healthcare Operations Summit 2025
Change Management & Technology Can Help Resolve Long-Standing Operational Challenges

author - Niel Oscarson
Author
Niel Oscarson
author - Paul Warburton
Author
Paul Warburton
 
December 19, 2025 | Read Time: 15  minutes

Many healthcare organizations are caught in a vicious cycle: Their operations suffer due to financial constraints and limited resources, and because of those challenges, they struggle to make changes that would improve operations. More than ever, change management and technology can help organizations streamline operations and maximize resources. This opportunity was the impetus of KLAS’ second annual Healthcare Operations Summit, held in Salt Lake City, UT, in November 2025. At this event, executive representatives from nearly 60 US healthcare organizations, HIT vendors, and consulting firms came together to discuss (1) ways that change management and technology can help overcome operational challenges and (2) best practices from organizations who have successfully improved their operations. This summit overview shares key insights from those discussions as well as from a pre-summit survey.

information iconPrior to the summit, 22 healthcare executives responded to a survey with several questions related to healthcare operations.

top operational challenges

CHANGE MANAGEMENT & OPERATIONAL PROCESSES

Strong Change Management Is at the Heart of Successful Operations

Healthcare organizations are under increasing pressure to deliver high-quality care while reducing operational costs and complexity. Further, they need to increase operational efficiency without overwhelming their clinicians. Most organizations are being asked to do these things while also dealing with staffing shortages—in the pre-summit survey, all respondents noted a lack of resources as a top operational challenge.

At the summit, provider and vendor leaders emphasized the importance of change management—where organizational processes, culture, governance, and technology intersect—in mitigating these challenges. Poor change management has contributed to many of the operational challenges that the industry currently faces. In contrast, intentional change management leads to strong implementations, ensuring success with new operational processes or technologies.

quote icon“The hardest part [of operations] is not the technology—it’s the people. —Provider attendee

Ways to Improve Change Management

one iconImplementation resources: Insufficient resources are a key operational challenge, but to avoid more challenges down the road, healthcare organizations need to ensure they have enough resources to support their staff through implementations.

two iconExecutive sponsorship: Another important element of change management is having an executive sponsor who is available to help and can speak on broader organization changes and pilots. This helps ensure that departments only do pilots that fit within the organization’s strategies. Executive sponsors should also engage midlevel leaders and establish regular meetings to communicate progress.

three iconImplementation playbook: Organizations should create an implementation playbook to make change management more successful for their employees. The playbook should establish key principles to govern current and future IT investments.

four iconCommunications: Employees often feel overloaded during changes because they have to deal with disconnected communications channels, many of which are outdated and don’t yield quick insights. Push-style notifications, text messages, QR codes, and real-time chatbots are more effective avenues that facilitate faster communications.

five iconStandardization and governance: Within an organization, different groups can operate like individual fiefdoms with their own unique processes. This lack of standardization limits performance visibility and consistency across the enterprise. Role and process standardization enables stronger analytics, retention risk tracking, and scalability.

actions that can improve operational efficiency

Change Management for AI

Not all healthcare staff is ready for or even excited about AI, making them resistant to the implementation of AI-driven processes. To build trust and increase user adoption, organizations should include clinicians and other end users in the design of AI processes alongside IT engineers.

Process changes that can increase the success of AI pilots:

  • Establish the current reality and success metrics
  • Include finance teams early so ROI goals are credible and measurable
  • Expect some pilots to underdeliver until they have scaled
  • Appropriately plan team capacity to avoid resource strain
  • Define which efforts are foundational versus transformational

For more information on using AI for operational processes, see the “AI & Operational Efficiency” section further down.

Operational Processes Need to Be Enhanced Before Using Technology to Mitigate Challenges

top workforce challengesProvider and vendor leaders agree that as organizations focus on strong change management for operational efficiency, operational processes need to be fixed first; technology can be a catalyst for improvement but only when paired with clean data, standardized processes, and cultural alignment. This section highlights where summit attendees see the greatest opportunities to refine operational processes.

Challenges That Inhibit Operational Efficiency & Best Practices for Mitigating Them

challenge iconChallengebest practice iconBest practice
Recruitment of new hires
challenge iconFactors that greatly limit effective hiring are skill mismatches, candidate no-shows, and overwhelming technology.best practice iconInsights from predictive analytics and AI can help organizations forecast staffing needs and ensure they market roles to tech-savvy candidates.
Employee retention
challenge iconInconsistent employee recognition and resistance to change often lead to increased turnover rates.best practice iconTo increase employee retention, people need to feel seen. Creating an engaging work environment with high trust can address employees’ psychological needs, and when effectively rolled out, recognition programs can often improve retention better than just increased compensation. Use employee/peer recognition tools (e.g., Snappy) and transparent scheduling to give staff control over their jobs and encourage them to lift others.
Employee burnout & satisfaction
challenge iconBurnout is caused by many factors, including a lack of structured recovery time for employees.best practice iconHealthcare leadership has a responsibility to step in and create structures to support employee self-care. Provider attendees reported that they successfully reduced burnout by limiting the number of shifts clinicians can take and supporting employees’ long-term goals. Programs like AI-based workload tracking and purpose-driven sabbaticals can help support staff well-being.
Worforce scheduling & HR processes
challenge iconScheduling and HR processes can be disjointed or might not account for all relevant factors, leading to employee frustration.best practice iconScheduling processes need to account for patient acuity, discharge timing, and other factors. Effective capacity orchestration also means avoiding conflicts (e.g., overlapping activities, testing, patient intake, discharge) during peak hours. Reducing the number of HR platforms used or moving to a unified HR platform can further streamline the user experience as well as reduce bias and manual data entry errors.

quote icon“Workforce scheduling tends to run based on volume rather than the kinds of patients who are scheduled. Until we can include more nuance in schedules, we will continue to struggle.” —Provider attendee

What Operational Metrics Should Healthcare Organizations Track?

To drive success, organizations need to have a clear understanding of their own operational performance, but it can feel overwhelming to know which metrics should be prioritized. Many organizations use too many metrics to measure their employees and operational efficiency, and further, they often store those metrics in too many different places—preventing broader adoption of these metrics.

During the summit, attendees emphasized the importance of standardizing the number of operational metrics, focusing on the following key metrics:

  • Cost-to-serve per case
  • Supply cost per procedure (and variance)
  • Length of stay and avoidable days
  • Staff productivity, overtime, burnout, and turnover
  • Coding accuracy/denials rates
  • Asset loss and shrinkage
  • Intake cycle time and denials
  • Decision cycle time

OPERATIONAL TECHNOLOGY

Technology Can Provide Strong Outcomes in Key Operational Areas

ways that technology can improve the work experienceTo support their operational processes, healthcare organizations turn to technology solutions that enhance, not complicate, the human work experience. Many provider attendees say they have seen strong ROI from a few key technologies. Most commonly, they report seeing financial outcomes from RTLS tools, improved efficiency and clinician well-being from ambient speech, automated ordering from RPA, and more appropriate bed utilization from patient intake management.

Key Technology Opportunities & Best Practices to Support Operations

action item iconIT stack reduction: Healthcare organizations increasingly prioritize enterprise-first strategies to reduce integration complexity and achieve cost savings; however, they also recognize that no single platform can do everything. The most successful technology strategies focus on platform standardization and selectively include third-party solutions that can (1) offer key innovations, (2) be rolled out quickly, and (3) drive a concrete ROI.

action item iconContinuity of care: Being able to track the whole patient journey is key to delivering quality care. While some healthcare organizations can acquire primary care and post–acute care settings to better facilitate continuity of care, that is not an option for most. Using tools that leverage TEFCA or other networks is a more realistic option for organizations to achieve care continuity. These tools can help by sending event-driven notifications (e.g., for admission, transfer, or discharge) and providing handoff templates. AI can help predict future needs regarding staff and bed capacity.

action item iconHardware/asset tracking: Healthcare organizations need to have visibility into where hardware and other assets are, and establishing a unified tracking feed will help reduce losses. Summit attendees also suggested implementing RFID for high-value items (over $25) and creating a master item list to further increase transparency.

action item iconMaterials management: Several summit attendees, especially those from larger organizations, noted that using technology to streamline materials management is the biggest near-term opportunity for cost savings. By integrating supply chain data into a single ERP solution, healthcare organizations could better identify waste and make needed changes. Many also see materials management as a good use case for AI as it can eliminate preference card variations and compare contract terms year over year.

action item iconCompliance management: Workforce compliance processes are a strength for most healthcare organizations. Looking toward the future, summit attendees see compliance as a low-visibility, high-impact opportunity for automation and are considering AI-enabled systems that can further streamline regulatory complexity.

AI & Operational Efficiency

AI tools have a lot of potential to reduce friction, streamline repetitive tasks, and foster connection within operational processes—especially scheduling, patient intake, documentation, and discharge workflows. Summit attendees emphasized that AI tools need to be grounded in clean data and strong governance and that organizations should prioritize high-impact and high-value use cases.

For example, some attendees reported seeing a very clear ROI from using AI for supply chain. KLAS Arch Collaborative data also shows that ambient speech is very effective at increasing documentation efficiency and reducing clinician burnout (see the following chart).

Despite its potential, AI is still inconsistently adopted, emphasizing the importance of cultural adoption and leadership readiness. Healthcare leaders must be brought into AI pilots early to build consensus, examine the current state, and ensure long-term scalability.

early results from physician adoption of ambient speech

Technology Challenges Center on Fragmented Communications, Data & Job Structures

communication tools iconCommunications tools remain underdeveloped, especially when compared to other workforce technologies (e.g., compliance and quality solutions). Healthcare organizations often struggle with disconnects across employees due to using too many different communication platforms. Summit attendees expressed a strong need for tools that can enhance connection, transparency, and organizational alignment across teams.

fragmented data iconFragmented data remains a major obstacle to operational progress. Organizations have too much data in too many different places, so accessing and sharing needed data (e.g., scheduling, productivity, performance) can be difficult, requiring users to jump between systems to bring everything together. Data lakes, data warehouses, and other data-mapping tools can help solve these issues. Organizations should ensure their data insights can support important decisions about staffing, workload balancing, and resource deployment.

job structure iconJob structures are often inconsistent, leading healthcare leaders at the summit to call for role standardization. Simplified role frameworks would allow IT systems to function more effectively and support workforce scalability.

Healthcare Organizations Want Prescriptive Support from EHR Vendors to Address Technology Challenges & Improve Operational Efficiency

Healthcare organizations need EHR vendors that provide not only strong operational technology but also structured best practices for reducing solution complexity and user burden. Summit attendees emphasized that vendors should focus on helping their customers in the following ways:

action item iconStandardize data fields and workflows: Standardization is becoming more of a priority for healthcare organizations, as customized solutions can delay upgrades, hinder user adoption, and complicate data sharing. EHR vendors should partner with their healthcare customers and other vendors to standardize data fields and workflows so that different systems can still use the same language.

action item iconDesign for workflow efficiency and time savings: Build solutions with a focus on clinician time reduction and task completion rather than clicks or features; eliminate the need for after-hours documentation.

action item iconEstablish open, practical interoperability: Provide robust and well-documented APIs, support computable data (not just CCD dumps), and enable safe bolt-in partner ecosystems. Ensure data export and import processes are simple and won’t lose data.

action item iconProvide best-practice playbooks and benchmarking: Deliver prescriptive configurations, adoption scorecards, and variance insights out of the box and prior to the implementation.

action item iconDevelop agentic AI with guardrails: Create order-entry, coding, and scheduling automations equipped with audit trails, human controls, and measurable ROI instrumentation.

ways that ehr vendors should help improve operational efficiency

FEDERAL IMPACTS ON HEALTHCARE OPERATIONS

Leaders Want Broader Changes That Will Facilitate Operational Efficiency in Healthcare

Leaders from US healthcare organizations and HIT vendors share a common view: Operational improvement is hindered less by limited technology and more by regulatory complexity, fragmented data, and misaligned incentives. They emphasize the need for greater simplicity, standardization, and openness, along with practical ROI measurement and intentional human involvement to guide change. As one participant said, “We need to show ROI and communicate the ROI to the right people.” Leaders want the government to cut through the noise and focus on what matters: Enforce practical interoperability, provide stable funding, and create incentives for platforms and AI that demonstrably reduce friction both at the bedside and in the back office.

Ultimately, culture still determines outcomes, making operational improvement a people and change management challenge. However, with simplified rules, open data, and greater industry awareness and benchmarking, the government can more proactively create a fertile ground for broad operational change.

ways that the government could enable greater operational efficiency

Action Items for the Government

action item iconStreamline regulatory requirements: Reduce overlapping rules (e.g., staffing, 340B), clarify reporting formats, and provide more stable funding to reduce uncertainty (e.g., government shutdown effects on Medicaid).

action item iconEnforce usable interoperability standards: Require computable, standardized data exchange (e.g., open APIs, conformance testing, performance thresholds), not just document-exchange compliance.

action item iconMandate payer/provider data access: Ensure timely sharing of population health and risk data (including Medicare Advantage) to support operations.

action item iconEstablish clear AI policy and validation requirements: Set baseline safety and validation requirements for clinical and operational AI, along with standardized disclosure/audit expectations.

action item iconCreate national surge/operations visibility: Develop a federalized “air-traffic control” process (tied to CMS participation) for bed, staff, and equipment availability that regions can activate during crises.

action item iconStandardize staffing-matrix reporting: Define common formats and compliance rules so hospitals and vendors can align implementations.

SUMMIT ATTENDEES

Healthcare Organizations

Britt Berrett PhD, FACHE, Managing Director & Teaching Professor, Healthcare Leadership, Brigham Young University

Jack Bretcher, COO, PartnerMD

Chris Brisnehan, Director INFOR ERP/Labor Productivity, CHRISTUS Health (Infor Provider Partner)

Michael Brown, VP, Supply Chain, Texas Children’s Hospital

Keri Charron, VP, Primary Care and Specialty Services, Nebraska Methodist Health System

Diane Cline, COO, Hospice of Southern Kentucky

Nazanin Farhad, Director, Business Liaison, Easterseals Southern California

Mark Gryder, VP, Process Innovation, Next Level Medical

Janet Guptill, President & CEO, Scottsdale Institute

Subhas Gupta, Chair and Professor, Plastic Surgery (MD, CM, PhD, FRCSC, FACS), Loma Linda University Health

Mike Harmer, VP, ERP Digital Services, Intermountain Health (Workday Provider Partner)

Kate Katz, Principal, FMG Leading Healthcare

Heather Khan, System VP, Acute Care Quality, Endeavor Health (RLDatix Provider Presenter)

Laree LaPierre, MPH, Sr. Toxic Exposure Analyst, Federal Electronic Health Record Modernization (FEHRM) Office

John Lawley, CEO, Privia Medical Group North Texas

Lijah Lokenauth, SVP, Finance, Tampa General Hospital

Bill McGrath, CTO, Next Level Medical

Nidia Medina, CEO, Hispanic Family Counseling

Sara Meinke, Sr. Director, Enterprise Business Systems, Baptist Health Jacksonville (symplr Provider Partner)

Rod Neill, COO, Medical Group, Bon Secours Mercy Health (TeamBuilder Provider Partner)

Amy Olson, VP, Business Applications, Advocate Health Group

Connor Quiring, House Supervisor, Ogden Regional Hospital

Gagan Singh, CIO, Ascension

Leslie Smith, Chief Nursing Officer, Hospice of Southern Kentucky

Linda Stevenson, CIO, Fisher-Titus Medical Center

Bill Tayler, Academic Director and Robert J. Smith Professor, Healthcare Leadership, Brigham Young University

James Whitfill, Chief Transformation Officer, HonorHealth

HIT Vendors & Consulting Firms

August Calhoun, President, RLDatix

Trey Callahan, Operational Services, Epic

Thomas Chernetsky, Head of Engineering, LeanTaaS

Jeanette Conaway, Managing Director, PwC

Lydia Daniels, Product Informatics, Epic

Steve Fanning, SVP, Industry Strategy, Infor

Joseph Fiorentino, Partner, EY

Mark Geremia, Chief Marketing Officer, QGenda

Chris Gibson, VP, Healthcare, Oracle Health

Lisa Gulker, Chief Nursing Officer, Oracle Health

Bill Hehr, Director, Healthcare Product Strategy, Workday

David Howard, Founder & CEO, TeamBuilder

Mike Johnson, President & CEO, Multiview

Taylor Kennedy, Digital Transformation Advisor, Huron Consulting Group

John Kravitz, Analyst Relations, Workday

Matt Lemos, Account Executive, Workday

Sri Madabushi, EVP, Strategic Partnerships, IKS Health

Amy Madden, Chief Customer Officer, MD-Staff

Theresa Meadows, CIO in Residence, symplr

Ian Olson, Software Developer, Epic

Mea Parikh, VP, Marketing, TeamBuilder

John Rockwell, Associate Director, Impact Advisors

Kristin Russel, Chief Marketing Officer, symplr

Niloy Sanyal, Chief Marketing & AI Adoption Officer, LeanTaaS

Kristin Shelley, Director of Industry & Solution Strategy, Infor

Eli Shields, Managing Director, Huron Consulting Group

Richard Tom, VP Market Leader, IKS Health

Jim Wharton, Chief Product Officer, QGenda

author - Natalie Hopkins
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Natalie Hopkins
author - Natalie Jamison
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Natalie Jamison
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Sydney Toomer
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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2026 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.