Founder and Managing Partner, Chilmark Research
Amid ongoing federal healthcare reform, fee-for-service shifting to outcomes-based payment models, uncertain reimbursements, and an ever-changing landscape of technology solutions impacting both patient and provider behaviors, healthcare leaders are struggling to understand how to set and execute a strategy to deliver sustainable financial and clinical outcomes. With an ear to the ground and an eye to the horizon, John Moore, the founder of Chilmark Research has created a national following by those who depend on him and his team for their thoughtful research and insightful analysis.
Built on the core belief that healthcare information technology (HIT) plays a crucial role in improving the quality and efficiency of care, Chilmark fosters the effective adoption, deployment, and use of HIT by providing objective, high-quality research into technologies with the greatest potential to improve care. Using a pragmatic, evidence-based research methodology with a strong emphasis on primary research and objectivity, Chilmark provides healthcare leaders the most in-depth and accurate portrait of the critical technology and adoption trends in the HIT sector.
Join John as he provides a healthcare analytics market overview, sharing insight on the most recent topics from areas of their coverage which include: health information exchanges, analytics and business intelligence, IT strategies for patient engagement, cloud computing models for healthcare, mHealth technology and adoption, remote monitoring and telemedicine, and the payer/provider convergence.
Chief Medical Officer, Centria Healthcare
While the goals are clear, the mechanics of implementation and operations of “population health” are currently a work-in-progress across the healthcare ecosystem. This talk outlines a universal framework for a Triple Aim-based operating model of population health management, derived from extensive experience (successes and failure from multiple different population health projects by Dr. Merahn) bringing principles of process design, program, and operations management, engineering and human factors into the planning and implementation of population health and systems-based practice with large health systems, managed care organizations and ambulatory care networks. The design of systems-based practice should account for and allow multiple payment models; in this talk Dr. Merahn will define the functional requirement of population health infrastructure and operations, operating capabilities associated with bringing the requirements to life, and interaction design that orchestrates the operating capabilities and their interface with other environmental factors and forces.
Chief Medical Officer, SmartHealth, Ascension Health
Many healthcare organizations go down the path of implementing broad, sweeping initiatives to try to improve population health without recognizing the importance of addressing fundamental issues like the social determinants of health, and the needs of smaller segments of the groups they serve. This, coupled with the lack of a consistent planning methodology, leads to costly project variation and variable results. It also makes it difficult to determine the value of a program, or justify the spread of an initiative to other care settings or locations.
Presented here is a roadmap and template guide for population health improvement initiatives that addresses these concerns. The lecture includes an explanation of the template’s development, and evaluation, and instructions on its use. Actual examples of how the template has been applied will be presented, and table exercises will provide the attendee with hands on experience using the template. This guide creates a standardized population health approach to project planning and execution that may be applied to all types of health improvement initiatives and a variety of patient populations.
Senior Vice President, Client Engagement, Health Catalyst
In today’s value-based care environment, with shrinking operational margins, it is critical for health systems to achieve an ROI from its improvement projects. Investing in a data ecosystem doesn’t guarantee an organization’s ability to improve care delivery and lower costs. Organizations need data analysts and data architects with the right skills to maximize its data ecosystem. This Breakout will discuss the six needful data architect and data analysts skills: structured query language; export, transform, and load (ETL); data modeling; data analysis; business intelligence (BI) reporting; telling the story of the visualizations.
Senior Vice President, Professional Services, Health Catalyst
In this interactive session, David Grauer will share the secrets to successful governance and how to do more with less. He will review the four best practice governance principles and share stories about each. Audience members will be invited to share their experiences.
Healthcare leaders and decision markers (most of whom are non-technical) are hearing a lot about machine learning (ML), predictive analytics, AI, and related topics as an emerging capability that can be helpful (and even transformational) in accelerating outcomes improvement and providing other benefits. Those that are interested in exploring this further, however, need help in determining next steps. This presentation will help these leaders:
- Understand the definitions and benefits of ML, predictive analytics, and AI to be able to match the right technologies to the right problems and use cases.
- Determine the strategic options for introducing these technologies to an organization, including to what degree to build internal data science teams and skills, and whether to rely on existing or new vendors (and which ones).
- Develop plans and projects with realistic timelines, costs, and benefits expectations for these technologies.
- Prepare what is often the largest issue: change management and what the introduction of these technologies can mean to current operations.
Vice President, Patient Safety Products, Health Catalyst
Safety is an emergent property of a larger system, often best described as a sociotechnical system composed of culture, process, and technology. Safety emerges from an interaction of these sociotechnical components. As the landscape of patient safety changes, organizations will need to expand their sociotechnical focus in the following areas:
- The care continuum
- Patient and family engagement/experience
- Healthcare workforce
- Transparency and metrics
- Use of HIT. As the market separates healthcare organizations into winners and losers, patient safety will be an important determinant.
This session will describe the sociotechnical attributes of a safe system, the challenges, the barriers, and the opportunities.
Co-Founder, Chief Improvement Officer, and Chief Fun Officer, Health Catalyst
Senior Vice President, Professional Services, Health Catalyst
Known for his game-based learning, Tom Burton, co-founder and CFO (chief fun officer) of Health Catalyst, will discuss the importance of unleashing data to drive massive clinical, financial, and operational improvements. His game-based learning approach creates an environment of synergy where one plus one equals three and while a picture may be worth a thousand words, a game may be worth ten thousand. Tom has developed a game that will be the basis of experiential connection with unleashing data principles that have driven improvements at some of the most revered health care organizations across the country.
This 2-hour session will be full of wonder, introspection, and practical instruction that will leave you with a strategy, tactics, and supporting logic to make changes. Tom will talk through how to drive improvements across a spectrum: organic improvement à fast track improvement à comprehensive outcomes. And, consistent with those who experienced his Governance Quest from 2016, Tom will have teams of people leading small group interactions at individual tables creating a truly hands-on experience.
Physician Informaticist for Enterprise Data Strategy, Division of Informatics, Geisinger Health System
Over 50% of health system costs and revenues are related to surgical procedures. The challenge is that operating room (OR) performance data resides in multiple sources and in many cases, actual costs are not known. To overcome this, Geisinger Health integrates its data using an enterprise data warehouse (EDW) and employs activity based costing to analyze over 100,000 procedures yearly, including 45,000 OR surgeries and anesthetics across 12 facilities. Geisinger Health will share its strategy, which will avail surgeons and OR members comprehensive data within minutes of case completion for near real-time OR management and immediate post-operative review. The result will be exposure of costly surgical procedure variance, opportunities to evaluate cost-value relationships, and analytics ranging from graphical/statistical summaries for all cases, with drill-down to individual patient case details.
Sr. Director, Data Analytics, NorthShore University HealthSystem
Rolled out in stages since 2014, CMS’ bundled payment models in many situations are turning past revenue streams into new cost liability because of reimbursement changes. Grappling with these changes, organizations like North Shore University Health System, armed with powerful analytics, are turning change into opportunity.
Associate Chief Quality Officer, Partners HealthCare
Everyone talks about how Patient-Reported Outcomes Measures (PROMs) “should” lead to improvement in the quality of patient care. But, very few organizations know how to collect and use PROMs to inform clinical and provider decisions to. Join Partners Healthcare as they explore their experience using PROMs. They will share some examples from around the world to demonstrate how PROMs can help deliver faster, more personalized care for individual patients, and how they are using PROMs as an outcomes metric for quality improvement and comparative effectiveness.
This session will describe their innovative approach for using PROMs to improve patient care and value. Partners Healthcare will review strategies and tactics for overcoming potential barriers to collecting and effectively using PROMs.
President and CEO, Donegal Advisory Services, Former CFO, Allina Health
Provider/payer ventures are accelerating the transfer of risk and reward for healthcare services through pay for value incentive programs/models, as care delivery leaders seek more effective ways to ensure the best patient care is reliably accompanied by affordability and efficiency.
Come hear the Minneapolis Business Journal 2016 CFO of the year speak about his experience in engaging healthcare board members and senior executives in strategic payer/provider dialogues. You will learn how they collectively concluded that pursuing greater risk sharing was the organization’s best path forward, and how partnerships were its best vehicles.
Vice President, Lean Promotion, University of Kansas Health System
Director, Business Architecture and Analytics, University of Kansas Health System
It’s hard to reduce systemwide readmissions because it is a complex problem. Readmissions are costly for both patients and healthcare organizations. Many efforts to reduce readmissions focus on a single disease process, diagnosis, service line, or location.
This session will review how analytics, machine learning, and predictive models have helped identify at-risk patients and reduce systemwide readmissions at the University of Kansas Health System.
Vice President, Lean Promotion, University of Kansas Health System
Vice President, Revenue Cycle, The University of Kansas Health System
The revenue cycle of any large healthcare organization is filled with variation and complexities. Policies and procedures differ from payer to payer, technology and communication systems vary from patient to patient, and the complexities of having separate hospital and professional revenue cycles in the same system can lead to defects and waste. The University of Kansas Health System needed a strategically aligned improvement plan to reduce rework and denials.
This session will describe the development and implementation of the strategies, , tools, and methodologies it used to generate and sustain improvements.,
Medical Director, Clinical Systems Integration Process Improvement, Texas Children’s Hospital
Diabetes is a major chronic disease that affects individuals of all ages. It is the most common life-threatening, chronic illness for children living in developed countries. Texas Children’s Hospital, a leader in the research and treatment of children with diabetes, evaluates more than 2,500 cases annually with the goal of helping children, adolescents, and young adults to manage their illness effectively—and live long, healthy, and active lives.
Join Texas Children’s to learn how its data-driven approach to population health management for patients with diabetes coupled with the formation of Diabetes Care Process Teams (CPTs) is benefiting its patient population with improved outcomes including 44 percent relative decrease in LOS for patients with DKA and 30.9 percent relative reduction in recurrent DKA admissions per fiscal year.
Chief Medical Officer, Piedmont Healthcare
As healthcare steadily moves toward population health management, it is increasingly important for health systems to provide high quality, safe care at the lowest possible cost. This presentation will provide a detailed review of how Piedmont Health, a multi-hospital acute care system, rebuilt its hospital quality function from the ground up to focus on value production.
Associate Chief Quality Officer, Partners HealthCare
Clinicians are barraged with healthcare quality measures. Most of these measurements have diverged from what clinicians consider the essence of their profession. Partners Healthcare has embarked on a journey to resolve its clinician’s concern. The foundation of this effort includes clinical registries that are embedded within its EHR which define quality in a way that resonates with clinicians. In addition, broad access to a near real-time data and analytics platform that is part of the enterprise data warehouse has been instrumental.
Join this session to learn how Partners Healthcare is using physician engagement strategies and analytics to reinvigorate clinicians and improve the quality of care for its patients.
Director, Quality Outcomes and Metrics, MultiCare Health System
Nationally, approximately 700,000 hospitalizations occur each year with the principle diagnosis of Chronic Obstructive Pulmonary Disease (COPD). One in five patients are readmitted within 30 days. Even with a national cost between $9,000 and $12,000 for each of these readmission, evidence-based measures that improve patient outcomes and decrease readmissions for COPD are largely lacking.
This presentation will review MultiCare Health System’s strategy and approach to improve and standardize patient care processes for patients with COPD. Learn how MultiCare leveraged the power of their clinical collaborative and analytics to create a best practice bundle that resulted in a 16.5 percent reduction in readmission rates and saved costs for this patient population.
President, MultiCare Connected Care, LLC
Executive Vice President & Chief Operating Officer, MultiCare Health System
Effective governance is essential for meaningful and sustained outcomes improvement in healthcare. In this session, MultiCare Health System, an ACO and integrated delivery system, will outline its journey to establishing a comprehensive governance structure and set of processes to harness the power of analytics which enables the organization to accelerate and sustain outcomes improvements.
This discussion will cover the four key principles MultiCare used in building the framework for its governance structure:
- Engage stakeholders around a common vision.
- Establish a shared understanding of organizational needs, capabilities, and readiness.
- Create alignment with a consistent improvement methodology, incentives, and priorities.
- Keep focused on practicing disciplined decision making to prioritize, fund, organize, and sustain improvements that require analytics.
Vice President, Clinical Integrated Solutions, Mercy Health
Using a combination of machine learning and an application of mathematics called topological data analysis (TDA), hospitals, health systems, and integrated delivery networks can accelerate the analysis of large and complete datasets with “unsupervised” discovery, capturing insights faster and more comprehensively than traditional or homegrown analytical tools. This unbiased approach of machine intelligence for pattern identification unlocks insights into practice variation for clinical pathways and population management. Dr. Stewart will illustrate the application of machine intelligence for optimizing care for total joint replacement and laparoscopic surgery patients at Mercy Health System, using EHR data from 10 hospitals. He will also demonstrate the use of machine intelligence for analyzing health claims data for chronic disease population segmentation and identify opportunities to advance precision medicine.
Central line-associated bloodstream infections (CLABSI) are one of the most costly and harmful hospital-acquired infections reported nationally. The detection and investigation of these infections is a labor-intensive process that occurs retrospectively after a patient is confirmed to have acquired a CLABSI.
Join Indiana University Health as they describe their journey to enabling real-time data analysis and the use of predictive analytics to identify and intervene with patients at risk for these infections before they occur. They will also discuss the future possibilities they see with predictive analytics for transforming hospital safety practices.
The Enterprise Data Governance Evolution: Positioning Your Organization at the Cutting Edge of Data Quality Improvement
Enterprise Data Governance Program Lead, Children’s Hospital of Philadelphia (CHOP)
Data stewardship is the aspect of healthcare data governance that focuses on providing the appropriate access to users, helps users understand the data, and owns data quality. When there’s poor data stewardship, even the best enterprise data warehouse and analytics platforms become underutilized and data is poorly understood by users who could be generating valuable insights every day.
Find out how Children’s Hospital of Philadelphia successfully transitioned from an environment of many disjointed analytics silos to one of effective data governance—with identified focus areas, data sponsors, data stewards, and technical owners for each metric. This journey included the creation of an enterprise data governance exploration (EDGE) tool which equips interested users with access to explore focus areas, review metric domains, people, and definitions for a variety of purposes.
Vice President, Allina Health Group Quality, Value and Nursing
Program Manager, Allina Health
To strengthen the understanding of value, Allina Health began engaging its employees and physicians in discussions around decreasing clinical variation and utilization of a more disciplined approach called the Clinical Value Process. This approach has enabled the organization to more effectively track both quantitative (fiscal) and qualitative improvements. The result is better patient outcomes, lower costs, and improved experience for its patients, communities, and Allina Health plan members.
Learn how the Clinical Value Process enables a multidisciplinary team approach across an entire system using clinical analytics and collaboration to successfully implement standardized care, improve outcomes, and save tens of millions of dollars annually.
System Medical Director, Allina Health Clinical Laboratories
Blood utilization is a mainstay of medical therapy, but it also can be risky and costly. Allina Health needed a strategy and work plan that would increase its adherence to evidence-based guidelines, and make better use of a limited, costly resource, while ensuring patients were receiving the best care possible.
This session will review how to use blood conservation strategies, education, analytics, and decision support at order entry to develop and implement a successful, systemwide process for improving the utilization of blood products, saving millions of dollars.
Director, Thompson Development Ltd.
Imagine what it would be like to publish your pricing in the Wall Street Journal today? That’s exactly what this healthcare system did. They were able to do this because they knew what their actual costs were—not just allocated costs—for each procedure. Committed to quality outcomes and affordable healthcare, this organization will share its model for delivering on the promise of bundled payments, something consumers are demanding, and yet remains elusive for many organizations to achieve.
Chief Quality Officer, Mission Health
Manager, Data Science - Clinical & Business Analytics, Mission Health System
Predictive analytics is playing an increasingly important role in the care of populations of patients. It is identifying patients who need special medical intervention, and which interventions are most effective.
Learn from an MD, chief quality officer, and PhD, data scientist, how they partnered together to achieve improvements. This presentation will describe the organizational assets, team structures, and technical approaches used to add predictive modeling functionality to existing enterprise data warehouses and reporting structures. Learn about the various project management approaches for predictive/data science projects, suggested personnel and data assets required for data science work, and how to avoid technical pitfalls in model development.
Director, Product Development, Health Catalyst
Many organizations install costly business intelligence solutions, hoping that new insights will lead to action. Unfortunately, insights alone don’t guarantee follow up and action, particularly when data resides in a different place than where the daily work is performed. Closed loop analytics literally closes the loop between analytic insights and action, ensuring that teams of people are able to use the right processes and technologies to discover, test, and implement insights within their work flow.
This session will focus on leveraging closed loop analytics to get the most out of business intelligence solutions, focusing on strategies that can be employed to reduce the latency of data and deliver information within the workflow that can be acted on immediately.
When it comes to the future of your analytics strategy, data will be the center, not your EMR. In fact, when it comes to big programs such as population health, your EMR has only about 8 percent of what you’re going to need. This session will present a solution to many data issues healthcare organizations are now facing, the Data Operating System. More details forthcoming.
Director, Data Science, Health Catalyst
Despite all the hype, you may be surprised to learn that the barriers to entry for machine learning are relatively low. The requirements? A dataset and an analyst. In this talk, Dr. Thatcher walk you through the practicalities of choosing a business problem, organizing a dataset, deploying a model, and surfacing the guidance in a visualization. This will be a technical session.
Director, Product Development, Health Catalyst
As health systems nationwide advance in their analytics journey, many are ready to expand beyond traditional discrete data sources—“regular data”—and are cautiously curious about the hype around “big data.” In Gartner’s latest report on big data in healthcare, it identified clinical text – physician notes, or radiology and pathology reports – as the most relevant big data source for health systems. In fact, most health systems employ clinical chart abstractors, willing to endure the burden and delay of hiring a team of nurses to manually extract nuggets of information from the free text content of their medical records because it is invaluable to evaluating medical performance. The work is difficult, time consuming, costly, and unavoidably retrospective; because of the expert manual effort involved, the questions we are able to ask of free text data is severely limited to the most essential, often dictated by reporting requirements.
Imagine being able to automate discovery of the left ventricular ejection fraction from the various free text documents (diagnostic testing reports, cardiology notes), and transform this information into computable data that can be tracked and visualized to monitor progression of heart failure among your patients, enabling analysis of the impact of treatments and exacerbating events, and allowing for the triggering of interventions. Or, what if we could begin to automate cardiac risk calculation in advance of surgeries by uncovering recent EKG changes, key findings from cardiac stress testing and any recent changes in chest pain symptomatology in addition to the already computable data in blood pressure, ICD-10 coded problem lists, and lab values.
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I can’t imagine a better summit. My brain is buzzing with all these new tools, resources, case studies, and innovative ideas and softwares. I’ll be back next year, and if next year is as good as this year, you’ll definitely have made a follower for life out of me.
… This was the best conference in over 20 years that I have attended.
This is by far the best conference I have attended. It was well planned and coordinated. Great job to the team for putting this amazing event together.
Same place, same time next year!! The best conference I’ve attended, fabulous job!
The more energy you can provide on topics of Healthcare the better. 80s night, dine on us, and fun runs were so AWESOME! Hands down best conference I have ever been to! Thanks to all who put forth the effort to get it all done.
You don’t need my help. Fine job. Best conference of the year!