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Achieve MU3: Measure 3 with these 5 MEDITECH Clinical Decision Support Interventions (CDSi)

Posted on August 11, 2017 I Written By

The following is a guest blog post by Kelly Del Gaudio, Principal Consultant at Galen Healthcare Solutions.

Over the past several years, there has been significant investment and effort to attest to the various stages of meaningful use, with the goal of achieving better clinical outcomes. One area of MU3 that directly contributes to improved clinical outcomes is implementation of Clinical Decision Support Interventions (CDSi). Medicaid hospitals must implement 5 CDSi and enable drug-drug and/or drug-allergy checking.

From looking at this measure it seems like a walk in the park, but how does your organization fair when it comes to CDS?

Thanks to First Databank, users of EMR’s have been accomplishing drug to drug and drug to allergy checking for over a decade, but what about the edge cases you think will be covered but aren’t? Take a patient that is allergic to contrast for example. Since imaging studies requiring contrast are not drugs, what happens when they are ordered? Are they checking for allergies? In most cases, additional configuration is required to get that flag to pop. This is usually where we come in.

Let’s take a look at a simple CDSi definition provided by CMS.gov

“CDS intervention interaction. Interventions provided to a user must occur when a user is interacting with technology. These interventions should be based on the following data:  Problem list; Medication list; Medication allergy list; Laboratory tests; and Vital signs. “

Without a decent rule writer on staff, there are limitations within MEDITECH for accomplishing full CDSi. The primary reason we started recording these discrete data elements in the first place is the glimmer of hope that they would someday prove themselves useful. That day is here, friends. (If you don’t believe me, check out IBM’s Watson diagnosing cancer on YouTube. . .you might want to block off your schedule.)

In collaboration with 9 hospitals as part of a MEDITECH Rules focus group – Project Claire[IT] – we researched and designed intuitive tools to address Clinical Quality Measures (eCQM’s) and incorporated them into a content package. If your organization is struggling to meet these measures or you are interested in improving the patient and provider experience, but don’t have the resources to dedicate to months of research and development, Project Claire[IT]’s accelerated deployment schedule (less than 1 month) can help you meet that mark. Below are just some examples of the eCQM’s and CDS delivered by Project Claire[IT].

CMS131v5     Diabetes Eye Exam
CMS123v5     Diabetes: Foot Exam
CMS22v5       Screening for High Blood Pressure and Follow-Up Documented

Synopsis: The chronic disease management template will only display questions relevant to the Problem List (or other documented confirmed problems since we know not everyone uses the problem list). Popup suggestions trigger orders reminding the provider to complete these chronic condition follow-up items before letting the patient out of their sights. Our goal was to save providers time by ordering all orders in 1 click.

CMS71v7     Anticoagulation Therapy for Atrial Fibrillation/Flutter
CMS102v6   Assessed for Rehabilitation

“The Framingham Heart Study noted a dramatic increase in stroke risk associated with atrial fibrillation with advancing age, from 1.5% for those 50 to 59 years of age to 23.5% for those 80 to 89 years of age. Furthermore, a prior stroke or transient ischemic attack (TIA) are among a limited number of predictors of high stroke risk within the population of patients with atrial fibrillation. Therefore, much emphasis has been placed on identifying methods for preventing recurrent ischemic stroke as well as preventing first stroke. Prevention strategies focus on the modifiable risk factors such as hypertension, smoking, and atrial fibrillation.” – CMS71v7

The above quote is taken directly from this measure indicating the use of the Framingham Heart Study we used to identify and risk stratify stroke. Claire[IT] content comes complete with three Framingham Scoring tools:

                Framingham Risk for Stroke
                Framingham Risk for Cardiovascular Disease
                Framingham Risk for Heart Attack

These calculators use all the aforementioned data elements to drive the score, interpretation and recommendations and the best part is they only require one click.

*User adds BP. BP mean auto calculates. Diabetes and Smoking Status update from the Problem List. Total Cholesterol and HDL update from last lab values.
Ten year and comparative risk by age auto calculates.

*User adds BP. BP mean auto calculates. Diabetes, Smoking Status, CVD, Afib and LVH update from the Problem List. On Hypertension meds looks to Ambulatory Orders.
Ten year risk auto calculates.

*User adds BP. BP mean auto calculates. Diabetes and Smoking Status update from the Problem List. Hypertension meds looks to Ambulatory Orders. Total Cholesterol and HDL update from lab values.
Ten year risk auto calculates.

CMS149v5      Dementia: Cognitive Assessment

Synopsis: Not only is this tool built specifically as a conversational assessment, it screens for 4 tiers of mental status within one tool (Mental Status, Education, Cognitive Function and Dementia). The utilization of popup messages allows us to overcome the barrier of character limits and makes for a really smooth display on a tablet or hybrid. Our popups are driven by the primary language field in registration and our content currently consists of English and Spanish translations.

CMS108v6     VTE Prophylaxis
CMS190v6     VTE Prophylaxis is the ICU

Synopsis: Patients that have an acute or suspected VTE problem with no orders placed for coumadin (acute/ambulatory or both) receive clinical decision support flags. Clicking the acknowledge tracks the user mnemonic and date/time stamp in an audit trail. Hard stops are also in place if NONE is chosen as a contraindication. The discharge order cannot be filed unless coumadin is ordered or a contraindication is defined. These rules evaluate the problem list and compare it to the medication list to present the provider with the right message.

Learn more about the work of our focus group and Project Claire[IT] by viewing our MEDITECH Clinical Optimization Toolkit.

VIEW THE TOOLKIT TO ACCESS:

  • Deliverable Package of Complex Rules, Assessments, CDS’s and Workflows
    • Problem List Evaluation
    • Total Parenteral Nutrition
    • Manage Transfer Guidance
  • Surveillance Dashboard Setup Guide
    • Dictionary Setup & Validation
  • 6.x Rules Setup Guide
    • Basic Rules for Assessments, Documents & Orders
  • IV Charge Capture Setup Guide

About Kelly Del Gaudio
Kelly is Principal Consultant at Galen Healthcare Solutions, and has been optimizing MEDITECH systems for over 10 years. She worked for MEDITECH on an elite 4-person team (the MEDITECH SWAT Team), whose sole concentration was clinical optimization, ROI analysis, MU certification, and achievement of HIMSS EMRAM Stage 6/7. Kelly currently leads Galen’s MEDITECH practice, and championed a focus group, which led to the delivery of Project Claire[IT], a MEDITECH content package of complex rules, assessments, CDS’s, and workflows that evaluate, suggest, and support documentation of chronic and acute problems. Learn more about Kelly in the #IAmGalen series.

About Galen Healthcare Solutions

Galen Healthcare Solutions is an award-winning, #1 in KLAS healthcare IT technical & professional services and solutions company providing high-skilled, cross-platform expertise and proud sponsor of the EMR Clinical Optimization Series. For over a decade, Galen has partnered with more than 300 specialty practices, hospitals, health information exchanges, health systems and integrated delivery networks to provide high-quality, expert level IT consulting services including strategy, optimization, data migration, project management, and interoperability. Galen also delivers a suite of fully integrated products that enhance, automate, and simplify the access and use of clinical patient data within those systems to improve cost-efficiency and quality outcomes. For more information, visit www.galenhealthcare.com. Connect with us on Twitter, Facebook and LinkedIn.

Patient Engagement and Collaborative Care with Drex DeFord

Posted on August 7, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

#Paid content sponsored by Intel.

You don’t see guys like Drex DeFord every day in the health IT world. Rather than following the traditional IT career path, he began his career as a rock ‘n roll disc jockey. He then served as a US Air Force officer for 20 years — where his assignments included service as regional CIO for 12 hospitals across the southern US and CTO for Air Force Health — before focusing on private-sector HIT.

After leaving the Air Force, he served as CIO of Scripps Health, Seattle Children’s Hospital and Steward Health before forming drexio digital health (he describes himself as a “recovering CIO”). Drex is also a board member for a number of companies and was on the HIMSS National board and the Chairman of CHIME.

Given this extensive background in healthcare IT leadership, we wanted to get Drex’s insights into patient engagement and collaborative care. As organizations have shifted to value based reimbursement, this has become a very important topic to understand and implement in an organization. Have you created a culture of collaborative care in your organization? If not, this interview with Drex will shed some light on what you need to do to build that culture.

You can watch the full video interview embedded below or click from this list of topics to skip to the section of the video that interests you most:

What are you doing in your organization to engage patients? How are you using technology to facilitate collaborative care?

Hospital CIOs Still Think Outcomes Improvement Is The Best Use Of EMR Data

Posted on August 4, 2017 I Written By

Anne Zieger is veteran healthcare editor and analyst with 25 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

Sure, there might be a lot of ways to leverage data found within EMRs, but outcomes improvement is still king. This is one of the standout conclusions from a recently-released survey of CHIME CIOs, sponsored by the trade group and industry vendor LeanTaaS, in which the two asked hospital CIOs five questions about their perceptions about the impact of EMR data use in growing operating margins and revenue.

I don’t know about you, but I wasn’t surprised to read that 24% of respondents felt that improving clinical outcomes was the most effective use of their EMR data. Hey, why else would their organizations have spent so much money on EMRs in the first place?  (Ok, that’s probably a better question than I’ve made it out to be.)

Ten percent of respondents said that increasing operational efficiencies was the best use of EMR data, an idea which is worth exploring further, but the study didn’t offer a whole lot of additional detail on their thought process. Meanwhile, 6% said that lowering readmissions was the most effective use of EMR data, and 2% felt that its highest use was reducing unnecessary admissions. (FWIW, the press release covering the survey suggested that the growth in value-based payment should’ve pushed the “reducing  readmissions” number higher, but I think that’s oversimplifying things.)

In addition to looking at EMR data benefits, the study looked at other factors that had an impact on revenue and margins. For example, respondents said that reducing labor costs (35%) and boosting OR and ED efficiency (27%) would best improve operating margins, followed by 24% who favored optimizing inpatient revenue by increasing access. I think you’d see similar responses from others in the hospital C-suite. After all, it’s hard to argue that labor costs are a big deal.

Meanwhile, 52% of the CIOs said that optimizing equipment use was the best approach for building revenue, followed by optimizing OR use (40%). Forty-five percent of responding CIOs said that OR-related call strategies had the best chance of improving operating margins.

That being said, the CIOs don’t exactly feel free to effect changes on any of these fronts, though their reasons varied.

Fifty-four percent of respondents said that budget limitations the biggest constraint they faced in launching new initiatives, and 33% of respondents said the biggest obstacle was lack of support resources. This was followed by 17% who said that new initiatives were being eclipsed by higher priority projects, 17% said they lacked buy-in from management and 10% who said he lack the infrastructure to pursue new projects.

Are any of these constraints unfamiliar to you, readers? Probably not. Wouldn’t it be nice if we did at least solved these predictable problems and could move on to different stumbling blocks?

EMR Clinical Optimization CIO Perspectives – EMR Clinical Optimization Series

Posted on July 26, 2017 I Written By

The following is a guest blog post by Julie Champagne, Strategist at Galen Healthcare Solutions.

Most HDOs today face a decision: start over with a new EMR or optimize what you have. A poorly executed implementation, coupled with substandard vendor support, makes EMR replacement an attractive and necessary measure. Further, the increase in mergers and acquisitions is driving system consolidation and consequently increasing the number of HDOs seeking EMR replacement to address usability and productivity concerns.

Galen Healthcare Solutions spoke with two prominent health information technology leaders, who have quite a bit of experience in the optimization field to hear their views on the topic. Sue Schade, MBA, LCHIME, FCHIME, FHIMSS, is a nationally recognized health IT leader and Principal at StarBridge Advisors, providing consulting, coaching and interim management services. Jim Boyle, MPH, CGEIT is Vice President of Information Services of St. Joseph Heritage Healthcare (Anaheim, Calif.). In his current role, Jim oversees the delivery of applications and technology and is a member of the executive leadership team. Below are their perspectives

Opportunities for EMR optimization generally fall into three categories:

  • Usability & efficiency: Improve end-user satisfaction and make providers more efficient and productive
  • Cost Avoidance: Improve workflows to increase utilization and decrease variability
  • Increase Revenue: Implement analytics to transition from volume to value


Recently, three prominent Boston-area physicians contributed an opinion piece to WBUR, “Death By A Thousand Clicks”. They postured that when doctors and nurses turn their backs on patients in order to pay attention to a computer screen, it pulls their focus from the “time and undivided attention” required to provide the right care. Multiple prompts and clicks in an EMR system impact patients and contribute to physician burnout.

HDOs should then limit their intake to what can be accomplished within one quarter, referred to as a sprint. Accountability should be assigned, and visual controls or Kanban should be leveraged.


 
For HDOs that experienced failed EMR implementations, making corrections and reengineering is a necessary first measure. Typically, a deficiency in the additional support for the system implementation is to blame, and employing qualified application support staff will help to address and resolve end user dissatisfaction.
 
 
 
To realize lasting impact from the EMR, extensive post go-live enhancement and optimization is needed. Leveraging the operational data in the EMR system can support many initiatives to improve workflows, as well as clinical and financial performance. Prioritization of the levers that can be adjusted depends on the HDO’s implementation baseline and strategic goals.

 
The most important deciding success factor for an optimization project is focusing effort and ensuring the scope is not too large. Further, it is of critical importance to set measurable and attainable metrics and KPIs to gauge the success and ROI of the initiative. Quantification of staff effort and IT investment is also important.

Gain perspectives from HDO leaders who have successfully navigated EMR clinical optimization and refine your EMR strategy to transform it from a short-term clinical documentation data repository to a long-term asset by downloading our EMR Optimization Whitepaper.

About Sue Schade
Sue Schade, MBA, LCHIME, FCHIME, FHIMSS, is a nationally recognized health IT leader and Principal at StarBridge Advisors providing consulting, coaching and interim management services. Sue is currently serving as the interim Chief Information Offi cer (CIO) at Stony Brook Medicine in New York. She was a founding advisor at Next Wave Health Advisors and in 2016 served as the interim CIO at University Hospitals in Cleveland, Ohio. Sue previously served as the CIO for the University of Michigan Hospitals and Health Centers and prior to that as CIO for Brigham and Women’s Hospital in Boston. Previous experience includes leadership roles at Advocate Health Care in Chicago, Ernst and Young, and a software/outsourcing vendor. Sue can be found on Twitter at @sgschade and writes a weekly blog called “Health IT Connect” – http://sueschade.com/

About Jim Boyle
Jim Boyle, MPH, CGEIT is a Vice President of Information Services of St. Joseph Heritage Healthcare (Anaheim, Calif.). Jim Boyle is nationally recognized as part of a new generation of health care informatics professionals who understand IT’s full potential to greatly improve peoples’ lives. In his current role Jim oversees the delivery of applications and technology and is a member of the executive leadership team for St. Joseph Heritage Healthcare, which comprises over 860 medical group providers and 1300 affiliated physicians across California. Since joining St. Joseph Health 12 years ago, he has held eight different positions, including project manager, application analyst and IT director at Fullerton, Calif.-based St. Jude Medical Center. Jim can be found on Twitter at @JBHealthIT and LinkedIn.

About Galen Healthcare Solutions
Galen Healthcare Solutions is an award-winning, #1 in KLAS healthcare IT technical & professional services and solutions company providing high-skilled, cross-platform expertise and proud sponsor of the EMR Clinical Optimization Series. For over a decade, Galen has partnered with more than 300 specialty practices, hospitals, health information exchanges, health systems and integrated delivery networks to provide high-quality, expert level IT consulting services including strategy, optimization, data migration, project management, and interoperability. Galen also delivers a suite of fully integrated products that enhance, automate, and simplify the access and use of clinical patient data within those systems to improve cost-efficiency and quality outcomes. For more information, visit www.galenhealthcare.com. Connect with us on Twitter, Facebook and LinkedIn.

 

The EHR Dress Rehearsal: Because Practice Makes Perfect

Posted on July 14, 2017 I Written By

For the past twenty years, I have been working with healthcare organizations to implement technologies and improve business processes. During that time, I have had the opportunity to lead major transformation initiatives including implementation of EHR and ERP systems as well as design and build of shared service centers. I have worked with many of the largest healthcare providers in the United States as well as many academic and children's hospitals. In this blog, I will be discussing my experiences and ideas and encourage everyone to share your own as well in the comments.

Over the past year I have been leading the implementation of Epic for University Medical Center of Southern Nevada (UMC). On July 1st, we went live at our primary care and urgent care clinics. The go-live was a great success. While no go-live is flawless, we encountered minimal issues that could not be quickly resolved and user adoption was excellent despite the majority of the users using an EHR for the first time.

Today is July 8th, and I’m spending a quiet day in our command center just one week after go-live and reflecting on the factors that made this transition exceed even our optimistic projections. By Day 3, users were comfortable with basic workflows and bills were going out the door. One week into go-live, we are scaling back our on-site support and discussing closing down the command center earlier then expected. Our team universally agrees that the most significant factor in our success was a last minute addition to the methodology – what I refer to as the Workflow Dress Rehearsal.

In my experience regardless of the quality of training that is provided, the classroom is not enough to prepare the staff for what happens when the patients start to walk in the door. Learning in your actual environment helps staff to gain comfort and uncovers challenges in technology and workflow that even the best testing will not reveal.

The concept of doing a true dress rehearsal that mirrors the real experience as closely as possible is one that dates back to retail point of sale and inventory implementations that I did 20 years ago. During those projects, we would shut the doors of the operation and have the staff go through a “day in the life” on the new system – doing everything as they would do it on go-live day – using their actual workstations and logging into the production system. We decided to apply this same concept to an EHR implementation and provide a full-day experience for the entire clinic staff as the final component of their training.

The logistics of making this happen across 8 physical locations and 15 busy clinics required extensive planning and execution. We created a full-day experience starting with scripted patients who would be represented by a clipboard that moved from the front desk and to triage before being roomed. Nurses and physicians went in and out of rooms as they would with real patients, completing the appropriate steps in each room. Later as they gained more comfort, we substituted the clip boards with actual people who represented patients – making up symptoms to help the staff learn how to navigate the EMR and be prepared for what would happen with a real person answering questions, such as providing information out of order of the screens. By the end of the day, the staff was gaining confidence in the application and in themselves. They were also learning how to work as a team in an EMR environment. Most of all, they found the experience more fun, and more directly beneficial then their classroom experience.

The benefits to this process were numerous, and the key contributor to the reduction in our support needs at go-live. Here are just a few examples of the benefits it provided:

1) Security was validated – Every user had the chance to log into production and do actual work just as they would on go-live day. As a result, security issues were resolved during the rehearsal and we had less then a dozen security calls during the first week.
2) Hardware was tested – Taking the previously completed technical dress rehearsal one step further, every workstation and ancillary hardware device was used just as it would be on go-live day. The result was we identified gaps in available hardware, incorrectly mapped printers, and configuration issues that could be resolved the same day, eliminating issues during the actual go-live.
3) End to End Workflow Validation – Nurses, Front Desk, and Physicians had received training individually as each had different content to learn, but didn’t fully appreciate how it all came together. The Workflow Dress Rehearsal allowed them to understand the full life cycle of the patient in the clinic and how their documentation impacts others later in the process. Through this process, they gained an appreciation for each of their respective roles in the EHR experience.
4) Practice, Comfort, and Speed – Working on the system in their actual work environment helped them to gain confidence and get faster using the application. While our mock patient experience is not the same as having a real sick patient in front of them – it was the closest experience that we could create so when the actual patients walked in the door, they knew what to do.
5) Content – We encouraged physicians and nurses to try common orders and medications that they use on a regular basis to make sure they were available and setup properly. Inevitably, we uncovered missing or incorrect information and were able to correct them well before go-live. The result was minimal missing content at go-live as we had already worked out those issues.

The Workflow Dress Rehearsal process allowed us to uncover many of the issues that would have happened at go-live while also allowing the staff to gain comfort with the new solution in a lower-pressure environment. The result? A quiet go-live with minimal complications and a happier staff. Encounters were all being closed the same day, and staff were going home on schedule. These rehearsals also created an educational experience that was fun and motivating to the staff and was of more value to them then another day in the classroom would have been.

I believe that this process can be applied to the implementation of any software solution in any environment. Its not always easy, and we realize that it will be much more complicated to create this experience as part of our hospital go-live later this year. However, the time invested paid off as it saved us so much time in the support of the system during go-live, and created a better experience for our patients during our first week on Epic.

Consider how you can create a Workflow Dress Rehearsal experience for your ERP, EHR, and other solution deployments and you may find that it is a critical success factor to your go-live as well.

If you’d like to receive future posts by Brian in your inbox, you can subscribe to future Healthcare Optimization Scene posts here. Be sure to also read the archive of previous Healthcare Optimization Scene posts.

EMR Clinical Optimization Infographic – EMR Clinical Optimization Series

Posted on July 12, 2017 I Written By

The following is a guest blog post by Justin Campbell, Vice President, Strategy, at Galen Healthcare Solutions.


(See Full EMR Optimization Infographic)

In this infographic, Galen Healthcare Solutions provides critical information and statistics pertaining to EMR optimization including:

  • EMR Market Maturation
  • EMR Capital Investment Priorities
  • EMR as a Valuable Asset vs Required Repository
  • Clinical Optimization Goals & Benefits
  • Types of Clinical Optimization
  • Clinical Optimization Effort & ROI Matrix

EMR products get widely varying reviews. There is strong support and appreciation for EMRs in some HDOs, where the sentiment exists that the EMR is well-designed, saves time, and supports clinical workflows. That said, in other HDOs, providers using the same EMR complain that EMRs add work, decrease face time with patients and create usability issues and slowdowns. Multiple prompts and clicks in an EMR system impact patients and contribute to physician burnout. The resounding sentiment for these set of providers is that the EMRs are not designed for the way they think and work. Why then the varying response among providers to the same EMR products? Deficient implementations.

Under the pressure of moving ahead to meet the requirements of the Meaningful Use program, most EMRs were implemented using a Big Bang approach, and very rapidly. While this approach may have been the most effective to capture incentives, generic, rapid EMR implementation led to several unintended consequences, resulting in widespread user dissatisfaction. EMRs today serve more as a transactional system of record than a system of engagement. To be used to their full capacity, the different components and modules of the EMR should be evaluated against baseline metrics to harness additional capabilities including clinical decision support, analytics at the point of care, and efficiency of workflow. To realize lasting impact from the EMR, extensive post go-live enhancement and optimization is needed. Leveraging the operational data in the EMR system can support many initiatives to improve workflows, as well as clinical and financial performance. Prioritization of the levers that can be adjusted depends on the HDO’s implementation baseline and strategic goals.


(Click to see larger version of graphic)

A robust EMR optimization strategy can help HDOs realize the promised value from implementation of an EMR. EMR optimization is the driver of strategic value, and can become a sustainable competitive advantage through leadership, innovation and measurement. Success requires a disciplined, data-driven, outcomes-based approach to meet a defined set of objectives.

Gain perspectives from HDO leaders who have successfully navigated EMR clinical optimization and refine your EMR strategy to transform it from a short-term clinical documentation data repository to a long-term asset by downloading our EMR Optimization Whitepaper.

About Justin Campbell
Justin is Vice President, Strategy, at Galen Healthcare Solutions. He is responsible for market intelligence, segmentation, business and market development and competitive strategy. Justin has been consulting in Health IT for over 10 years, guiding clients in the implementation, integration and optimization of clinical systems. He has been on the front lines of system replacement and data migration, and is passionate about advancing interoperability in healthcare and harnessing analytical insights to realize improvements in patient care. Justin can be found on Twitter at @TJustinCampbell and LinkedIn.

About Galen Healthcare Solutions
Galen Healthcare Solutions is an award-winning, #1 in KLAS healthcare IT technical & professional services and solutions company providing high-skilled, cross-platform expertise and proud sponsor of the EMR Clinical Optimization Series. For over a decade, Galen has partnered with more than 300 specialty practices, hospitals, health information exchanges, health systems and integrated delivery networks to provide high-quality, expert level IT consulting services including strategy, optimization, data migration, project management, and interoperability. Galen also delivers a suite of fully integrated products that enhance, automate, and simplify the access and use of clinical patient data within those systems to improve cost-efficiency and quality outcomes. For more information, visit www.galenhealthcare.com. Connect with us on Twitter, Facebook and LinkedIn.

Hospital Execs Underestimate QPP Impact

Posted on July 7, 2017 I Written By

Anne Zieger is veteran healthcare editor and analyst with 25 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

A new survey by Nuance Communications suggests that hospital finance leaders aren’t prepared to meet the demands of MACRA’s Merit-Based Incentive Payment System (MIPS), and may not understand the extent to which MIPS could impact their bottom line. Worse, survey results suggest that many of those who were convinced they knew what was involved in meeting program demands were dead wrong.

The survey found that many hospital finance leaders weren’t aware that if they don’t participate in the MIPS Quality Payment Program (QPP), they could see a 4% reduction in Medicare reimbursements by 2019.

Not only that, those who were aware of the program didn’t have a great grasp of the details. More than 75% respondents that claimed to be somewhat or very confident about their understanding of QPP got the 4% at-risk number wrong. Meanwhile, 60% of respondents either underestimated the percent of revenue at risk or simply did not know what the number was.

In addition, a significant number of respondents weren’t aware of key QPP reporting requirements. For example, just 35% of finance respondents that felt confident they understood QPP requirements actually knew that they had to submit 90 day of quality data to participate. Meanwhile, 50% either underestimated or did not know how many days of data they needed to provide.

On a broader level, as Nuance noted, the issue is that hospitals aren’t ready to meet QPP demands even if they do know what’s at stake. Too many aren’t prepared to capture complete clinical documentation, develop business processes to support this data capture and raise provider awareness of these issues. In other words, not only are finance leaders unaware of some key QPP requirements, they may not have the infrastructure to meet them.

This is a big deal. Not only will their organizations lose money if they don’t meet QPP requirements, but they’ll miss out on a 5% positive Medicare payment adjustment if they play by the rules.

Lest the respondents sound careless, let’s do a reality check here. Without a doubt, the transition into the world of MIPS isn’t a simple one. Hospitals and medical practices will have to meet deadlines and present quality data in new ways. That would be a hassle in any event, but it’s particularly difficult given how many other quality data reporting requirements they must meet.

That being said, I’d argue that even if they’ve gotten a slow start, hospitals have enough time to meet the basic requirements of QPP compliance. For example, turning over 90 days of quality data by March of next year shouldn’t be a gigantic stretch in contrast to, say, submitting a year’s worth of data under advanced Meaningful Use models. Not to mention the Pick Your Pace option of only 1 measure which avoids all penalties.

Clearly, having the right health IT tools will be important to this process. (Not surprisingly, Nuance is picking its own reporting tools as part of the mix.) But I’m struck by the notion that organizations can’t live on technology alone in this case. As with many problems in healthcare, tech solutions aren’t worth much if the business doesn’t have the right processes in place. Let’s see if finance executives know at least that much.

Thoughts On Innovation In Healthcare

Posted on June 30, 2017 I Written By

Anne Zieger is veteran healthcare editor and analyst with 25 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

Sure, innovation can be fun and interesting and energizing. But how do you move from innovation as a sport to innovation as a true growth strategy, especially in a conservative business like healthcare? New research by consulting firm PwC might offer some answers.

To conduct its study, P2C surveyed more than 1,200 executives in 44 countries, conducting in-depth interviews with leaders responsible for managing innovation initiatives.

The research, which cut across multiple industries, found that firms that applied customer-engagement strategies leveraging design thinking and user-driven requirements — from idea generation to a product or service launch — saw better results. In fact, they were twice as likely to expect growth of 15% or more over the next five years, PwC found.

In conducting the research, PwC researchers identified five strategies which contribute to effective innovation efforts. They include:

  • Use smart metrics to measure innovation success: Whatever you invest, if you track the benefits of innovation by how it boosts revenue and contains cost – along with building sales – you’ve likely got a sustainable model. Sixty-nine percent of respondents named sales growth as the most important way to measure innovation success.
  • Don’t make “blind bets” — build viable business initiatives: Make sure you find a way to square your innovation strategy with your business strategy. And be aware that doing so may be challenging. The PwC report notes that 65% of companies investing 15% or more of their revenue in innovation saw connecting innovation with business goals was their top strategic challenge.
  • Create silo-busting innovation models: To succeed at innovation, break down traditional organization barriers within and outside of your organization, which helps you leverage a wider pool of ideas, insights, talents and technology. Consider more-inclusive operating models like open innovation, design thinking and co-creation with partners, customers and supplies rather than traditional R&D. Thirty-five percent of PwC respondents reported that customers were their most important innovation partners.
  • Leverage a broad base of human experience: See to it that your innovation teams seek input from across a variety of disciplines, rather than letting technology drive your process. For example, while big data may help you know how customers behave, data alone won’t explain why they behave that way. It’s better to bring the right human judgment and intuition to bear on the data rather than sticking strictly with IT experts. Sixty percent of companies surveyed said that internal employees help to drive innovation within their organization.
  • Support technical innovation: While technology is far from the only tool you can use to innovate, it remains a compelling option. Many companies looking to technology to create markets for novel products and services that don’t yet exist, and to meet needs that customers may not even know they have. Half of PwC’s respondents rated technology partners as their most important innovation collaborators.

So, what can the healthcare industry learn from this study? A few things come to mind.

For one thing, I believe that healthcare leaders could do far more to turn silo-busting activities into group innovation projects. In other words, don’t just merge data from different departments into a common database, involve the people in those departments with the process, and ask them how breaking down barriers could change the organization in a positive way.

Another thing that comes to mind that healthcare technology leaders could stand to integrate non-technical opinions into innovation efforts. Right now, health IT organizations are remarkably siloed themselves, and while they may involve clinicians in their process at times, it’s rare for them to take in the opinions of non-medical employees who don’t use advanced IT functions very often. (Yes, a janitorial services worker may have something to offer.)

And what about picking the right metrics to measure innovation success? Of course, existing models emphasizing clinical improvement aren’t misguided, nor are measures of IT performance, but there’s more to consider. Particularly within the ecosystem of a large hospital, as many departments outside IT care delivery which contribute to the organization’s overall health.

Ultimately, what makes innovation valuable is the extent to which it draws upon an organization’s unique strengths.  But it never hurts to take broad principles like these into account, as they may help you extract the full benefits of the innovation process.

Deriving ROI from Data-driven EMR Clinical Optimization

Posted on June 28, 2017 I Written By

The following is a guest blog post by Justin Campbell Vice President, Strategy, at Galen Healthcare Solutions.  Learn more about their work by downloading their EHR Clinical Optimization Whitepaper.

Resistance to change is natural. People are uncomfortable with it. Organizations are frightened by it. Acceptance of healthcare information technology took a long time and even in these first two decades of a new century, despite incentives such as the Meaningful Use program, and promises of increased efficiency, implementation of Electronic Medical Records has been a bumpy ride.

Between 2008 and 2016, healthcare organizations spent more than 20 billion dollars adopting electronic health record systems. Many different approaches were applied. Many HCOs decided to act quickly, using what we now call a “Big Bang” fix. Installations of generic systems were in place but users of the new systems were unhappy. In 2013, with the process well underway throughout the nation, two thirds of doctors polled said they used EMR systems unwillingly, with 87% of these aggravated physicians complaining about usability and 92% of physician practices complaining that their EMRs were “clunky” and/or too difficult. Specifically, only 35% reported that it had become easier to respond to patient issues, one third said they could not more effectively manage patient treatment plans, and despite the belief that technology would permit caregivers to spend more time with their patients, only 10% said this was occurring.

The medical side was not alone in expressing dissatisfaction. Hospital executive and IT employees who had replaced their Electronic Health Record systems reported higher than expected costs, layoffs, declining revenues, disenfranchised clinicians and serious misgivings about the benefits gained:

  • 14% of all hospitals that replaced their original EMR since 2011 were losing inpatient revenue at a pace that would not support the total cost of their replacement EMR
  • 87% of hospitals facing financial challenges now regret the decision to change systems
  • 63% of executive-level respondents admitted they feared losing their jobs as a result of the EMR replacement process
  • 66% of the system users believe that interoperability and patient data exchange functionality have declined.


Not all reviews are negative. There is strong support and appreciation for EMRs in some Healthcare Delivery Organizations (HDOs) who believe well-designed EMRs save time and support clinical workflows. But, there is no escaping the majority sentiment: EMRs are not designed for the way providers think and work.

Today, most HDOs are at a crossroads. They can start over with a new EMR or optimize the one they have. The case for a do-over is supported by sub-standard vendor support for their existing systems and the increase in mergers and acquisitions, which drive system consolidation. One fifth of large practices and clinics report they intend to replace their EMRs and studies show that the EMR replacement markets will likely grow at an annual rate of 7%-8% over the next five years. The case for the status quo is made primarily by the HCOs that do not have the financial resources to undertake EMR replacement.

All options face the same key inter-related questions: how to generate additional margin? How to maximize return on technology investments? Which path will best serve the HCO, caregivers and patients?

This is a bit of vicious circle. HCOs are cash-strapped and the transition from fee for service to value-based care exerts downward cost pressures, exacerbating the problem. But patchwork fixes have not resolved that problem. Alternatively, some attempted to do too much too quickly and became frustrated because they lacked the depth of experience and knowledge to perform remediation. And, as KPMG concluded after studying the problem, “The length of time to resolve the issues increased and frustrations mounted as clinical, senior management, IT and human resources staff found themselves spinning their wheels.”

Like a patient being pressured to swallow medicine, HDOs are beginning to accept their situation. According to a recent survey conducted by KPMG in collaboration with CHIME, 38% of 112 respondents ranked EMR/EMR optimization as their top choice for the majority of their capital investments for the next three years.

EMR adoption is already approaching maximum levels. Consequently, healthcare delivery organizations have begun to shift their EMR strategies from short-term clinical documentation data repositories to long-term assets with substantial functionality in support of clinical decisions, health maintenance planning and quality reporting. They are coming to see their IT investments as platforms rather than limited systems of record or glorified data banks. In short, they now understand that the capture of information is only the most basic attribute of an EMR, and that instead, the EMR in which they invest can be flexible and extensible, capable of adopting emerging technologies that are driving insights to the point of care.

Assess opportunity, formulate strategy, improve usability & derive additional ROI & by downloading our EHR Clinical Optimization Whitepaper.

About Justin Campbell
Justin is Vice President, Strategy, at Galen Healthcare Solutions. He is responsible for market intelligence, segmentation, business and market development and competitive strategy. Justin has been consulting in Health IT for over 10 years, guiding clients in the implementation, integration and optimization of clinical systems. He has been on the front lines of system replacement and data migration and is passionate about advancing interoperability in healthcare and harnessing analytical insights to realize improvements in patient care. Justin can be found on Twitter at @TJustinCampbell and LinkedIn.

About Galen Healthcare Solutions

Galen Healthcare Solutions is an award-winning, #1 in KLAS healthcare IT technical & professional services and solutions company providing high-skilled, cross-platform expertise and proud sponsor of the Tackling EHR & EMR Transition Series. For over a decade, Galen has partnered with more than 300 specialty practices, hospitals, health information exchanges, health systems and integrated delivery networks to provide high-quality, expert level IT consulting services including strategy, optimization, data migration, project management, and interoperability. Galen also delivers a suite of fully integrated products that enhance, automate, and simplify the access and use of clinical patient data within those systems to improve cost-efficiency and quality outcomes. For more information, visit www.galenhealthcare.com. Connect with us on Twitter, Facebook and LinkedIn.

We Can’t Afford To Be Vague About Population Health Challenges

Posted on June 19, 2017 I Written By

Anne Zieger is veteran healthcare editor and analyst with 25 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

Today, I looked over a recent press release from Black Book Research touting its conclusions on the role of EMR vendors in the population health technology market. Buried in the release were some observations by Alan Hutchison, vice president of Connect & Population Health at Epic.

As part of the text, the release observes that “the shift from quantity-based healthcare to quality-based patient-centric care is clearly the impetus” for population health technology demand. This sets up some thoughts from Hutchison.

The Epic exec’s quote rambles a bit, but in summary, he argues that existing systems are geared to tracking units of care under fee-for-service reimbursement schemes, which makes them dinosaurs.

And what’s the solution to this problem? Why, health systems need to invest in new (Epic) technology geared to tracking patients across their path of care. “Single-solution systems and systems built through acquisition [are] less able to effectively understand the total cost of care and where the greatest opportunities are to reduce variation, improve outcomes and lower costs,” Hutchison says.

Yes, I know that press releases generally summarize things in broad terms, but these words are particularly self-serving and empty, mashing together hot air and jargon into an unappetizing patty. Not only that, I see a little bit too much of stating as fact things which are clearly up for grabs.

Let’s break some of these issues down, shall we?

  • First, I call shenanigans on the notion that the shift to “value-based care” means that providers will deliver quality care over quantity. If nothing else, the shifts in our system can’t be described so easily. Yeah, I know, don’t expect much from a press release, but words matter.
  • Second, though I’m not surprised Hutchison made the argument, I challenge the notion that you must invest in entirely new systems to manage population health.
  • Also, nobody is mentioning that while buying a new system to manage pop health data may be cleaner in some respects, it could make it more difficult to integrate existing data. Having to do that undercuts the value of the new system, and may even overshadow those benefits.

I don’t know about you, but I’m pretty tired of reading low-calorie vendor quotes about the misty future of population health technology, particularly when a vendor rep claims to have The Answer.  And I’m done with seeing clichéd generalizations about value-based care pass for insight.

Actually, I get a lot more out of analyses that break down what we *don’t* know about the future of population health management.

I want to know what hasn’t worked in transitioning to value-based reimbursement. I hope to see stories describing how health systems identified their care management weaknesses. And I definitely want to find out what worries senior executives about supporting necessary changes to their care delivery models.

It’s time to admit that we don’t yet know how this population health management thing is going to work and abandon the use of terminally vague generalizations. After all, once we do, we can focus on the answering our toughest questions — and that’s when we’ll begin to make real progress.