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Indiana Health System Takes On Infection Control With Predictive Analytics

Posted on February 22, 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.

At Indiana University Health, a 15-hospital non-profit health system, they’ve taken aim at reducing the rate of central-line associated bloodstream infections – better known to infection control specialists as CLABSIs.

According to the CDC, CLABSIs are preventable, but at present still result in thousands of deaths each year and add billions of dollars in costs to U.S. healthcare system spending. According to CDC data, patient mortality rates related to CLABSI range from 12% to 25%, and the infections cost $3,700 to $36,000 per episode.

Hospitals have been grappling with this problem for a long time, but now technology may offer preventive options. To cut its rate of CLABSIs, IU Health has decided to use predictive analytics in addition to traditional prevention strategies, according to an article in the AHA’s Hospitals & Health Systems magazine.

Reducing the level of hospital-acquired infections suffered by your patients always makes sense, but IU Health arguably has additional incentives to do it. The decision to attack CLABSIs comes as IU Health takes on a strategic initiative likely to demand a close watch on such metrics. At the beginning of January, Indiana University Health kicked off its participation in the CMS Next Generational Accountable Care Organization Model, putting its ACO in the national spotlight as a potential model for improving fee-for-service Medicare.

According to H&HN, IU Health has launched its predictive analytics pilot for CLABSI prevention at its University Hospital location, which includes a 600-bed Level I trauma center and 300-bed tertiary care center which also serves as one of the 10 largest transplant centers in the U.S.

Executives there told the magazine that the predictive analytics effort was an outgrowth of its long-term EMR development effort, which has pushed them to streamline data flow across platforms and locations over the past several years.

The hospital’s existing tech prior to the predictive analytics effort did include an e-surveillance program for hospital-acquired infections, but even using the full powers of the EMR and e-surveillance solution together, the hospitals could only monitor for CLABSI which had already been diagnosed.

This retrospective approach succeeded in cutting IU Health’s CLABSI rate from 1.7 CLABSIs over central-line days in 2015 to 1.2 last year. But IU Health hopes to improve the hospital’s results even further by getting ahead of the game.

Last year, the system implemented a data visualization platform designed to give providers a quick-and-easy look at data in real time. The platform lets managers keep track of many important variables easily, including whether hospital units have skipped any line maintenance activities or failed to follow-through on CLABSI bundles. It’s also saving time for nurse managers, who used to have to track data manually, and letting them check on patient trend line data at a glance.

The H&HN article doesn’t say whether the hospital has managed to cut its CLABSI rate any further, but it’s hard to imagine how predictive analytics could deliver zero results. Let’s wish IU Health further luck in cutting CLABSI rates down further.

National Health Service Hospitals Use Data Integration Apps

Posted on February 20, 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.

While many providers in the US are still struggling with selecting and deploying apps, the UK National Health Service trusts are ready to use them to collect vital data.

According to the New Scientist, the four National Health Services serving the United Kingdom are rolling out two apps which help patients monitor their health at home. Both of the apps, which are being tested at four hospitals in Oxfordshire, UK, focus on management of a disease state.

One, called GDm-health, helps manage the treatment of gestational diabetes, which affects one in 10 pregnant women. Women use the app to send each of their blood glucose readings to the clinician monitoring their diabetes. The Oxford University Institute of Biomedical Engineering led development of the app, which has allowed patients to avoid needless in-person visits. In fact, the number of patient visits has dropped by 25%, the article notes.

The other app, which was also developed by the Institute, helps patients manage chronic obstructive pulmonary disease, which affects between 1 million and 1.5 million UK patients. COPD patients check their heart rate and blood oxygen saturation every day, entering each result into the app.

After collecting three months of measurements, the app “learns” to recognize what a normal oxygen sat level is for that patient. Because it has data on what is normal for that patient, it will neither alert clinicians too often nor ignore potential problems. During initial use the app, which already been through a 12-month clinical trial, cut hospital admissions among this population by 17% and general practitioner visits by 40%.

NHS leaders are also preparing to launch a third app soon. The technology, which is known as SEND, is an iPad app designed to collect information on hospital patients. As they make their rounds, nurses will use the app to input data on patients’ vital signs. The system then automatically produces an early warning score for each patient, and provides an alert if the patient’s health may be deteriorating.

One might think that because UK healthcare is delivered by centralized Trusts, providers there don’t face data-sharing problems in integrating data from apps like these. But apparently, we would be wrong. According to Rury Holman of the Oxford Biomedical Research Centre, who spoke with New Scientist, few apps are designed to work with NHS’ existing IT systems.

“It’s a bit like the Wild West out there with lots of keen and very motivated people producing these apps,” he told the publication. “What we need are consistent standards and an interface with electronic patient records, particularly with the NHS, so that information, with permission from the patients, can be put to use centrally.”

In other words, even in a system providing government-delivered, ostensibly integrated healthcare, it’s still hard to manage data sharing effectively. Guess we shouldn’t feel too bad about the issues we face here in the US.

Many Providers Still Struggle With Basic Data Sharing

Posted on February 15, 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.

One might assume that by this point, virtually every provider with a shred of IT in place is doing some form of patient data exchange. After all, many studies tout the number of healthcare data send and receive transactions a given vendor network or HIE has seen, and it sure sounds like a lot. But if a new survey is any indication, such assumptions are wrong.

According a study by Black Book Research, which surveyed 3,391 current hospital EMR users, 41% of responding medical record administrators find it hard to exchange patient health records with other providers, especially if the physicians involved aren’t on their EMR platform. Worse, 25% said they still can’t use any patient information that comes in from outside sources.

The problem isn’t a lack of interest in data sharing. In fact, Black Book found that 81% of network physicians hoped that their key health system partners’ EMR would provide interoperability among the providers in the system. Moreover, the respondents say they’re looking forward to working on initiatives that depend on shared patient data, such as value-based payment, population health and precision medicine.

The problem, as we all know, is that most hospitals are at an impasse and can’t find ways to make interoperability happen. According to the survey, 70% of hospitals that responded weren’t using information outside of their EMR.  Respondents told Black Book that they aren’t connecting clinicians because external provider data won’t integrate with their EMR’s workflow.

Even if the data flows are connected, that may not be enough. Researchers found that 22% of surveyed medical record administrators felt that transferred patient information wasn’t presented in a useful format. Meanwhile, 21% of hospital-based physicians contended that shared data couldn’t be trusted as accurate when it was transmitted between different systems.

Meanwhile, the survey found, technology issues may be a key breaking point for independent physicians, many of whom fear that they can’t make it on their own anymore.  Black Book found that 63% of independent docs are now mulling a merger with a big healthcare delivery system to both boost their tech capabilities and improve their revenue cycle results. Once they have the funds from an acquisition, they’re cleaning house; the survey found that EMR replacement activities climbed 52% in 2017 for acquired physician practices.

Time for a comment here. I wish I agreed with medical practice leaders that being acquired by a major health system would solve all of their technical problems. But I don’t, really. While being acquired may give them an early leg up, allowing them to dump their arguably flawed EMR, I’d wager that they won’t have the attention of senior IT people for long.

My sense is that hospital and health system leaders are focused externally rather than internally. Most of the big threats and opportunities – like ACO integration – are coming at leaders from the outside.

True, if a practice is a valuable ally, but independent of the health system, CIOs and VPs may spend lots of time and money to link arms with them technically. But once they get in house, it’s more of a “get in line” situation from what I’ve seen.  Readers, what is your experience?

Hospital EMR and EHR Milestone – 1 Million Pageviews

Posted on February 13, 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.


I was just looking over the stats for Hospital EMR and EHR and noticed that were right at 1 million pageviews for this site. That’s a pretty amazing accomplishment for such a niche site. Especially since we’ve moved a lot of the traffic off of the site and onto our email list. Looks like this will make the 1111th blog post for Hospital EMR and EHR and it has 25,293 email subscribers (Subscribe Here) to the content we generate on this site. That’s a really amazing thing since we email those on the list 3-5 times per week. Hospital EMR and EHR has become a really important part of Healthcare Scene and we’re happy to contribute to the hospital healthcare IT industry at large.

On this milestone, we want to thank some of our recent sponsors that have made what we do possible. If you enjoy reading our content, please take a second to look through our sponsors to see if one of them can help make your life easier.

Stericycle Communication Solutions – Stericycle has been a long time sponsor of multiple Healthcare Scene blogs. Plus, they have written the Communication Solutions Series of blog posts which are an excellent read if you’re interested in strategies for healthcare engagement. They also have a free guide that addresses the question Patient or Consumer? This is a great company that’s really working to make the patient experience better.

Galen Healthcare Solutions – We’ve had the chance to work with Galen Healthcare Solutions across a number of different mediums including email, display ads, and sponsored content. You’ve probably read their Tackling EHR and EMR Transition series where they’ve shared a lot of great insights into how your organization should handle archiving old legacy data and also how you can migrate data from one EHR to a new EHR. Both of these topics are going to become increasingly important and Galen Healthcare Solutions have become real experts. Be sure to check out their Free Data Archive whitepaper and their Free EHR Migration whitepaper.

Medical Software Advice (A Gartner Company) – I’ve been working with Medical Software Advice for a very long time. They’ve provided a really great service to my readers around EHR selection. With 300+ EHR vendors out there, it can be hard to cut through the various options. Medical Software Advice has helped out hundreds of companies with their EHR selection including setting up EHR demos and getting EHR pricing. Check out their Top 5 EHR Software list.

4Med – 4Med is another partner that we’ve worked with for a very long time. They’ve consistently offered some great educational content (include CEUs) for the healthcare IT professional. Here are some of their upcoming courses that are great examples: HIPAA Compliance Officer, Patient Centered Medical Home Project Manager, and ACI MACRA-MIPA Project Manager. Each of those links gives you a discount off the regular registration price.

HIPAAOne – HIPAA compliance has always been essential to healthcare, but meaningful use and now MACRA have made the HIPAA Risk Assessment a priority for many organizations. What’s shocking to me is how many organizations haven’t done a proper HIPAA Risk assessment. HIPAA One has created a really great software solution to automate your HIPAA Risk Assessment. I like to call them the Tax Act or H&R Block software for HIPAA compliance. If you’ve got a stack of Excel spreadsheets managing your HIPAA Risk Assessment, take a second to look at how HIPAAOne can make your job easier. Also, they have a great 5 min HIPAA compliance quiz to assess some of key HIPAA compliance areas.

We’re also excited to announce our new Healthcare Scene media kit. It’s been amazing to see the evolution of what we’re able to offer healthcare IT vendors. We really want to develop deep relationships with our advertisers and not just take their money and run. We think that’s the best thing for both our readers and our advertisers. If you’re trying to get the word out to the hospital market, let us how we can help on our contact us page.

I couldn’t finish this post without saying a massive thank you to our readers. It’s hard to know exactly what kind of impact you’re having when you blog. However, every once in a while you get a glimpse into the benefit your blog posts are providing readers and that makes it all worthwhile. Thank you to each of you who read and support our work.

Now, on to the next million pageviews!

An Approach For Privacy – Protecting Big Data

Posted on February 6, 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.

There’s little doubt that the healthcare industry is zeroing in on some important discoveries as providers and researchers mine collections of clinical and research data. Big data does come with some risks, however, with some observers fearing that aggregated and shared information may breach patient privacy. However, at least one study suggests that patients can be protected without interrupting data collection.

In what it calls a first, a new study appearing in the Journal of the American Medical Informatics Association has demonstrated that protecting the privacy of patients can be done without too much fuss, even when the patient data is pulled into big data stores used for research.

According to the study, a single patient anonymization algorithm can offer a standard level of privacy protection across multiple institutions, even when they are sharing clinical data back and forth. Researchers say that larger clinical datasets can protect patient anonymity without generalizing or suppressing data in a manner which would undermine its use.

To conduct the study, researchers set a privacy adversary out to beat the system. This adversary, who had collected patient diagnoses from a single unspecified clinic visit, was asked to match them to a record in a de-identified research dataset known to include the patient. To conduct the study, researchers used data from Vanderbilt University Medical Center, Northwestern Memorial Hospital in Chicago and Marshfield Clinic.

The researchers knew that according to prior studies, the more data associated with each de-identified record, and the more complex and diverse the patient’s problems, the more likely it was that their information would stick out from the crowd. And that would typically force managers to generalize or suppress data to protect patient anonymity.

In this case, the team hoped to find out how much generalization and suppression would be necessary to protect identities found within the three institutions’ data, and after, whether the protected data would ultimately be of any use to future researchers.

The team processed relatively small datasets from each institution representing patients in a multi-site genotype-disease association study; larger datasets to represent patients in the three institutions’ bank of de-identified DNA samples; and large sets which stood in for each’s EMR population.

Using the algorithm they developed, the team found that most of the data’s value was preserved despite the occasional need for generalization and suppression. On average, 12.8% of diagnosis codes needed generalization; the medium-sized biobank models saw only 4% of codes needing generalization; and among the large databases representing EMR populations, only 0.4% needed generalization and no codes required suppression.

More work like this is clearly needed as the demand for large-scale clinical, genomic and transactional datasets grows. But in the meantime, this seems to be good news for budding big data research efforts.

Boston Children’s Benefits From the Carequality and CommonWell Agreement

Posted on February 3, 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.

Recently two of the bigger players working on health data interoperability – Carequality and the CommonWell Health Alliance – agreed to share data with each other. The two, which were fierce competitors, agreed that CommonWell would share data with any Carequality participant, and that Carequality users would be able to use the CommonWell record locator service.

That is all well and good, but at first I wasn’t sure if it would pan out. Being the cranky skeptic that I am, I assumed it would take quite a while for the two to get their act together, and that we’d hear little more of their agreement for a year or two.

But apparently, I was wrong. In fact, a story by Scott Mace of HealthLeaders suggests that Boston Children’s Hospital and its physicians are likely to benefit right away. According to the story, the hospital and its affiliated Pediatric Physicians Organization at Children’s Hospital (PPOC) will be able to swap data nicely despite their using different EMRs.

According to Mace, Boston Children’s runs a Cerner EMR, as well as an Epic installation to manage its revenue cycle. Meanwhile, PPOC is going live with Epic across its 80 practices and 400 providers. On the surface, the mix doesn’t sound too promising.

To add even more challenges to the mix, Boston Children’s also expects an exponential jump in the number of patients it will be caring for via its Medicaid ACO, the article notes.

Without some form of data sharing compatibility, the hospital and practice would have faced huge challenges, but now it has an option. Boston Children’s is joining CommonWell, and PPOC is joining Carequality, solving a problem the two have struggled with for a long time, Mace writes.

Previously, the story notes, the hospital tried unsuccessfully to work with a local HIE, the Mass Health Information HIway. According to hospital CIO Dan Nigrin, MD, who spoke with Mace, providers using Mass Health were usually asked to push patient data to their peers via Direct protocol, rather than pull data from other providers when they needed it.

Under the new regime, however, providers will have much more extensive access to data. Also, the two entities will face fewer data-sharing hassles, such as establishing point-to-point or bilateral exchange agreements with other providers, PPOC CIO Nael Hafez told HealthLeaders.

Even this step upwards does not perfect interoperability make. According to Micky Tripathi, president and CEO of the Massachusetts eHealth Collaborative, providers leveraging the CommonWell/Carequality data will probably customize their experience. He contends that even those who are big fans of the joint network may add, for example, additional record locator services such as one provided by Surescripts. But it does seem that Boston Children’s and PPOC are, well, pretty psyched to get started with data sharing as is.

Now, back to me as Queen Grump again. I have to admit that Mace paints a pretty attractive picture here, and I wish Boston Children’s and PPOC much success. But my guess is that there will still be plenty of difficult issues to work out before they have even the basic interoperability they’re after. Regardless, some hope of data sharing is better than none at all. Let’s just hope this new data sharing agreement between CommonWell and Carequality lives up to its billing.

Health IT Preserves Idaho Hospital’s Independence

Posted on February 1, 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.

Most of the time, when I write about hospital IT adoption, I end up explaining why a well-capitalized organization is going into the red to implement its EMR. But I recently found a story in RevCycle Intelligence in which a struggling hospital actually seems to have benefitted financially from investing in IT infrastructure. According to the story, a 14-bed critical access hospital in Idaho recently managed to stave off a forced merger or even closure by rolling out an updated EMR and current revenue cycle management technology.

Only a few years ago, Arco, Idaho-based Lost Rivers Medical Center was facing serious financial hurdles, and its technology was very outdated. In particular, it was using an EMR from 1993, which was proving so inflexible that the claims stayed in accounts receivable for an average of 108 days. “We didn’t have wifi,” CEO Brad Huerta told the site. “We didn’t have fiber. We literally had copper wires for our phone system…we had an EMR in a technical sense, but nobody was using it. It was a proverbial paperweight.”

Not only was the cost of paying for upgrades daunting, the hospital’s location was as well. Arco is a “frontier” location, making it hard to recruit IT staffers to implement and maintain infrastructure, staff and servers, the story notes. Though “fiercely independent,” as Huerta put it, it was getting hard for Lost Rivers to succeed without merging with a larger organization.

That being said, Huerta and his team decided to stick it out. They feared diluting their impact, or losing the ability to offer services like trauma care and tele-pharmacy, if they were to merge with a bigger organization.

Instead of conceding defeat, Huerta decided to focus on improving the hospital’s revenue cycle performance, which would call for installing an up-to-date EMR and more advanced medical billing tools. After the hospital finished putting in fiber in its area, Lost Rivers invested in athenahealth’s cloud-based EMR and medical billing tools.

Once the hospital put its new systems in place, it was able to turn things around on the revenue cycle front. Total cash flow climbed rapidly, and days in accounts receivable fell from 108 to 52 days.

According to Huerta, part of the reason the hospital was able to make such significant improvements was that the new systems improved workflow. In the past, he told RevCycle Intelligence, providers and staff often failed to code services correctly or bill patients appropriately, which led to financial losses.

Now, doctors chart on laptops, tablets or even phones while at the patients’ bedside. Not only did this improve coding accuracy, it cut down on the amount of time doctors spend in administrative work, giving them time to generate revenue by seeing additional patients.

What’s more, the new system has given Lost Rivers access to some of the advantages of merging with other facilities without having to actually do so. According to the story, the system now connects the critical access hospital with larger health systems, as the athenahealth system captures rule changes made by the other organization and effectively shares the improvements with Lost Rivers. This means the coding proposed by the system gradually gets more accurate, without forcing Lost Rivers to spend big bucks on coding training, Huertas said.

While the story doesn’t say so specifically, I’m sure that Lost Rivers is spending a lot on its spiffy new EMR and billing tech, which must have been painful at least at first. But it’s always good to see the gamble pay off.

An Effective Strategy for Long-term Epic Training

Posted on January 27, 2017 I Written By

The following is a guest blog post by Chris Cooley, Training Advisor at Pivot Point Consulting, a Vaco Company.

Ensuring that you have enough staff to cover day-to-day, new-hire, remedial, and monthly EHR update training is not an easy task. At the most recent Epic User Group Meetings and Spring Councils, sessions dedicated to building steady training teams were among the best attended. To be sure, Epic training is a hot topic in healthcare organizations—particularly as it relates to new hires. Here are some best-practice suggestions to help establish a long-term and successful Epic training program.

The Necessary Evils

eLearning
Many organizations are opting for eLearning in lieu of classroom training to reach multiple groups. The difficulty with this approach is the inability to truly know if the participant grasped the material. Most participants can pass a quick post-exam without completely understanding or retaining the information.

Timing is also an issue. Even a two-day lapse between an eLearning session and practicing the learned material can pose the risk of an 80 percent information loss, requiring retraining or additional support during the first shift following training. That said, when used correctly, eLearning can be quite effective when used in conjunction with traditional classroom training and immediate practice.

For those familiar with Epic, an interactive eLearning session that speaks to the specifics of your organization can easily be implemented in lieu of classroom training. When using eLearning, make sure to follow adult learning principles. Keep courses short, interactive, and challenging to keep end users engaged. To help participants retain information, include built-in exercises to prevent advancing without completing an action.

Classroom Training
In a preceptor-led training model, about four to eight hours of classroom training should be sufficient. Stick to the basics of navigation, terminology, and one or two main workflows to get comfortable working in the system.

For physicians, schedule a one-on-one follow-up with the trainer to set up preference lists and customizations within the same week. Avoid doing this day one or two, as the physician will need to be familiar with the existing orders and sets before customizing further.

Beyond the Classroom

Routine Training Integration
Standard training and orientation programs offer great opportunities to incorporate Epic-specific training elements where applicable. Nurses, for example, have a day or more of skill validation when starting a new position. For every skill they perform, an Epic training opportunity exists. Have participants find the order in Epic, perform the skill, then document the appropriate procedure and follow up. Collaborate with the education department and affected department leaders to add Epic workflows into routine training outlets.

Preceptorship
Learning happens best when on the floor, in the department, or repeatedly completing a task. Assign new hires a preceptor who is well versed in Epic and department workflows. Have them log in and perform the work while the preceptor guides them through their duties. After two to three days of side-by-side work, your new employee should be off and running.

Draw preceptors from within the new employee’s department and remove them from their daily duties when onboarding new hires. Choose your preceptors wisely. Just because Jane Doe is the resident Epic expert on your floor doesn’t mean she’ll be the best preceptor. Look for someone who embodies your organization’s culture, is a cheerleader for Epic, and has the patience to answer the same question multiple times.

Other Considerations

Materials
Materials must be well written, well organized, and—most important—accessible. Often, materials are outdated, in print form only, or not easily found by the end user. The use and regular maintenance of Learning Home Dashboards can ensure the latest materials are organized, intuitive, and available.

Consider turning tip sheets into two-minute-or-less video snippets. More often than not, watching and then repeating a process is preferable to deciphering a tip sheet and/or screen shots—especially for physicians and millennials looking for the quickest answer.

Remedial Training
While new hires account for about 30-50 percent of a trainer’s time, some individuals or departments will always need a little extra help. For example, evaluating a workflow to offer a faster/easier process, retraining, or providing additional one-on-one time with the end user can account for another 20 percent of a trainer’s time.

Update Training
Each month, a new set of Epic updates must be showcased to employees. This can be accomplished via monthly training or eLearning. In my experience, the time to coordinate and deliver monthly update training accounts for about 10 percent of the trainer’s time.

Rounding
End users often struggle in silence. When my trainers are not actively training, or working on materials, they are rounding in the departments they support looking for opportunities to strengthen knowledge. In addition to rounding, trainers attend huddles and meetings, offer help, and bring vital intel about updated or ill-working workflows to the principal trainer’s attention.

Help Desk
Trainers will also spend a good deal of time working “tickets” to assist end users (and often analysts) in identifying and communicating problems and resolutions.

Learning Management System (LMS) Administration
Hundreds of small details go into ensuring that Epic training is meeting the needs of an organization.  Who is expected in training? When and where can training be held? Who has completed training and can be activated in the system? It is imperative to dedicate at least one full time LMS administrator or coordinator to these ongoing Epic needs. Depending on the organization’s size, this may require up to four full-time resources.

Effective Coverage 
The number of Epic trainers needed will vary according to the organization’s size and hiring volume. Depending on the application and the hiring schedule, your principal trainer may be able to handle all training without the support of additional resources. However, I recommend having at least one credentialed trainer available for backup—to cover vacations, assist in remedial training, etc. Consider cross-training to make trainers versatile in related apps. Maintain expertise amongst your trainers by limiting cross-training to three areas of focus.

The example below includes enough trainers to cover the needs of a two hospital system and surrounding clinics in the same geographical location.

CT1: SBO, HB/PB
CT2 ClinDoc, Stork, Orders
CT3 ClinDoc, Beaker, Orders
CT4 Ambulatory, HOD, Cadence
CT5 Ambulatory, HOD, Cadence
CT6 Radiant, Cupid
CT7 Beacon, Willow
CT8 ASAP, OpTime, ANA
CT9 HIM, GC
CT10 HIM, GC

 

PT1 GC, Cadence
PT2 Ambulatory, HOD
PT3 ClinDoc, Stork
PT4 Orders, ASAP, Beaker
PT5 OpTime, ANA
PT6 Radiant, Cupid
PT7 Beacon, Willow
PT8 HIM, HB, PB, SBO

 
Creating partnerships throughout your organization, along with a steady, recurring training schedule, is the key to running an efficient, low-budget training team. With exceptional, easily accessible training materials and operational preceptors, training can be efficient, low-cost, and have employees in their positions with minimal classroom time.

About Chris Cooley
Chris Cooley is a Subject Matter Expert for the LIVESite division of Pivot Point Consulting, a Vaco Company. Previously, she worked as a full-time training manager, with 14 EMR implementations under her belt. With a combined knowledge of adult learning principles, technical writing, project management and the healthcare world, Chris is known for her creative solutions.

Do Health IT Certificate Of Need Requirements Make Sense?

Posted on January 23, 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.

The other day, I read an interesting piece about the University of Vermont Medical Center’s plans to create an integrated EMR connecting its four network hospitals. The article noted that unlike its peers in some other states, UVMC was required to file a Certificate of Need (CON) application with the state before it proceeds with the work.  And that struck me as deserving some analysis.

According to a story appearing in Healthcare Informatics,  UVMC plans to invest an initial $112.4 million in the project, which includes an upgrade to informatics, billing and scheduling systems used by UVMC and network facilities Central Vermont Medical Center, Champlain Valley Physicians Hospital and Elizabethtown Community Hospital. The total costs of implementing and operating the integrated system should hit $151.6 million over the first six years. (For all of you vendor-watchers, UVMC is an Epic shop.)

In its CON application, UVMC noted that some of the systems maintained by network hospitals are 20 years old and in dire need of replacement. It also asserted that if the four hospitals made upgrades independently rather than in concert, it would cost $200 million and still leave the facilities without a connection to each other.

Given the broad outline provided in the article, these numbers seem reasonable, perhaps even modest given what execs are trying to accomplish. And that would be all most hospital executives would need to win the approval of their board and steam ahead with the project, particularly if they were gunning for value-based contracts.

But clearly, this doesn’t necessarily mean that such investments aren’t risky, or don’t stand a chance of triggering a financial meltdown. For example, there’s countless examples of health systems which have faced major financial problems (like this and this),  operational problems (particularly in this case) or have been forced to make difficult tradeoffs (such as this). And their health IT decisions can have a major impact on the rest of the marketplace, which sometimes bears the indirect costs of any mistakes they make.

Given these concerns, I think there’s an argument to be made for requiring hospitals to get CONs for major health IT investments. If there’s any case to be made for CON programs make any sense, I can’t see why it doesn’t apply here. After all, the idea behind them is to look at the big picture rather than incremental successes of one organization. If investment in, say, MRIs can increase costs needlessly, the big bucks dropped on health IT systems certainly could.

Part of the reason I sympathize with these requirements is I believe that healthcare IS fundamentally different than any other industry, and that as a public good, should face oversight that other industries do not. Simply put, healthcare costs are everybody’s costs, and that’s unique.

What’s more, I’m all too familiar with the bubble in which hospital execs and board members often live. Because they are compelled to generate the maximum profit (or excess) they can, there’s little room for analyzing how such investments impact their communities over the long term. Yes, the trend toward ACOs and population health may mitigate this effect to some degree, but probably not enough.

Of course, there’s lots of arguments against CONs, and ultimately against government intervention in the marketplace generally. If nothing else, it’s obvious that CON board members aren’t necessarily impartial arbiters of truth. (I once knew a consultant who pushed CONs through for a healthcare chain, who said that whichever competitor presented the last – not the best — statistics to the room almost always won.)

Regardless, I’d be interested in studying the results of health IT CON requirements in five or ten years and see if they had any measurable impact on healthcare competition and costs.  We’d learn a lot about health IT market dynamics, don’t you think?

Rumor Control: These are the Facts

Posted on January 16, 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.

Why is it that one of the largest challenges on any project is miscommunication and out of control rumors? While many projects need and would benefit from more communication, even with the best of communication plans, project teams can spend more time dispelling false information than proactively communicating.

I believe in strong communication plans for EHR and ERP projects that include a wide range of communication including town halls, newsletters, emails, signage, internet sites, and other methods of sharing correct information. But on every project, no matter how much we communicate, certain hospital staff will find other sources of information.

I can see the rumor coming when an email or conversation starts with “I heard that…” or “Is it true that…”. These are telltale signs that I am about to hear a rumor. Rumors can range from minor details to far-reaching implications such as a perceived change in project scope or even the live date. While most rumors are just annoyances, responding to them and controlling them can be a significant strain on the project team’s time.

I believe that hospitals have a unique challenge in that proactive communication is more challenging than in many traditional businesses because it is common for a large portion of the staff, including nurses and physicians, to rarely check email. As a result, they are often in a position where “hallway conversation” is how they first hear information and are more likely to give it credibility.

While I admit that I have personally never been able to fully eliminate the rumor challenge, I’d like to share several ideas about what I have seen as an effective way to keep the rumor mill under control:

1) Establish a clear Source of Truth – From the very beginning of the project, communicate to every possible audience how decision and communications will be distributed and who they should contact with questions and information. If it doesn’t come from one of the accepted Sources of Truth, its not true. When I lead a project, I prefer to be the Source of Truth – if it doesn’t come from me verbally or in writing, it isn’t true.

2) Encourage questions and respond to all of them timely – When I am running a project, my motto is “Ask me anything, anytime”. At times, I will get dozens or even hundreds of questions a day through meetings, phone calls, texts, and emails. I respond to every question, providing the truth if I have it, or getting them to the person who can provide the truth. Rumors often start because staff members are not getting answers or don’t feel their questions are welcomed. How do I respond to so many requests? I do it immediately so they can’t accumulate – which also helps inspire confidence and a feeling that they can ask rather than assume.

3) Town Halls – I strongly believe that a change management and communication strategy must include town halls. During town halls, project teams should provide an overview of what is occurring that is relevant to the staff, do occasional software demonstrations, and most importantly – field questions. Creating those proactive communication channels is a powerful way to avoid people creating their own truths.

4) Provide the complete truth – Sometimes the answer to a question is not known because it has not been determined, or has not been considered. Sometimes it is not what the person wants to hear. Regardless, provide the truth – and the complete truth. There is nothing wrong with saying that you don’t know – but can find out. Or that a decision has not been made, but now that they have raised the concern we will make it and get back to them. Responding immediately doesn’t always mean providing an answer immediately, as long as the follow-up is done once the answer is available.

5) Communicate Everywhere – A communication plan must be extensive and include many different points of contact. Intranet sites can look impressive and have lots of great information on them – but usually only a small percentage of the staff will check them. Consideration must be given as to how to communicate with contracted employees, physicians, and traveling nurses. This is particularly challenging during an EHR roll-out when all of these parties must be enrolled in training classes and kept up-to-date on the go-live. Find and use every possible communication challenge. There are always questions about how much communication is too much – but they apply to the volume of communication you push through a particular communication channel – not the number of different communication channels you use.

Finally, accept that no matter what you do, rumors will form and will need to be dispelled. Its part of project management and change management that always had existed, and always will. Properly controlled, the rumors can be a minor distraction at worst – entertainment at best.

Please share any ideas you have found to be successful in keeping rumors under control.

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