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ICD-10 Preparedness

Posted on May 12, 2015 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.

The following is some email comments from Richard D. Tomlinson, RN and Founder of Nuclei Health Consultancy, in reply to my post on ICD-10 Business Areas of Concern. They weren’t intended for posting, but I thought they were quite insightful and so Rick gave me permission to share them.

Wonderful post (as always) relative to our issues driving yet another future-state condition in healthcare, namely ICD-10. If I may, I would like to approach ICD-10 from another perspective.

While everyone knows that ICD-10 is (eventually) a reality for U.S. healthcare organizations, I convey there is much more to addressing ICD-10 CM/PCS than simply “making the conversion” or “dual coding” as benchmarks towards success. My own list of preparedness relative to ICD-10 is somewhat different than yours and designed to combine strategic as well as tactile integration to address ICD-10 CM/PCS.

1. Clinical Documentation Improvement process.
2. Roust education via clinical case studies showing the BUSINESS CASE IMPACTS downstream of inadequate clinical documentation & coding.
3. ICD-10 Gap analysis current-state to include clinical and financial gaps.
4. Validation testing of via test patient build/coding.
5. EHR optimization specific to ICD-10 (MORE is NOT BETTER).
6. Evaluation of CAC (Computer Assisted Coding).
7. Evaluation of alternative coding resources (e.g. outsourcing).
8. Viability Reporting to C-Suite (not simply “on track” reporting. It’s not a project; it’s an initiative. Establish and report on critical success factors).
9. Establishment of robust clinical documentation/ICD-10 ad hoc committees. Include CMIO or provider champion/HIM/financial/quality/informatics/IT
10. Establishment of robust analytics to reverse engineer denials (where/what/whom) and specific identification of mitigation actions (e.g. education, CDI, etc) and processes.

The bottom line in my view is this; any organization treating ICD-10 as a “conversion” is headed for significant problems in terms of denials and missed revenue capture. ICD-10 should be viewed by the C-Suite specifically as a platform to improve patient safety/care, to improve clinical documentation, improve quality measures, and a specific strategy to reduce costs and increase potential revenue capture. Properly deployed, ICD-10 initiatives can actually accomplish all of this. My suggestion to my clients is to approach ICD-10 strategically, not merely as a conversion process, and develop a plan incorporating the measures I’ve indicated above. Serious Measurement of these factors will be required, regardless of facility type or size.

Lastly, I think some organizations are mistakenly treating this not only as a “conversion” but also siloing this to the small HIM or coding backroom as a problem for the coders. This approach will paint the coders into an unfortunate corner, and may create a situation where optimum revenue capture opportunities are lost…forever. For example, improper coding of a patient acquiring bed sores while inpatient may result in denials and reduce certain quality scores inappropriately. When you consider that coding is the final life blood touchpoint of revenue generation, it’s time for the C-Suite to leverage ICD-10 as a strategy to place importance of improved clinical documentation as a business case, and measure the clinical, financial, and operational impacts to the organization.

Solving the Hospital Readmissions Problem

Posted on March 6, 2014 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.

One of the most interesting things I wrote about thanks to the HIMSS conference was what I called the real cause of hospital readmissions. I’m still interested in working with more hospitals to verify the data that’s presented in that blog post, but I’ll be surprised if it doesn’t play out as an important finding when it comes to reducing hospital readmissions.

In the post, I probably was a little aggressive in my statements about how the hospital can reduce readmissions through their own actions versus depending on home health, primary care doctors, or post-acute care providers. The good news is that my great readers always hold me accountable when I step too far over the line. In this case, Richard D. Tomlinson, RN, BSME, CMUP and Founder & CEO of Nuclei Health Consultancy, offered up a deeper perspective on the complexities associated with solving the hospital readmission problem.

I would like to take a moment to provide some perspective relative to your blog post today.

Hospital readmissions are, of course, clinically complex at times. In actuality, the risk for readmission can be influenced/increased due to lack of or missed opportunity for interventions prior to patient discharge. Effective quality measures, and robust analytics, with effective data feedback and clinical governance, can be deployed as components to an overall readmission reduction strategy; more on that later.

When we discuss readmissions we must consider the fact every case is unique; the circumstances, follow up care, coordination with 3rd party caregivers/providers (e.g. home health), level of transitional intervention, cultural influences, income levels, environment, stress levels. These factors are difficult to quantify, yet I do believe there is a way to translate these factors into reasonable algorithms.

I mentioned readmission as a strategy. Hospital readmission with most health systems I have worked with do not view it in strategic terms, and they must in my opinion in order to be effective (it could be argued Very often, initiatives are tactile in their core and therefore do not have a genesis of the strategic perspective when planning/implementing. As such, critical components such as clinical governance and workflow changes within the readmioften fall by the wayside or are missed completely. Add to that BI tools in the market today are not addressing predictive analysis for readmission risk as a dynamic in the overall care plan. A future-state, effective, model in my opinion would incorporate all the aforementioned factors, and in real-time track these factors and provide the care team with dynamic risk for readmission. That, combined with robust strategic tools and models in place, would have in my view significant outcomes.

Readmission engineering must be redesigned and retooled before any ROI level discussion can take place. Thank you for your fine Site and information exchange. All the Best, RDT.

I agree completely that the hospital readmission problem is not a simple problem. However, I still think a lot of people are looking in the wrong place. I look forward to digging into this problem a lot more. Reducing hospital readmissions is great for everyone involved.