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The MedMetrics blog provides comments and insights regarding the world of Workers’ Compensation, principally, issues that are medically-related. The blog offers viewpoints regarding issues affecting the industry written by persons who have long experience in the industry. Our intent is to offer additional fabric, perspective, and hopefully, inspiration to our readers.

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Wednesday, May 28, 2014

Predict Claim Risk with Diagnostic Severity Scores

by Karen Wolfe

Predicting and measuring claim risk is an important effort in managing Workers’ Compensation claim costs. Huge sums of money are allotted to sophisticated predictive modeling initiatives hoping to tag the claims that will be the most costly. Scores of analytic professionals are put to the task and when high risk claims are identified, additional resources are applied to mitigate impending damage. Yet, one very powerful measure of claim risk remains virtually untapped and ignored by the legions of analysts.

Diagnostic codes
Every medical bill submitted for payment contains diagnostic information in the form of standard codes. The codes, assigned by the treating physician, describe the injury or illness that triggered the claim.

The codes, ICD-9 codes, are intended to justify treatment rendered and the fees charged. ICD-9’s codes are the International Classification of Diseases published by the World Health Organization (WHO). On Workers’ Compensation bills, they can tell us what the medical problem is.

Codes ignored
ICD-9 codes are part of the collected information from the bill, however, they are not well understood or used in claim management. That ICD-9 codes are ignored by claims professionals is perfectly reasonable.

ICD-9 codes on the claim are just codes. They do not contain the description of the injury and there are thousands of them. Adjusters do not have the time or inclination to search for code descriptions. Instead, they rely on the NCCI classifications of type of injury, body part, and cause. Nevertheless, neither ICD-9 codes nor NCCI classifications by themselves can define the seriousness of the medical condition.

Coding the codes
To define injury severity, individual ICD-9 codes must be graded for medical severity using a simple scoring methodology. For instance, multiple codes are used by physicians to describe back injuries and they have very different severity scores. A low back strain will not be scored as high for seriousness as a spinal cord injury. Likewise, a fracture of the tibia in a healthy young adult will have a lower severity total score than a fracture of a tibia of a 60 year old who also has diabetes.

Multiple codes on a claim
Rarely is only one ICD-9 code assigned to a claim. In fact, when a claim is complex or when recovery is slow or compromised, multiple ICD-9 codes accrue to the claim. Older claims involving many treatments over time can literally contain pages of ICD-9 codes. Each time an injured worker is referred to a new specialist, new codes are added.

Comorbidities
Comorbidities such as diabetes, heart disease, or obesity that add complexity, delayed recovery, and cost to a claim can also be tracked through ICD-9 codes. When the treating physician notes such a condition, the code will be on the bill along with the injury codes. Treating physicians should be encouraged to include comorbidity diagnostic codes because they impact recovery.

Migrating claims
Claim diagnostic scores accumulate as the claim progresses. Total diagnostic scores are tallied and monitored by the computer system. As claim diagnostic scores accrue, automatic alerts are sent when the total reaches a pre-determined set point.

Importantly, migrating claims can never go unnoticed!

Moving indicators
Claim diagnostic scores are dynamic moving indicators of risk and exposure in a claim. Electronic monitoring claim ICD-9’s continuously offers critical information about current claim risk status. The claim diagnostic risk tally remains in the system background, interfering with nothing and no one. However, when the set-point is reached, an alert is sent to the appropriate person so that action can be mobilized.

As new medical bills arrive and new diagnoses are accrued, the diagnostic risk score for a claim mounts. While not the only indicator of claim risk, diagnostic severity scoring is powerful, current information. A high diagnostic severity score absolutely predicts high claim risk and cost.

Karen Wolfe is the founder and President of MedMetrics, LLC, a Workers’ Compensation analytics company. MedMetrics offers online apps that super-charge medical management by linking analytics to operations. MedMetrics apps include Diagnostic Severity Predictive Scoring with Alerts. karenwolfe@medmetrics.org

 

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