Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

An Evaluation of the ICD-10-CM System: Documentation Specificity, Reimbursement, and Methods for Improvement (International Classification of Diseases; 10th Revision; Clinical Modification)

DeAlmeida, Dilhari (2012) An Evaluation of the ICD-10-CM System: Documentation Specificity, Reimbursement, and Methods for Improvement (International Classification of Diseases; 10th Revision; Clinical Modification). Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Primary Text

Download (2MB) | Preview

Abstract

The research project consists of three studies to identify the documentation specificity, reimbursement and documentation improvement for the upcoming International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) coding system. A descriptive research study using quantitative methods was conducted for the first study, which focused on coding electronic documents across each major diagnostic chapter for ICD-10-CM. The coding was ranked according to the Watzlaf et al (2007) study where a ranking score was provided if the diagnosis was fully captured by the ICD-10-CM code sets. The ICD-10-CM codes were then compared to the current ICD-9-CM codes to evaluate the details on the descriptions of the codes. The rankings were determined by comparing the ICD-10-CM systems for the number of codes, the level of specificity and the ability of the code description to fully capture the diagnostic term based on the resources available at the time of coding.

A descriptive research study using quantitative methods was conducted for the second study, which focused on evaluating the reimbursement differences in coding with ICD-10- CM with and without the supporting documentation. Reimbursement amounts or the MS-DRG (Medicare Severity Diagnosis Related Groups) weight differences were examined to demonstrate the amount of dollars lost due to incomplete documentation. Reimbursement amounts were calculated by running the code set on the CMS ICD-10 grouper.

An exploratory descriptive research study using qualitative methods was conducted for the third study which focused on developing a documentation improvement toolkit for providers and technology experts to guide them towards an accurate selection of codes. Furthermore a quick reference checklist geared towards the physician, coders and the information technology development team was developed based on their feedback and documentation needs.

The results of the studies highlighted the clinical areas which needed the most documentation attention in order to accurately code in ICD-10-CM and the associated potential loss of revenue due to absent documentation. Further, the results from the educational tool kit could be used in the development of a better inpatient Computer Assisted Coding (CAC) product.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
DeAlmeida, Dilharidrd7@pitt.eduDRD7
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairWatzlaf, Valerievalgeo@pitt.eduVALGEO
Committee MemberAbdelhak, Mervatabdelhak@pitt.eduABDELHAK
Committee MemberParmanto, Bambangparmanto@pitt.eduPARMANTO
Committee MemberRubinstein, Elaineenr@pitt.eduENR
Date: 17 September 2012
Date Type: Publication
Defense Date: 22 June 2012
Approval Date: 17 September 2012
Submission Date: 10 July 2012
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 267
Institution: University of Pittsburgh
Schools and Programs: School of Health and Rehabilitation Sciences > Health and Rehabilitation Sciences
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: ICD-10-CM; Documentation improvement; medical coding; reimbursement
Date Deposited: 17 Sep 2012 16:41
Last Modified: 15 Nov 2016 13:59
URI: http://d-scholarship.pitt.edu/id/eprint/12725

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item