{"title":"Impact of radio-frequency identification (RFID) technologies on the hospital supply chain: a literature review.","authors":"Alberto Coustasse, Shane Tomblin, Chelsea Slack","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Supply costs account for more than one-third of the average operating budget and constitute the second largest expenditure in hospitals. As hospitals have sought to reduce these costs, radio-frequency identification (RFID) technology has emerged as a solution. This study reviews existing literature to gauge the recent and potential impact and direction of the implementation of RFID in the hospital supply chain to determine current benefits and barriers of adoption. Findings show that the application of RFID to medical equipment and supplies tracking has resulted in efficiency increases in hospitals with lower costs and increased service quality. RFID technology can reduce costs, improve patient safety, and improve supply chain management effectiveness by increasing the ability to track and locate equipment, as well as monitoring theft prevention, distribution management, and patient billing. Despite ongoing RFID implementation in the hospital supply chain, barriers to widespread and rapid adoption include significant total expenditures, unclear return on investment, and competition with other strategic imperatives. </p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":" ","pages":"1d"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797551/pdf/phim0010-0001d.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40266692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tekla B Sanders, Felicia M Bowens, William Pierce, Bridgette Stasher-Booker, Erica Q Thompson, Warren A Jones
{"title":"The road to ICD-10-CM/PCS implementation: forecasting the transition for providers, payers, and other healthcare organizations.","authors":"Tekla B Sanders, Felicia M Bowens, William Pierce, Bridgette Stasher-Booker, Erica Q Thompson, Warren A Jones","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This article will examine the benefits and challenges of the US healthcare system's upcoming conversion to use of the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS) and will review the cost implications of the transition. Benefits including improved quality of care, potential cost savings from increased accuracy of payments and reduction of unpaid claims, and improved tracking of healthcare data related to public health and bioterrorism events are discussed. Challenges are noted in the areas of planning and implementation, the financial cost of the transition, a shortage of qualified coders, the need for further training and education of the healthcare workforce, and the loss of productivity during the transition. Although the transition will require substantial implementation and conversion costs, potential benefits can be achieved in the areas of data integrity, fraud detection, enhanced cost analysis capabilities, and improved monitoring of patients' health outcomes that will yield greater cost savings over time. The discussion concludes with recommendations to healthcare organizations of ways in which technological advances and workforce training and development opportunities can ease the transition to the new coding system.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":" ","pages":"1f"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329203/pdf/phim0009-0001f.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40193913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lessons learned from an ICD-10-CM clinical documentation pilot study.","authors":"Jackie Moczygemba, Susan H Fenton","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>On October 1, 2013, the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) will be mandated for use in the United States in place of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). This new classification system will used throughout the nation's healthcare system for recording diagnoses or the reasons for treatment or care. A pilot study was conducted to determine whether current levels of inpatient clinical documentation provide the detail necessary to fully utilize the ICD-10-CM classification system for heart disease, pneumonia, and diabetes cases. The design of this pilot study was cross-sectional. Four hundred ninety-one de-identified records from two sources were coded using ICD-10-CM guidelines and codebooks. The findings of this study indicate that healthcare organizations need to assess clinical documentation and identify gaps. In addition, coder proficiency should be assessed prior to ICD-10-CM implementation to determine the need for further education and training in the biomedical sciences, along with training in the new classification system.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":" ","pages":"1c"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329200/pdf/phim0009-0001c.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40193910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating regulatory change: preliminary lessons learned during the healthcare provider transition to ICD-10-CM/PCS.","authors":"Veronica E Jackson, Alexander Muckerman","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This article presents the findings of a collaborative effort between the Georgetown University Student Consulting Team and Booz Allen Hamilton to interview healthcare providers undergoing the transition to the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS). The goals of this study were to extract a common set of trends, challenges, and lessons learned surrounding the implementation of the ICD-10-CM/PCS code set and to produce actionable information that might serve as a resource for organizations navigating the transition to ICD-10-CM/PCS. The selected survey sample focused on a subset of large hospitals, integrated health systems, and other national industry leaders who are likely to have initiated the implementation process far in advance of the October 2013 deadline. Guided by a uniform survey tool, the team conducted a series of one-on-one provider interviews with department heads, senior staff members, and project managers leading ICD-10-CM/PCS conversion efforts from six diverse health systems. As expected, the integrated health systems surveyed seem to be on or ahead of schedule for the ICD-10-CM/PCS coding transition. However, results show that as of April 2010 most providers were still in the planning stages of implementation and were working to raise awareness within their organizations. Although individual levels of preparation varied widely among respondents, the study identified several trends, challenges, and lessons learned that will enable healthcare providers to assess their own status with respect to the industry and will provide useful insight into best practices for the ICD-10-CM/PCS transition.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":" ","pages":"1d"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329201/pdf/phim0009-0001d.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40193911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparison between a SNOMED CT problem list and the ICD-10-CM/PCS HIPAA code sets.","authors":"Steven J Steindel","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In 2013 the United States will convert from the use of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the use of the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS). This study compares the approximately 5,000 terms in the July 2009 Clinical Observations Recording and Encoding (CORE) Problem List subset of the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) terminology produced by the National Library of Medicine with terms found in the January 2009 versions of ICD-10-CM/PCS. The comparison was done by a single individual and used the internally defined concepts of \"Exact,\" \"Inexact,\" \"Model\" (one SNOMED CT term to many ICD-10-CM/PCS terms), \"Not Elsewhere Classified,\" \"Not Otherwise Specified,\" \"Synonym,\" and \"Not Found\" to classify the CORE Problem List terms according to the quality of the match. Among the CORE Problem List terms, 6.0 percent were not found in ICD-10-CM/PCS, and 69.1 percent had equivalent ICD-10-CM/PCS terms. The 13.0 percent of terms classified as \"Inexact\" could also be used directly assuming some acceptable loss of clinical precision. The 11.9 percent of terms classified as \"Model\" represent differences that require rule-based mapping. The results of this study suggest that ICD-10-CM/PCS meets the intended design goal of increased clinical precision but studies are needed to precisely define the depth of coverage.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":" ","pages":"1b"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329199/pdf/phim0009-0001b.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40193909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preparing for ICD-10-CM/PCS: one payer's experience with general equivalence mappings (GEMs).","authors":"Sydney V Ross-Davis","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The International Classification of Diseases, Tenth Edition, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS) has been mandated as the new code set to be used for medical coding in the United States beginning on October 1, 2013, replacing the use of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). To assist in the transition from ICD-9-CM to ICD-10-CM/PCS, the National Center for Health Statistics developed bidirectional general equivalent mappings (GEMs) between the old and new code sets. This article looks at how the GEMs have been leveraged by Health Care Service Corporation (HCSC) to achieve the goal of transition to ICD-10-CM/PCS. The analysis examines the questions asked and lessons learned in the practical application of the GEMs for the translation of business rules and processes in order to promote a deeper understanding of the data issues involved in the transition from ICD-9-CM to ICD-10-CM/PCS from a payer's perspective.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":" ","pages":"1e"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329202/pdf/phim0009-0001e.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40193912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Carroll, T. Cullen, Stewart C. Ferguson, Nathan Hogge, M. Horton, J. Kokesh
{"title":"Innovation in Indian healthcare: using health information technology to achieve health equity for American Indian and Alaska Native populations.","authors":"M. Carroll, T. Cullen, Stewart C. Ferguson, Nathan Hogge, M. Horton, J. Kokesh","doi":"10.13016/70DO-8U6F","DOIUrl":"https://doi.org/10.13016/70DO-8U6F","url":null,"abstract":"The US Indian health system utilizes a diverse range of health information technology and innovative tools to enhance health service delivery for American Indians and Alaska Natives. This article provides an overview of efforts and experience using such tools to achieve health equity for American Indian and Alaska Native communities. Specific attention is given to the Indian Health Service Electronic Health Record and to two examples of telehealth innovation.","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":"8 1","pages":"1d"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66541881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}