• Spring 2019 Introduction

    The Spring 2019 issue of Perspectives in Health Information Management features a study evaluating the use of ICD codes for health services research involving patients with a diagnosis of soft-tissue sarcoma. Authors of the study, “Challenge of Using ICD-9-CM and ICD-10-CM Codes in Soft Tissue Sarcoma Databases for Health Services Research,” found that a lack of consistency in ICD coding for the diagnosis and treatment of soft-tissue sarcoma was a limiting factor in the ability to conduct real-world observational research.  


Spring 2019 Issue

  • Challenges of Using ICD-9-CM and ICD-10-CM Codes for Soft-Tissue Sarcoma in Databases for Health Services Research

    Soft-tissue sarcoma (STS) is a heterogeneous group of rare solid tumors that arise from various soft tissues in the body, such as muscle, fat, nerves, and blood vessels. Current International Classification of Diseases (ICD) coding systems include a set of nonspecific codes for malignancies of connective and soft tissue (ICD-9-CM code 171 and ICD-10-CM code C49). The goal of this study was to evaluate the use of these codes for health services research involving patients with a diagnosis of this rare malignancy.  

  • Analyzing the ICD-10-CM Transition and Post-implementation Stages: A Public Health Institution Case Study

    On October 1, 2015, the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) was incorporated into the US public health system. Because of significant opposition and reservations expressed by stakeholders, while the proposed rule for ICD-10-CM adoption was issued in 2009, the transition did not occur until October 2015. The purpose of this study was to identify conversion initiatives used by a public health institution during the initial and subsequent stages of ICD-10-CM implementation, to help similar institutions address future unfunded healthcare data infrastructure mandates.  

  • Genetic Variations and Precision Medicine

    The time and costs associated with the sequencing of a human genome have decreased significantly in recent years. Many people have chosen to have their genomes sequenced to receive genomics-based personalized healthcare services. To reach the goal of genomics-based precision medicine, health information management (HIM) professionals need to manage and analyze patients’ genomic data.