ISDS' ICD-10 Master Mapping Reference Table Now Available!

ICD-10 Master Mapping Reference Table

ISDS is pleased to release the ICD-10 Master Mapping Reference Table (MMRT) as a tool and resource to assist public health professionals in code-mapping the conversion between ICD-9-CM to ICD-10-CM diagnostic codes. Learn more and download here!

Background The upcoming ICD-9/ICD-10 transition will have a significant impact on public health surveillance systems and activities that involve coded clinical data. It is imperative that public health agencies begin to prepare their systems, modify current business processes, and train their workforce to ensure a seamless transition to ICD-10 coded data. To address this urgent need, CDC worked with clinicians and public health professionals to develop ICD-9 to ICD-10 translations based on conceptual mapping for 140 syndromes arranged into 16 broader syndrome groupings. ISDS coordinated the community input on these codesets and concepts, to ensure that they reflect how public health agencies use diagnostic codes for syndromic surveillance activities. Three reviews for each syndrome chapter were compiled, and a panel of syndromic surveillance experts subsequently assessed that the reviews for inclusion. The resulting reference tables, which include 90 syndromes grouped into 13 chapters, serve as a resource for public health agencies looking to ensure a smooth transition between ICD-9 and ICD-10 code-mapping.

Feedback If you have any questions or comments for fellow users of the ICD-10 MMRT, please visit the ISDS Community Forum ICD-10 MMRT page. If you have any questions for the creators of the ICD-10 MMRT, please e-mail icd10@syndromic.org. If providing feedback on code mappings, please be specific with chapter, syndrome and line number. Thank you!

Acknowledgement The ICD-10 Master Mapping Reference Table is made possible by funding to ISDS through the Council for State and Territorial Epidemiologists (CSTE) from the Center for Surveillance, Epidemiology and Laboratory Services (CSELS) within the Office of Public Health Scientific Services (OPHSS) at the US Centers for Disease Control and Prevention (CDC).

Optimizing Infectious Disease Surveillance

On Wednesday, August 19, 2015 at 2:00pm – 3:00pm Eastern Time, CSTE will be hosting a webinar entitled “Optimizing Infectious Disease Surveillance.”

The explosion of public health data provides an opportunity for resource-constrained public health agencies to engage in cost-efficient and truly innovative disease surveillance.  However, to design robust surveillance with limited resources we propose a four-step process that systematically evaluates and integrates candidate data streams:  (1) define surveillance objectives, (2) specify candidate data sources, (3) simulate historical data where data are missing, and (4) select the most informative combination of data sources.  This methodology determines system right-size by quantifying the performance of data sources in terms of the specified surveillance objectives and prioritizes them for incorporation into surveillance systems.  In this webinar, I will demonstrate the flexibility and utility of this approach on a provider-based influenza surveillance network in Texas with both traditional and digital data streams across two surveillance objectives: situational awareness and early detection.

After the webinar, participants will be able to:

1.       Demonstrate how an integrative surveillance system can be used to improve situational awareness and early detection.

2.       Assess the performance of various data sources, e.g. primary healthcare providers, laboratory data, emergency department chief complaints, and Google Flu Trends, for surveillance.  

3.       Evaluate the utility of primary healthcare providers and emergency department chief complaints for predicting influenza-associated hospitalizations in at risk populations.  

The presenter is Samuel V. Scarpino, a postdoctoral fellow at the Santa Fe Institute, where he holds the prestigious Omidyar Fellowship. He completed his Ph.D. in Integrative Biology from the University of Texas at Austin, where his dissertation research focused on the design of disease surveillance networks and the integration of diverse data streams to better inform public health decision-making. Dr. Scarpino is an incoming Assistant Professor in Mathematics and Statistics at the University of Vermont.  His research focuses on the evolutionary and population dynamics of infectious diseases. He applies this work to the design of both public health surveillance systems and intervention strategies.

Register for this webinar at: https://csteevents.webex.com/csteevents/onstage/g.php?d=665423224&t=a

The webinar recording and slides will be available on the CSTE website shortly after the session has concluded.

MMWR Vol. 64 / Early Release 07/07/2015   MMWR Early Release  Vol. 64, Early Release  July 7, 2015   PDF   In this report Vital Signs: Demographic and Substance Use Trends Among Heroin Users — United States, 2002–2013  Christopher M. Jones, PharmD, Joseph Logan, PhD, R. Matthew Gladden, PhD, et al. MMWR Morb Mortal Wkly Rep 2015;64(Early Release):1-7  Heroin use and overdose deaths have increased significantly in the United States. Assessing trends in heroin use among demographic and particular substance-using groups can inform prevention efforts. FDA and CDC analyzed data from the National Survey on Drug Use and Health and National Vital Statistics System reported during 2002–2013. This report summarizes their findings. See also: ISDS webinar: Approaches to Syndromic Case Definitions for Drug Overdose Surveillance