ICD-10-CM: Your diagnostic codes are changing

2014 ◽  
Author(s):  
Rebecca A. Clay
Keyword(s):  
Diagnostic Codes ◽  
Icd 10

scholarly journals Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Acute Bronchitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s32-s32
Author(s):  
Ebbing Lautenbach ◽  
Keith Hamilton ◽  
Robert Grundmeier ◽  
Melinda Neuhauser ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Predictive Value ◽  
Gold Standard ◽  
Chart Review ◽  
Acute Bronchitis ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
The Impact

Background: Antibiotic resistance has increased at alarming rates, driven predominantly by antibiotic overuse. Although most antibiotic use occurs in outpatients, antimicrobial stewardship programs have primarily focused on inpatient settings. A major challenge for outpatient stewardship is the lack of accurate and accessible electronic data to target interventions. We sought to develop and validate an electronic algorithm to identify inappropriate antibiotic use for outpatients with acute bronchitis. Methods: This study was conducted within the University of Pennsylvania Health System (UPHS). We used ICD-10 diagnostic codes to identify encounters for acute bronchitis at any outpatient UPHS practice between March 15, 2017, and March 14, 2018. Exclusion criteria included underlying immunocompromising condition, other comorbidity influencing the need for antibiotics (eg, emphysema), or ICD-10 code at the same visit for a concurrent infection (eg, sinusitis). We randomly selected 300 (150 from academic practices and 150 from nonacademic practices) eligible subjects for detailed chart abstraction that assessed patient demographics and practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for assessment of the electronic algorithm. Because antibiotic use is not indicated for this study population, appropriateness was assessed based upon whether an antibiotic was prescribed or not. Results: Of 300 subjects, median age was 61 years (interquartile range, 50–68), 62% were women, 74% were seen in internal medicine (vs family medicine) practices, and 75% were seen by a physician (vs an advanced practice provider). On chart review, 167 (56%) subjects received an antibiotic. Of these subjects, 1 had documented concern for pertussis and 4 had excluding conditions for which there were no ICD-10 codes. One received an antibiotic prescription for a planned dental procedure. Thus, based on chart review, 161 (54%) subjects received antibiotics inappropriately. Using the electronic algorithm based on diagnostic codes, underlying and concurrent conditions, and prescribing data, the number of subjects with inappropriate prescribing was 170 (56%) because 3 subjects had antibiotic prescribing not noted based on chart review. The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were the following: sensitivity, 100% (161 of 161); specificity, 94% (130 of 139); positive predictive value, 95% (161 of 170); and negative predictive value, 100% (130 of 130). Conclusions: For outpatients with acute bronchitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future studies.Funding: NoneDisclosures: None

scholarly journals Suicidal and self-harm presentations to Emergency Departments: The challenges of identification through diagnostic codes and presenting complaints

2019 ◽  
Vol 49 (1) ◽  
pp. 38-46 ◽  
Author(s):  
Jerneja Sveticic ◽  
Nicholas CJ Stapelberg ◽  
Kathryn Turner
Keyword(s):  
Suicidal Ideation ◽  
Gold Standard ◽  
Emergency Departments ◽  
Policy Development ◽  
Suicide Attempts ◽  
Predictive Values ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
Self Harm ◽  
Low Sensitivity

Background: The accuracy of data on suicide-related presentations to Emergency Departments (EDs) has implications for the provision of care and policy development, yet research on its validity is scarce. Objective: To test the reliability of allocation of ICD-10 codes assigned to suicide and self-related presentations to EDs in Queensland, Australia. Method: All presentations due to suicide attempts, non-suicidal self-injury (NSSI) and suicidal ideation between 1 July 2017 and 31 December 2017 were reviewed. The number of presentations identified through relevant ICD-10-AM codes and presenting complaints in the Emergency Department Information System were compared to those identified through an application of an evolutionary algorithm and medical record review (gold standard). Results: A total of 2540 relevant presentations were identified through the gold standard methodology. Great heterogeneity of ICD-10-AM codes and presenting complaints was observed for suicide attempts (40 diagnostic codes and 27 presenting complaints), NSSI (27 and 16, respectively) and suicidal ideation (38 and 34, respectively). Relevant ICD codes applied as primary or secondary diagnosis had very low sensitivity in detecting cases of suicide attempts (18.7%), NSSI (38.5%) and suicidal ideation (42.3%). A combination of ICD-10-AM code and a relevant presenting complaint increased specificity, however substantially reduced specificity and positive predictive values for all types of presentations. ED data showed bias in detecting higher percentages of suicide attempts by Indigenous persons (10.1% vs. 6.9%) or by cutting (28.1% vs. 10.3%), and NSSI by female presenters (76.4% vs. 67.4%). Conclusion: Suicidal and self-harm presentations are grossly under-enumerated in ED datasets and should be used with caution until a more standardised approach to their formulation and recording is implemented.

scholarly journals Syndromic Surveillance of Emergency Department Visits for Acute Adverse Effects of Marijuana, Tri-County Health Department, Colorado, 2016-2017

2019 ◽  
Vol 134 (2) ◽  
pp. 132-140 ◽  
Author(s):  
Grace E. Marx ◽  
Yushiuan Chen ◽  
Michele Askenazi ◽  
Bernadette A. Albanese
Keyword(s):  
Emergency Department ◽  
Adverse Effects ◽  
Medical Records ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Marijuana Use ◽  
Emergency Department Visits ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
Ed Visits

Objectives: In Colorado, legalization of recreational marijuana in 2014 increased public access to marijuana and might also have led to an increase in emergency department (ED) visits. We examined the validity of using syndromic surveillance data to detect marijuana-associated ED visits by comparing the performance of surveillance queries with physician-reviewed medical records. Methods: We developed queries of combinations of marijuana-specific International Classification of Diseases, Tenth Revision (ICD-10) diagnostic codes or keywords. We applied these queries to ED visit data submitted through the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) syndromic surveillance system at 3 hospitals during 2016-2017. One physician reviewed the medical records of ED visits identified by ≥1 query and calculated the positive predictive value (PPV) of each query. We defined cases of acute adverse effects of marijuana (AAEM) as determined by the ED provider’s clinical impression during the visit. Results: Of 44 942 total ED visits, ESSENCE queries detected 453 (1%) as potential AAEM cases; a review of 422 (93%) medical records identified 188 (45%) true AAEM cases. Queries using ICD-10 diagnostic codes or keywords in the triage note identified all true AAEM cases; PPV varied by hospital from 36% to 64%. Of the 188 true AAEM cases, 109 (58%) were among men and 178 (95%) reported intentional use of marijuana. Compared with noncases of AAEM, cases were significantly more likely to be among non-Colorado residents than among Colorado residents and were significantly more likely to report edible marijuana use rather than smoked marijuana use ( P < .001). Conclusions: ICD-10 diagnostic codes and triage note keyword queries in ESSENCE, validated by medical record review, can be used to track ED visits for AAEM.

scholarly journals Accuracy of Administrative Data for the Coding of Acute Stroke and TIAs

2016 ◽  
Vol 43 (6) ◽  
pp. 765-773 ◽  
Author(s):  
Ruth Hall ◽  
Luke Mondor ◽  
Joan Porter ◽  
Jiming Fang ◽  
Moira K. Kapral
Keyword(s):  
Ischemic Stroke ◽  
Acute Stroke ◽  
Administrative Data ◽  
Data Validation ◽  
Reference Standard ◽  
Stroke Registry ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
Stroke Type ◽  
Ischemic Attack

AbstractObjective: Administrative data validation is essential for identifying biases and misclassification in research. The objective of this study was to determine the accuracy of diagnostic codes for acute stroke and transient ischemic attack (TIA) using the Ontario Stroke Registry (OSR) as the reference standard. Methods: We identified stroke and TIA events in inpatient and emergency department (ED) administrative data from eight regional stroke centres in Ontario, Canada, from April of 2006 through March of 2008 using ICD–10–CA codes for subarachnoid haemorrhage (I60, excluding I60.8), intracerebral haemorrhage (I61), ischemic (H34.1 and I63, excluding I63.6), unable to determine stroke (I64), and TIA (H34.0 and G45, excluding G45.4). We linked administrative data to the Ontario Stroke Registry and calculated sensitivity and positive predictive value (PPV). Results:: We identified 5,270 inpatient and 4,411 ED events from the administrative data. Inpatient administrative data had an overall sensitivity of 82.2% (95% confidence interval [CI95%]=81.0, 83.3) and a PPV of 68.8% (CI95%=67.5, 70.0) for the diagnosis of stroke, with notable differences observed by stroke type. Sensitivity for ischemic stroke increased from 66.5 to 79.6% with inclusion of I64. The sensitivity and PPV of ED administrative data for diagnosis of stroke were 56.8% (CI95%=54.8, 58.7) and 59.1% (CI95%=57.1, 61.1), respectively. For all stroke types, accuracy was greater in the inpatient data than in the ED data. Conclusion: The accuracy of stroke identification based on administrative data from stroke centres may be improved by including I64 in ischemic stroke type, and by considering only inpatient data.

scholarly journals Changes in Patient Visits and Diagnoses seen in an Academic Ophthalmology Department during the COVID-19 pandemic

2020 ◽  
Author(s):  
Meghan K Berkenstock ◽  
Paulina Liberman ◽  
Peter J McDonnell ◽  
Benjamin C Chaon
Keyword(s):  
Practice Patterns ◽  
Low Vision ◽  
The United States ◽  
Viral Transmission ◽  
Pediatric Ophthalmology ◽  
Face To Face ◽  
Diagnostic Codes ◽  
Before And After ◽  
Icd 10 ◽  
The Impact

Abstract BACKGROUND: To minimize the risk of viral transmission, ophthalmology practices limited face to face encounters to only patients with urgent and emergent ophthalmic conditions, in the weeks after the start of the COVID-19 epidemic in the United States. The impact of this is unknown. METHODS: We did a retrospective analysis of the change in the frequency of ICD-10 code use and patient volumes in the six weeks before and after the changes in clinical practice associated with COVID-19.RESULTS: The total number of encounters decreased four-fold after the implementation of clinic changes associated with COVID-19. The low vision, pediatric ophthalmology, general ophthalmology, and cornea divisions had the largest total decrease of in-person visits. Conversely, the number of telemedicine visits increased sixty-fold. The number of diagnostic codes associated with ocular malignancies, most ocular inflammatory disorders, and retinal conditions requiring intravitreal injections increased. ICD-10 codes associated with ocular screening exams for systemic disorders decreased during the weeks post COVID-19. CONCLUSION: Ophthalmology practices need to be prepared to experience changes in practice patterns, implementation of telemedicine, and decreased patient volumes during a pandemic. Knowing the changes specific to each subspecialty clinic is vital to redistribute available resources correctly.

scholarly journals ICD-10-AM to CCS diagnostic codes: an exercise in clinical process mapping

2017 ◽  
Vol 17 (5) ◽  
pp. 408
Author(s):  
Declan McKeown ◽  
Gerardine Sayers ◽  
Gerry Kelliher ◽  
Howard Johnson
Keyword(s):  
Process Mapping ◽  
Clinical Process ◽  
Diagnostic Codes ◽  
Icd 10

scholarly journals Accuracy of ICD-10 Diagnostic Codes to Identify COVID-19 Among Hospitalized Patients

2021 ◽  
Author(s):  
Ankeet S. Bhatt ◽  
Erin E. McElrath ◽  
Brian L. Claggett ◽  
Deepak L. Bhatt ◽  
Dale S. Adler ◽  
...  
Keyword(s):  
Hospitalized Patients ◽  
Diagnostic Codes ◽  
Icd 10

scholarly journals Changes in Patient Visits and Diagnoses seen in an Academic Ophthalmology Department during the COVID-19 pandemic

2020 ◽  
Author(s):  
Meghan K Berkenstock ◽  
Paulina Liberman ◽  
Peter J McDonnell ◽  
Benjamin C Chaon
Keyword(s):  
Practice Patterns ◽  
Low Vision ◽  
The United States ◽  
Viral Transmission ◽  
Pediatric Ophthalmology ◽  
Face To Face ◽  
Diagnostic Codes ◽  
Before And After ◽  
Icd 10 ◽  
The Impact

Abstract BACKGROUND: To minimize the risk of viral transmission, ophthalmology practices limited face to face encounters to only patients with urgent and emergent ophthalmic conditions, in the weeks after the start of the COVID-19 epidemic in the United States. The impact of this is unknown. METHODS: We did a retrospective analysis of the change in the frequency of ICD-10 code use and patient volumes in the six weeks before and after the changes in clinical practice associated with COVID-19.RESULTS: The total number of encounters decreased four-fold after the implementation of clinic changes associated with COVID-19. The low vision, pediatric ophthalmology, general ophthalmology, and cornea divisions had the largest decrease of in-person visits. Conversely, telemedicine visits increased sixty-fold. The number of diagnostic codes associated with ocular malignancies, most ocular inflammatory disorders, and retinal conditions requiring intravitreal injections increased. ICD-10 codes associated with ocular screening exams for systemic disorders decreased during the weeks post COVID-19. CONCLUSION: Ophthalmology practices need to be prepared to experience changes in practice patterns, implementation of telemedicine, and decreased patient volumes during a pandemic. Knowing the changes specific to each subspecialty clinic is vital to redistribute available resources correctly.

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