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Using facilitators in mock codes: recasting the parts for success.

BACKGROUND: Members of the CHRISTUS Santa Rosa Children's Hospital staff development committee identified a need for a mock code program which would address a range of learning needs for nurses and other caregivers with varying levels of knowledge, skills, and experience. METHOD: We implemented a mock code program using experienced caregivers, usually emergency room and pediatric intensive care RNs and respiratory therapists to serve as facilitators to code participants during the mock code drills. Facilitators have dual roles of teaching and guiding the code participant as well as evaluating performance. RESULTS: Code participants and facilitators benefit from the design of this program. Debriefing session input and written program evaluations show that code participants value the opportunity to practice their skills in a nonthreatening situation in which they receive immediate feedback as needed. Facilitators learn to teach and coach and strengthen their own code knowledge and skills at the same time. CONCLUSION: This mock code program serves as a unique way to include novice and experienced nurses in mock codes together. The knowledge, skills, and confidence of the code participants and the facilitators have matured. The design of the program allows for immediate teaching/learning where needed, as well as appropriate evaluation. This program develops stronger, calmer, more efficient, and more confident nurses during codes. Practice and equipment changes can be based on findings from the mock codes. The program is invaluable to patients, staff, and hospital.

Cardiopulmonary Resuscitation↗

Coding for effective denial management.

Nearly everyone will agree that accurate and consistent coding of diagnoses and procedures is the cornerstone for operating a compliant practice. The CPT or HCPCS procedure code tells the payor what service was performed and also (in most cases) determines the amount of payment. The ICD-9-CM diagnosis code, on the other hand, tells the payor why the service was performed. If the diagnosis code does not meet the payor's criteria for medical necessity, all payment for the service will be denied. Implementation of an effective denial management program can help "stop the bleeding." Denial management is a comprehensive process that works in two ways. First, it evaluates the cause of denials and takes steps to prevent them. Second, denial management creates specific procedures for refiling or appealing claims that are initially denied. Accurate, consistent and compliant coding is key to both of these functions. The process of proactively managing claim denials also reveals a practice's administrative strengths and weaknesses, enabling radiology business managers to streamline processes, eliminate duplicated efforts and shift a larger proportion of the staff's focus from paperwork to servicing patients--all of which are sure to enhance operations and improve practice management and office morale. Accurate coding requires a program of ongoing training and education in both CPT and ICD-9-CM coding. Radiology business managers must make education a top priority for their coding staff. Front office staff, technologists and radiologists should also be familiar with the types of information needed for accurate coding. A good staff training program will also cover the proper use of Advance Beneficiary Notices (ABNs). Registration and coding staff should understand how to determine whether the patient's clinical history meets criteria for Medicare coverage, and how to administer an ABN if the exam is likely to be denied. Staff should also understand the restrictions on use of ABNs and the compliance risks associated with improper use. Finally, training programs should include routine audits to monitor coders for competence and precision. Constantly changing codes and guidelines mean that a coder's skills can quickly become obsolete if not reinforced by ongoing training and monitoring. Comprehensive reporting and routine analysis of claim denials is without a doubt one of the greatest assets to a practice that is suffering from excessive claim denials and should be considered an investment capable of providing both short and long term ROIs. Some radiologists may lack the funding or human resources needed to implement truly effective coding programs for their staff members. In these circumstances, radiology business managers should consider outsourcing their coding.

Current Procedural Terminology↗

New coding and billing opportunities for 2005--Part I.

Part I of this series will highlight several changes in coding and billing for 2005. Medicare has established new preventive medicine services and screening tests for beneficiaries, but they have certain qualifications and documentation rules that must be followed. New codes have been established for using the Internet or similar electronic communications in response to a patient's request. There are additional revisions for pediatricians, orthopedists, endoscopists and surgeons performing transplants and bariatric surgery. All new CPT codes must be activated and deleted codes must be discontinued effective January 1, 2005. From that date forward, the patient's date of service must reflect current diagnosis (ICD-9) and procedure/services (CPT and HCPCS) codes. The Health Insurance Portability and Accountability Act (HIPAA) mandated a January 1, 2005, date compliance for all new and deleted diagnosis (ICD-9-CM) and physician service codes (CPT and HCPCS). Physicians no longer are allowed the 90-day grace period to update their coding systems to reflect the changes. The new 2005 CPT book contains many revisions within the codes themselves along with revisions found in the specific "guidelines" at the beginning of many sections. The CPT codes for 2005 contain 26 deleted codes and 130 new codes, thus providing a challenge to update all coding systems by the January 1, 2005, compliance date for CPT codes.

Current Procedural Terminology↗

Correct coding in interventional pain management.

The National Correct Coding Council (NCCC) was created by the Health Care Financing Administration (HCFA) in 1996 to help ensure that providers across various jurisdictions receive like payment for the same services, use the same codes and provide similar documentation for services performed. The Correct Coding Initiative (CCI) was a direct outgrowth of the NCCC's, the purpose of which was to identify and isolate inappropriate coding, unbundling, and other irregularities in coding. To avoid inappropriate or incorrect coding and billing in interventional pain management, it is imperative that interventional pain physicians and their staff be familiar with correct coding policies, as well as understand the meaning of Current Procedural Terminology, along with comprehensive codes, component codes, and mutually exclusive codes. This review describes CCI and various correct coding policies specifically relevant to interventional pain medicine. In addition, certain commonly used codes of interventional techniques are also described with implications of comprehensive, component, and mutually exclusive coding terminology.

Journal Article↗

Accuracy of injury coding in Victorian hospital morbidity data.

In Victoria injury surveillance data are drawn from hospital morbidity data. The accuracy and reliability of these data are often questioned. We aimed to ascertain the reliability of injury data in the Victorian inpatient minimum database. A random sample of 546 public hospital separations with principal diagnosis ICD-9-CM codes 800-999 was selected from four metropolitan hospitals. Medical records were reviewed, and the hospital coding was compared with the record content. The frequency of error in any coding field was 73 per cent (349/480); of diagnosis error, 61 per cent (292/480); of procedure error, 45 per cent (168/370); of error in the principal diagnosis, 19 per cent (93/480); and of error in external-cause codes (E-codes), 16 per cent (75/480). Ninety-four per cent of errors (87/93) in the principal diagnosis involved recoding within the same group of codes. Only 6 per cent (6/93) were recoded to principal diagnoses other than injury. Sixty-two per cent (181/292) were errors of omission of codes for comorbid conditions. Nearly half the errors in the principal diagnosis were minor, involving the last two digits. E-codes were more complete than diagnosis codes. The best predictors of error in the principal diagnosis were greater length of stay, type of injury code (poisonings and toxic effects were associated with lower error rates) and death as the outcome. While selection of data from secondary diagnosis fields may not provide complete data, the use of the principal-diagnosis code and E-codes for injury surveillance is feasible and reliable. The database is a valuable source of injury surveillance data, bearing in mind the limitations of coded hospital morbidity data.

Adolescent↗

The level and landscape of optimization in the origin of the genetic code.

We consider a model of the origin of genetic code organization incorporating the biosynthetic relationships between amino acids and their physicochemical properties. We study the behavior of the genetic code in the set of codes subject both to biosynthetic constraints and to the constraint that the biosynthetic classes of amino acids must occupy only their own codon domain, as observed in the genetic code. Therefore, this set contains the smallest number of elements ever analyzed in similar studies. Under these conditions and if, as predicted by physicochemical postulates, the amino acid properties played a fundamental role in genetic code organization, it can be expected that the code must display an extremely high level of optimization. This prediction is not supported by our analysis, which indicates, for instance, a minimization percentage of only 80%. These observations can therefore be more easily explained by the coevolution theory of genetic code origin, which postulates a role that is important but not fundamental for the amino acid properties in the structuring of the code. We have also investigated the shape of the optimization landscape that might have arisen during genetic code origin. Here, too, the results seem to favor the coevolution theory because, for instance, the fact that only a few amino acid exchanges would have been sufficient to transform the genetic code (which is not a local minimum) into a much better optimized code, and that such exchanges did not actually take place, seems to suggest that, for instance, the reduction of translation errors was not the main adaptive theme structuring the genetic code.

Algorithms↗

Noise immunity of the genetic code.

Error detection and correction properties are fundamental for informative codes. Hamming's distance allows us to study this noise resistance. We present codes characterized by the resistance optimization to nonsense mutational effects. The calculation of the cumulated Hamming's distance allowing to determine the number of optimal codes and their structure can be detailed. The principle of these laws of optimization of resistance consists of choosing constituent codons connected by mutational neighbouring in such a way that random application of mutations on such a code minimize the occurrence of nonsense n-uplets or terminators. New coding symmetries are then described and screened using Galois's polynomials properties and Baudot's code. Such a study can be applied to any length of the codons. Here we present the principles of this optimization for the most simple doublet codes. Another constraint is discussed: the distribution of optimal subcodes for synonymity and the frequencies of utilization of the different codons. We compare these results to those of the present genetic code, and we observe that all coded amino acids (except the particular case of SER) are using optimal sub-codes of synonymity. This work suggests that the appearance of the genetic code was provoked by mutations while optimizing on several levels its resistance to their effects. Thus genetic coding would have been the best automata that could be produced in prebiotic conditions.

Base Sequence↗

A hardware interpretation of the evolution of the genetic code.

A quantitative rationale for the evolution of the genetic code is developed considering the principle of minimal hardware. This principle defines an optimal code as one that minimizes for a given amount of information encoded, the product of the number of physical devices used by the average complexity of each device. By identifying the number of different amino acids, number of nucleotide positions per codon and number of base types that can occupy each such position with, respectively, the amount of information, number of devices and the complexity, we show that optimal codes occur for 3, 7 and 20 amino acids with codons having a single, two and three base positions per codon, respectively. The advantage of a code of exactly 4 symbols is deduced, as well as a plausible evolutionary pathway from a code of doublets to triplets. The present day code of 20 amino acids encoded by 64 codons is shown to be the most optimal in an absolute sense. Using a tetraplet code further evolution to a code in which there would be 55 amino acids is in principle possible, but such a code would deviate slightly more than the present day code from the minimal hardware configuration. The change from a triplet code to a tetraplet code would occur at about 32 amino acids. Our conclusions are independent of, but consistent with, the observed physico-chemical properties of the amino acids and codon structures. These correlations could have evolved within the constrains imposed by the minimal hardware principle.

Amino Acids↗

[Physico-chemical basis of the genetic code origin: stereochemical analysis of interactions of amino acids and nucleotides based on the progene hypothesis].

A progene hypothesis has been proposed earlier to explain the mechanism of origin of the self-reproducing genetic system. Progenes (precursors of the genetic system) are mixed anhydrides of an amino acid and deoxyribotrinucleotide at the 3'-gamma-terminal phosphate (NpNpNppp-AA); they are produced from dinucleotides (NpNp) and 3'-gamma-aminoacylnucleotidylates (Nppp-AA) as a result of specific interaction between amino acid and dinucleotide. The postulated mechanism of progene formation accounts for the selection of substances, including chirality, the origin of the genetic code as well as for the mechanisms of formation, self-reproduction and evolution of the simpliest genetic system ("gene--polypeptide"). A stereochemical analysis of the progene formation mechanism has allowed us to support the main statements of the hypothesis that relate to the origin of the genetic code and to selection of substances. Atomic groups that could be responsible for the specificity of interaction between dinucleotides and amino acids in progene formation have been revealed. Stereochemical evidence for the physicochemical basis of the origin of the existing genetic code have been produced: 1) a special role of the second nucleotide in the codon is demonstrated in amino acid coding by the progene hypothesis principle; 2) an advantage of T against U in such coding is demonstrated; 3) for 16 amino acids out of 20 an agreement has been obtained between the optimal dinucleotide as revealed by the stereochemical analysis and the codon dinucleotides; 4) an explanation for the third nucleotide selection mechanism is offered. A restoration of the prebiotic code, based on these results, has indicated that the code contains 32 codons, is statistical and group-wise. It encodes 7 groups of isofunctional amino acids: 3 overlapping groups of non-polar amino acids 1) medium-size hydrophobic amino acids (chiefly Val, n-Val and a-But), 2) small and medium-size non-polar amino acids (chiefly Ala Val, n-Val a-But and Gly), 3) small non-polar amino acids (Gly, Ala, a-But) and 4 groups of polar amino acids--1) hydroxy--+dicarbonic (Asp, Glu, Ser and Thr), 2) dicarbonic (Asp and Glu), 3) hydroxy (Ser and Thr) and 4) basic (Arg and Lys). The code includes about 20 amino acids among which are 15-17 canonical and a few common non-canonical. The prebiotic code explains many properties of the existing genetic code and is capable of evolving into the latter by way of a gradual replacement of the physicochemical coding mechanism by the enzymatic coding mechanism.

Amino Acids↗

The proteomic origin of the genetic code.

INTRODUCTION: The origin and evolution of the genetic code is a central problem in molecular biology. Classical models have emphasized stereochemistry, frozen accidents, or adaptive optimization, often treating proteins as passive products of preexisting codes. More recent views instead portray the code as a dynamic, coevolving system shaped by reciprocal interactions among amino acids, RNA, and early catalysts. AREAS COVERED: Here, I review efforts of phylogeny reconstruction of the history of tRNA, protein structural domains, and dipeptide sequences in proteomes. These complementary approaches allow exploration of the entry of amino acids and codons into the code, and the transition from an operational RNA code in the tRNA acceptor arm to the canonical code in the anticodon loop. Evidence for ancestral synthetase enzymes with dual functions in aminoacylation and peptide-bond formation, as well as early bidirectional (sense-antisense) coding reflected in dipeptide-antidipeptide emergence is also discussed. EXPERT OPINION: The genetic code is best viewed as a proteome-driven, evolvable system in which early peptides actively shaped coding rules by stabilizing structure, expanding chemical diversity, and enhancing catalysis. This perspective connects origin-of-life studies with modern efforts of code expansion, translational engineering, and peptide-based therapeutics, highlighting the impact of the code's proteomic origin.

Genetic Code↗

Specific interactions between sense and complementary peptides: the basis for the proteomic code.

The discovery of the genetic code was one of the milestone events in biology: a conserved, universal code defining the primary amino acid sequences of all proteins of all organisms. However, this code has been thought to be limited, unable to provide additional information appropriate to defining the three-dimensional structure and function of these proteins. This raises important questions. Can there be more to the genetic code? Is there a code embedded within the code? Does a two-dimensional genetic code exist? In our view, the answer to all three of these questions is a qualified "yes". This review describes how sense and complementary peptides coded for by mutually complementary nucleic acid sequences are capable of interacting specifically, thereby suggesting the existence of a second, two-dimensional genetic code (proteomic code). Theories attempting to explain such specific interactions between sense and complementary peptides are discussed including the Mekler-Idlis (M-I) pair theory that suggests that each codon-directed amino acid residue in a sense peptide may make a specific pair-wise interaction with the corresponding complementary codon-directed residue in the complementary peptide. In effect, through-space interactions between pairs of amino acid residues are suggested as being specified by the genetic code and its complement. The biological implications of sense/complementary peptide interactions are potentially vast but still to be fully understood and appreciated. That such peptide/peptide interactions could provide the basis for understanding and constructing the proteomic code remains to be properly established but research to date suggests that we should be able to make a start in that direction.

Amino Acids↗

Do studies of wire code and childhood leukemia point towards or away from magnetic fields as the causal agent?

A long-standing point of controversy in the epidemiologic literature concerns the meaning of a wire code-childhood leukemia association for assessing the role of magnetic field exposure. Six studies of wire codes and childhood leukemia in North America were examined, three of which reported positive associations and all of which found some relation between wire codes and measured magnetic fields. Supporting magnetic fields as the basis for the wire code associations are the correspondence between those wire code levels which predict distinct magnetic fields and those which predict leukemia risk in the positive studies. Geographic locations and methods that refine wire codes as magnetic fields predictors also tend to strengthen the association with leukemia. Opposing arguments are based on the failure of the wire code-magnetic field association to predict the strength of association across studies, including the unexplained lack of association between wire codes and leukemia in the Midwest and in Canada. Alternatives to magnetic fields are less supported; residential mobility, social class, and neighborhood characteristics are unlikely to explain a wire code effect. Ambiguity persists because of the modest strength of the wire code-leukemia association, the complexity of the relation between wire codes and magnetic fields, lack of knowledge of risk factors for childhood leukemia, and the limited evaluation of wire code correlates other than magnetic fields.

Canada↗

Qualitative assessment of cause-of-injury coding in U.S. military hospitals: NATO standardization agreement (STANAG) 2050.

BACKGROUND: Accurate injury cause data are essential for injury prevention research. U.S. military hospitals, unlike civilian hospitals, use the NATO STANAG system for cause-of-injury coding. Reported deficiencies in civilian injury cause data suggested a need to specifically evaluate the STANAG. METHODS: The Total Army Injury and Health Outcomes Database (TAIHOD) was used to evaluate worldwide Army injury hospitalizations, especially STANAG Trauma, Injury, and Place of Occurrence coding. We conducted a review of hospital procedures at Tripler Army Medical Center (TAMC) including injury cause and intent coding, potential crossover between acute injuries and musculoskeletal conditions, and data for certain hospital patients who are not true admissions. We also evaluated the use of free-text injury comment fields in three hospitals. RESULTS: Army-wide review of injury records coding revealed full compliance with cause coding, although nonspecific codes appeared to be overused. A small but intensive single hospital records review revealed relatively poor intent coding but good activity and cause coding. Data on specific injury history were present on most acute injury records and 75% of musculoskeletal conditions. Place of Occurrence coding, although inherently nonspecific, was over 80% accurate. Review of text fields produced additional details of the injuries in over 80% of cases. CONCLUSIONS: STANAG intent coding specificity was poor, while coding of cause of injury was at least comparable to civilian systems. The strengths of military hospital data systems are an exceptionally high compliance with injury cause coding, the availability of free text, and capture of all population hospital records without regard to work-relatedness. Simple changes in procedures could greatly improve data quality.

Causality↗

[Model project on coding accuracy].

First experiences with the external evaluation of coding accuracy in view of the German DRG-System are reported. 387 randomised inpatient cases of three departments of a municipal hospital were evaluated. 1.648 diagnosis codes and 946 procedure codes were evaluated with complete clinical data. Before and after correction by the reviewers the cases were grouped (AR-DRG 4.1) and the casemix index of the sample was calculated. 45.9% to 56.7% of primary diagnosis in the department samples were rated as correct. 25.2% to 37.5% of secondary diagnosis were rated as correct, 8.3% to 14.2% were corrected and 49.2% to 60.5% were rated as not relevant with regard to the German coding standards. 7.2% to 22.7% of secondary diagnosis had to be completed in the data. Evaluation of procedure codes resulted in 54.2% to 65.7% accepted codes, 5.9% to 12.1% corrected codes and 23.1% to 39.9% not accepted with regard to the German coding standards. 30.8% to 37.0% of procedure codes had to be completed in the data. After review, remarkable shift in DRGs was seen and casemix index increased 6.9% in average (0.25-12.1%). General and department-specific implications for improvement of coding accuracy could be evaluated. Consequences of potential coding errors in a prospective payment system on DRG basis were seen under conditions of daily hospital practice. External evaluation of coding accuracy used in this study could be the methodological basis for further investigations on this topic.

Diagnosis-Related Groups↗

Reliability of assigning correct current procedural terminology-4 E/M codes.

STUDY OBJECTIVES: We determine the degree of interagency and intra-agency agreement on Current Procedural Terminology-4 (CPT-4) coding levels for emergency department medical records. We hypothesized that the level of agreement among coding agencies would be poor, but the distribution of codes would be similar and not significantly different. METHODS: We performed a prospective observational study consisting of 3 separate randomized, blinded trials: 2 interagency comparisons and 1 intra-agency comparison. The setting was 2 suburban academic EDs. In the 2 interagency audits, 4 coding agencies were used. In the intra-agency comparison, we used 5 individual coders from within our own internal agency. The main outcome measures were the level of agreement not due to chance estimated with the multiple-rater weighted kappa statistic and the Kendall tau-b. We measured the distribution of codes by agency or by individual coders with the chi(2) test. RESULTS: Our sample for the 2 interagency audits consisted of 194 and 195 records, respectively. We observed poor agreement in the level of coding assigned to individual charts among the 4 coding agencies, with kappa values of 0.28 (95% confidence interval [CI] 0.275 to 0.285) and 0.287 (95% CI 0.283 to 0.291). Our intra-agency comparison consisted of 100 records. The agreement in the intra-agency review was significantly better but still fair (kappa=0.436; 95% CI 0.428 to 0.444). The distribution of CPT-4 codes was significantly different for all 3 comparisons (P <.001). CONCLUSION: For our patient population, group of physicians, and methods of documentation, we identified poor-to-fair agreement in coding of emergency charts between coding agencies. Only fair agreement was measured in the intra-agency sample. The distribution of assigned CPT-4 codes was significantly different in each comparison. These findings have important financial and legal implications regarding the reliability of coding methods.

Centers for Medicare and Medicaid Services, U.S.↗

Standardised coding of diet records: experiences from INTERMAP UK.

Coding diet records is a basic element of most dietary surveys, yet it often receives little attention even though errors in coding can lead to flawed study results. In the INTERnational study of MAcro- and micronutrients and blood Pressure (INTERMAP study), efforts were made to minimise errors in coding the 18, 720 diet records. Staff were centrally trained and certified before being able to process study data and ongoing quality control checks were performed. This involved the senior (site) nutritionist re-coding randomly selected diet records. To facilitate standardisation of coding in the UK, a code book was designed; it included information about coding brand items, density and portion size information, and default codes to be assigned when limited information was available for food items. It was found that trainees, despite previous experience in coding elsewhere, made coding errors that resulted in errors in estimates of daily energy and nutrient intakes. As training proceeded, the number of errors decreased. Compilation of the code book was labour-intensive, as information from food manufacturers and retailers had to be collected. Strategies are required to avoid repetition of this effort by other research groups. While the methods used in INTERMAP to reduce coding errors were time consuming, the experiences suggest that such errors are important and that they can be reduced.

Diet↗

Flexibility of the genetic code with respect to DNA structure.

MOTIVATION: The primary function of DNA is to carry genetic information through the genetic code. DNA, however, contains a variety of other signals related, for instance, to reading frame, codon bias, pairwise codon bias, splice sites and transcription regulation, nucleosome positioning and DNA structure. Here we study the relationship between the genetic code and DNA structure and address two questions. First, to which degree does the degeneracy of the genetic code and the acceptable amino acid substitution patterns allow for the superimposition of DNA structural signals to protein coding sequences? Second, is the origin or evolution of the genetic code likely to have been constrained by DNA structure? RESULTS: We develop an index for code flexibility with respect to DNA structure. Using five different di- or tri-nucleotide models of sequence-dependent DNA structure, we show that the standard genetic code provides a fair level of flexibility at the level of broad amino acid categories. Thus the code generally allows for the superimposition of any structural signal on any protein-coding sequence, through amino acid substitution. The flexibility observed at the level of single amino acids allows only for the superimposition of punctual and loosely positioned signals to conserved amino acid sequences. The degree of flexibility of the genetic code is low or average with respect to several classes of alternative codes. This result is consistent with the view that DNA structure is not likely to have played a significant role in the origin and evolution of the genetic code.

Amino Acids↗

Use of emergency department chief complaint and diagnostic codes for identifying respiratory illness in a pediatric population.

OBJECTIVES: (1) To determine the value of emergency department chief complaint (CC) and International Classification of Disease diagnostic codes for identifying respiratory illness in a pediatric population and (2) to modify standard respiratory CC and diagnostic code sets to better identify respiratory illness in children. METHODS: We determined the sensitivity and specificity of CC and diagnostic codes by comparing code groups with a criterion standard. CC and diagnostic codes for 500 pediatric emergency department patients were retrospectively classified as respiratory or nonrespiratory. Respiratory diagnostic codes were further classified as upper or lower respiratory. The criterion standard was a blinded, reviewer-assigned illness category based on history, physical examination, test results, and treatment. We also modified our respiratory code sets to better identify respiratory illness in this population. RESULTS: Four hundred ninety-six charts met inclusion criteria. By the criterion standard, 87 (18%) patients had upper and 47 (10%) had lower respiratory illness. The specificity of CC and diagnostic codes groups was >0.97 [95% confidence interval (CI) 0.95-0.98]. The code group sensitivities were as follows: CC was 0.47 (95% CI 0.38-0.55), upper respiratory diagnostic was 0.56 (95% CI 0.45-0.67), lower respiratory diagnostic was 0.87 (95% CI 0.74-0.95), and combined CC and/or diagnostic was 0.72 (95% CI 0.63-0.79). Modifying the respiratory code sets to better identify respiratory illness increased sensitivity but decreased specificity. CONCLUSIONS: Diagnostic and CC codes have substantial value for emergency department syndromic surveillance. Adapting our respiratory code sets to a pediatric population forced a tradeoff between sensitivity and specificity.

Child↗