Informatics and technology for anaesthesia

2017 ◽  
Author(s):  
Anthony P. Madden
Keyword(s):  
Health Information ◽  
Health Informatics ◽  
Causes Of Death ◽  
Late Nineteenth Century ◽  
Snomed Ct ◽  
Main Driver ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Information Management Systems

Health informatics is concerned with the structure, acquisition, and use of health information. Its origins can be traced back to the publication of Bills of Mortality by the parishes of London in the sixteenth century. Interest in health information accelerated during the late nineteenth century with the development of an internationally recognized classification of the causes of death. Further work on the classification of diseases and causes of death has resulted in the ICD-10, while SNOMED CT provides an international thesaurus of medical terms suitable for use in computerized medical record systems. In 1932, Tovell and Dunn described the systematic collection of data about anaesthetics with the aim of identifying areas for improvement. The improvement of healthcare is the main driver for the implementation of electronic patient record systems in hospitals. A natural corollary is the implementation of computerized anaesthetic information management systems. Computerized record systems can automatically store the output of physiological monitors and reduce errors with active and passive decision support. Although the recording and processing of health information in the twenty-first century almost always involves the use of computers, this can give rise to problems with security and inter-operability. Computer technology also has other uses in modern anaesthetic practice. The modelling of physiological processes and the use of simulators in the training of anaesthetists are good examples.

scholarly journals La reconstrucción de las causas de muerte por el método MODICOD en el  análisis demográfico-sanitario. De la CIE-9 a la CIE-10 a un nivel de cuarto dígito

2018 ◽  
pp. 167
Author(s):  
Aina Faus-Bertomeu ◽  
Rosa Gómez-Redondo
Keyword(s):  
Causes Of Death ◽  
International Classification Of Diseases ◽  
Epidemiological Transition ◽  
Health Transition ◽  
Fourth Digit ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
La Red ◽  
First Time

A pesar del conocimiento acumulado sobre mortalidad y longevidad se hace imprescindible conocer con mayor profundidad la cuarta fase de la Transición Epidemiológica en la que se encuentra España, como otros países de su entorno, para anticipar la emergencia de un nuevo escalón en la Transición Sanitaria así como su impacto social en los años venideros. Para ello, se precisa del análisis de datos de mortalidad por  causas de muerte con el objeto de seguir su evolución y cambios. No obstante la codificación de las causas de muerte se interrumpe con las sucesivas revisiones a la Clasificación Internacional de Enfermedades (CIE). Por ello, se utiliza la metodología de la reconstrucción de causas de muerte propuesta por France Meslé y Jacques Vallin (1988, 1996), de aplicación en la comunidad científica de los países que forman parte de la red internacional Mortality, Divergence and Causes of Death (MODICOD) y en la que las autoras participan en representación de España. El presente trabajo describe las fases de dicho protocolo y lo ejemplifica con los datos de causas de muerte españolas para el periodo 1980- 2012, reconstruyendo las series entre la CIE-9 y la CIE-10. Los resultados obtenidos garantizan el seguimiento de 6.902 rúbricas de causas de muerte continuas y homogeneizadas que por primera vez se establece a nivel de desagregación del cuarto dígito de la CIE-10 configurándose como un instrumento metodológico en el análisis demográfico-epidemiológico.Despite the accumulated knowledge about mortality and longevity, it is essential to know in the depth of the fourth phase of the Epidemiological Transition in which Spain, like other neighboring countries, is in to anticipate a new step in the Health Transition as well as its impact in the coming years. In this context, the analysis of the data of the causes of death is necessary in order to follow its evolution and changes. However, the codification of causes of death is interrupted by the successive revisions to the International Classification of Diseases and Related Health Problems (ICD). For this reason, the methodology of the reconstruction of causes of death proposed by France Meslé and Jacques Vallin (1988, 1996) is used and applied in the countries that are part of the international network Mortality, Divergence and Causes of Death (MODICOD) and in which the authors participate in representation of Spain. The present work describes the phases of this protocol and exemplifies it with the date of Spanish causes of death for the period 1980 to 2015, reconstructing series between ICD-9 and ICD-10. The results obtained ensuring the monitoring of 6,902 rubrics of continuous and homogenized causes of death at a fourth digit level of the ICD-10, which for the first time is established at a level of the fourth digit of the ICD-10, that are configured as a demographic-epidemiological methodological instrument.

scholarly journals Developing and Evaluating Mappings of ICD-10 and ICD-10-CM Codes to PheCodes

2018 ◽  
Author(s):  
Patrick Wu ◽  
Aliya Gifford ◽  
Xiangrui Meng ◽  
Xue Li ◽  
Harry Campbell ◽  
...  
Keyword(s):  
Medical Center ◽  
Association Studies ◽  
International Classification Of Diseases ◽  
Snomed Ct ◽  
Unified Medical Language System ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
The Uk ◽  
Systematized Nomenclature Of Medicine

AbstractBackgroundThe PheCode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) in the electronic health record (EHR).ObjectiveHere, we present our work on the development and evaluation of maps from ICD-10 and ICD-10-CM codes to PheCodes.MethodsWe mapped ICD-10 and ICD-10-CM codes to PheCodes using a number of methods and resources, such as concept relationships and explicit mappings from the Unified Medical Language System (UMLS), Observational Health Data Sciences and Informatics (OHDSI), Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT), and National Library of Medicine (NLM). We assessed the coverage of the maps in two databases: Vanderbilt University Medical Center (VUMC) using ICD-10-CM and the UK Biobank (UKBB) using ICD-10. We assessed the fidelity of the ICD-10-CM map in comparison to the gold-standard ICD-9-CM→PheCode map by investigating phenotype reproducibility and conducting a PheWAS.ResultsWe mapped >75% of ICD-10-CM and ICD-10 codes to PheCodes. Of the unique codes observed in the VUMC (ICD-10-CM) and UKBB (ICD-10) cohorts, >90% were mapped to PheCodes. We observed 70-75% reproducibility for chronic diseases and <10% for an acute disease. A PheWAS with a lipoprotein(a) (LPA) genetic variant, rs10455872, using the ICD-9-CM and ICD-10-CM maps replicated two genotype-phenotype associations with similar effect sizes: coronary atherosclerosis (ICD-9-CM: P < .001, OR = 1.60 vs. ICD-10-CM: P < .001, OR = 1.60) and with chronic ischemic heart disease (ICD-9-CM: P < .001, OR = 1.5 vs. ICD-10-CM: P < .001, OR = 1.47).ConclusionsThis study introduces the initial “beta” versions of ICD-10 and ICD-10-CM to PheCode maps that will enable researchers to leverage accumulated ICD-10 and ICD-10-CM data for high-throughput PheWAS in the EHR.

scholarly journals Survival Strategies for Tsunami of ICD-10-CM for Interventionalists: Pursue or Perish!

2015 ◽  
Vol 5;18 (5;9) ◽  
pp. E685-E712
Author(s):  
Laxmaiah Manchikanti
Keyword(s):  
Pain Management ◽  
Health Information ◽  
International Classification Of Diseases ◽  
The United States ◽  
International Classification ◽  
American Hospital ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Interventional Pain Management

The unfunded mandate for the implementation of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) is scheduled October 1, 2015. The development of ICD-10-CM has been a complicated process. We have endeavored to keep Interventional Pain Management doctors apprised via a variety of related topical manuscripts. The major issues relate to the lack of formal physician participation in its preparation. While the American Health Information Management Association (AHIMA) and American Hospital Association (AHA) as active partners in its preparation. Centers for Medicare and Medicaid Services (CMS) and Centers for Disease Control and Prevention (CDC) are major players; 3M and Blue Cross Blue Shield Association are also involved. The cost of ICD-10-CM implementation is high, similar to the implementation of electronic health records (EHRs), likely consuming substantial resources. While ICD-10, utilized worldwide, includes 14,400 different codes, ICD-10-CM, specific for the United States, has expanded to 144,000 codes, which also includes procedural coding system. It is imperative for physicians to prepare for the mandatory implementation. Conversion from ICD-9-CM to ICD-10-CM coding in interventional pain management is not a conversion of one to one that can be easily obtained from software packages. It is a both a difficult and time-consuming task with each physician, early on, expected to spend on estimation at least 10 minutes per visit on extra coding for established and new patients. For interventional pain physicians, there have been a multitude of changes, including creation of new codes and confusing conversion of existing codes. This manuscript describes a variety of codes that are relevant to interventional pain physicians and often utilized in daily practices. It is our objective that this manuscript will provide coding assistance to interventional pain physicians. Key words: ICD-9-CM (International Classification of Diseases, Ninth revision, Clinical Modification), ICD-10, ICD-10-CM (International Classification of Diseases, 10th Revision), Health Insurance Portability and Accountability Act (HIPAA), Health Information Technology (HIT)

scholarly journals The Milano Sforza Registers

2021 ◽  
Author(s):  
Elia Biganzoli ◽  
Folco Vaglienti ◽  
Patrizia Boracchi ◽  
Ester Luconi ◽  
Silvana Castaldi ◽  
...  
Keyword(s):  
Causes Of Death ◽  
Social Ties ◽  
International Classification Of Diseases ◽  
Individual Responsibility ◽  
Database Application ◽  
The Social ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Original Classification

AbstractThe Mortorum Libri of Milano (1452-1801) represent the first register in Europe based on the daily recording of the dead and detailed information about the social ties of decease people.Mortorum Libri’s protocol is the first example of a monitoring and prevention chain based on ethical and juridical individual responsibility.The causes of death were codified according to the International Classification of Diseases (ICD-10) to relate the original classification with the present one.This study has a particular reference to the Registers of the 15th century and analyzes the mortality in 1480 as an example of the database application in epidemiology.

The Implementation of New Morbidity Classifications in Canada

2003 ◽  
Vol 31 (1) ◽  
pp. 1-8
Author(s):  
Lori Moskal
Keyword(s):  
Health Information ◽  
Health Interventions ◽  
Statistical Classification ◽  
Implementation Support ◽  
Canadian Institute ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
International Statistical Classification ◽  
New Morbidity

Canada is in the midst of a staggered implementation of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Canada (ICD-10-CA) and the Canadian Classification of Health Interventions (CCI). These classifications are more comprehensive than historical standards and their capacity extends beyond the scope of their predecessor classifications. Canada is the first country to produce the new classifications in a database, with the final product in an infobase format. The Canadian Institute for Health Information (CIHI) was responsible for the enhancement of ICD-10-CA, the development of CCI, the education of coders, and the provision of post-implementation support.

Grammars of Death

2004 ◽  
Vol 28 (1) ◽  
pp. 111-143
Author(s):  
Douglas L. Anderton ◽  
Susan Hautaniemi Leonard
Keyword(s):  
Causes Of Death ◽  
International Classification Of Diseases ◽  
Late Nineteenth Century ◽  
Mortality Trends ◽  
Robust Estimates ◽  
Specific Mortality ◽  
Classification Of Diseases ◽  
Late Nineteenth ◽  
Social Biases

Historical mortality analysis is often confounded by changing disease environments, diagnostic criteria, and terminology. Recorded causes of death are shaped by these local and historical contexts. We analyze changing literal causes of death during the shift from miasmatic to germ theories of disease using death records from two Massachusetts towns for selected years spanning 1850 to 1912. This analysis demonstrates that (1) International Classification of Diseases (ICD) classifications are more stable, yet potentially less informative, than the literal causes recorded in death accounts, (2) recorded causes of death often include additional qualifications and elaborations beyond basic literal causes of death, and the use of such qualifiers rose dramatically during the late nineteenth century, (3) social biases are clearly evident in the extent to which causes of death were further described or qualified, and (4) the additional descriptive qualification of deaths during this period of often ambiguous historical causes of death can potentially aid in efforts to classify causes of death and derive robust estimates of cause-specific mortality trends.

scholarly journals Analysis of obstetric code accuracy at hospital X in Padang 2018 based on international classification of diseases the 10th revision

2020 ◽  
Vol 7 (4) ◽  
pp. 1250
Author(s):  
Yastori .
Keyword(s):  
Health Information ◽  
Medical Record ◽  
Medical Records ◽  
Service Providers ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
The Republic

Background: Coding is one of the competencies of the  health  information  recorder  which has  a  very  important  role  in  supporting  the  improvement  of  the  quality  of health services in accordance with the republic of Indonesia decree  No. 377/Menkes/SK/III/2007 regarding the professional standards of medical record  and health information, medical recorders must be able to establish codes for diagnosis of disease and medical treatment appropriately. The accuracy of coding is related to financing claims, especially for hospitals that work with health service providers such as health insurance. The purpose of this study is to analyze the accuracy of coding based on international classification of diseases the 10th revision (ICD-10).Methods: Research using descriptive methods with a qualitative approach. The data collection technique used is the observation method that is direct observation of the medical record file. 56 medical records were randomly selected and recoded blindly (as gold standard). Processing statistical data using pivot tables and for coding analysis using ICD-10.Results: Accurate diagnosis code based on the ICD-10 is 14 (25%) and an inaccurate 42 (75%) of 56 diagnoses in the medical record file.  The most inaccurate code found is the fourth character with 22 codes.Conclusions: The inaccuracy of coding at hospital X in Padang was caused among others by the doctor's writing that was not clearly read, errors in the selection in sub categories and in the selection of the character code. In addition, people who work in the medical records section are generally not from a medical record background.

scholarly journals Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

2014 ◽  
Vol 48 (4) ◽  
pp. 671-681 ◽  
Author(s):  
Elisabeth França ◽  
Renato Teixeira ◽  
Lenice Ishitani ◽  
Bruce Bartholow Duncan ◽  
Juan José Cortez-Escalante ◽  
...  
Keyword(s):  
Causes Of Death ◽  
International Classification Of Diseases ◽  
Endocrine Diseases ◽  
Original Distribution ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Similar Factor ◽  
External Causes ◽  
Proportional Distribution

OBJECTIVE To propose a method of redistributing ill-defined causes of death (IDCD) based on the investigation of such causes.METHODS In 2010, an evaluation of the results of investigating the causes of death classified as IDCD in accordance with chapter 18 of the International Classification of Diseases (ICD-10) by the Mortality Information System was performed. The redistribution coefficients were calculated according to the proportional distribution of ill-defined causes reclassified after investigation in any chapter of the ICD-10, except for chapter 18, and used to redistribute the ill-defined causes not investigated and remaining by sex and age. The IDCD redistribution coefficient was compared with two usual methods of redistribution: a) Total redistribution coefficient, based on the proportional distribution of all the defined causes originally notified and b) Non-external redistribution coefficient, similar to the previous, but excluding external causes.RESULTS Of the 97,314 deaths by ill-defined causes reported in 2010, 30.3% were investigated, and 65.5% of those were reclassified as defined causes after the investigation. Endocrine diseases, mental disorders, and maternal causes had a higher representation among the reclassified ill-defined causes, contrary to infectious diseases, neoplasms, and genitourinary diseases, with higher proportions among the defined causes reported. External causes represented 9.3% of the ill-defined causes reclassified. The correction of mortality rates by the total redistribution coefficient and non-external redistribution coefficient increased the magnitude of the rates by a relatively similar factor for most causes, contrary to the IDCD redistribution coefficient that corrected the different causes of death with differentiated weights.CONCLUSIONS The proportional distribution of causes among the ill-defined causes reclassified after investigation was not similar to the original distribution of defined causes. Therefore, the redistribution of the remaining ill-defined causes based on the investigation allows for more appropriate estimates of the mortality risk due to specific causes.

scholarly journals A Seamless Navigation to ICD-10-CM for Interventional Pain Physicians: Is a Rude Awakening Avoidable?

2016 ◽  
Vol 1;19 (1;1) ◽  
pp. E1-E14
Author(s):  
Laxmaiah Manchikanti
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Survival Strategies ◽  
Information Technology Industry ◽  
Classification Of Diseases ◽  
Icd 10

Since October 1, 2015, the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) was integrated into U.S. medical practices. This monumental transition seemingly occurred rather unceremoniously, despite significant opposition and reservations having been expressed by the provider community. In prior publications, we have described various survival strategies for interventional pain physicians. The regulators and beneficiaries of system – CMS, consultants, and health information technology industry are congratulating themselves for a job well done. Nonetheless, this transition comes at an immeasurable financial and psychological drain on providers. However, a rude awakening may be making its way with expiration of initial concessions from government and private payers. This manuscript provides a template for interventional pain management professionals with multiple steps for seamless navigation, including descriptions of the most commonly used codes, navigation through ICD-10-CM manual, steps for correct coding, and finally, detailed coding descriptions for various interventional techniques. Key words: ICD-9-CM (International Classification of Diseases, Ninth revision, Clinical Modification), ICD-10, ICD-10-CM (International Classification of Diseases, 10th Revision), Health Insurance Portability and Accountability Act (HIPAA), Health Information Technology (HIT)

scholarly journals The Tragedy of the Implementation of ICD-10- CM as ICD-10: Is the Cart Before the Horse or Is There a Tragic Paradox of Misinformation and Ignorance?

2015 ◽  
Vol 18;4 (4;18) ◽  
pp. E485-E495
Author(s):  
Laxmaiah Manchikanti
Keyword(s):  
United States ◽  
Health Insurance ◽  
Health Information ◽  
International Classification Of Diseases ◽  
The United States ◽  
International Classification ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Health Insurance Portability

The forced implementation of ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) codes that are specific to the United States, scheduled for implementation October 1, 2015, which is vastly different from ICD-10 (International Classification of Diseases, Tenth Revision), implemented worldwide, which has 14,400 codes, compared to ICD-10-CM with 144,000 codes to be implemented in the United States is a major concern to practicing U.S. physicians and a bonanza for health IT and hospital industry. This implementation is based on a liberal interpretation of the Health Insurance Portability and Accountability Act (HIPAA), which requires an update to ICD-9- CM (International Classification of Diseases, Ninth Revision, Clinical Modification) and says nothing about ICD-10 or beyond. On June 29, 2015, the Supreme Court ruled that the Environmental Protection Agency unreasonably interpreted the Clean Air Act when it decided to set limits on the emissions of toxic pollutants from power plants, without first considering the costs on the industry. Thus, to do so is applicable to the medical industry with the Centers for Medicare and Medicaid Services (CMS) unreasonably interpreting HIPAA and imposing existent extensive regulations without considering the cost. In the United States, ICD-10-CM with a 10-fold increase in the number of codes has resulted in a system which has become so complicated that it no longer compares with any other country. Moreover, most WHO members use the ICD-10 system (not ICD-10-CM) only to record mortality in 138 countries or morbidity in 99 countries. Currently, only 10 countries employ ICD-10 (not ICD-10-CM) in the reimbursement process, 6 of which have a single payer health care system. Development of ICD-10-CM is managed by 4 non-physician groups, known as cooperating parties. They include the Centers for Disease Control and Prevention (CDC), CMS, the American Hospital Association (AHA), and the American Health Information Management Association (AHIMA). The AHIMA has taken the lead with the AHA just behind, both with escalating profits and influence, essentially creating a statutory monopoly for their own benefit. Further, the ICD-10-CM coalition includes 3M which will boost its revenues and profits substantially with its implementation and Blue Cross Blue Shield which has its own agenda. Physician groups are not a party to these cooperating parties or coalitions, having only a peripheral involvement. ICD-10-CM creates numerous deficiencies with 500 codes that are more specific in ICD-9-CM than ICD-10-CM. The costs of an implementation are enormous, along with maintenance costs, productivity, and cash disruptions. Key words: ICD-10-CM, ICD-10, ICD-9-CM (International Classification of Diseases, 10th Revision, Ninth revision, Clinical Modification), Health Insurance Portability and Accountability Act (HIPAA), Health Information Technology (HIT), costs of implementation

Sign in / Sign up

Export Citation Format

Share Document