Os registros eletrônicos em saúde e seus potenciais impactos no campo da saúde pública

Autores

  • Luciana Tricai Cavalini Universidade do Estado do Rio de Janeiro
  • Nathália Cristina Laurindo de Oliveira Ahiadzro Universidade do Estado do Rio de Janeiro
  • Timothy Wayne Cook MedWeb 3.0

Palavras-chave:

Registros Eletrônicos de Saúde, Informática em Saúde Pública, Vigilância em Saúde Pública

Resumo

Os Registros Eletrônicos em Saúde (RES) têm sido incorporados de forma crescente aos serviços de saúde, em escala global. O uso de dados provenientes de RES para a pesquisa e a prática em saúde pública ainda é incipiente, em comparação com os métodos tradicionais de coleta e processamento de dados, através de inquéritos e notificação de casos. Existe um potencial ainda inexplorado de adoção dos RES como um instrumento metodológico para o campo da saúde pública, o que depende da superação de diversos desafios tecnológicos sendo atualmente enfrentados pela área de informática em saúde. O presente artigo tem como objetivo realizar uma revisão crítica sobre tema dos RES e seu potencial impacto no campo da saúde pública, incluindo uma descrição das dimensões e processos relacionados aos desafios a serem enfrentados para adoção efetiva dos RES como um instrumento válido para uso na pesquisa e na prática em saúde pública. As soluções disponíveis para tais desafios são apresentadas, com foco nos padrões da área de informática em saúde que se relacionam aos requisitos de informação em saúde específicos do campo da saúde pública.

Biografia do Autor

Luciana Tricai Cavalini, Universidade do Estado do Rio de Janeiro

Professora Adjunta do Departamento de Tecnologias da Informação e Educação em Saúde - Faculdade de Ciências Médicas - Universidade do Estado do Rio de Janeiro - Doutorado em Saúde Coletiva

Nathália Cristina Laurindo de Oliveira Ahiadzro, Universidade do Estado do Rio de Janeiro

Bolsista do Programa de Apoio Técnico às Atividades de Ensino, Pesquisa e Extensão (PROATEC) - Universidade do Estado do Rio de Janeiro - Graduação em Odontologia

Timothy Wayne Cook, MedWeb 3.0

Chief Technological Officer da MedWeb 3.0 - MSc in Health Informatics

Referências

Gunter TD, Terry NP. the emergence of national electronic health record architectures in the United States and Australia: models, costs, and questions. J Med Internet Res 2005; 7: e3.

Häyrinen K, Saranto K, Nykänen P. Definition, structure, content, use and impacts of electronichealthrecords: a review of the research literature. Int J Med Inform 2008; 77: 291-304.

Grimson J. Delivering the electronic healthcare record for the 21st century. Int J Med Inform 2001; 64: 111-27.

Wu S, Chaudhry B, Wang J, Maglione M, Mojica W, Roth E, Morton SC, Shekelle PG. Impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; 144: 742-52.

Bays RA, Kaelin LD. Electronic medical records for the office. J Vasc Surg 2010; 51: 1302-8.

Long RE, Smith A, Machotka SV, Chlipala E, Cann J, Knight B, Kawano Y, Ellin J, Lowe A. Scientific and Regulatory Policy Committee (SRPC) paper: validation of digital pathology systems in the regulated nonclinical environment. Toxicol Pathol 2013; 41: 115-24.

Soriano E, Plazzotta F, Campos F, Kaminker D, Cancio A, Aguilera Díaz J, Luna D, Seehaus A, Carcía Mónaco R, de Quirós FG. Integration of healthcare information: from enterprise PACS to patient centered multimedia health record. Stud Health Technol Inform 2010; 160: 126-30.

Cufar A, Droljc A, Orel A. Electronic medication ordering with integrated drug database and clinical decision support system. Stud Health Technol Inform 2012; 180: 693-7.

Rupp MT, Warholak TL. Evaluation of e-prescribing in community pharmacy: bestpractice recommendations. J Am Pharm Assoc 2008; 48: 364-70.

Chaffee BW. Future of clinical decision support in computerized prescriber order entry. Am J Health Syst Pharm 2010; 67: 932-5.

Vedvik E, Tjora AH, Faxvaag A. Beyond the EPR: complementary roles of the hospital-wide electronic health record and clinical departmental systems. BMC Med Inform Decis Mak 2009; 9: 29.

Rothschild AS, Dietrich L, Ball MJ, Wurtz H, Farish-Hunt H, Cortes-Comerer N. Leveraging systems thinking to design patient-centered clinical documentation systems. Int J Med Inform 2005; 74: 395-8.

Bassi J, Lau F. Measuring value for money: a scoping review on economic evaluation of health information systems. J Am Med Inform Assoc 2013; 20: 792-801.

Hannan T, Brooks P. Health workforce changes and the roles of information technology associated with these changes. Intern Med J 2012; 42: 722-7.

Zwaanswijk M, Verheij RA, Wiesman FJ, Friele RD. Benefits and problems of electronic information exchange as perceived by health care professionals: an interview study. BMC Health Serv Res 2011; 11: 256.

Mi T, Rajasekaran S, Aseltine R. Efficient algorithms for fast integration on large data sets from multiple sources. BMC Med Inform Decis Mak 2012; 12: 59.

Albers DJ, Hripcsak G. Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations. Chaos 2012; 22: 013111.

Mason-Blakley F, Weber J. A systems theory classification of EMR hazards: preliminary results. Stud Health Technol Inform 2013; 183: 214-9.

Al-Azmi SF, Al-Enezi N, Chowdhury RI. Users’ attitudes to an electronic medical record system and its correlates: a multivariate analysis. HIM J 2009; 38: 33-40.

Eastaugh SR. The total cost of EHR ownership. Healthc Financ Manage 2013; 67: 66-70.

Engel K, Blobel B, Pharow P. Standards for enabling health informatics interoperability. Stud Health Technol Inform 2006; 124: 145-50.

Blobel B. Advanced and secure architectural EHR approaches. Int J Med Inform 2006; 75: 185-90.

Klein GO. ISO and CEN standards for health informatics: synergy or competition. Stud Health Technol Inform 2003; 96: 259-65.

Amatayakul M. Help in setting access controls: using the HL7 RBAC Healthcare Permission Catalog to reduce data breaches. J AHIMA 2008; 79: 56-7, 61.

Namli T, Aluc G, Dogac A. An interoperability test framework for HL7-based systems. IEEE Trans Inf Technol Biomed 2009; 13: 389-99.

Sun S, Austin T, Kalra D. A data types profile suitable for use with ISO EN 13606. J Med Syst 2012; 36: 3621-35.

Chen R, Klein G. The openEHR Java reference implementation project. Stud Health Technol Inform 2007; 129: 58-62.

Garde S, Knaup P, Hovenga E, Heard S. Towards semantic interoperability for electronic health records. Methods Inf Med 2007; 46: 332-43.

Martínez-Costa C, Menárguez-Tortosa M, Fernández-Breis JT. Towards ISO 13606 and openEHR archetype-based semantic interoperability. Stud Health Technol Inform 2009; 150: 260-4.

Cavalini, L. T., Cook, T. W. Use of XML Schema Definition for the development of semantically interoperable healthcare applications. Lecture Notes in Computer Science 2014; 8315:125-145.

International Standards Organization. ISO/TS 17117:2002. Controlled health terminology: structure and high-level indicators. Geneva; 2002.

Campbell JR, Brear H, Scichilone R, White S, Giannangelo K, Carlsen B, Solbrig H, Fung KW. semantic interoperation and electronic health records: context sensitive mapping from SNOMED CT to ICD-10. Stud Health Technol Inform 2013; 192: 603-7.

Herasevich V, Pickering BW, Dong Y, Peters SG, Gajic O. Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness. Mayo Clin Proc 2010; 85: 247-54.

Grimshaw J, Eccles M, Tetroe J. Implementing clinical guidelines: current evidence and future implications. J Cont Educ Health Profess 2004; 24: S31-7.

Sloane PD, MacFarquhar JK, Sickbert-Bennett E, Mitchell CM, Akers R, Weber DJ, Howard K. Syndromic surveillance for emerging infections in office practice using billing data. Ann Fam Med 2006; 4: 351-8.

Fraser HS, Biondich P, Moodley D, Choi S, Mamlin BW, Szolovits P. Implementing electronic medical record systems in developing countries. Inform Prim Care 2005; 13: 83-95.

Wieland ML, Wu ST, Kaggal VC, Yawn BP. Tracking health disparities through natural-language processing. Am J Public Health 2013; 103: 448-9.

Bremner SA, Carey IM, DeWilde S, Richards N, Maier WC, Hilton SR, Strachan DP, Cook DG. Early-life exposure to antibacterials and the subsequent development of hayfever in childhood in the UK: case-control studies using the General Practice Research Database and the Doctors’ Independent Network. Clin Exp Allergy 2003; 33: 1518-25.

Lau B, Gange SJ, Moore RD. Interval and clinical cohort studies: epidemiological issues. AIDS Res Hum Retroviruses 2007; 23: 769-76.

Biermans MC, Verheij RA, de Bakker DH, Zielhuis GA, de Vries Robbé PF. Estimating morbidity rates from electronic medical records in general practice. Evaluation of a grouping system. Methods Inf Med 2008; 47: 98-106.

Luchenski S, Balasanthiran A, Marston C, Sasaki K, Majeed A, Bell D, Reed JE. Survey of patient and public perceptions of electronic health records for healthcare, policy and research: study protocol. BMC Med Inform Decis Mak 2012; 12: 40.

Silva Júnior JB. Epidemiologia em serviço: uma avaliação de desempenho do Sistema Nacional de Vigilância em Saúde [tese de doutorado]. Campinas: Universidade Estadual de Campinas; 2004.

Huaman MA, Araujo-Castillo RV, Soto G, Neyra JM, Quispe JA, Fernandez MF, Mundaca CC, Blazes DL. Impact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation. BMC Med Inform Decis Mak 2009; 9: 16.

Boehmer TK, Patnaik JL, Burnite SJ, Ghosh TS, Gershman K, Vogt RL. Use of hospital discharge data to evaluate notifiable disease reporting to Colorado’s Electronic Disease Reporting System. Public Health Rep 2011; 126: 100-6.

Hay SI, George DB, Moyes CL, Brownstein JS. Big data opportunities for global infectious disease surveillance. PLoS Med 2013; 10: e1001413.

Lober WB, Baer A, Karras BT, Duchin JS. Collection and integration of clinical data for surveillance. Stud Health Technol Inform 2004; 107: 1211-5.

Azim T, Saidel TJ, Brown T. Essential elements of strategic information systems to guide focused HIV responses in south and south-east Asia. AIDS 2010; 24: S54-61.

López-Alonso V, Hermosilla-Gimeno I, López-Campos G, Mayer MA. Future challenges of biomedical informatics for translational medicine. Stud Health Technol Inform 2013; 192: 942.

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Publicado

2013-12-01

Como Citar

1.
Cavalini LT, Ahiadzro NCL de O, Cook TW. Os registros eletrônicos em saúde e seus potenciais impactos no campo da saúde pública. JBT [Internet]. 1º de dezembro de 2013 [citado 6º de dezembro de 2025];2(4):116-25. Disponível em: https://jbt.abtms.org.br/index.php/jbt/article/view/40

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