Análisis de las barreras para la unificación de una Historia Clínica Electrónica -HCE- en Colombia

dc.contributorGonzalez-Rodriguez, Javier-Leonardo
dc.creatorBenedetti Arzuza, Mario
dc.date.accessioned2016-07-05T16:04:40Z
dc.date.available2016-07-05T16:04:40Z
dc.date.created2016-07-05T16:04:40Z
dc.date.issued2016
dc.identifierhttp://repository.urosario.edu.co/handle/10336/12122
dc.identifierhttps://doi.org/10.48713/10336_12122
dc.description.abstractObjective: Identify barriers to the unification of a -HER- in Colombia. Materials and Methods: A qualitative study. Semi-structured interviews were conducted with professionals and experts from 22 health institutions in Bogota and Cundinamarca, Santander, Antioquia, Caldas, Huila, Valle del Cauca. Results: Colombia is in a structure for the implementation of the Unified Electronic Health -HCEU- History. Currently, it is in unification in 42 public IPSs in the department of Cundinamarca, HCEU development in the country is private and self-development due to the particular needs of each IPS. Conclusions: New human barriers, financial, legal, organizational, technical and professional respondents departments. It was identified that the unification of HCE depends on the agreement of wills between the IPSs public and private sectors, EPSs, and the national government.
dc.languagespa
dc.publisherUniversidad del Rosario
dc.publisherMaestría en Administración en Salud
dc.publisherFacultad de administración
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto completo)
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia
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dc.source1. Ben-Assuli O. Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments. 2014; 0(1): 1-11.
dc.source2. Hoerbst A, Kohl C, Knaup P, Ammenwerth E. Attitudes and behaviors related to the introduction of electronic health records among Austrian and German citizens. 2009; 79(1): 81-89.
dc.source3. Varela J, Castells X, Iniesta C, Cots F. Instrumentos de la gestión clínica: desarrollo y perspectivas. 2008; 130(8): 312-318.
dc.source4. Minujín G. Competitividad y complejos productivos: teoría y lecciones de política. Vol27. 1ª ed. Buenos Aires: United Nations Publications; 2005.
dc.source5. Legaz M, Menarguez M, Fernandez J, Chute C, Tao C. Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes. 2014; 0(1): 1-9.
dc.source6. Kierkegaard P. Interoperability after deployment: persistent challenges and regional strategies in Denmark.2015; 0(1): 1-7.
dc.source7. Hayrinen K, Saranto K, Nykanen P.Definition, structure, content, use and impacts of electronichealth records: A review of the research literature.International Journal of Medical Informatics. 2008; 77(1): 293-294.
dc.source8. Pérez J, García J, Tejedor M. Gestión clínica: conceptos y metodología de implantación. Calidad Asistencial. 2002; 17(5): 305-310.
dc.source9. Deutsch E, Duftschmid G, Dorda W. Critical areas of national electronic health record programs—Is our focus correct?. 2010; 79(1): 211-212.
dc.source10. Cline S. The Promise of Data-Driven Care. 2014; 75(3): 178-182.
dc.source11. Ross M, Wei W, Ohno-Machado L. “Big Data” and the Electronic Health Record. 2014; 0(1): 97-104.
dc.source12. Ludwick D, Doucette J. Adopting electronic medical records in primary care: Lessons learned from health information systems implementation experience in seven countries. 2009; 78(1): 22-31.
dc.source13. Zettel L, Tsukerman D. Adoption of online health management tools among healthy older adults: An exploratory study. 2014; 01(1): 01-13.
dc.source14. Khalifa M. Barriers to Health Information Systems and Electronic Medical Records Implementation A Field Study of Saudi Arabian Hospitals. 2013; 21(1): 335-342.
dc.source15. Steven J. The Promise of Data-Driven Care. 2014; 75(3): 178-182.
dc.source16. McCullough J, Zimmerman F, Bell D, Rodriguez H. Electronic health information exchange in underserved settings: examining initiatives in smallphysician practices & community health centers. 2014; 01(1): 01-10.
dc.source17. Bhuyan S, Zhu H, Chandak A, Kim J, Stimpson J. Do service innovations influence the adoption of Electronic health records in long-term care organizations? Resultsfromthe U.S.National Survey of Residential Care Facilities. 2014; 75(1): 975-982.
dc.source18. Natarajan K, Stein D, Jain S, Elhadad N. An analysis of clinical queries in an electronic health record search utility. 2010; 79(1): 515-522.
dc.source19. Paré G, Raymond L, Ortiz A, Poba-Nzaou P, Trudel M, Marsan J, Micheneau T. Barriers to organizational adoptionof EMR systems in family physician practices: Amixed-methods Study in Canada. 2014; 83(1): 548-558.
dc.source20. Sittig D, Gonzalez D, Singh H. Contingency planning forelectronichealthrecord-basedcarecontinuity:A survey ofrecommendedpractices. 2014; 83(1): 797-804.
dc.source21. McAlearney A, Robbins J, Sieck C & Huerta T. Facilitating Ambulatory Electronic Health Record System Implementation: Evidence from a Qualitative Study.2013; 01(1): 1-9.
dc.source22. Levy H, Janke A, Langa K. Health Literacy and the Digital Divide Among Older Americans.2014; 01(1): 1-6.
dc.source23. Lluch M. Healthcare professionals’ organisational barriers to health information Technologies - Aliteraturereview.2011; 80(1): 849-862.
dc.source24. Inokuchi R, Sato H, Nakamura K, Shinohara K, Gunshin M, Matsubara T, Kitsuta Y, Yahagi N, Nakajima S, Aoki Y. Motivations and barriers to implementing electronic health records and ED information systems in Japan.2014; 32(1): 725-730.
dc.source25. Gottlieb L, Tirozzi K, Manchanda R, Burns A, Sandel M. Moving Electronic Medical Records Upstream - Incorporating Social Determinants of Health.2015; 48(2): 215-218.
dc.source26. Ancker J, Singh M, Thomas R, Snyder A, Kashyap A, Kaushal R. edictors of success for electronichealth record implementation insmall physician practices.2013; 4(1): 12-24.
dc.source27. Gregerson J. The Great Migration: Opportunities and Obstacles Await Those Advancing toward Electronic Health Record Adoption. 2012; 112(11): 1710-1717.
dc.source28. Aldosari B. Rates, levels, and determinant sof electronic health record System adoption: A study of hospitals in Riyadh, Saudi Arabia. 2013; 4(1): 12-24.
dc.source29. Abdekhoda M, Ahmadi M, Gohari M, Noruzi A. The effects of organizational contextual factors on physicians’ attitude toward adoption of Electronic Medical Records. 2014; 1(1): 1-6.
dc.source30. Jardim S. The Electronic Health Record and its Contribution to Healthcare Information Systems Interoperability. 2013; 9(1): 940-948.
dc.source31. Lobach D, Detmer D. Research Challenges for Electronic Health Records. 2007; 32(5s): 104-111.
dc.source32. Geibert R. Using Diffusion of Innovation Concepts to Enhance Implementation of an electronic Health Record to Support Evidence-based Practice. 2006; 30(3): 203-210.
dc.source33. McAlearney A, Hefner J, Sieck C, Rizer M, Huerta T. Fundamental Issues in Implementing an Ambulatory Care Electronic Health Record. 2015; 28(1): 55-64.
dc.source34. Rezaeibagha F, Win KT, Susilo W. A systematic literature review on security and privacy of electronic health record systems: technical perspectives. 2015; 44(3): 23-38.
dc.source35. Asadi F, Moghaddasi H, Rabiei R, Rahimi F, Mirshekarlou SJ. The Evaluation of SEPAS National Project Based on Electronic Health Record System (EHRS) Coordinates in Iran. 2015; 23(6): 369-373.
dc.source36. Henao R, Murray J, Ginsburg G, Carin L, Lucas JE. Patient clustering with uncoded text in electronic medical records. 2013; 1(1): 592-599.
dc.source37. Lazarus R, Kleinman K, Dashevsky I, Adams C, Kludt P, DeMaria A Jr, Platt R. Use of automated ambulatory-care encounter records for detection of acute illness clusters, including potential bioterrorism events. 2002; 8(8): 753-760.
dc.source38. Raghavan VV, Chinta R, Zhirkin N. Macro influencers of electronic health records adoption. 2015; 8(1): 76-94.
dc.source39. Nicklaus J, Kusser J, Zessin J, Amaya M. Transforming Education for Electronic Health Record Implementation. 2015; 4(8): 359-363.
dc.source40. Jilka SR, Callahan R, Sevdalis N, Mayer EK, Darzi A. "Nothing About Me Without Me": An Interpretative Review of Patient Accessible Electronic Health Records. 2015; 17(6): 1-10.
dc.source41. Slight SP, Berner ES, Galanter W, Huff S, Lambert BL, Lannon C, Lehmann CU, McCourt BJ, McNamara M, Menachemi N, Payne TH, Spooner SA, Schiff GD, Wang TY, Akincigil A, Crystal S, Fortmann SP, Bates DW. Meaningful Use of Electronic Health Records: Experiences From the Field and Future Opportunities. JMIR Med Inform. 2015; 3(3): 1-10.
dc.source42. Scott P, Worden R. Semantic mapping to simplify deployment of HL7 v3 Clinical Document Architecture. 2012; 45(4): 697-702.
dc.source43. El Fadly A, Daniel C, Bousquet C, Dart T, Lastic PY, Degoulet P. Electronic Healthcare Record and clinical research in cardiovascular radiology HL7 CDA and CDISC ODM interoperability. 2007; 1(1): 216-220.
dc.source44. Raposo VL. Electronic health records: Is it a risk worth taking in healthcare delivery?. 2015; 11(1): 1-9.
dc.source45. Griffith R. Patient information: confidentiality and the electronic record. 2015; 24(17): 894-895.
dc.source46. Kho AN et al. Design and implementation of a privacy preserving electronic health record linkage tool in Chicago. 2015; 24(17): 894-895.
dc.source47. Park H, Lee SI, Hwang H, Kim Y, Heo EY, Kim JW, Ha K. Can a health information exchange save healthcare costs? Evidence from a pilot program in South Korea. 2015; 84(9): 658-666.
dc.source48. Shen JJ, Ginn GO. Financial position and adoption of electronic health records: a retrospective longitudinal study. 2012; 38(3): 71-77.
dc.source49. Ginn GO1, Shen JJ, Moseley CB. Hospital financial position and the adoption of electronic health records. 2011; 56(5): 337-350.
dc.source50. Abraham S. Technological trends in health care: electronic health record. 2010; 29(4): 318-323.
dc.sourceinstname:Universidad del Rosario
dc.sourcereponame:Repositorio Institucional EdocUR
dc.subjectRegistros médicos electrónicos
dc.subjectBarreras
dc.subjectAdopción
dc.subjectclusters
dc.subjectintroducción
dc.subjectBig Data
dc.titleAnálisis de las barreras para la unificación de una Historia Clínica Electrónica -HCE- en Colombia
dc.typemasterThesis


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