PDF herunterladen
Yearb Med Inform 2015; 24(01): 207-15
DOI: 10.15265/IY-2015-019
Original Article
Georg Thieme Verlag KG Stuttgart

Patient-Centred Coordinated Care in Times of Emerging Diseases and Epidemics

Contribution of the IMIA Working Group on Patient Safety
E. Borycki
1   School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada
,
E. Cummings
2   School of Health Sciences, Faculty of Health, University of Tasmania, Hobart, Tasmania, Australia
,
J. W. Dexheimer
3   Division of Emergency Medicine, Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
,
Y. Gong
4   School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA
,
S. Kennebeck
5   Division of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
,
A. Kushniruk
1   School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada
,
C. Kuziemsky
6   Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada
,
K. Saranto
7   Department of Health and Social Management, University of Eastern Finland, Kuopio, Kuopio, Finland
,
J. Weber
1   School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada
,
H. Takeda
8   Graduate School of Health Care Sciences, Jikei Institute, Osaka, Japan
› Institutsangaben
Weitere Informationen

Publikationsverlauf

30. Juni 2015

Publikationsdatum:
10. März 2018 (online)

   Lizenzen und Reprints

Summary

Objectives: In this paper the researchers describe how existing health information technologies (HIT) can be repurposed and new technologies can be innovated to provide patient-centered care to individuals affected by new and emerging diseases.

Methods: The researchers conducted a focused review of the published literature describing how HIT can be used to support safe, patient-centred, coordinated care to patients who are affected by Ebola (an emerging disease).

Results: New and emerging diseases present opportunities for repurposing existing technologies and for stimulating the development of new HIT innovation. Innovative technologies may be developed such as new software used for tracking patients during new or emerging disease outbreaks or by repurposing and extending existing technologies so they can be used to support patients, families and health professionals who may have been exposed to a disease. The paper describes the development of new technologies and the repurposing and extension of existing ones (such as electronic health records) using the most recent outbreak of Ebola as an example.

Keywords

Patient safety - health information technology - Ebola virus - electronic health records - technological innovations
 

  • References

  • 1 Ryan R, Santesso N, Lowe D, Hill S, Grimshaw J, Prictor M. et al. Interventions to improve safe and effective medicines use by consumers: an overview of systematic reviews. Cochrane Database Syst Rev 2014: 4.
    PubMedGoogle Scholar
  • 2 McCarthy DM, Davis TC, King JP, Mullen RJ, Bailey SC, Serper M. et al. Take-Wait-Stop: a patient-centered strategy for writing PRN medication instructions. J Health Commun 2013; 18 (Suppl. 01) 40-8.
    CrossrefPubMedGoogle Scholar
  • 3 Huber J, Ihrig A, Winkler E, Winkler E, Brechtel A, Friederich HC, Herzog W. et al. Interdisciplinary counseling service for renal malignancies: A patient-centered approach to raise guideline adherence. Urol Oncol 2014 Oct 30.
    PubMedGoogle Scholar
  • 4 McMullen CK, Safford MM, Bosworth HB, Phansalkar S, Leong A, Fagan MB. et al. Patient-centered priorities for improving medication management and adherence. Patient Educ Couns 2014; 98 (01) 102-10.
    PubMedGoogle Scholar
  • 5 Reed SC, Partridge AH, Nekhlyudov L. Shared Medical Appointments in Cancer Survivorship Care: A Review of the Literature. J Oncol Pract 2014 Nov 25.
    PubMedGoogle Scholar
  • 6 Gulliford M, Smriti N, Myfanway M. What is ‘continuity of care’?. J Health Serv Res Policy 2006; Oct 11 (04) 248-50.
    CrossrefPubMedGoogle Scholar
  • 7 Hernandez LM. Health literacy, eHealth and communication: Putting the consumer first workshop summary. Institute of Medicine: Washington, D. C; 2009
    Google Scholar
  • 8 Simon AC, Gude WT, Holleman F, Hoekstra JB, Peek N. Diabetes patients’ experiences with the implementation of insulin therapy and their perceptions of computer-assisted self-management systems for insulin therapy. J Med Internet Res 2014; 16 (10) e235.
    CrossrefPubMedGoogle Scholar
  • 9 Magnuson JA, Fu PC. Public Health Informatics and Information Systems. London: Springer; 2014
    Google Scholar
  • 10 Borycki EM. Technology-induced errors: where do they come from and what can we do about them?. Stud Health Tech Inform 2013. 194 20-6.
    Google Scholar
  • 11 Kuziemsky CE, Borycki EM, Purkis ME, Black F, Boyle M, Cloutier-Fisher D. et al. An interdisciplinary team communication framework and its application to healthcare’e-teams’ systems design. BMC Med Inform Decis Mak 2009; Sep 15 9: 43.
    CrossrefPubMedGoogle Scholar
  • 12 Pendergrast M. Inside the outbreaks. Boston: Mariner Books; 2011
    Google Scholar
  • 13 Frisch LF, Borycki EM, Capron A, Mawudeku A, John RS. Public Health Informatics in Canada. In; Public Health Informatics and Information Systems. London: Springer; 2014. P. 603-18.
    Google Scholar
  • 14 Zhang J, Sun J, Yang Y, Chen X, Meng L, Lian P. Web-based electronic patient records for collaborative medical applications. Comput Med Imaging Graph 2005; Mar-Apr 29 2-3 115-24.
    CrossrefPubMedGoogle Scholar
  • 15 Valaitis RK, Akhtar-Danesh N, Kealey CM, Brunetti GM, Thomas H. A severe acute respiratory syndrome extranet: Supporting local communication and information dissemination. BMC BMC Med Inform Decis Mak 2005; 5 (01) 17
    PubMedGoogle Scholar
  • 16 Centres for Disease Control and Prevention.. Case definition for Ebola virus disease (EVD). 2014 http://www.cdc.gov/vhf/ebola/hcp/case-definition.html (accessed on December 15, 2014 .)
    PubMedGoogle Scholar
  • 17 World Health Organization.. Ebola virus disease. http://www.who.int/mediacentre/factsheets/fs103/en (accessed on December 15, 2014 )
    PubMedGoogle Scholar
  • 18 BBC News.. Ebola: Mapping the outbreak. December 16, 2014. http://www.bbc.com/news/world-africa-28755033?print=true. (accessed on December 15, 2014 .)
    PubMedGoogle Scholar
  • 19 Sittig DE, Singh H. A new socio-technical model for studying health information technology in complex adaptive healthcare systems. Qual Saf Health Care 2010; 19 (03) 68-74.
    CrossrefPubMedGoogle Scholar
  • 20 Lee K, Hoti K, Hughes DJ, Emmerton L. Dr Google and the Consumer: A Qualitative Study Exploring the Navigational Needs and Online Health Information-Seeking Behaviors of Consumers With Chronic Health Conditions. J Med Internet Res 2014; 16 (12) e262
    Google Scholar
  • 21 Zulman MD, Kirch M, Zheng K, An CL. Trust in the Internet as a Health Resource Among Older Adults: Analysis of Data from a Nationally Representative Survey. J Med Internet Res 2011; 13 (01) e19.
    CrossrefPubMedGoogle Scholar
  • 22 Wagner MM, Tsui FC, Espino JU, Dato VM, Sittig DF, Caruana RA. et al. The emerging science of very early detection of disease outbreaks. J Public Health Manag Pract 2001; Nov 7 (06) 51-9.
    CrossrefPubMedGoogle Scholar
  • 23 Purcell K., Rainie L. Americans Feel Better Informed Thanks to the Internet. Pew Internet Research Project. 2014 Retrieved from www.pewinternet.org/2014/12/08/better-informed
    PubMedGoogle Scholar
  • 24 Boyer C, Gaudinat A, Baujard V, Geissbuhler A. Health on the Net Foundation: assessing the quality of health web pages all over the world, in Medinfo 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics; Building Sustainable Health Systems. 2007 p. 1017
    PubMedGoogle Scholar
  • 25 Peterson G, Aslani P, Williams AK. How do Consumers Search for and Appraise Information on Medicines on the Internet?. A Qualitative Study Using Focus Groups. J Med Internet Res 2003; 5 (04) e33.
    CrossrefPubMedGoogle Scholar
  • 26 ITU. The World in 2010: ICT facts and figures. available from: http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2010.pdf #search=world%20mobile%20uptake, Accessed 30/12/2014.
    PubMedGoogle Scholar
  • 27 Prescott R. M-health: 2.8 million patients remotely monitored worldwide in 2012. available from http://www.rcrwireless.com/20130116/wireless/2-8-m-patients-remotely-monitored-worldwide-2012 accessed 30/12/2014.
    PubMedGoogle Scholar
  • 28 Sahota D. Africa gets smart: continent prepares for device revolution. January 9, 2014 available at: http://www.telecoms.com/209421/africa-gets-smart-continent-prepares-for-device-revolution accessed December 4 2014
    PubMedGoogle Scholar
  • 29 Whitney L. LG to donate 2,000 smartphones to UN’s Ebola effort. 24 October 2014 www.cnet.com/au/news/lg-to-donate-2000-smart-phones-to-aid-uns-ebola-effort
    PubMedGoogle Scholar
  • 30 Upadhyay D, Sittig DF, Singh H. Ebola US patient zero: lessons on misdiagnosis and effective use of electronic health records [ePub ahead of print]. Diagnosis 2014
    PubMedGoogle Scholar
  • 31 Borycki EM, Kushniruk AW. Where do technology-induced errors come from?. Towards a model for conceptualizing and diagnosing errors caused by technology. Human, Social, and Organizational Aspects of Health Information Systems. Hershey, Pennsylvania: Idea Group; 2008
    Google Scholar
  • 32 Kushniruk AW, Triola MM, Borycki EM, Stein B, Kannry JL. Technology induced error and usability: The relationship between usability problems and prescription errors when using a handheld application. Int J Med Inform 2005; 74 (07) 519-26.
    CrossrefPubMedGoogle Scholar
  • 33 Varga D. Examing the U.S. public health response to the Ebola outbreak. Testimony, October 16, 2014, before the U.S. House Energy and Commerce Committe and Subcommittee on Oversight and Investigations; 2014
    PubMedGoogle Scholar
  • 34 Musen MA, Shakar Y, Shortliffe EH. Clinical Decision-Support Systems. In: Shortliffe EH, Cimino JJ. editors. Biomedical informatics: computer applications in health care and biomedicine. 3rd ed. New York: Springer; 2006. p. 698-736.
    Google Scholar
  • 35 Slagle JM, Gordon JS, Harris CE, Davison CL, Culpepper DK, Scott P. et al. MyMediHealth - designing a next generation system for child-centered medication management. J Biomed Inform 2010; Oct; 43 (Suppl. 05) S27-31.
    CrossrefPubMedGoogle Scholar
  • 36 Chute CG, Beck SA, Fisk TB, Mohr DN. The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data. J Am Med Inform Assoc 2010; Mar-Apr 17 (02) 131-5.
    CrossrefPubMedGoogle Scholar
  • 37 Bell LM, Grundmeier R, Localio R, Zorc J, Fiks AG, Zhang X. et al. Electronic health record-based decision support to improve asthma care: a cluster-randomized trial. Pediatrics 2010; Apr 125 (04) e770-7.
    CrossrefPubMedGoogle Scholar
  • 38 Charles D, Gabriel M, Furukawa M. Adoption of electronic health record systems among U.S. non-federal acute care hospitals: 2008-2013. ONC data brief no. 16. Washington, DC: Office of the National Coordinator for Health Information Technology; May 2014
    Google Scholar
  • 39 Mandl KD. Ebola in the United States: EHRs as a Public Health Tool at the Point of Care. JAMA 2014; Dec 17 312 (23) 2499-500.
    CrossrefPubMedGoogle Scholar
  • 40 Wright A, Sittig DF. SANDS: A service-oriented architecture for clinical decision support in a national health information network. J Biomed Inform 2008; 41: 962-81.
    CrossrefPubMedGoogle Scholar
  • 41 Lurio J, Morrison FP, Pichardo M, Berg R, Buck MD, Wu W. et al. Using electronic health record alerts to provide public health situational awareness to clinicians. J Am Med Inform Assoc 2010; 17 (02) 217-9.
    CrossrefPubMedGoogle Scholar
  • 42 Collins SA, Bakken S, Vawdrey DK, Coiera E, Currie L. Model development for EHR interdisciplinary information exchange of ICU common goals. Int J Med Inform 2011; 80 (08) e141-e149.
    CrossrefPubMedGoogle Scholar
  • 43 Samsung fight ebola with smartphone donation. http://www.itwebafrica.com/mobile/435-sierra-leone/233667-samsung-fights-ebola-with-smartphone-donation
    PubMedGoogle Scholar
  • 44 Tomines A, Readhead H, Readhead A, Teutsch S. Applications of Electronic Health Information in Public Health: Uses, Opportunities and Barriers. eGEMs (Generating Evidence & Methods to improve patient outcomes) 2013 1(2), article 5.
    PubMedGoogle Scholar
  • 45 Birkhead GS, Klompas M, Shah NR. Uses of electronic health records for public health surveillance to advance public health. Annu Rev Public Health 2015; 36 (15) 1-15 15.
    PubMedGoogle Scholar
  • 46 Kuehn BM. Report: States May Be Unprepared to Manage Infectious Disease Threats. JAMA 2014; 311 (04) 348.
    PubMedGoogle Scholar
  • 47 Klompas M, McVetta J, Lazarus R, Eggleston E, Haney G, Kruskal BA. et al. Integrating clinical practice and public health surveillance using electronic medical record systems. Am J Public Health 2012; 102 (Suppl. 03) 325-32.
    CrossrefPubMedGoogle Scholar
  • 48 Kukafka R, Ancker JS, Chan C, Chelico J, Khan S, Mortoti S. et al. Redesigning electronic health record systems to support public health. J Biomed Inf 2007; 40 (04) 398-409.
    CrossrefPubMedGoogle Scholar
  • 49 Hanauer DA, Zheng K, Mei Q, Choi SW. Full-text search in electronic health records: Challenges and opportunities. Internet Policies 2009; 7: 745-8.
    PubMedGoogle Scholar
  • 50 Kushniruk AW, Patel VL. Cognitive and usability engineering methods for the evaluation of clinical information systems. J Biomed Inform 2004; 37 (01) 56-76.
    CrossrefPubMedGoogle Scholar
  • 51 Borycki EM, Kushniruk A, Keay E, Nicoll J, Anderson J, Anderson M. Toward an integrated simulation approach for predicting and preventing technology-induced errors in healthcare: implications for healthcare decision-makers. Healthc Q 2009; 12 Spec No Patient: 90-6.
    PubMedGoogle Scholar
  • 52 Thomas EJ, Petersen LA. Measuring errors and adverse events in health care. J Gen Intern Med 2003; 18 (01) 61-7.
    CrossrefPubMedGoogle Scholar
  • 53 Cohen MR. Why error reporting systems should be voluntary. BMJ 2000; 320 7237 728-9.
    CrossrefPubMedGoogle Scholar
  • 54 Gong Y. Data consistency in a voluntary medical incident reporting system. J Med Syst 2011; 35 (04) 609-15.
    CrossrefPubMedGoogle Scholar
  • 55 Leape LL. Reporting of medical errors: time for a reality check. Qual Health Care 2000; Sep 9 (03) 144-5.
    CrossrefPubMedGoogle Scholar
  • 56 Tighe CM, Woloshynowych M, Brown R, Wears B, Vincent C. Incident reporting in one UK accident and emergency department. Accident and Emergency Nursing 2006; 14 (01) 27-37.
    CrossrefPubMedGoogle Scholar
  • 57 Barach P, Small SD. Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems. BMJ 2000; 320 7237 759-63.
    CrossrefPubMedGoogle Scholar
  • 58 Sittig DF, Kahol K, Singh H. Sociotechnical evaluation of the safety and effectiveness of point-of-care mobile computing devices: A case study conducted in India. Stud Health Technol Inform 2013; 192: 515-9.
    PubMedGoogle Scholar
  • 59 Morrison C, Iosif A, Danka M. Report on existing open-source electronic medical records. Technical Report. Cambridge: United Kingdom; 2010
    Google Scholar
  • 60 Buhler S, Roddy P, Nolte E, Borchert M. Clinical documentation and data transfer from Ebola and Marburg virus disease wards in outbreak settings: Health care workers’ experiences and preferences. Viruses 2014; 6: 927-37.
    CrossrefPubMedGoogle Scholar