IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v9y2012i8p2949-2963d19509.html
   My bibliography  Save this article

Use of After Action Reports (AARs) to Promote Organizational and Systems Learning in Emergency Preparedness

Author

Listed:
  • Elena Savoia

    (Department of Biostatistics and Division of Policy Translation and Leadership Development, Harvard School of Public Health, 401 Park Drive, Landmark Center, 3rd Floor East, Boston, MA 02215, USA
    Division of Policy Translation and Leadership Development, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA)

  • Foluso Agboola

    (Division of Policy Translation and Leadership Development, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA)

  • Paul D. Biddinger

    (Division of Policy Translation and Leadership Development, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
    Department of Health Policy and Management, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
    Department of Emergency Medicine, Massachusetts General Hospital, Zero Emerson Place, Suite 340, Boston, MA 02114, USA)

Abstract

Many public health and healthcare organizations use formal knowledge management practices to identify and disseminate the experiences gained over time. The “lessons-learned” approach is one such example of knowledge management practice applied to the wider concept of organizational learning. In the field of emergency preparedness, the lessons-learned approach stands on the assumption that learning from experience improves practice and minimizes avoidable deaths and negative economic and social consequences of disasters. In this project, we performed a structured review of AARs to analyze how lessons learned from the response to real-incidents may be used to maximize knowledge management and quality improvement practices such as the design of public health emergency preparedness (PHEP) exercises. We chose as a source of data the “Lessons Learned Information Sharing (LLIS.gov)” system, a joined program of the U.S. Department of Homeland Security DHS and FEMA that serves as the national, online repository of lessons learned, best practices, and innovative ideas. We identified recurring challenges reported by various states and local public health agencies in the response to different types of incidents. We also strived to identify the limitations of systematic learning that can be achieved due to existing weaknesses in the way AARs are developed.

Suggested Citation

  • Elena Savoia & Foluso Agboola & Paul D. Biddinger, 2012. "Use of After Action Reports (AARs) to Promote Organizational and Systems Learning in Emergency Preparedness," IJERPH, MDPI, vol. 9(8), pages 1-15, August.
  • Handle: RePEc:gam:jijerp:v:9:y:2012:i:8:p:2949-2963:d:19509
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/9/8/2949/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/9/8/2949/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yates, Dave & Paquette, Scott, 2011. "Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake," International Journal of Information Management, Elsevier, vol. 31(1), pages 6-13.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elena Savoia & Foluso Agboola & Paul D. Biddinger, 2014. "A Conceptual Framework to Measure Systems’ Performance during Emergency Preparedness Exercises," IJERPH, MDPI, vol. 11(9), pages 1-11, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Ashraf Fauzi, 2023. "Social media in disaster management: review of the literature and future trends through bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 953-975, September.
    2. Ni, Zi-jian & Rong, Lili & Wang, Ning & Cao, Shuo, 2019. "Knowledge model for emergency response based on contingency planning system of China," International Journal of Information Management, Elsevier, vol. 46(C), pages 10-22.
    3. Zhao, Dingtao & Wang, Feng & Wei, Jiuchang & Liang, Liang, 2013. "Public reaction to information release for crisis discourse by organization: Integration of online comments," International Journal of Information Management, Elsevier, vol. 33(3), pages 485-495.
    4. S M Nadim Sultan & Keshav Lall Maharjan, 2022. "Cyclone-Induced Disaster Loss Reduction by Social Media: A Case Study on Cyclone Amphan in Koyra Upazila, Khulna District, Bangladesh," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    5. Kim, Jooho & Hastak, Makarand, 2018. "Social network analysis: Characteristics of online social networks after a disaster," International Journal of Information Management, Elsevier, vol. 38(1), pages 86-96.
    6. Siqing Shan & Tenglong Xin & Li Wang & You Li & Ling Li, 2013. "Identifying Influential Factors of Knowledge Sharing in Emergency Events: A Virtual Community Perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 367-382, May.
    7. Pogrebnyakov, Nicolai & Maldonado, Edgar, 2018. "Didn’t roger that: Social media message complexity and situational awareness of emergency responders," International Journal of Information Management, Elsevier, vol. 40(C), pages 166-174.
    8. Ghezzi, Antonio & Gastaldi, Luca & Lettieri, Emanuele & Martini, Antonella & Corso, Mariano, 2016. "A role for startups in unleashing the disruptive power of social media," International Journal of Information Management, Elsevier, vol. 36(6), pages 1152-1159.
    9. Sarah Gardiner & Jinyan Chen & Margarida Abreu Novais & Karine Dupré & J. Guy Castley, 2023. "Analyzing and Leveraging Social Media Disaster Communication of Natural Hazards: Community Sentiment and Messaging Regarding the Australian 2019/20 Bushfires," Societies, MDPI, vol. 13(6), pages 1-20, May.
    10. Deepthi Kolady & Amrit Dumre & Weiwei Zhang & Kaiqun Fu & Marcia O'Leary & Laura Rose, 2023. "Social media use among American Indians in South Dakota: Preferences and perceptions," Papers 2307.01404, arXiv.org.
    11. Feng Wu & Wanqiang Xu & Chaoran Lin & Yanwei Zhang, 2022. "Knowledge Trajectories on Public Crisis Management Research from Massive Literature Text Using Topic-Clustered Evolution Extraction," Mathematics, MDPI, vol. 10(12), pages 1-18, June.
    12. Wenwen Zhang & Camille Barchers & Janille Smith-Colin, 2023. "Transit communication via Twitter during the COVID-19 pandemic," Environment and Planning B, , vol. 50(5), pages 1244-1261, June.
    13. Pacauskas, Darius & Rajala, Risto & Westerlund, Mika & Mäntymäki, Matti, 2018. "Harnessing user innovation for social media marketing: Case study of a crowdsourced hamburger," International Journal of Information Management, Elsevier, vol. 43(C), pages 319-327.
    14. John B. Coles & Jing Zhang & Jun Zhuang, 2022. "Bridging the research-practice gap in disaster relief: using the IFRC Code of Conduct to develop an aid model," Annals of Operations Research, Springer, vol. 312(2), pages 1337-1357, May.
    15. Mele, Emanuele & Filieri, Raffaele & De Carlo, Manuela, 2023. "Pictures of a crisis. Destination marketing organizations’ Instagram communication before and during a global health crisis," Journal of Business Research, Elsevier, vol. 163(C).
    16. Shasha Li & Xinyu Peng & Ruiqiu Pang & Li Li & Zixuan Song & Hongying Ye, 2021. "Information Preference and Information Supply Efficiency Evaluation before, during, and after an Earthquake: Evidence from Songyuan, China," IJERPH, MDPI, vol. 18(24), pages 1-28, December.
    17. Mahnoosh Hassankhani & Mehdi Alidadi & Ayyoob Sharifi & Abolghasem Azhdari, 2021. "Smart City and Crisis Management: Lessons for the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    18. Simon, Tomer & Goldberg, Avishay & Adini, Bruria, 2015. "Socializing in emergencies—A review of the use of social media in emergency situations," International Journal of Information Management, Elsevier, vol. 35(5), pages 609-619.
    19. Ragini, J. Rexiline & Anand, P.M. Rubesh & Bhaskar, Vidhyacharan, 2018. "Big data analytics for disaster response and recovery through sentiment analysis," International Journal of Information Management, Elsevier, vol. 42(C), pages 13-24.
    20. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:9:y:2012:i:8:p:2949-2963:d:19509. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.