Aim of Website: 

The aim of this website is to share real-time update information over the Emergency Medical Team Minimum Data Set (MDS). Official information should be confirmed at the WHO EMT initiative website. 

Forms:

The WHO EMT MDS ver1.0

1. MDS tick-box  (Example)

2. Tally Sheet

3. Daily Report

4. Feedback

Definitions

*Daily Report (3.) is published as an official form. Other forms (1. 2. 4.) is published as referential forms to support MDS data flow within EMT and EMTCC. 

Protocol :

1. EMT MDS eDATA format for Daily Reporting 

＊For IT developers, please be noticed that the EMT MDS would be published with minor modification according to the revised blue book.

*Updated on 14th/Nov/2019

EMT MDS Tool Collections

Here are the free tools to enable EMT CSV data reporting and EMTCC swift feedback. 

The EMT MDS is an open platform for every EMT/IT expert to develop there own apps. Please join, make this platform rich, and improve the EMT information management together toward the next "big one". 

Tools for EMT - The MDS Maker

1. MDS Maker (Excel runs on Windows PC - not on Mac OS) 

2. MDS Maker (iPhone app runs on FileMakerGo 18 - not on Android) 

Tools for EMTCC - The MDS Feedback Maker

1. MDS Feedback Maker (Excel program run on Widows PC - Not on Mac OS) 

How to get the app on your iPhone

Instruction

1. Go to the App Store, get and install the FileMakerGo18 ( run only on FileMakerGo ver.18).

2. Get the MDS Maker app file directly from this link.

3. ”Export” the MDS app file to the FileMakerGo18 on your iPhone.

How to use the MDS Maker 

1. Input Date and Team information

2. Input Patient data

3. Input Needs and Risks comments

4. Send MDS data to EMTCC by Email 

Training:

Forms, Instruction and Tools  can be downloaded as tool kit.

1. Forms (PDF)

2. Protocol (EMT MDS eDATA format ) 

3. Tool for EMT  (Windows Excel) _MDS Maker

4. Tool for EMT  (iPhone) _MDS Maker 

5. Tool for EMTCC (Excel) _MDS Feedback Maker 

6. Tool for EMTCC (Excel) _MDS-FeedbackMaker(WeeklyReport)

7. Instruction (PowerPoint）

8. Exon Guide (PowerPoint）

9. Model Patients list (available soon)

Download Tool Kit

Adacemic Publications

1. Yumiya, Y., Chimed-Ochir, O., Kayano, R., Hitomi, Y., Akahoshi, K., Kondo, H., Wakai, A., Mimura, S., Chishima, K., Toyokuni, Y., Koido, Y., & Kubo, T. (2023). Emergency Medical Team Response during the Hokkaido Eastern Iburi Earthquake 2018: J-SPEED Data Analysis. Prehospital and disaster medicine, 38(3), 332–337. https://doi.org/10.1017/S1049023X23000432 

2. Yumiya, Y., Chimed-Ochir, O., Taji, A., Kishita, E., Akahoshi, K., Kondo, H., Wakai, A., Chishima, K., Toyokuni, Y., Koido, Y., Tachikawa, H., Takahashi, S., Gomei, S., Kawashima, Y., & Kubo, T. (2022). Prevalence of Mental Health Problems among Patients Treated by Emergency Medical Teams: Findings from J-SPEED Data Regarding the West Japan Heavy Rain 2018. International journal of environmental research and public health, 19(18), 11454. https://doi.org/10.3390/ijerph191811454

3. Kubo, T., Chimed-Ochir, O., Cossa, M., Ussene, I., Toyokuni, Y., Yumiya, Y., Kayano, R., & Salio, F. (2022). First Activation of the WHO Emergency Medical Team Minimum Data Set in the 2019 Response to Tropical Cyclone Idai in Mozambique. Prehospital and disaster medicine, 37(6), 727–734. https://doi.org/10.1017/S1049023X22001406

4. Yanasan, A., Pongpamon, N., Pattanarattanamole, R., Rojsaengroeng, R., Natsukawa, T., Katsube, T., Kubo, T., Toyokuni, Y., & Ikeda, S. (2022). ARCH Project and the Global Initiatives of Disaster Health Management. Prehospital and disaster medicine, 37(S1), s11–s15. https://doi.org/10.1017/S1049023X22000048

5. Kubo T, Yanasan A, Herbosa T, Buddh N, Fernando F, Kayano R. Health Data Collection Before, During and After Emergencies and Disasters—The Result of the Kobe Expert Meeting. International Journal of Environmental Research and Public Health. 2019; 16(5):893. https://doi.org/10.3390/ijerph16050893

6.  Chimed-Ochir, O., Yumiya, Y., Taji, A., Kishita, E., Kondo, H., Wakai, A., . . . Kubo, T. (2022). Emergency Medical Teams’ Responses during the West Japan Heavy Rain 2018: J-SPEED Data Analysis. Prehospital and Disaster Medicine, 1-7.

7. Sugimura M, et al. Incidence of Acute Respiratory Infections during Disasters in the Absence and Presence of COVID-19 Pandemic. Prehosp Disaster Med. 2022;37(1):142-144.

8. Kubo T, et al. Health Data Collection Before, During and After Emergencies and Disasters-The Result of the Kobe Expert Meeting. Int J Environ Res Public Health. 2019 Mar 12;16(5):893.

9. Kubo T., Salio F., Koido Y. (2020) Breakthrough on Health Data Collection in Disasters—Knowledge Arises in Asia Spread to the World. In: Chan E., Shaw R. (eds) Public Health and Disasters. Disaster Risk Reduction (Methods, Approaches and Practices). Springer, Singapore. https://doi.org/10.1007/978-981-15-0924-7_19

10. Yamashita K, Natsukawa T, Kubo T, Kondo H, Koido Y. Vulnerability of Pregnant Women After a Disaster: Experiences After the Kumamoto Earthquake in Japan. Prehospital and Disaster Medicine. 2019;34(5):569-571.

11. Kubo, T, et al. (2019). Experience of Activation of the J-SPEED(MDS) in Japan. Prehospital and Disaster Medicine, 34(S1), S130-S131.

12. Kubo, T., Kondo, H., & Koido, Y. (2017). The J-SPEED: A Medical Relief Activities Reporting System for Emergency Medical Teams in Japan. Prehospital and Disaster Medicine, 32(S1), S228-S228.

Feedback:

Your valuable comments to the MDS project would be very appreciated. 

Contact information

support@mdsgateway.net