SlideShare a Scribd company logo
1 of 31
Download to read offline
Mobile  Diagnosis
Connecting  healthworkers  worldwide  for  better  diagnosis
Everywhere in the world,
      it takes only one MMS to receive an accurate diagnosis




Overview

Limited training and geographi-     Mobile Diagnosis provide an
cal isolation of laboratory tech-   easy way to get accurate dia-
nicians (and health workers in      gnosis using only existing and
general) in remote, underserved     widespread platforms (MMS)
areas severely affects quality of   and low cost devices (mobile
diagnosis, hence of control and     phone). Furthermore this system
therapy of many diseases. In        can be used by everyone even
                                -   without a medical instructions.
mation relies on slow, unafforda-
ble, unpractical or inappropriate
technologies.
                                                                      2
The Idea
                                                                           Place the lens of your integra-
                                                                           ted mobile-phone camera on the
                                                                           ocular of the microscope and
                                                                           take the picture. Then, send it via
                                                                           MMS for a consult.


MobileDiagnosis was founded           sole purpose to protect the idea
by Livia Bellina, an italian patho-   from commercialization and con-
logist who worked for the NHS in      sent its free use and dissemina-
Lampedusa island. In April 2008,      tion (EPO application number
she found herself in the urgent       09005054.3 2002 - 2008 April)
                                      but only in 2009 MobileDiagno-
malaria from a blood sample of        sis aquired real life and a global
an African immigrant. With no         relevance.
other means at hand, she took         The meeting         with Eduardo
                                      Missoni has been determinant;
using the camera incorporated         Eduardo in fact understood im-
in mobile-phone, without addi-        mediately the relevance of the
tional devices, and sent it via       method, and the two scientists
MMS for tele-diagnostic purpo-        together, just after two months
ses to a reference center. The        after their meeting published the
                                      method on a open source scien-
for patent in April 2008, with the
                                                                                                            3
How it works

                                  Peripheral healthcenter sends a
                                  “critical” diagnostic image taken
                                        with cell phone by MMS


                                                                      Main refernce center/laborato-
                                                                      ry receives the image and im-
         MMS with image.
                                                                      mediately sends an alert SMS
                                                                        to on call doctor to consult.




The images are also stored in a
web platform, to be visualized
                                                                      Local refernce doctor make
from national and international
                                                                      supporting diagnosis and sen-
consultant and also are used to
                                                                           ds answer by SMS.
  create a diagnostic database.



                                  Diagnosis returns to peripheral
                                        laboratory by SMS.
                                                                                                   4
A diagnostic help, consulen-
            Improve needy people                        ce, second opinion is the main
            and rural communties health.                way to give a correct diagno-
                                                        sis.
                                                        In the same way, students can
Decrease of mortality
                                                        easily examinate specimen,
                                                        and discuss about diagnosis
                                                        simply taking a picture of the
                                                                                     -
Chance to follow deseases’
                                                        This method, affordable, easy
spreading and to give aimed help.                       and not related to internet net-
                                                        work, can easily reach all tar-
                                                        get in all settings, health posts,
      Higher accessibility                              health centers, etc.
      of m-phone over internet.                         Rural community students can
                                                        learn the method easily and
                                                        don’t need a long training.
             Chance for local people
             to help their communities.


                    Decrease
                    of medical costs.


                                  Better
                                  diseases prevention
                                                                                        5
Afghanistan                Here are all the areas where
                                                      Mobile Diagnosis worked and
                                         Bangladesh   will work to improve healthca-
                  Uganda                              re in rural communities all
                                                      around the world.




                                                      Past Projects
                                                         Uganda (Gulu)
                                                         Bangladesh (Comilla)
                                                         Bangladesh (Dinajpur)
                                                         Afghanistan (Herat)
                                         Bangladesh
                                                      Future Projects
                                                         Bangladesh
                                                         Madagascar
                             Madagascar
Past Projects

Future Projects
                                                      MD Projects
Past Projects
                                 In Gulu,Uganda, September-No-
                                 vember 2009,livia has been in
                                 Lacor Hospital, after invitation of
                                 Corti Foundation. Here she tau-
                                 ght to students of second year
                                 of school for labtechnicians and
                                 she built the teaching room for
                                 pratical laboratory and introdu-
                                 ced the students to microscopy.             Rural Village


                                 time using the mobile as educa-
                                 tive tool: all students learned ea-
                                 sily and quickly MobileDiagnosis
   Year    2009                  was born.
Country    Uganda
  Cities   Gulu
           Saint Mary Hospital
                                                                       Saint Mary Hospital




                                                                       Children community

                                                                                             7
Past Projects
                                 MobileDiagnosis        partenered
                                 with Nobel Professor Moham-
                                 mad Yunus, and help in intro-
                                 ducing the “mobilediagnosis”
                                 method in rural communities in
                                 Bangladesh.
                                     In rural centers of Grameen
                                     Kalyan in Bhuapur, Tangail
                                                                        Students taking pictures
                                     16 lab technicians learned
                                     lowcost telepathology and
                                     basic telemedicine using only
   Year    2010                      local minimal equipment and
Country    Bangladesh                available personal cellpho-
  Cities   Dhaka                     nes. In Comilla district, 6
                                     medical doctors were trained
           Bhuapur                   about logic clinic, differential
           Comilla health center     diagnosis, primary health
                                                                          Comilla Health Center
                                     care and transmission of ul-
                                     trasound images with the
                                     mobile-phone.
                                     Later the diagnostic images
                                     from peripheral health cen-
                                     ters were sent to Dhaka

                                      a distant diagnosis from a far
                                      location.                          Students of community

                                                                                                   8
Past Projects
                                 In Dinajpur, MobileDiagnosis
                                 worked with healthworkers and
                                 student of Saint Vincent Mis-
                                 sionary Hospital of PIME (Pope
                                 Institute of Foreign Missio-
                                 nary Organizations).

                                 Diagnosis method has been tea-
                                                                              Local People
                                 25 years old) from the local rural
                                 aborigenal community who had
                                 no previous experience in me-
                                                                  -
   Year    2010                  ce proved that the method can
Country    Bangladesh            be learned by anyone in a very
  Cities   Dinajpur              short time regardless external
           St.Vincent Hospital   factores like scholarization or
                                 age and that everyone can do         Saint Vincent Hospital
                                 something for thier community.




                                                                       Graduated Students

                                                                                               9
Past Projects
                                MobileDiagnosis worked with
                                local lab technicians in a MAE
                                (Italian   Cooperation     Deve-
                                lopment) project in the Medi-
                                cal Laboratory of Childrness,
                                Governative Hospital of Herat.
                                Five lab technicians of Pedia-
                                tric Hospital has been introdu-
                                ced to microscopy and to the         Herat Governative Hospital
                                use of mobile as educational
                                tool. They learned also to take
                                and transmit images taken
   Year    2011                 from microscope by mobile.
Country    Afghanistan          In Pediatric Hospital of Herat the
  Cities   Herat                method proved its potential as
           Governative Hospi-   tool for bridging socio cultural
           tal of Herat         gap and permit Care and Edu-
                                cation to Afghanistan Woman, in           Class with Dr. Bellina
                                a context, were women access
                                to a male dominated health sy-
                                stem is restrained ; two women
                                with no education or lab expe-
                                rience learned in a few minutes,
                                driven by the curiosity caused
                                by seeing Dr. Bellina working,
                                to take pictures from a micro-
                                scope with a mobile phone.                        Herat People

                                                                                               10
Future Projects
                                   Mobile Diagnosis in partner-
                                   ship with Smiling Rainbow
                                   Foundation aims to improve life
                                   and health condition of 34 ru-
                                   ral communities in south-west
                                   of Bangladesh. The project will
                                   be developed in three phases:
                                       Selection of 68 people,
                                       two from every rural areas,
                                       who will take the courses.
                                       Building of “teaching room” as
   Year    2012                        teaching and working place.
Country    Bangladesh
  Cities   34 rural communi-           Training in 10-12 people
                                       classes who will recive for-
           ties in south-west of       mation in basic hygiene, ba-
           Bangladesh
                                                                                 Local People
                                      patologies which occur most
                                      frequently in this territory.




                                                                        Theacher and Students

                                                                                            11
Future Projects
                           The project will take place on
                           south west of Madagascar in
                           Tulear Region in partnership
                           with the Association “Amici di
                           Ampasilava” that built the Anda-
                           vadoaka Hospital with personal
                           expenses and great committ-
                           ment.
                           MobileDiagnosis will support the    Local People
                           staff of Andavadoaka Hospital
                           and there will train selected pe-
                           ople from all villages from which
                           come patients.
   Year    2012
Country    Madagascar
  Cities   Tulear Region
                                                               Rural House




                                                                Local Child

                                                                          12
One the greatest advantages
                                                                  of Mobile Diagnosis is its ver-
                                                                  satility, here are some exam-
                                                                  ples.




                     Connecting
                                  he
               sis                  alt
             no
       iag




                                      wo
     eD




                                        rke
                                           rs wo
Mobil




                                                rldwide f
                                                         or
                                                            be
                         te
                                                              t

                           rd
                             iag
                                nosis                                Oral Cavity
                                                                     Tympanus
                                                                     Ortopaedics
                                                                     Dermatology
                                                                     Radiology
                                                                     Evidence Based
                                                                     Microscopy

                                                                  Applications
Applications
                   Oral cavity
                                 Simply taking an image of the oral
                                 cavity with your m-phone allows you
                                 to analyze and diagnosticate several




               1    2




                                   1 Tongue lesions   2 Aphtous
                                     Avitaminosis


                                   3 Tongue lesions   4 Tongue congenital
                                     Avitaminosis       Hemangioma
               3    4
                                                                       14
Applications
                   Tympanus
                              Mobile Diagnosis method allows to
                              take pictures with the otoscope and
                                                                -
                              panus area allowing to detect and
                              treat various illness of the ear.




               1   2




                                1 Tympanus      2 Tympanus



                                3 Tympanus      4 Tympanus


               3   4
                                                              15
Applications
                   Orthopaedics - Lordosis
                                             Taking an image of the patient and
                                             sending it for a distant consult allows
                                             healthworker to be sure of the tre-




               1                 2




                                                1 Lordosis - front   2 Lordosis - rear
                                                  view                 view


                                                3 Lordosis - right   4 Lordosis - front
                                                  view                 view
               3                 4
                                                                                          16
Applications
                   Dermatology
                                 Taking an image of involved tissues
                                 and sending it for a distant consult
                                 allows healthworker to be sure of the




               1     2




                                   1 Allergic reaction 2 Fungine lesions
                                     to drugs (Mala-     and bacteric
                                     rone)               infection

                                   3 fungine skin     4 Nevo
                                     lesions
               3     4
                                                                           17
Applications
                   Radiological Examination
                                              Taking an image of the x-ray scan
                                              and sending it for a distant consult
                                              allows healthworker to be sure of the




               1                  2




                                                1 Cranium x-ray    2 Feet x-ray scan
                                                  scan


                                                3 Ankle x-ray scan 4 Ankle x-ray scan


               3                  4
                                                                                        18
Applications
                   Ultrsound Scan
                                    Taking an image of the ultrasound
                                    scan and sending it for a distant
                                    consult allows healthworkers to de-
                                    tect malformation or disfuction of the
                                    phoetus and to choose appropriate
                                    treatment.




               1        2




                                      1 Phoetus Scan    2 Phoetus Scan



                                      3 Ultrasound scan 4 Ultrasound scan


               3        4
                                                                            19
Applications
                   Evidence Based
                                    Taking an image of the area invol-
                                    ved and sending it for a distant con-
                                    sult allows healthworkers to be sure
                                    of the illness of the patient and of the
                                    treatment needed.




               1        2




                                       1 Oedema in         2 Skin lesion pa-
                                         Children with glo- rasyte microlar-
                                         merulonephritis     vae

                                       3 skin fungine     4 Skin lesion pa-
                                         lesions            rasyte microlar-
                                                            vae
               3        4
                                                                               20
Applications
               Microscopy




                            Microscopy

                              Hematology
                              Mycobacteria
                              Parasites
                              Trypanosomes
                              Malaria
                              Fluorescence
                              Histology
                              Urin Analysis
                              Pap Test
                                              21
Applications
                   Hematology
                                Several deseases of the blood cells
                                can be detected taking a picture of

                                enlarging it.




               1     2




                                   1 Hematological    2 WBC maturative
                                     alterations in     phase
                                     thalassemia

                                   3 Immature RBC     4 Immature WBC


               3     4
                                                                       22
Applications
                   Mycobacteria
                                  Mycobacteria like the responsible for
                                  TB and leprosis can be detected in
                                  a blood stained slide with the use of
                                  a microscope.




               1      2




                                    1 Tuberculosis   2 Tuberculosis



                                    3 Leprosis       4 Leprosis


               3      4
                                                                      23
Applications
                   Parasites
                               In the rural areas where drinkable
                                                                  -
                               sites infections are one of the most
                               common diseases. MobileDiagnosis
                               helps to solve this problem.




               1   2




                                 1 Ascaris Lumbri-   2 Trichiuris
                                   coides


                                 3 Strongiloides     4 Fasciola Hepatica
                                   Sterco Larvae
               3   4
                                                                       24
Applications
                   Trypanosomes
                                  Trypanosomes’ infection is detecta-
                                  ble in blood stained slide; enlarging

                                  for healthworkers.




               1       2




                                    1 Trypanosome      2 Trypanosome
                                      Brucei             Brucei


                                    3 Trypanosome      4 Trypanosome
                                      Gambiense          Crusi
               3       4
                                                                       25
Applications
                       Malaria
                                 In the rural areas where malaria is
                                 present MobileDiagnosis is an im-
                                                                    -
                                 sitivity even if done as negative by
                                 simply enlarging the image.




               1   2




                                   1 Malaria Game-   2 Malaria infected
                                     tocytes           red cells


                                   3 Malaria         4 Trohpozoites


               3   4
                                                                          26
Applications
                   Fluorescence
                                                                      -
                                  gnosis allows to take pictures of the
                                                                      -
                                  dition.




               1      2




                                    1 Fluorescence   2 Fluorescence
                                      example.         example.


                                    3 Fluorescence   4 Fluorescence
                                      example.         example.
               3      4
                                                                      27
Applications
                   Histology
                               The study of tissues is easier if you

                               detect anomalies. MobileDiagnosis
                               allows also healthworkers who are
                               not sure of the diagnosis to ask for a
                               second opinion.




               1   2




                                 1 Histological exam. 2 Histological exam.



                                 3 Kidney Glomerule 4 Prostatic Ipertro-
                                   with sclerosis     phy adenoma
               3   4
                                                                           28
Applications
                   Urin Analisys
                                   There are several pathologies that
                                   can be detected via urin analisys.
                                   The analisys of the pictures can re-
                                   veal even the less obvious patolo-
                                   gies.




               1      2




                                     1 Uric Acid Cristals 2 Spermatozoas



                                     3 Urinary tract    4 Calcium Oxalate
                                       infection          cristals
                                       leukocytosis
               3      4
                                                                            29
Applications
                   Pap Test
                              MobileDiagnosis can help women
                              cancer diagnostics enabling easier
                              diagnosis even for the lesser skilled
                              hearthworkers.




               1




                                1 Pap Test Urinary
                                  epitelial cells


                                2 Pap Test


               2
                                                                30
Mobile Diagnosis Creative Team
info@mobilediagnosis.net

mdcreativeteam@gmail.com
Giovanni Azzolina
Roberto Ingrassia
Domenico Scarpinato

More Related Content

Viewers also liked

PP: God Bless America - Kate Smith
PP: God Bless America - Kate SmithPP: God Bless America - Kate Smith
PP: God Bless America - Kate SmithRbhnow
 
Renaissance man tweet meet leuven
Renaissance man tweet meet leuvenRenaissance man tweet meet leuven
Renaissance man tweet meet leuvenPascal Cools
 
Minicurso: Python em 4 horas - FATEC SCS 2015
Minicurso: Python em 4 horas - FATEC SCS 2015 Minicurso: Python em 4 horas - FATEC SCS 2015
Minicurso: Python em 4 horas - FATEC SCS 2015 Alan Justino da Silva
 
M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492Baroness Thompson
 
M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492Baroness Thompson
 
Associated Partners - Business Profile
Associated Partners - Business ProfileAssociated Partners - Business Profile
Associated Partners - Business ProfileDhananjay Walke
 
ICFR2013-Preliminary Detailed Programme
ICFR2013-Preliminary Detailed ProgrammeICFR2013-Preliminary Detailed Programme
ICFR2013-Preliminary Detailed ProgrammeAlbert Chen
 
η πολη μου τα τρικαλα
η πολη μου τα τρικαλαη πολη μου τα τρικαλα
η πολη μου τα τρικαλαekokkoti
 
Structure of Communication and Narrative Construction of Social Movements wit...
Structure of Communication and Narrative Construction of Social Movements wit...Structure of Communication and Narrative Construction of Social Movements wit...
Structure of Communication and Narrative Construction of Social Movements wit...Mario Orefice, University of Urbino
 
company introduction
company introductioncompany introduction
company introductionMoseKim
 
Building your first Windows Phone 7 application for SharePoint
Building your first Windows Phone 7 application for SharePointBuilding your first Windows Phone 7 application for SharePoint
Building your first Windows Phone 7 application for SharePointJoris Poelmans
 
Narracion ficticia
Narracion ficticiaNarracion ficticia
Narracion ficticiadhamaratenas
 
Rockscapes Slide Show
Rockscapes Slide ShowRockscapes Slide Show
Rockscapes Slide ShowPadraicMangan
 

Viewers also liked (20)

PP: God Bless America - Kate Smith
PP: God Bless America - Kate SmithPP: God Bless America - Kate Smith
PP: God Bless America - Kate Smith
 
Renaissance man tweet meet leuven
Renaissance man tweet meet leuvenRenaissance man tweet meet leuven
Renaissance man tweet meet leuven
 
Minicurso: Python em 4 horas - FATEC SCS 2015
Minicurso: Python em 4 horas - FATEC SCS 2015 Minicurso: Python em 4 horas - FATEC SCS 2015
Minicurso: Python em 4 horas - FATEC SCS 2015
 
MobileDiagnosis:an appropriate technology
MobileDiagnosis:an appropriate technologyMobileDiagnosis:an appropriate technology
MobileDiagnosis:an appropriate technology
 
M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492
 
M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492M6 A2 Baroness Thompson Psy492
M6 A2 Baroness Thompson Psy492
 
Coe rapporto novembre 2014
Coe rapporto novembre 2014Coe rapporto novembre 2014
Coe rapporto novembre 2014
 
Associated Partners - Business Profile
Associated Partners - Business ProfileAssociated Partners - Business Profile
Associated Partners - Business Profile
 
ICFR2013-Preliminary Detailed Programme
ICFR2013-Preliminary Detailed ProgrammeICFR2013-Preliminary Detailed Programme
ICFR2013-Preliminary Detailed Programme
 
Testing 8
Testing 8Testing 8
Testing 8
 
η πολη μου τα τρικαλα
η πολη μου τα τρικαλαη πολη μου τα τρικαλα
η πολη μου τα τρικαλα
 
Thompson bt doc m2-a2
Thompson bt doc m2-a2Thompson bt doc m2-a2
Thompson bt doc m2-a2
 
Structure of Communication and Narrative Construction of Social Movements wit...
Structure of Communication and Narrative Construction of Social Movements wit...Structure of Communication and Narrative Construction of Social Movements wit...
Structure of Communication and Narrative Construction of Social Movements wit...
 
company introduction
company introductioncompany introduction
company introduction
 
Building your first Windows Phone 7 application for SharePoint
Building your first Windows Phone 7 application for SharePointBuilding your first Windows Phone 7 application for SharePoint
Building your first Windows Phone 7 application for SharePoint
 
Narracion ficticia
Narracion ficticiaNarracion ficticia
Narracion ficticia
 
Tshimbulu path
Tshimbulu path Tshimbulu path
Tshimbulu path
 
Mobilediagnosis impact 2014
Mobilediagnosis impact 2014 Mobilediagnosis impact 2014
Mobilediagnosis impact 2014
 
Rockscapes Slide Show
Rockscapes Slide ShowRockscapes Slide Show
Rockscapes Slide Show
 
Prediabetes
PrediabetesPrediabetes
Prediabetes
 

Similar to Connect healthworkers worldwide for accurate diagnoses

Introduction to mHealth in Tanzania
Introduction to mHealth in TanzaniaIntroduction to mHealth in Tanzania
Introduction to mHealth in TanzaniaSteve Ollis
 
Orange Healthcare - Personalised Medicine
Orange Healthcare - Personalised MedicineOrange Healthcare - Personalised Medicine
Orange Healthcare - Personalised MedicineFjord
 
Automated disease detection in crops using CNN
Automated disease detection in crops using CNNAutomated disease detection in crops using CNN
Automated disease detection in crops using CNNManojBhavihal
 
Project Masiluleke - Pop!Tech 2008
Project Masiluleke - Pop!Tech 2008Project Masiluleke - Pop!Tech 2008
Project Masiluleke - Pop!Tech 2008frog
 
Text Msgs Hlth Dev Countries Coppock M Hi091809
Text Msgs Hlth Dev Countries Coppock M Hi091809Text Msgs Hlth Dev Countries Coppock M Hi091809
Text Msgs Hlth Dev Countries Coppock M Hi091809mHealth Initiative
 
Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...
Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...
Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...Ed Dodds
 
HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...
HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...
HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...Project HealthDesign
 
Health Care Emerging WiMax (Senza Consulting)
Health Care Emerging WiMax  (Senza Consulting)Health Care Emerging WiMax  (Senza Consulting)
Health Care Emerging WiMax (Senza Consulting)Going Wimax
 
Mo mo athens mhealth_25 april 2012_reaching the patient by sophia salenius
Mo mo athens mhealth_25 april 2012_reaching the patient by sophia saleniusMo mo athens mhealth_25 april 2012_reaching the patient by sophia salenius
Mo mo athens mhealth_25 april 2012_reaching the patient by sophia saleniusMobile Monday Athens
 
Telemedicine in Clinical Research
Telemedicine in Clinical ResearchTelemedicine in Clinical Research
Telemedicine in Clinical ResearchClinosolIndia
 
Cucumber disease recognition using machine learning and transfer learning
Cucumber disease recognition using machine learning and transfer learningCucumber disease recognition using machine learning and transfer learning
Cucumber disease recognition using machine learning and transfer learningriyaniaes
 
7743-Article Text-13981-1-10-20210530 (1).pdf
7743-Article Text-13981-1-10-20210530 (1).pdf7743-Article Text-13981-1-10-20210530 (1).pdf
7743-Article Text-13981-1-10-20210530 (1).pdfNehaBhati30
 
Common Skin Disease Diagnosis and Prediction: A Review
Common Skin Disease Diagnosis and Prediction: A ReviewCommon Skin Disease Diagnosis and Prediction: A Review
Common Skin Disease Diagnosis and Prediction: A ReviewIRJET Journal
 

Similar to Connect healthworkers worldwide for accurate diagnoses (20)

Brochure Mobile Diagnosis
Brochure Mobile DiagnosisBrochure Mobile Diagnosis
Brochure Mobile Diagnosis
 
Livia bellina pdf 8 gennaio 2014
 Livia bellina pdf 8 gennaio  2014  Livia bellina pdf 8 gennaio  2014
Livia bellina pdf 8 gennaio 2014
 
Depliant md
Depliant mdDepliant md
Depliant md
 
Introduction to mHealth in Tanzania
Introduction to mHealth in TanzaniaIntroduction to mHealth in Tanzania
Introduction to mHealth in Tanzania
 
3 md updated
3 md updated3 md updated
3 md updated
 
Mobilediagnosis september 2014
Mobilediagnosis  september 2014Mobilediagnosis  september 2014
Mobilediagnosis september 2014
 
Orange Healthcare - Personalised Medicine
Orange Healthcare - Personalised MedicineOrange Healthcare - Personalised Medicine
Orange Healthcare - Personalised Medicine
 
F07013840
F07013840F07013840
F07013840
 
Automated disease detection in crops using CNN
Automated disease detection in crops using CNNAutomated disease detection in crops using CNN
Automated disease detection in crops using CNN
 
Project Masiluleke - Pop!Tech 2008
Project Masiluleke - Pop!Tech 2008Project Masiluleke - Pop!Tech 2008
Project Masiluleke - Pop!Tech 2008
 
Text Msgs Hlth Dev Countries Coppock M Hi091809
Text Msgs Hlth Dev Countries Coppock M Hi091809Text Msgs Hlth Dev Countries Coppock M Hi091809
Text Msgs Hlth Dev Countries Coppock M Hi091809
 
Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...
Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...
Géant and DECIDE - improving quality of life for sufferers from Alzheimer's D...
 
HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...
HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...
HIPAA Security Rule Compliance When Communicating with Patients Using Mobile ...
 
Health Care Emerging WiMax (Senza Consulting)
Health Care Emerging WiMax  (Senza Consulting)Health Care Emerging WiMax  (Senza Consulting)
Health Care Emerging WiMax (Senza Consulting)
 
Mo mo athens mhealth_25 april 2012_reaching the patient by sophia salenius
Mo mo athens mhealth_25 april 2012_reaching the patient by sophia saleniusMo mo athens mhealth_25 april 2012_reaching the patient by sophia salenius
Mo mo athens mhealth_25 april 2012_reaching the patient by sophia salenius
 
Telemedicine in Clinical Research
Telemedicine in Clinical ResearchTelemedicine in Clinical Research
Telemedicine in Clinical Research
 
Cucumber disease recognition using machine learning and transfer learning
Cucumber disease recognition using machine learning and transfer learningCucumber disease recognition using machine learning and transfer learning
Cucumber disease recognition using machine learning and transfer learning
 
7743-Article Text-13981-1-10-20210530 (1).pdf
7743-Article Text-13981-1-10-20210530 (1).pdf7743-Article Text-13981-1-10-20210530 (1).pdf
7743-Article Text-13981-1-10-20210530 (1).pdf
 
Tr35
Tr35Tr35
Tr35
 
Common Skin Disease Diagnosis and Prediction: A Review
Common Skin Disease Diagnosis and Prediction: A ReviewCommon Skin Disease Diagnosis and Prediction: A Review
Common Skin Disease Diagnosis and Prediction: A Review
 

More from MobileDiagnosis Non Profit Association

Relazione finale triennio 2012-2014 in DRC del direttore dell'ospedale St F...
Relazione finale triennio 2012-2014 in DRC   del direttore dell'ospedale St F...Relazione finale triennio 2012-2014 in DRC   del direttore dell'ospedale St F...
Relazione finale triennio 2012-2014 in DRC del direttore dell'ospedale St F...MobileDiagnosis Non Profit Association
 
Technical notes for C_NES Foundation and Gwahati Medical College Presentation
Technical notes for C_NES Foundation and  Gwahati  Medical College Presentation Technical notes for C_NES Foundation and  Gwahati  Medical College Presentation
Technical notes for C_NES Foundation and Gwahati Medical College Presentation MobileDiagnosis Non Profit Association
 

More from MobileDiagnosis Non Profit Association (20)

MobileDiagnosis Onlus Activities
MobileDiagnosis Onlus Activities MobileDiagnosis Onlus Activities
MobileDiagnosis Onlus Activities
 
SB Day 2017 MeToo Infos and details
SB Day   2017  MeToo Infos and details  SB Day   2017  MeToo Infos and details
SB Day 2017 MeToo Infos and details
 
Geneva WHO Third Forum on Medical Devices May 10-12
Geneva WHO  Third Forum on Medical Devices May 10-12 Geneva WHO  Third Forum on Medical Devices May 10-12
Geneva WHO Third Forum on Medical Devices May 10-12
 
Piccoli veli e braccialetti bianchi 25 nov 2016
Piccoli veli e braccialetti bianchi  25 nov 2016 Piccoli veli e braccialetti bianchi  25 nov 2016
Piccoli veli e braccialetti bianchi 25 nov 2016
 
MobileDiagnosis Onlus il tuo 5 x 1000 2016
MobileDiagnosis Onlus  il tuo 5 x 1000 2016         MobileDiagnosis Onlus  il tuo 5 x 1000 2016
MobileDiagnosis Onlus il tuo 5 x 1000 2016
 
MobileDiagnosis Onlus 5 x 1000 2016
MobileDiagnosis Onlus         5 x 1000     2016           MobileDiagnosis Onlus         5 x 1000     2016
MobileDiagnosis Onlus 5 x 1000 2016
 
Relazione finale triennio 2012-2014 in DRC del direttore dell'ospedale St F...
Relazione finale triennio 2012-2014 in DRC   del direttore dell'ospedale St F...Relazione finale triennio 2012-2014 in DRC   del direttore dell'ospedale St F...
Relazione finale triennio 2012-2014 in DRC del direttore dell'ospedale St F...
 
Coe rapporto ottobre 2014
Coe rapporto ottobre 2014 Coe rapporto ottobre 2014
Coe rapporto ottobre 2014
 
Rapporto COE Giornalino Novembre 2013
Rapporto COE Giornalino Novembre 2013 Rapporto COE Giornalino Novembre 2013
Rapporto COE Giornalino Novembre 2013
 
Rapporto ottobre congo 2013
Rapporto ottobre congo 2013 Rapporto ottobre congo 2013
Rapporto ottobre congo 2013
 
Ottobre novembre 2012
Ottobre novembre 2012Ottobre novembre 2012
Ottobre novembre 2012
 
Giornalino COE Settembre 2012
Giornalino COE  Settembre 2012Giornalino COE  Settembre 2012
Giornalino COE Settembre 2012
 
Mee too how it works
Mee too how it works  Mee too how it works
Mee too how it works
 
Technical notes for C_NES Foundation and Gwahati Medical College Presentation
Technical notes for C_NES Foundation and  Gwahati  Medical College Presentation Technical notes for C_NES Foundation and  Gwahati  Medical College Presentation
Technical notes for C_NES Foundation and Gwahati Medical College Presentation
 
Livia's journey india and nepal
Livia's journey   india and nepalLivia's journey   india and nepal
Livia's journey india and nepal
 
Livia bellina atlanta global summit 2015
Livia bellina atlanta global summit 2015Livia bellina atlanta global summit 2015
Livia bellina atlanta global summit 2015
 
Global summit full agenda 1 (1)
Global summit full agenda 1 (1)Global summit full agenda 1 (1)
Global summit full agenda 1 (1)
 
Mobile diagnosis 2015 5 x 1000 28 aprile
 Mobile diagnosis 2015 5 x 1000  28 aprile Mobile diagnosis 2015 5 x 1000  28 aprile
Mobile diagnosis 2015 5 x 1000 28 aprile
 
Mobile diagnosis 2015 5 x 1000 x ppt
Mobile diagnosis 2015  5 x 1000 x ppt Mobile diagnosis 2015  5 x 1000 x ppt
Mobile diagnosis 2015 5 x 1000 x ppt
 
Brochure parassitosi mobilediagnosis ita
Brochure parassitosi mobilediagnosis ita Brochure parassitosi mobilediagnosis ita
Brochure parassitosi mobilediagnosis ita
 

Connect healthworkers worldwide for accurate diagnoses

  • 1. Mobile  Diagnosis Connecting  healthworkers  worldwide  for  better  diagnosis
  • 2. Everywhere in the world, it takes only one MMS to receive an accurate diagnosis Overview Limited training and geographi- Mobile Diagnosis provide an cal isolation of laboratory tech- easy way to get accurate dia- nicians (and health workers in gnosis using only existing and general) in remote, underserved widespread platforms (MMS) areas severely affects quality of and low cost devices (mobile diagnosis, hence of control and phone). Furthermore this system therapy of many diseases. In can be used by everyone even - without a medical instructions. mation relies on slow, unafforda- ble, unpractical or inappropriate technologies. 2
  • 3. The Idea Place the lens of your integra- ted mobile-phone camera on the ocular of the microscope and take the picture. Then, send it via MMS for a consult. MobileDiagnosis was founded sole purpose to protect the idea by Livia Bellina, an italian patho- from commercialization and con- logist who worked for the NHS in sent its free use and dissemina- Lampedusa island. In April 2008, tion (EPO application number she found herself in the urgent 09005054.3 2002 - 2008 April) but only in 2009 MobileDiagno- malaria from a blood sample of sis aquired real life and a global an African immigrant. With no relevance. other means at hand, she took The meeting with Eduardo Missoni has been determinant; using the camera incorporated Eduardo in fact understood im- in mobile-phone, without addi- mediately the relevance of the tional devices, and sent it via method, and the two scientists MMS for tele-diagnostic purpo- together, just after two months ses to a reference center. The after their meeting published the method on a open source scien- for patent in April 2008, with the 3
  • 4. How it works Peripheral healthcenter sends a “critical” diagnostic image taken with cell phone by MMS Main refernce center/laborato- ry receives the image and im- MMS with image. mediately sends an alert SMS to on call doctor to consult. The images are also stored in a web platform, to be visualized Local refernce doctor make from national and international supporting diagnosis and sen- consultant and also are used to ds answer by SMS. create a diagnostic database. Diagnosis returns to peripheral laboratory by SMS. 4
  • 5. A diagnostic help, consulen- Improve needy people ce, second opinion is the main and rural communties health. way to give a correct diagno- sis. In the same way, students can Decrease of mortality easily examinate specimen, and discuss about diagnosis simply taking a picture of the - Chance to follow deseases’ This method, affordable, easy spreading and to give aimed help. and not related to internet net- work, can easily reach all tar- get in all settings, health posts, Higher accessibility health centers, etc. of m-phone over internet. Rural community students can learn the method easily and don’t need a long training. Chance for local people to help their communities. Decrease of medical costs. Better diseases prevention 5
  • 6. Afghanistan Here are all the areas where Mobile Diagnosis worked and Bangladesh will work to improve healthca- Uganda re in rural communities all around the world. Past Projects Uganda (Gulu) Bangladesh (Comilla) Bangladesh (Dinajpur) Afghanistan (Herat) Bangladesh Future Projects Bangladesh Madagascar Madagascar Past Projects Future Projects MD Projects
  • 7. Past Projects In Gulu,Uganda, September-No- vember 2009,livia has been in Lacor Hospital, after invitation of Corti Foundation. Here she tau- ght to students of second year of school for labtechnicians and she built the teaching room for pratical laboratory and introdu- ced the students to microscopy. Rural Village time using the mobile as educa- tive tool: all students learned ea- sily and quickly MobileDiagnosis Year 2009 was born. Country Uganda Cities Gulu Saint Mary Hospital Saint Mary Hospital Children community 7
  • 8. Past Projects MobileDiagnosis partenered with Nobel Professor Moham- mad Yunus, and help in intro- ducing the “mobilediagnosis” method in rural communities in Bangladesh. In rural centers of Grameen Kalyan in Bhuapur, Tangail Students taking pictures 16 lab technicians learned lowcost telepathology and basic telemedicine using only Year 2010 local minimal equipment and Country Bangladesh available personal cellpho- Cities Dhaka nes. In Comilla district, 6 medical doctors were trained Bhuapur about logic clinic, differential Comilla health center diagnosis, primary health Comilla Health Center care and transmission of ul- trasound images with the mobile-phone. Later the diagnostic images from peripheral health cen- ters were sent to Dhaka a distant diagnosis from a far location. Students of community 8
  • 9. Past Projects In Dinajpur, MobileDiagnosis worked with healthworkers and student of Saint Vincent Mis- sionary Hospital of PIME (Pope Institute of Foreign Missio- nary Organizations). Diagnosis method has been tea- Local People 25 years old) from the local rural aborigenal community who had no previous experience in me- - Year 2010 ce proved that the method can Country Bangladesh be learned by anyone in a very Cities Dinajpur short time regardless external St.Vincent Hospital factores like scholarization or age and that everyone can do Saint Vincent Hospital something for thier community. Graduated Students 9
  • 10. Past Projects MobileDiagnosis worked with local lab technicians in a MAE (Italian Cooperation Deve- lopment) project in the Medi- cal Laboratory of Childrness, Governative Hospital of Herat. Five lab technicians of Pedia- tric Hospital has been introdu- ced to microscopy and to the Herat Governative Hospital use of mobile as educational tool. They learned also to take and transmit images taken Year 2011 from microscope by mobile. Country Afghanistan In Pediatric Hospital of Herat the Cities Herat method proved its potential as Governative Hospi- tool for bridging socio cultural tal of Herat gap and permit Care and Edu- cation to Afghanistan Woman, in Class with Dr. Bellina a context, were women access to a male dominated health sy- stem is restrained ; two women with no education or lab expe- rience learned in a few minutes, driven by the curiosity caused by seeing Dr. Bellina working, to take pictures from a micro- scope with a mobile phone. Herat People 10
  • 11. Future Projects Mobile Diagnosis in partner- ship with Smiling Rainbow Foundation aims to improve life and health condition of 34 ru- ral communities in south-west of Bangladesh. The project will be developed in three phases: Selection of 68 people, two from every rural areas, who will take the courses. Building of “teaching room” as Year 2012 teaching and working place. Country Bangladesh Cities 34 rural communi- Training in 10-12 people classes who will recive for- ties in south-west of mation in basic hygiene, ba- Bangladesh Local People patologies which occur most frequently in this territory. Theacher and Students 11
  • 12. Future Projects The project will take place on south west of Madagascar in Tulear Region in partnership with the Association “Amici di Ampasilava” that built the Anda- vadoaka Hospital with personal expenses and great committ- ment. MobileDiagnosis will support the Local People staff of Andavadoaka Hospital and there will train selected pe- ople from all villages from which come patients. Year 2012 Country Madagascar Cities Tulear Region Rural House Local Child 12
  • 13. One the greatest advantages of Mobile Diagnosis is its ver- satility, here are some exam- ples. Connecting he sis alt no iag wo eD rke rs wo Mobil rldwide f or be te t rd iag nosis Oral Cavity Tympanus Ortopaedics Dermatology Radiology Evidence Based Microscopy Applications
  • 14. Applications Oral cavity Simply taking an image of the oral cavity with your m-phone allows you to analyze and diagnosticate several 1 2 1 Tongue lesions 2 Aphtous Avitaminosis 3 Tongue lesions 4 Tongue congenital Avitaminosis Hemangioma 3 4 14
  • 15. Applications Tympanus Mobile Diagnosis method allows to take pictures with the otoscope and - panus area allowing to detect and treat various illness of the ear. 1 2 1 Tympanus 2 Tympanus 3 Tympanus 4 Tympanus 3 4 15
  • 16. Applications Orthopaedics - Lordosis Taking an image of the patient and sending it for a distant consult allows healthworker to be sure of the tre- 1 2 1 Lordosis - front 2 Lordosis - rear view view 3 Lordosis - right 4 Lordosis - front view view 3 4 16
  • 17. Applications Dermatology Taking an image of involved tissues and sending it for a distant consult allows healthworker to be sure of the 1 2 1 Allergic reaction 2 Fungine lesions to drugs (Mala- and bacteric rone) infection 3 fungine skin 4 Nevo lesions 3 4 17
  • 18. Applications Radiological Examination Taking an image of the x-ray scan and sending it for a distant consult allows healthworker to be sure of the 1 2 1 Cranium x-ray 2 Feet x-ray scan scan 3 Ankle x-ray scan 4 Ankle x-ray scan 3 4 18
  • 19. Applications Ultrsound Scan Taking an image of the ultrasound scan and sending it for a distant consult allows healthworkers to de- tect malformation or disfuction of the phoetus and to choose appropriate treatment. 1 2 1 Phoetus Scan 2 Phoetus Scan 3 Ultrasound scan 4 Ultrasound scan 3 4 19
  • 20. Applications Evidence Based Taking an image of the area invol- ved and sending it for a distant con- sult allows healthworkers to be sure of the illness of the patient and of the treatment needed. 1 2 1 Oedema in 2 Skin lesion pa- Children with glo- rasyte microlar- merulonephritis vae 3 skin fungine 4 Skin lesion pa- lesions rasyte microlar- vae 3 4 20
  • 21. Applications Microscopy Microscopy Hematology Mycobacteria Parasites Trypanosomes Malaria Fluorescence Histology Urin Analysis Pap Test 21
  • 22. Applications Hematology Several deseases of the blood cells can be detected taking a picture of enlarging it. 1 2 1 Hematological 2 WBC maturative alterations in phase thalassemia 3 Immature RBC 4 Immature WBC 3 4 22
  • 23. Applications Mycobacteria Mycobacteria like the responsible for TB and leprosis can be detected in a blood stained slide with the use of a microscope. 1 2 1 Tuberculosis 2 Tuberculosis 3 Leprosis 4 Leprosis 3 4 23
  • 24. Applications Parasites In the rural areas where drinkable - sites infections are one of the most common diseases. MobileDiagnosis helps to solve this problem. 1 2 1 Ascaris Lumbri- 2 Trichiuris coides 3 Strongiloides 4 Fasciola Hepatica Sterco Larvae 3 4 24
  • 25. Applications Trypanosomes Trypanosomes’ infection is detecta- ble in blood stained slide; enlarging for healthworkers. 1 2 1 Trypanosome 2 Trypanosome Brucei Brucei 3 Trypanosome 4 Trypanosome Gambiense Crusi 3 4 25
  • 26. Applications Malaria In the rural areas where malaria is present MobileDiagnosis is an im- - sitivity even if done as negative by simply enlarging the image. 1 2 1 Malaria Game- 2 Malaria infected tocytes red cells 3 Malaria 4 Trohpozoites 3 4 26
  • 27. Applications Fluorescence - gnosis allows to take pictures of the - dition. 1 2 1 Fluorescence 2 Fluorescence example. example. 3 Fluorescence 4 Fluorescence example. example. 3 4 27
  • 28. Applications Histology The study of tissues is easier if you detect anomalies. MobileDiagnosis allows also healthworkers who are not sure of the diagnosis to ask for a second opinion. 1 2 1 Histological exam. 2 Histological exam. 3 Kidney Glomerule 4 Prostatic Ipertro- with sclerosis phy adenoma 3 4 28
  • 29. Applications Urin Analisys There are several pathologies that can be detected via urin analisys. The analisys of the pictures can re- veal even the less obvious patolo- gies. 1 2 1 Uric Acid Cristals 2 Spermatozoas 3 Urinary tract 4 Calcium Oxalate infection cristals leukocytosis 3 4 29
  • 30. Applications Pap Test MobileDiagnosis can help women cancer diagnostics enabling easier diagnosis even for the lesser skilled hearthworkers. 1 1 Pap Test Urinary epitelial cells 2 Pap Test 2 30
  • 31. Mobile Diagnosis Creative Team info@mobilediagnosis.net mdcreativeteam@gmail.com Giovanni Azzolina Roberto Ingrassia Domenico Scarpinato