SlideShare uma empresa Scribd logo
1 de 57
Orfeo Mazzella | CM1D database   1
Introduction
The involvement of the patient on the part of the scientific community and the of
voluntary associations in the collection and sharing of online data is as follows:

     –    for the promotion of health and for the study of it’s natural evolution

     –    Quality of Life

     –    for the improvement of auditing “ clinical risk”

     –    for the distribution and common usage of scientific knowledge

     –    to supply a scientific base for the comprehension and the study of health

     –     to establish a universal language to describe health and it’s conditions in order
     to improve communication between diverse users: medical staff,                 researchers,
     political exponents and the population

     –    to render possible a comparison between data collection worldwide

     –    to supply a systematic coding scheme for in house healthcare IT systems



                               Orfeo Mazzella | CM1D database                                      2
The collection of data adheres to all privacy norms




     www.garanteprivacy.it/garante/navig/jsp/index.jsp

                     Orfeo Mazzella | CM1D database      3
Data according to SISMEC and CEAS recommendations


Recommendations of good practice in the research of epidemiology
and clinical environment




                       www.sismec.info

                       Orfeo Mazzella | CM1D database              4
Recommendations

The publication of means of mass media must come
about only after the results have been revealed in an
appropriate scientific contest and, possibly, through
divulging the source


         (According to clinical environment - SISMEC)




                    Orfeo Mazzella | CM1D database      5
The collection of patient data: Quality of life




                      Orfeo Mazzella | CM1D database   6
The collection of data adheres to the principles




GPC (Guideline for Good Clinical Practice)




                                     Principals of ethics of the Helsinky declaration




                           Orfeo Mazzella | CM1D database                               7
Data sharing
The sharing and availability of data allows to “audit” thus allowing


        a guarantee that the patient receives the best possible treatment

        clinical practice improvement

        the work to improve generally

        an optimal supply of resources

        this service becomes an opportunity for training and up - to - date
        research




                         Orfeo Mazzella | CM1D database                       8
                                                                              8
Why collect the data?



The systematic compilation of data and of
information is a fundamental element in
healthcare. The world of healthcare is in charge
of organizing this data in a systematic and
trustworthy fashion, so that a decision maker
put in such a situation of having to look at all
relevant material available can readily use the
necessary data at hand




The same goes for the patient end – user who is
also guaranteed a more trusting rapport with his
doctor if the data can be efficiently found at
hand




                              Orfeo Mazzella | CM1D database   9
Registry, archive or database?




                     Orfeo Mazzella | CM1D database   10
Definition of a database




• A database, or data bank, is a structured collection of
records or filing system that is stored in a computer
system. The structure is achieved by organizing the data
according to a database model. It can be accessed (for
data inputting, research, management and data
maintenance) via system software



• The database is a gathering of information, of data which
is then subdivided into a logic order into tables to be then
split up into fields




                     Orfeo Mazzella | CM1D database            11
Definition of data source




1.51 Source Data
  All information in original records and certified copies of
original records of clinical findings, observations, or other
activities in a clinical trial necessary for it’s reconstruction
and evaluation. Source data are contained in source
documents (original records or certified copies)




European Medicines Agency July 2002 Guideline for Good Clinical Practice




                          Orfeo Mazzella | CM1D database                   12
Definition of document source




1.52 Documents Source
• Original documents, data, and records (e.g., hospital
records, clinical and office charts, laboratory notes,
memoranda, subjects' diaries or evaluation checklists,
pharmacy dispensing records, recorded data from
automated instruments, copies or transcriptions certified
after verification as being accurate copies, microfiches,
photographic negatives, microfilm or magnetic media, x-
rays, subject files, and records kept at the pharmacy, at the
laboratories and at medico-technical departments involved
in the clinical trial).

European Medicines Agency July 2002 Guideline for Good Clinical Practice




                          Orfeo Mazzella | CM1D database                   13
Generic database for rare illnesses on internet




•NORD (National Organization Rare Disorders)

•ORDR (Office Rare Disease Research)

•SRDD (Swedish Rare Disease Database)


  ORPHANET
•CNMR (Centro Nazionale Malattie Rare)




                      Orfeo Mazzella | CM1D database   14
NORD
www.rarediseases.org




                       Orfeo Mazzella | CM1D database   15
ORDR
www.rarediseases.info.nih.gov




                     Orfeo Mazzella | CM1D database   16
                                                      16
SRDD   www.socialstyrelsen.se/en/rarediseases




       Orfeo Mazzella | CM1D database           17
ORPHANET                                    www.orpha.net




           Orfeo Mazzella | CM1D database                   18
CNMR                                    www.iss.it/cnmr




       Orfeo Mazzella | CM1D database                     19
Specific database for rare illnesses on internet



• ORCID (Orthopaedic Rare Conditions Internet database)

• RBDD (Rare Bleeding Disorder Database)

• GDMCC (Genetic Disorder Mucociliary Consortium)

• EN-RBD (European Network Rare Bleeding Database)

• ESID (European Society for Immunodeficiensies Database)

• CM1D (Chiari Malformation 1 Database)




                      Orfeo Mazzella | CM1D database        20
ORCID   Orthopaedic Rare Conditions Database




          Orfeo Mazzella | CM1D database       21
RBDD      Rare Bleeding Disorder Database




       Orfeo Mazzella | CM1D database       22
EN-RBD   European Network Rare Bleeding Database




               Orfeo Mazzella | CM1D database      23
ESID   European Society for Immunodeficiencies




            Orfeo Mazzella | CM1D database       24
CM1D           Chiari Malformation 1 Database




       http://aismac.unior.it

        Orfeo Mazzella | CM1D database          25
What is the database used for?




–    Mainly to observe the natural history of
     pathologies

–    For observational studies

–    To promote the knowledge and sharing
     new discoveries on MC1 e SM

–   To reunite distributed data with
countries      out of reach




                                 Orfeo Mazzella | CM1D database   26
What info to is required?




–   Info related to the quality of life


– Info from the patient records           according to
the present consensus

–   The patient’s outcome




                               Orfeo Mazzella | CM1D database   27
Is the data input anonymous?




–   Yes, it is anonymous and scrambled
                                                            anonymous
                                                               user




                           Orfeo Mazzella | CM1D database               28
Who inserts the data?




    –    The doctors

    –    The patients

Onto the records of the health care centre




                                  Orfeo Mazzella | CM1D database   29
Is the data constantly updated?




–   Yes, on the basis of a yearly follow- up




                             Orfeo Mazzella | CM1D database   30
How is the data collected?




–     Via a programme on a remote
    Italian server




                           Orfeo Mazzella | CM1D database   31
Where is the server that hosts the database?




                     Orfeo Mazzella | CM1D database   32
Do you need to install a program on the PC to access?




                     Orfeo Mazzella | CM1D database     33
Is it possible to share the found data on a network?




–     Yes, it is

–   You can do this simultaneously
between multiple users




                          Orfeo Mazzella | CM1D database   34
From where is the data accessible?




–   Wherever you are

–    Anywhere in the world via the
    internet connecting you to the
    project page




                          Orfeo Mazzella | CM1D database   35
Are there any otherways of accessing the data?




– Yes, every user has his own
personal password for access




                         Orfeo Mazzella | CM1D database   36
Is there a way of controlling the data’s safety against fraud?




–    Yes, for example you cannot
duplicate any data entered




                           Orfeo Mazzella | CM1D database             37
Is it possible to add X rays to the database?




–    Yes, in addition to the DICOM data
the X ray would automatically be erased
afterwards ensuring privacy by using a
program especially for this purpose




                           Orfeo Mazzella | CM1D database   38
Is the information of the patient’s privacy safe?




–     Yes, the patient is identified in
    the database through a number
    generated at random




                                Orfeo Mazzella | CM1D database   39
How do you surf the database?




–   Through   some   cards linked to
eachother




                          Orfeo Mazzella | CM1D database   40
Who owns the data?




–    The patients who have authorised
    this in written format (art.26 D.lgs
    196/2003)

–    An authorised person is named who
guarantees safety of the data (art. 28
D.lgs 196/2003)




                            Orfeo Mazzella | CM1D database   41
Can the data be used to carry out a study?




–   Yes, in an anonymous way




                          Orfeo Mazzella | CM1D database   42
http://aismac.unior.it




                         Orfeo Mazzella | CM1D database   43
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               44
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               45
CM1D                             Chiari Malformation 1 Datebase




       http://aismac.unior.it/Adesione.php?IdLingua=2


                     Orfeo Mazzella | CM1D database               46
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               47
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               48
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               49
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               50
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               51
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               52
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               53
CM1D               Chiari Malformation 1 Datebase




       Orfeo Mazzella | CM1D database               54
Partnership




              Orfeo Mazzella | CM1D database   55
Thank you for your kind attention




                  Orfeo Mazzella | CM1D database   56
http://aismac.unior.it

aismac@alice.it

  Orfeo Mazzella | CM1D database   57

Mais conteúdo relacionado

Semelhante a Chiari Malformation Project Database CM1 D

10-3. Rare disease registries. Samantha Parker (eng)
10-3. Rare disease registries. Samantha Parker (eng)10-3. Rare disease registries. Samantha Parker (eng)
10-3. Rare disease registries. Samantha Parker (eng)
KidneyOrgRu
 
Glossary of health informatics terms
Glossary of health informatics termsGlossary of health informatics terms
Glossary of health informatics terms
eduardo guagliardi
 
Glossary of health informatics terms
Glossary of health informatics termsGlossary of health informatics terms
Glossary of health informatics terms
eduardo guagliardi
 
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
DataScienceConferenc1
 

Semelhante a Chiari Malformation Project Database CM1 D (20)

VPH in Future Healthcare. Where Will We Be in 10 Years from Now?
VPH in Future Healthcare. Where Will We Be in 10 Years from Now?VPH in Future Healthcare. Where Will We Be in 10 Years from Now?
VPH in Future Healthcare. Where Will We Be in 10 Years from Now?
 
Enabling Evidence Based Medicine
Enabling Evidence Based MedicineEnabling Evidence Based Medicine
Enabling Evidence Based Medicine
 
EMIF_Pharmaceutical IT Conference London_24 September 2013
EMIF_Pharmaceutical IT Conference London_24 September 2013EMIF_Pharmaceutical IT Conference London_24 September 2013
EMIF_Pharmaceutical IT Conference London_24 September 2013
 
tranSMART Community Meeting 5-7 Nov 13 - Session 3: tranSMART a Data Warehous...
tranSMART Community Meeting 5-7 Nov 13 - Session 3: tranSMART a Data Warehous...tranSMART Community Meeting 5-7 Nov 13 - Session 3: tranSMART a Data Warehous...
tranSMART Community Meeting 5-7 Nov 13 - Session 3: tranSMART a Data Warehous...
 
Ségolème Aymé - Infraestructuras de I + D para impulsar investigación en Enfe...
Ségolème Aymé - Infraestructuras de I + D para impulsar investigación en Enfe...Ségolème Aymé - Infraestructuras de I + D para impulsar investigación en Enfe...
Ségolème Aymé - Infraestructuras de I + D para impulsar investigación en Enfe...
 
10-3. Rare disease registries. Samantha Parker (eng)
10-3. Rare disease registries. Samantha Parker (eng)10-3. Rare disease registries. Samantha Parker (eng)
10-3. Rare disease registries. Samantha Parker (eng)
 
Bertrand de Meulder-El impacto de las ciencias ómicas en la medicina, la nutr...
Bertrand de Meulder-El impacto de las ciencias ómicas en la medicina, la nutr...Bertrand de Meulder-El impacto de las ciencias ómicas en la medicina, la nutr...
Bertrand de Meulder-El impacto de las ciencias ómicas en la medicina, la nutr...
 
Evolution 2013: Prof. Dr. Georges De Moor, EuroRec on Liberating Health Data ...
Evolution 2013: Prof. Dr. Georges De Moor, EuroRec on Liberating Health Data ...Evolution 2013: Prof. Dr. Georges De Moor, EuroRec on Liberating Health Data ...
Evolution 2013: Prof. Dr. Georges De Moor, EuroRec on Liberating Health Data ...
 
Aetionomy project
Aetionomy projectAetionomy project
Aetionomy project
 
Pavia wsp october 2011
Pavia wsp october 2011Pavia wsp october 2011
Pavia wsp october 2011
 
Rare diseases and cross border patient data access
Rare diseases and cross border patient data accessRare diseases and cross border patient data access
Rare diseases and cross border patient data access
 
E health
E healthE health
E health
 
SCOPE Summit - Applying the OMOP data model & OHDSI software to national Euro...
SCOPE Summit - Applying the OMOP data model & OHDSI software to national Euro...SCOPE Summit - Applying the OMOP data model & OHDSI software to national Euro...
SCOPE Summit - Applying the OMOP data model & OHDSI software to national Euro...
 
First ECTTA Meeting in Budapest. Euromacs Data.
First ECTTA Meeting in Budapest. Euromacs Data.First ECTTA Meeting in Budapest. Euromacs Data.
First ECTTA Meeting in Budapest. Euromacs Data.
 
Medicines Safety in WHO: promoting best practices in Pharmacovigilance
Medicines Safety in WHO: promoting best practices in PharmacovigilanceMedicines Safety in WHO: promoting best practices in Pharmacovigilance
Medicines Safety in WHO: promoting best practices in Pharmacovigilance
 
Glossary of health informatics terms
Glossary of health informatics termsGlossary of health informatics terms
Glossary of health informatics terms
 
Glossary of health informatics terms
Glossary of health informatics termsGlossary of health informatics terms
Glossary of health informatics terms
 
Quantitative methods of signal detection on spontaneous reporting system data...
Quantitative methods of signal detection on spontaneous reporting system data...Quantitative methods of signal detection on spontaneous reporting system data...
Quantitative methods of signal detection on spontaneous reporting system data...
 
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
 
PHARMACOVIGILANCE_SLIDE. Insight to pharmacovigilance, covering basics and va...
PHARMACOVIGILANCE_SLIDE. Insight to pharmacovigilance, covering basics and va...PHARMACOVIGILANCE_SLIDE. Insight to pharmacovigilance, covering basics and va...
PHARMACOVIGILANCE_SLIDE. Insight to pharmacovigilance, covering basics and va...
 

Último

Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Sheetaleventcompany
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
adilkhan87451
 
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...
Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...
Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...
adilkhan87451
 
Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...
Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...
Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...
chetankumar9855
 

Último (20)

Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
 
Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...
Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...
Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...
 
Andheri East ^ (Genuine) Escort Service Mumbai ₹7.5k Pick Up & Drop With Cash...
Andheri East ^ (Genuine) Escort Service Mumbai ₹7.5k Pick Up & Drop With Cash...Andheri East ^ (Genuine) Escort Service Mumbai ₹7.5k Pick Up & Drop With Cash...
Andheri East ^ (Genuine) Escort Service Mumbai ₹7.5k Pick Up & Drop With Cash...
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
 
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
Mumbai ] (Call Girls) in Mumbai 10k @ I'm VIP Independent Escorts Girls 98333...
 
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls (DIPAL) ⟟ 8250077686 ⟟ Call Me For Genuine Sex Serv...
 
Kollam call girls Mallu aunty service 7877702510
Kollam call girls Mallu aunty service 7877702510Kollam call girls Mallu aunty service 7877702510
Kollam call girls Mallu aunty service 7877702510
 
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
 
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 8250077686 Top Class Call Girl Service Available
 
Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...
Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...
Call Girls in Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service Avai...
 
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near MeTop Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
Top Rated Call Girls Kerala ☎ 8250092165👄 Delivery in 20 Mins Near Me
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
 
Call Girls Service Jaipur {9521753030} ❤️VVIP RIDDHI Call Girl in Jaipur Raja...
Call Girls Service Jaipur {9521753030} ❤️VVIP RIDDHI Call Girl in Jaipur Raja...Call Girls Service Jaipur {9521753030} ❤️VVIP RIDDHI Call Girl in Jaipur Raja...
Call Girls Service Jaipur {9521753030} ❤️VVIP RIDDHI Call Girl in Jaipur Raja...
 
Call Girls Coimbatore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Coimbatore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 8250077686 Top Class Call Girl Service Available
 
Coimbatore Call Girls in Thudiyalur : 7427069034 High Profile Model Escorts |...
Coimbatore Call Girls in Thudiyalur : 7427069034 High Profile Model Escorts |...Coimbatore Call Girls in Thudiyalur : 7427069034 High Profile Model Escorts |...
Coimbatore Call Girls in Thudiyalur : 7427069034 High Profile Model Escorts |...
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
 
Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...
Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...
Call Girl In Pune 👉 Just CALL ME: 9352988975 💋 Call Out Call Both With High p...
 
💕SONAM KUMAR💕Premium Call Girls Jaipur ↘️9257276172 ↙️One Night Stand With Lo...
💕SONAM KUMAR💕Premium Call Girls Jaipur ↘️9257276172 ↙️One Night Stand With Lo...💕SONAM KUMAR💕Premium Call Girls Jaipur ↘️9257276172 ↙️One Night Stand With Lo...
💕SONAM KUMAR💕Premium Call Girls Jaipur ↘️9257276172 ↙️One Night Stand With Lo...
 
Call Girls Kolkata Kalikapur 💯Call Us 🔝 8005736733 🔝 💃 Top Class Call Girl Se...
Call Girls Kolkata Kalikapur 💯Call Us 🔝 8005736733 🔝 💃 Top Class Call Girl Se...Call Girls Kolkata Kalikapur 💯Call Us 🔝 8005736733 🔝 💃 Top Class Call Girl Se...
Call Girls Kolkata Kalikapur 💯Call Us 🔝 8005736733 🔝 💃 Top Class Call Girl Se...
 
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
Models Call Girls In Hyderabad 9630942363 Hyderabad Call Girl & Hyderabad Esc...
 

Chiari Malformation Project Database CM1 D

  • 1. Orfeo Mazzella | CM1D database 1
  • 2. Introduction The involvement of the patient on the part of the scientific community and the of voluntary associations in the collection and sharing of online data is as follows: – for the promotion of health and for the study of it’s natural evolution – Quality of Life – for the improvement of auditing “ clinical risk” – for the distribution and common usage of scientific knowledge – to supply a scientific base for the comprehension and the study of health – to establish a universal language to describe health and it’s conditions in order to improve communication between diverse users: medical staff, researchers, political exponents and the population – to render possible a comparison between data collection worldwide – to supply a systematic coding scheme for in house healthcare IT systems Orfeo Mazzella | CM1D database 2
  • 3. The collection of data adheres to all privacy norms www.garanteprivacy.it/garante/navig/jsp/index.jsp Orfeo Mazzella | CM1D database 3
  • 4. Data according to SISMEC and CEAS recommendations Recommendations of good practice in the research of epidemiology and clinical environment www.sismec.info Orfeo Mazzella | CM1D database 4
  • 5. Recommendations The publication of means of mass media must come about only after the results have been revealed in an appropriate scientific contest and, possibly, through divulging the source (According to clinical environment - SISMEC) Orfeo Mazzella | CM1D database 5
  • 6. The collection of patient data: Quality of life Orfeo Mazzella | CM1D database 6
  • 7. The collection of data adheres to the principles GPC (Guideline for Good Clinical Practice) Principals of ethics of the Helsinky declaration Orfeo Mazzella | CM1D database 7
  • 8. Data sharing The sharing and availability of data allows to “audit” thus allowing a guarantee that the patient receives the best possible treatment clinical practice improvement the work to improve generally an optimal supply of resources this service becomes an opportunity for training and up - to - date research Orfeo Mazzella | CM1D database 8 8
  • 9. Why collect the data? The systematic compilation of data and of information is a fundamental element in healthcare. The world of healthcare is in charge of organizing this data in a systematic and trustworthy fashion, so that a decision maker put in such a situation of having to look at all relevant material available can readily use the necessary data at hand The same goes for the patient end – user who is also guaranteed a more trusting rapport with his doctor if the data can be efficiently found at hand Orfeo Mazzella | CM1D database 9
  • 10. Registry, archive or database? Orfeo Mazzella | CM1D database 10
  • 11. Definition of a database • A database, or data bank, is a structured collection of records or filing system that is stored in a computer system. The structure is achieved by organizing the data according to a database model. It can be accessed (for data inputting, research, management and data maintenance) via system software • The database is a gathering of information, of data which is then subdivided into a logic order into tables to be then split up into fields Orfeo Mazzella | CM1D database 11
  • 12. Definition of data source 1.51 Source Data All information in original records and certified copies of original records of clinical findings, observations, or other activities in a clinical trial necessary for it’s reconstruction and evaluation. Source data are contained in source documents (original records or certified copies) European Medicines Agency July 2002 Guideline for Good Clinical Practice Orfeo Mazzella | CM1D database 12
  • 13. Definition of document source 1.52 Documents Source • Original documents, data, and records (e.g., hospital records, clinical and office charts, laboratory notes, memoranda, subjects' diaries or evaluation checklists, pharmacy dispensing records, recorded data from automated instruments, copies or transcriptions certified after verification as being accurate copies, microfiches, photographic negatives, microfilm or magnetic media, x- rays, subject files, and records kept at the pharmacy, at the laboratories and at medico-technical departments involved in the clinical trial). European Medicines Agency July 2002 Guideline for Good Clinical Practice Orfeo Mazzella | CM1D database 13
  • 14. Generic database for rare illnesses on internet •NORD (National Organization Rare Disorders) •ORDR (Office Rare Disease Research) •SRDD (Swedish Rare Disease Database) ORPHANET •CNMR (Centro Nazionale Malattie Rare) Orfeo Mazzella | CM1D database 14
  • 15. NORD www.rarediseases.org Orfeo Mazzella | CM1D database 15
  • 16. ORDR www.rarediseases.info.nih.gov Orfeo Mazzella | CM1D database 16 16
  • 17. SRDD www.socialstyrelsen.se/en/rarediseases Orfeo Mazzella | CM1D database 17
  • 18. ORPHANET www.orpha.net Orfeo Mazzella | CM1D database 18
  • 19. CNMR www.iss.it/cnmr Orfeo Mazzella | CM1D database 19
  • 20. Specific database for rare illnesses on internet • ORCID (Orthopaedic Rare Conditions Internet database) • RBDD (Rare Bleeding Disorder Database) • GDMCC (Genetic Disorder Mucociliary Consortium) • EN-RBD (European Network Rare Bleeding Database) • ESID (European Society for Immunodeficiensies Database) • CM1D (Chiari Malformation 1 Database) Orfeo Mazzella | CM1D database 20
  • 21. ORCID Orthopaedic Rare Conditions Database Orfeo Mazzella | CM1D database 21
  • 22. RBDD Rare Bleeding Disorder Database Orfeo Mazzella | CM1D database 22
  • 23. EN-RBD European Network Rare Bleeding Database Orfeo Mazzella | CM1D database 23
  • 24. ESID European Society for Immunodeficiencies Orfeo Mazzella | CM1D database 24
  • 25. CM1D Chiari Malformation 1 Database http://aismac.unior.it Orfeo Mazzella | CM1D database 25
  • 26. What is the database used for? – Mainly to observe the natural history of pathologies – For observational studies – To promote the knowledge and sharing new discoveries on MC1 e SM – To reunite distributed data with countries out of reach Orfeo Mazzella | CM1D database 26
  • 27. What info to is required? – Info related to the quality of life – Info from the patient records according to the present consensus – The patient’s outcome Orfeo Mazzella | CM1D database 27
  • 28. Is the data input anonymous? – Yes, it is anonymous and scrambled anonymous user Orfeo Mazzella | CM1D database 28
  • 29. Who inserts the data? – The doctors – The patients Onto the records of the health care centre Orfeo Mazzella | CM1D database 29
  • 30. Is the data constantly updated? – Yes, on the basis of a yearly follow- up Orfeo Mazzella | CM1D database 30
  • 31. How is the data collected? – Via a programme on a remote Italian server Orfeo Mazzella | CM1D database 31
  • 32. Where is the server that hosts the database? Orfeo Mazzella | CM1D database 32
  • 33. Do you need to install a program on the PC to access? Orfeo Mazzella | CM1D database 33
  • 34. Is it possible to share the found data on a network? – Yes, it is – You can do this simultaneously between multiple users Orfeo Mazzella | CM1D database 34
  • 35. From where is the data accessible? – Wherever you are – Anywhere in the world via the internet connecting you to the project page Orfeo Mazzella | CM1D database 35
  • 36. Are there any otherways of accessing the data? – Yes, every user has his own personal password for access Orfeo Mazzella | CM1D database 36
  • 37. Is there a way of controlling the data’s safety against fraud? – Yes, for example you cannot duplicate any data entered Orfeo Mazzella | CM1D database 37
  • 38. Is it possible to add X rays to the database? – Yes, in addition to the DICOM data the X ray would automatically be erased afterwards ensuring privacy by using a program especially for this purpose Orfeo Mazzella | CM1D database 38
  • 39. Is the information of the patient’s privacy safe? – Yes, the patient is identified in the database through a number generated at random Orfeo Mazzella | CM1D database 39
  • 40. How do you surf the database? – Through some cards linked to eachother Orfeo Mazzella | CM1D database 40
  • 41. Who owns the data? – The patients who have authorised this in written format (art.26 D.lgs 196/2003) – An authorised person is named who guarantees safety of the data (art. 28 D.lgs 196/2003) Orfeo Mazzella | CM1D database 41
  • 42. Can the data be used to carry out a study? – Yes, in an anonymous way Orfeo Mazzella | CM1D database 42
  • 43. http://aismac.unior.it Orfeo Mazzella | CM1D database 43
  • 44. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 44
  • 45. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 45
  • 46. CM1D Chiari Malformation 1 Datebase http://aismac.unior.it/Adesione.php?IdLingua=2 Orfeo Mazzella | CM1D database 46
  • 47. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 47
  • 48. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 48
  • 49. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 49
  • 50. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 50
  • 51. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 51
  • 52. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 52
  • 53. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 53
  • 54. CM1D Chiari Malformation 1 Datebase Orfeo Mazzella | CM1D database 54
  • 55. Partnership Orfeo Mazzella | CM1D database 55
  • 56. Thank you for your kind attention Orfeo Mazzella | CM1D database 56
  • 57. http://aismac.unior.it aismac@alice.it Orfeo Mazzella | CM1D database 57