Collective Intelligence at HCist17*

If we put participation as the extreme of an axis, the other extreme of the axis could be marginality. So, it’s like saying participate or die. It may sound radical but that’s probably the right way to see it. Health participation has another axis: between professionals and patients.
Participation is a complex multidimensional matter, from one hand, it’s becoming a citizen’s right, and for the other it’s like a new scale relative to the citizen involvement in everyday personal life. + [Slides]
International Conference on Health and Social Care Information Systems and Technologies HCist17

Critical lab results consensus

It was hard to believe, but there is no consensus about what values should be informed as critical results, neither in the labs of the same organitsacion (ICS). So, a real-time Delphi, methodology “health consensus” (HC), with motivating and participative questions was applied. The physician was expected to choose a numeric value within a scale designed for each analyte. The medians of critical results obtained represent the consensus on critical results for outpatient and inpatient care. [Paper]


El curs PINNTS promou l’Aprenentatge pràctic de la innovació. Tots els conceptes i models que es proposen al curs s’apliquen d’una banda a entendre casos reals d’innovació i de l’altra a desenvolupar el projecte d’innovació triat i proposat des del propi entorn professional dels participants.  El curs PINNTS aplica les tècniques de coLearning, classe inversa i aprenentatge basat en projectes, entre d’altres. [Programa]

Health Consensus 2012-2017

[p] J.M. Monguet, A. Trejo, T. Martí, J. Escarrabill. Health Consensus: A Digital Adapted Delphi for Healthcare. (2017). International Journal of User-Driven Healthcare V.7 (1)

During 5 years, a prototype of Health Consensus, has been gradually improved through its application to a large number of real cases. The digitally adapted Delphi, supported by the various capabilities of Internet, is a useful and expandable tool for participative processes. Internet, definetly provides several opportunities to overcome many of the limitations of conventional Delphi, as well as improving the final studies with new functionalities. + [Paper]

Multidisciplinary research on sex

[p] A Multidisciplinary Approach to Sexual Behavior Profiles: The SEX360 Model
García-Cruz, E., Monguet, JMª, Marre, D., González, M., Peraza, M. F., Sánchez, C. & Alcaraz, A.  Sexuality & Culture, 1-11.

Real-time Delphi dynamics was used to develop a multidisciplinary questionnaire for defining individual sexual behavior profiles. The questionnaire was developed by a panel of experts with research experience in the fields of urology, gynecology, psychology, anthropology, and sexology. A specific approach was applied to assign a bias to each question, shifting the center of gravity of each 6-point scale, depending on the relevance of each question for the diverse variables of the model. The resulting bias was translated to a factor to be applied to the score. + [Paper]

Health planning with Geo-CI

[cp] Geospatial collective intelligence for health planning: A case study for screening tests in the city of Esmeraldas, Ecuador.
Vélez, A. F. J., Fierro, J. M. M., & Terán, L. (2017, April). . In eDemocracy & eGovernment (ICEDEG), 2017 Fourth International Conference on (pp. 167-172). IEEE.
A spatial Delphi is applied to improve the territorial distribution of health services. A geospatial collective intelligence approach, allows selecting suitable areas for the allocation of equipment, supplies, and services of health-screening tests for pregnant women in Esmeraldas (Ecuador). + [Paper]

Opnion Survey in Health Research

Level V: Opinion: Survey Design and Execution
Principles and practice of surgical research. Vall d’Hebron Hospital. 23 Junio 2017, [Program]
Delphi Online Opinion Surveys (DOOS) has a great future in the design of research projects in the field of surgical research. The combination of participatory methodologies allows constructing a solid base from which to beguin research. + [Slides]

Collective Spatial Analysis

4[p] Collection and Integration of Local Knowledge and Experience through a Collective Spatial Analysis.
Castillo-Rosas, J. D., Diez-Rodríguez, J. J., Jiménez-Vélez, A. F., Núñez-Andrés, M. A., & Monguet-Fierro, J. M. (2017). ISPRS International Journal of Geo-Information, 6(2), 33.
A prototype of a WEB-GSDSS allows a group of people to participate anonymously and asynchronously in a decision-making process to locate goods, services, or events through the convergence of their views. Two case studies for planning services in districts of Ecuador and Italy were carried out + [Paper]

[cp] Geospatial model e-health planning collective intelligence
Vélez, A. F. J., Rosas, J. D. C., & Fierro, J. M. M. (2016, March).
In eDemocracy & eGovernment (ICEDEG), 2016 Third International Conference on (pp. 121-125). IEEE.
A collective intelligence spatial model allowing creation of geospatial patterns on the territorial allocation of equipment and health services considering the needs of population. + [Paper]

Healthconsensus on Chronic Care

[p] Monguet, J. M., Trejo, A., Martí, T., Espallargues, M., Serra-Sutton, V., & Escarrabill, J. (2016). Assessment of chronic health care through an Internet consensus tool. Handbook of research on trends in the diagnosis and treatment of chronic conditions, 424-443.

“Health Consensus for the Assessment of Chronic Care Programs” (HC-ACP) is an internet based application created to promote and facilitate the participation of health professionals in the definition of a set of indicators for the assessment of chronic care and management of areas of improvement in this field. The first prototype of the application has been applied twice, first in the region of Catalonia, and in a second project in the context of the whole Spanish Health System. HC-ACP has collected contributions from more than 800 health professionals from around Spain including profiles in the fields of management, health care professional, health planning and quality assessment, allowing sharing and aggregate knowledge and clinical experience from a wide range of points of view.

Besides the relevance and utility of the Health Consensus method, the action-research conducted to build the application proves the efficiency and effectiveness of getting health professionals really involved in the processes of defining the models to assess the healthcare system. The online method proposed has been accepted by participants who have expressed high levels of satisfaction during the participation process. + [Chapter]

Nurse Prescribing Consensus

Nurse prescribing 2015[p] Brugués i Brugués, Alba; Catalan, Arantxa; Jodar, Glòria; Monguet, Josep Maria; and Trejo, Alex (2016) “Consenso online sobre prescripción enfermera entre profesionales de la salud,” Revista de Innovación Sanitaria y Atención Integrada: Vol. 8: Iss. 1, Article 1.

The Online Consensus on nurse prescribing is a model that allows determine, in a health organization, which is the current expectation that diverse health professionals have in relation to the forthcoming regulation of nurse prescribing. The tool has been applied to a group of primary care centers in the southern metropolitan region of Barcelona. Nurses agree but among physicians there isn’t a lot of consensus. The Health Consensus model has been applied in two successive waves with 375 participants. + [Artículo]

Why CI is so important?

ILLU-ART-INTELLCO[c] Josep Mª Monguet. Collective intelligence. Summary of the lecture at Innovation Kitchen Barcelona. November 10th 2015.

Collective intelligence (CI) is not new, but like many other areas has gained momentum with technology. CI has been here since the beginning of the times, hunting mammoths for instance was already a CI activity and humans did a lot of creativity improving the hunting tools, and innovation was quite efficient because there are no more mammoths right now.
I do sincerely belief collective Intelligence (CI) is an important driver of the future. Imagine for a moment that some of us might put our brains to work in parallel with a certain level of efficiency. In fact according with the current research, when measuring CI as team performance, it correlates with how well a team works but not with the IQ level of the team members.  There is no doubt that technology will help us to be much more efficient in working together and that artificial intelligence will serve a lot at the service of CI.
This lecture will try to inspire you in relation to CI hidden potentials for intelligence development, understanding intelligence in terms of knowledge production and in its creative or practical life dimensions.  We have not been very well educated in relation to collective activities, nor educated at all about future or about collective action while new capacities and skills in all these areas are going to be key for innovation. We do a lot of teamwork, we play team sports but in general we do not have tools to play as collectives as we have to play as individuals.

CI examples.

Francis Galton, a multifaceted scientist from the XIX century, attended once a farmers’ fair, where one of the activities consisted of trying to guess the weight of an ox. Around 800 people participated in the contest and wrote their guesses on tickets. The person who guessed closest to the weight of the ox won the prize. After the contest Francis Galton took the 800 tickets and did some statistics. He discovered that the average guess of “all the entrants” was remarkably close to the actual weight of the ox. This collective guess was not only better than the actual winner of the contest but also better than the guesses made by cattle experts at the fair.

A domestic simple example of CI is “Who wants to be a millionaire”, a contest in which sometimes the player can ask the audience (the joker card). Each member of the audience makes an individual vote for one of the answers. The votes are collected and the results are displayed. If a particular answer gets a lot of votes, the player generally goes along with it, and in 95% of the cases it is correct.

Juries verdicts may be considered a relevant case of CI. The jury is at the frontier of another concept known, from a long time ago, as “Collective Wisdom”. If CI is related with human knowledge, collective wisdom might be related with human values. The problem is that according to research juries are wrong in one out of eighth cases.

A case that someone could typify as a bit worrying is the “Good Judgement Project” aimed to find new approaches to political forecasting. Hundreds of questions related to geopolitics were sent to thousands of participants to evaluate their forecasting capacity. This served to select the top 2%, so called super forecasters, able to be quite accurate in guessing about world events evolution.

Practical work

Acting in an intelligent way collectively may be done through different strategies and particularly using Internet tools. In this session we will propose the use of two different internet tools that may be categorised in the field of collective intelligence. Tools are creations of Onsanity. www.onsanity,com

1. Team Equilibrium

Register, login and just follow the instructions. Once you get your profile please invite members of your team to compare individual differences and discuss the profile of the group. This exercise is intended at promoting consciousness and implications of team profile.

2. 2050 Lab   /Ask for nominal participation. Contact

For more information visit:

I propose to participate in a collective intelligence tool to develop our intuition about the future. Nobody knows what is going to happen in the future but if we could combine the intuitions of the right people, people with a balanced combination of creativity, rationality, knowledge and experience, their collective intuition could be a fine approach to the trends of the future.

The tool consists of a Real Time Delphi system that allows getting consensus about a particular model of the future. In this case the model is about knowledge and academy in 2050.

Once the model is discussed and agreed upon, participants start the process of responding to the questions they are asked. As soon as a participant answers a question, an instant representation of all of the participants aggregated results is displayed next to the answer. This way, the participant may ponder the answer against the crowds answer through centrality (mean or median) and dispersion scores (standard deviation or interquartile range) and decide whether or not to change his or her opinion. As it is allowed to change answers to facilitate agreement, it’s easy at the end see which components of the model have gained a strong consensus and where weak agreements have been found.

(image source : Pink Sherbet Photography on Flickr)

A short introduction to creativity

Sense nomJosep Mª Monguet. UPC.  Lecture October 30th 2015. Universitas Telefonica, La Roca del Vallès

Access to presentation

According to an IBM survey of 2012 creativity is the most important skill quality for leadership. There is an interesting study just published this year linking Porter industry clusters and Florida creative professionals approach. In this study, authors propose 4 categories combining in a 2×2 matrix, cluster and occupation categories. With data from 2012 they analysed the salaries in US. Looking at the salary differences, depending on the position in the matrix, few words are needed.

In a short presentation of creativity it’s necessary to mention at least: how and why ideas are bornt, future, people and how creativity is facilitated. Ideas are in the future and so far are the result of human activity through a kind of process.

– Ideas arise as consequence of a need or a problem that has been identified
– The production of ideas is related with the high level of thinking.
– Ideas are enriched when sharing, but later ideas have to be implemented and then collaboration is necessary.
– There are many strategies and techniques for the production of ideas, the more known, although many times not well applied, is Brainstorming.TRIM is a completely different approach based on a matrix that confronts all aspects of a product design among them.
– Ideas will live in the future. We look at the future using projections of available data. Besides rational forecasting, there are unexpected situations that combined with predictions allows to imagine scenarios.
– Finally creativity involves people, obvious. Ideas for the future are proposed, assessed and implemented by people.

Collective Intelligence of groups

Collective intelligence is present in the nature in many ways, from ants to bees and fishes, and has been a key aspect in humanity’s development, despite the fact that quite often it has been used for war and destruction.  Learning by Doing is an excellent strategy for collective intelligence education, and Fabricius provides a set of tools whose objective is to convert into active knowledge, value created by students during the development of their projects.
One of the future challenges is how to increase collective intelligence performance to improve society behaviour, and particularly in order to be more efficient in managing innovation and research. Although there are significant amounts of research going on, so far there is very limited awareness about the importance of tuition of collective intelligence. The research in the field of collective intelligence education has to involve many approaches, from ethics to physics but one that is particularly relevant is the influence and potential of ICT tools.

Pepers An educational model to improve Collective Intelligence of groups  in  EDULEARN14 Proceedings

TRHLAB Best in Class Award 2014

TRHThe Telerehabilitation System co directed by Helena Bascuñana  & Josep Mª Monguet since 2008, has been awarded as the best project with the eHealth Best in Class 2014. TRHLAB, implemented in Hospital de Sant Pau, has had the unconditional support of all the team of the Rehabilitation Service of Hospital de Sant Pau and the engineer Alex Trejo from Onsanity.

The TRHLAB system aims to facilitate the transformation and modernisation of Hospital Rehabilitation Services through the construction of a virtuous circle in which the development of solutions is based on the involvement of stakeholders using a model featuring the following characteristics:
Distributed. TRHLAB essentially exists in the cloud and aims to find a space in each hospital rehabilitation unit.
Open. TRHLAB is open to participation by all centers and professionals, who are able and willing to engage in the development and implementation of the system on different levels: users, innovators and researchers.
Networked. TRHLAB  is built on a network where rehabilitation therapies are  tested and validated by multi-centric clinical trials.

eSpasty is part of the TRHLAB system, a telemedicine tool to assess and follow the effect of botulinum toxin in patients with spasticity that causes walking disability. The model is based in recording and sending video  and the rating scales from home with the regularity established by the doctor.  The patient has access to videos that show how to perform the therapies that have been proven beneficial to optimize the effect of the toxin.


Research: TRHLAB Modelo de Innovación
Presentation: TRHLAB en Hospital de Sant Pau 2012 
Notes: La tele-rehabilitación emerge en aras de un paciente más autónomo y mejocontrolado   

eHealth a sea of opportunities

[c] eHealth a sea of opportunities
Oct 2014. Vilnius.
The image depicts a simple metaphor I propose to explain what ICT (Information & Communication Technologies) can do for our health in the near future. Health land may be imagined as a shore next to a sea of opportunities that are coming in successive waves. The immediate wave is the one that crashes in the edge of the sand and gets our feet wet and captures our attention. This first wave is the one of the obvious opportunities that ICT offers. But let’s have a look at the waves that are coming and let’s consider the deeper movement of water which actually creates the waves in the surface. +

[p] Surfing and diving: el largo plazo en la aplicación de la tecnología digital a la salud +
[p][ch] Las TIC en el Sector de la Salud. eSalud un mar de oportunidades. +  + 

HealthConsensus at IDIAP Jordi Gol

targeta Health ConsensusThe Health Consensus experience was presented to the “Institut d’Investigació en Atenció Primària Jordi Gol” in september 2014. Health Consensus is a system and a methodology inspired on real time delphi, adapted to the needs of health professionals and organisations. “Health Consensus” has been developed by the company Onsanity and it was based initially on a research born at UPC in 2006.

Health & Collective Intelligence

Collective health policy making in the Catalan Health System: applying Health Consensus to priority setting and policy monitoring. Research work presented at the Collective Intelligence MIT Boston 2014
Team Equilibrium and Innovation Performance. Presented at the Tsinghua International Design Management Symposium 2013.
Innovation Consensus: Collective decision making support system for innovation management.  Presented at the Design Management in an Era of Disruption London, September 2014


Fabricius (*) is a research project focussed on the creation of  tools to support education of innovation. The research intersects the practice of Innovation with .
Collective intelligence is present in the nature in many ways, from ants to bees and fishes, and has been a key aspect in humanity’s development, despite the fact that quite often it has been used for destruction. Learning by Doing is an excellent strategy for collective intelligence education, and Fabricius provides a set of tools whose objective is to convert into active knowledge, value created by students during the development of their projects.
One of the future challenges is how to increase collective intelligence performance to improve group behavior, particularly in order to be more efficient in managing innovation. Although there are significant amounts of research going on, so far there is very limited awareness about the importance of tuition of collective intelligence. The research in the field of collective intelligence education has to involve many approaches, from ethics to physics but one that is particularly relevant is the influence and potential of ICT tools. The focus of the research is the conception, development and experimentation of systems and models that promote collective intelligence education in the field of design and innovation. The system is intended to facilitate the management of people and ideas during the stages of a project.
(*)Fabricius is a latin name that romans gave to particularly skilled slaves.

Innovation Development Checklist

CID figure tPoIA Checklist for Innovation Development (CID), is an online system created to facilitate the participation of professionals in the decision making processes of innovation development. The system has been designed, implemented and tested initially with 6 cases, involving different kind of companies in the region of Barcelona.

The innovation model and its online tool version have been proposed and created, to handle a Real Time Delphi participation of designers, experts and managers in the evaluation and discussion of all the relevant topics of an innovation project oriented towards the creation of a new product and/or service.

Paper  Innovation Consensus: Collective decision making support system for innovation management  presented at  Design Management in an Era of Disruption. London, September 2014

Design research & innovation

IDIDEstudio de viabilidad para el impulso de una plataforma para la investigación en diseño guiada por la demanda de innovación. 
BCD/Minitserio de Industria G. España. 2014

Marco teórico:  Notas sobre investigación en diseño e innovación (Monguet Ferruzca 2014) +
En este trabajo se responde a algunas preguntas centrales sobre Investigación en Diseño:

  • ¿Qué es y en qué estado se encuentra la Investigación en Diseño?
  • ¿Puede la Investigación en Diseño responder con fuerza e intensidad a las demandas de innovación de las empresas?
  • ¿Es necesario un espacio para el trabajo colaborativo en el ámbito de la Investigación en Diseño?

El trabajo expone y argumenta con profusión porque y como desde la Investigación en Diseño se pueden hacer aportaciones para responder a los grandes retos socio-económicos a los que nos enfrentamos actualmente:

  • La Investigación en Diseño puede contribuir notablemente a crear puestos de trabajo sostenibles intensivos en conocimiento.
  • La Investigación en Diseño favorece el diseño social responsable o de productos y servicios más asequibles.
  • La investigación en Diseño contribuye al acercamiento entre las universidades y las empresas en el contexto de la innovación.

La conexión oferta–demanda, en el campo de la investigación–innovación, no es fácil que se genere espontáneamente, si no se activan ciertos catalizadores que faciliten un enlace efectivo universidad, empresas y profesionales.   Así pues, la justificación y el sentido del proyecto IDID, presentado en este trabajo, se encuentran en la necesidad de promover la Investigación en Diseño como un factor clave para el desarrollo de los sectores industriales y de los servicios.
Esta propuesta aporta los elementos necesarios para la eventual activación de un espacio que acelere una comunidad de Investigación en Diseño capaz de asumir los retos que le corresponden.  La propuesta ha sido creada gracias a una participación amplia e interactiva de los agentes y de las personas de la comunidad de diseño local, y si bien el trabajo aquí presentado corresponde a las actividades de 2013, el resultado expuesto es fruto de tres años de trabajo.
Se propone finalmente una estructura operativa que basa su funcionamiento en un nuevo modelo de interfaz que, partiendo de la necesidad de trabajar con rigor científico, tenga como razón de ser la respuesta a las necesidades de las empresas y de la sociedad.
Este estudio pivota alrededor de las Escuelas de Diseño, entendiendo que las mismas son el activo clave del potencial de investigación en Diseño de la Región Metropolitana de Barcelona. Este colectivo lo integran unos 9.000 estudiantes  y más de 300 profesores a tiempo completo.
To companies, To professors (Cat)