E health opportunities monguet oct 2014 vilnius

eHealth Opportunitiesthepracticeofinnovation.net

Josep Mª Monguet / Vilnius, Oct 28th 2014. [email protected] http://thepracticeofinnovation.net

EHealthopportunities

mailto:[email protected]

http://thepracticeofinnovation.net/


Data/Time/Space Management

Augmented servicesLearning

communities

Accelerated KnowledgeCollective

intelligence Health land

EHealthopportunities


Health land


communities


Ehealth opportunities


intelligence


Expenditure Inefficiencies

Health land

eHealth Opportunitiesthepracticeofinnovation.netOECD Health Data 2013

expenditureHealth land

20102000

1816141210

86420

% o

f GD

P

OECD average

eHealth Opportunitiesthepracticeofinnovation.netData for Southampton city 2012


0 10 20 30 40 50 60 70 80 +85

100

75

50

25

0

% o

f peo

ple

by a

ge

0 CC (no chronic conditions )

12

8 CC3 4 5 6 7

eHealth Opportunitiesthepracticeofinnovation.netOECD Health Data 2013


1850 1900 1950 2000 2050

1009080706050403020

Life

exp

enta

ncy


30% of health spending is intended to be ineffective or unnecessary care, resulting from the impact of medical errors & redundancy procedures*

inefficiencies

* Elliott Fisher & John E. Wennberg

Health land



communities


Health land



intelligence


DTS management

Adena Regional Medical Center

distances


DTS management

TRHLAB

time


DTS management ubiquity


DTS management not enough



communities


Health land



intelligence


“your pill is watching you“

Augmented services Monitoring


user

therapist

families

eTona 2008

Augmented services Integrating

Primary care


eHealth Opportunities

Learning communities

Augmented services


Health land


intelligence

eHealth Opportunitiesthepracticeofinnovation.nete-fer. IPL / UPC 2008

Learning communities sharing

eHealth Opportunitiesthepracticeofinnovation.netTRHLAB. Living Learning Community for Spasticity

Learning communities participating




communities


Health land


intelligence


Accelerated knowledgeG

DP

Wor

ld P

aten

et fi

lling

Global Patent. Andrei Ionescu

production




communities


Health land


intelligence


Collective intelligence networks

eHealth Opportunitiesthepracticeofinnovation.netDetecting influenza epidemics using search engine query data. Google & C. Disease Control & Prevention. Nature 2009

Collective intelligence big data


sharingCollective intelligence


Collective intelligence brilliant


Applications & modalities

Collective intelligence


Collaborative design of health modelsCase

Selection of chronic care indicators


Selection of chronic care Indicators

1Model

Revision of the proposed model

of indicators

2Profile

Personal experience and

knowledge

3Round

Votes and opinions for consensus

4Evaluation

Usability and utility of the consensus



1/36

% of patients enrolled in “Adherence to the pharmacological treatment” Program

Which is the level of relevance of this indicator

Low High

Capacity to calculate affectively this indicator?

1 2 3 4 5 6 Very limited

Is this indicator important for the patient?

Feasible

1 2 3 4 5 6

1 2 3 4 5 6 Not at all To much

We ask you to answer for each indicator the questions proposed.


1 2 3 4 5 6


1/36



Low High




1 2 3 4 5 6

1 2 3 4 5 6 Not at all


Feasible

To much

N: 37


1 2 3 4 5 6


1/36



Low High




Feasible

1 2 3 4 5 6



1 2 3 4 5 6

N: 37

N: 37


1 2 3 4 5 6


1/36



Low High




Feasible

1 2 3 4 5 6



1 2 3 4 5 6

1 2 3 4 5 6

N: 37

N: 37

N: 37



Management PlanningClinicWeighting of your answers according to your personal profile of knowledge and experience

Clinic

Management

Planning

1 2 3

1 2 3

1 2 3


Meta results


Communicating chronic management strategy (Learning).

Alignment of the system via consensus (Decision Making).

Collaboration for the establishment of priority indicators.

Broad participation of healthcare professionals in identifying needs and opportunities.


Publication


Paper in press …


Collaborative design of health models

Innovation participative spaceCase

Primary Care Innovation


Primary Care Innovation


Collaborative design of health modelsInnovation participative space

Consensus on clinical cases. Case

Training on mental health


Training on mental health


Methods of application

Delphi Express Continuous


Conclusions

1. In the health area, professionals respond positively to the model of HC participation

2. The HC process is efficient and operational as shown by satisfaction levels and perception of involvement.

3. Professionals perceive that they provide value with their participation.

4. The results of participation are considered useful and relevant contributions.

E health opportunities monguet oct 2014 vilnius

Health & Medicine

Transcript of E health opportunities monguet oct 2014 vilnius