HOPES

HEALTH OUTCOMES PERFORMANCE ECOSYSTEM FOR SUSTAINABILITY

The HOPES project is realized thanks to a group of health and technology expert companies working in collaboration with a selection of clinicians, hospital pharmacists, clinical informaticists, patients and health authorities with a joint ambition: to improve the quality of care in order to reduce the variability of health outcomes in chronically ill patients.

HOPES

Fundamental Pillars

The HOPES project has an international vision and is based on these three fundamental pillars:

 

  • The creation of an ECOSYSTEM that allows the different agents of the healthcare system to interact, exchange experiences and share success stories in the use of Real World Data.
  • TRAINING AND CONSULTANCY as a basis for understanding the potential of data from the real world (Real World Data and Real World Evidence), how to use it, how to exploit it and how to use it for clinical variability reduction.
  • TECHNOLOGY, understanding as a fundamental piece the interoperability between information systems to eliminate double data entry and duplicity of information in the computer systems of our hospitals. The technological pillar is centered on the HOPES platform created with specific characteristics to be an aid to decision making, in real time during the daily clinical practice, a tool for the analysis of health results and a support to management.
Pilares Hopes

HOPES

WHY CHANGE?, WHAT NEEDS TO BE CHANGED?, HOW TO DO IT?,
HOW TO PUT IT INTO PRACTICE?, WHAT ARE THE BENEFITS?

WHO?

HOPES has worked to generate an ecosystem where all health agents feel represented:

  • PARTNER COMPANIES / ENTITIES IN THE PROJECT HOPES:
    • LOGEX Group: Group of companies specialized in Data Analytics, leader in the Netherlands, Scandinavia and UK.
    • PLEXUS Tech: Leading engineering company in niche departmental applications with medical records.
  • Other Contributors:
    • ICHOM: Institution created by BCG, Harvard and the Karolinska Institute to define standard sets, strengthen the focus on health outcomes and facilitate benchmarking between hospitals, regions and countries.
    • LUZAN 5: Consultant specialising in the health sector with more than 35 years of experience. She participates in the HOPES project, involving all members of the health and social care system in its transformation.
    • MK Media: Integral communication agency specialising in the health sector. More than 25 years of experience in the pharmaceutical industry offering solutions with medical training projects and awareness with the different stakeholders in the sector. Participates in medical education campaigns on Real World Data and Chronicity.
    • IDI-EIKON: Leading technology company in European projects with innovative solutions in the areas of e-Government, e-Health, e-Inclusion; pioneer in business management applications in the cloud.
    • PORIB EFFICIENT HEALTH MANAGEMENT: Real World Data company in health. Leads the HOPES project.
  • Specialities: rheumatology, dermatology, gastroenterology, ophthalmology, oncology, infectious diseases.
  • Doctors / specialists: >200 users.
  • New areas of expansion: severe asthma, multiple sclerosis.

WHAT FOR?

The HOPES project has a joint ambition: to create an Operational Plan for Real World Data and chronicity at hospital level, with the aim of reducing the variability of health outcomes.

This Operational Plan will be developed for different therapeutic areas, starting with rheumatology, dermatology and inflammatory bowel disease (immune-mediated diseases) and extending to other areas and pathologies, such as HIV, asthma, migraine, ophthalmology, oncology…

The vision of the HOPES project is:

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By 2025, most patients will be monitored in daily clinical practice with objective parameters and/or Patient Reported Outcomes.

Most hospitals should have integrated tools and systems for quick and easy data entry.

Doctors and patients alike will achieve better results and greater satisfaction.

HOPES members will be recognized for how they document their decisions, rationalize the budget and reduce the variability of health outcomes.

200,000 units of aggregated, longitudinal and anonymized real-world data will be available for specialist analysis.

Permanently change care management, disease course and long-term outcomes for chronic patients.

This Operational Plan will review options for improving care pathways by pathology, dashboards, best practices at the level of structures, health outcomes and technological alternatives, such as platforms interoperable with hospital software, in order to monitor and manage care pathways that generate dashboards and aggregate anonymized data for the analysis of real world data. Solutions will be proposed and best practices, recommendations and concrete examples of hospitals that have already implemented them, actions to improve the quality of care and the use of objective data for clinical variability reduction.

The ultimate goal is the implementation of concrete steps to reduce the variability of health outcomes between physicians, between hospitals and between regions and to enable easy and continuous analysis of health outcomes in the real world, thus improving the quality of care.

Therefore, a roadmap will be prepared containing the steps that should be taken in order to implement all the conclusions obtained.

Why?

The healthcare ecosystem does not have structured data and health outcomes that would allow the application of data analytics models, measuring efficiencies, comparing resources used and health outcomes obtained.

On the other hand, there is evidence of a certain variability of health outcomes between hospitals, regions and countries that has not been systematically quantified. There is a need for teamwork between the different players in the healthcare ecosystem to optimize its functioning and speed up the adoption of best practices.

The systems

The information within healthcare systems is fragmented and divided into information silos whose interoperability is, to date, very complicated. In addition, electronic medical records do not usually collect key health outcome indicators in a parameterized way and, as a consequence:

  • They are not able to measure the health outcomes of their population.
  • They are not able to assess the cost-effectiveness of the drugs they purchase.
  • They do not allow you to establish specific health plans for your patients.
  • As they are heterogeneous, they do not have a vision of how other health systems in their environment (not even in the same country) are performing.

The patients

  • They are unable to interact technologically with their health systems.
  • They are unable to send telematic information relevant to the follow-up of their disease (Patient Reported Outcomes-PROS).
  • They cannot benefit from the dose adjustments that adequate monitoring with objective indicators would provide.
  • They do not benefit from personalized medicine (predictive).

Physicians and other healthcare professionals

They have a high pressure of care, a responsibility to internal corporate systems and, in addition, most of them manage personal research and communication projects externally to the corporate systems. These external systems can facilitate their management and research/communication capabilities, but they will require double data entry if there is no interoperability.

Therefore:

  • The high pressure of care and lack of time, together with the current structure of information systems, makes it difficult to collect health outcomes data in a consistent manner.
  • It is difficult to measure disease control rates with the frequency recommended by scientific guidelines and recommendations.
  • Plans to evaluate the level of compliance with these guidelines have not yet been implemented.

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