Continuity of care within and across borders
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Continuity of care within and across borders. Lăcrămioara STOICU-TIVADAR President, Romanian Society of Medical Informatics. Challenges for European Health Systems. Demographic changes : more people will require prolonged care Increased prevalence of chronic diseases :

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Continuity of care within and across borders

Continuity of care within and across borders

Lăcrămioara STOICU-TIVADAR

President, Romanian Society of Medical Informatics


Challenges for european health systems

Challenges for European Health Systems

Demographic changes:

more people will require prolonged care

Increased prevalence of chronic diseases:

substantial part of the overall healthcare costs

Citizens’expectations and demands for high-quality care

Inadequate safety standards and quality control:

medical accidents

Inefficiencies and staff shortages

Reactive model of healthcare delivery:

treatment after appearance of symptoms

Rising healthcare costs:

faster than the economic growth itself


Continuity of care within and across borders

EU

  • Costs Quality of care

    • EU 2020 Strategy  Sustainable growth

  • Strategy “to deliversustainable economic and social benefitsfrom adigital single market”

  • the EU could gain 4% of GDP by stimulating fast development of the digital single market by 2020* 

  • *Monti Report, Report to the President of the European Commission: A New Strategy for the Single Market at the Service of Europe’s Economy and Society


Continuity of care within and across borders

EU

Increased life expectancy and the consequent increase in the prevalence of chronic illnesses pose serious challenges to the sustainability of the national health systems in Europe.

80 million senior citizens - population aged between 65 and 80 + years in Europe (EU-27) today

a doubling of this figure forecasted by 2050

the life expectancy is rising on average by 2.5 years per decade and the number of aged over 80 is expected to grow by 180% by 2050

(Eurostat, 2010)

e-Health - part of the solution, creating the basis for seamless care


Changes

Changes

  • in healthcare delivery

  • in how medical knowledge is managed & transferred in clinical practice

    • new care delivery models


Ehealth actions in digital agenda for europe

eHealth actions in Digital Agenda for Europe

2.7.2. Sustainable healthcare and ICT-based support for dignified and independent living

KA 13: Undertake pilot actions to equip Europeans with secure online access to their medical health data by 2015 and to achieve by 2020 widespread deployment of telemedicine services;

KA14: Propose a recommendation defining a minimum common set of patient data for interoperability of patient records […] by 2012

Foster EU-wide standards, interoperability testing and certification of eHealth systems by 2015 through stakeholder dialogue


Ehealth actions in digital agenda for europe1

eHealth actions in Digital Agenda for Europe

from


Focus on

Focus on

  • Improved illness prevention/prediction and safety of care

  • Personalized healthcare (management and care)

  • Continuity of care – home care (outside the institution)


Strategic research

Strategic Research

  • Personal Health Systems

  • Patient Safety

  • Virtual Physiological Human


Is eu prepared for cc

Is EU prepared for CC?

http://ehealth-strategies.eu/


Continuity of care within and across borders

http://ehealth-strategies.eu/


Continuity of care within borders

Continuity of care- within borders -

Continuity of care is the process by which the patient and the physician are cooperatively involved in ongoing health care management toward the goal of high quality, cost-effective medical care.

the patient's experience of a 'continuous caring relationship' with an identified health care professional.

for providers in vertically integrated systems of care is the delivery of a 'seamless service' through integration, coordination and the sharing of information between different providers.


Research to support continuity of care

Research to support continuity of care

  • Improved productivity of healthcare systems

    • better management of chronic diseases at the point of need

    • quicker transfer of knowledge to clinical practice

  • Continuous and personalised care solutions

    • participation of patients in care and prevention processes

    • respond to the needs of elderly people

  • Savings in lives and resources - focus on prevention and prediction of diseases

  • Higher patient safety - optimise medical interventions and prevent errors

  • New ICT-based environments for biomedical research and predictive medicine - push technology boundaries: grid computing, modelling& simulation

  • Industrial leadership

    • European eHealth and medical imaging/devices industry

    • attract pharmaceutical research back in Europe


Background

Background

  • Healthcare organizations face critical barriers to data-drivenoranalytic care decisions:

    • siloed data,

    • large amounts of unstructured data

    • even paper-based records,

  • and a focus on using data primarily for business reporting rather than medical decisioning.

  • Data is not organized around patients across the continuum of care with specialties and practice areas keeping their data separate.

  • Claims data is often the only data managed effectively and electronic medical records are just beginning to become common. If analysis is being done it is almost certain to be financial analysis.


Background1

Background

  • the patient data is still a passive resource

  • rich, coherent, integrated picture of a patient

  • help identify patients at greater than average risk and to ensure earlier intervention.

  • recommended treatment plans can be compared with treatments received and the patients who need to complete additional treatments identified.

  • Risk factors can be identified for diseases and conditions.


Ict smart solutions and added value

ICT smart solutions and added value

  • a new, active diagnostic tool for medical professionals - algorithms that predict how likely a particular patient is to develop a disease

    • for expensive, chronic diseases like heart disease or diabetes, such predictions can be hugely valuable.

  • Adding a new tool to clinicians besides their own observations and on evidence-based guidelines: they can get automated assistance to prioritize or identify patients at risk of developing diseases or complications — keeping someone well not simply curing someone sick.


Solutions and added value

Solutions and added value

  • Algorithms can be developed based on the historical information to calculate the risks for a specific patient based on their information.

  • Taking all the historical data collected for a population, the risk factors can be identified and weighted.

  • Data mining can segment patients into different groups and then find the critical predictors for each group.

  • An algorithm that can be run automatically to give each patient a risk factor when they check in or when treatment is begun so the medical decisions can be driven effectively by that risk.


Solutions and added value1

Solutions and added value

  • For every patient admitted for coronary artery bypass surgery, a risk assessment based on patient characteristics is conducted and compared to empirical facts.

  • The risk score that results gives the patient a statistically sound yardstick that describes the chances of mortality or possible complications during the medical treatment

  • Data-driven care decisions


Solutions and added value2

Solutions and added value

  • Mayo Clinic

    • an additional algorithm to detect brain aneurysms in the processed images.

    • the algorithm predicts how likely it is that the images show a brain aneurism.

    • the solution generated a 95 percent accuracy rate in detecting aneurysms, compared with 70 percent for manual interpretation—a 25% improvement

    • added to the improved clarity of images, this represented a significant improvement in patient outcomes.


Solutions and added value3

Solutions and added value

  • New born babies before term

    • The application ingests a constant stream of infant physiological data - heart rate and blood oxygen saturation level, along with related clinical information.

    • Predictive analytic models can be developed using data from any source.

    • Encapsulating the expertise—the intelligence—of physicians and nurses in this system allows it to focus precisely on the information needed to make better clinical decisions.

    • By detecting potentially life-threatening infections up to 24 hours earlier, the solution will deliver life-saving value and improve medical decisions in real time


Home care

Home care


Ambient assisted living aal

Ambient Assisted Living (AAL)

  • An extension to home-care monitoring, in order to provide a better quality of life - the mobile solutions for chronic patients - were added to local existing applications

  • Devices and home appliances are made more accessible to persons with special needs (cognitive disabilities and older persons):

    • smart devices,

    • intuitive interaction between persons and devices

    • new technologies and standards


Interoperability

Interoperability

remote delivery mechanism,

proven capability to integrate with a wide variety of EMRs - a vey complex process to connect EMRs

provides an end-to-end solution that can overcome the challenges of integrating

the subscription-based model and scalable platform allows the flexibility to extend services over time to more practices, and connect with the broader community


Interoperability1

Interoperability

“Interoperability is the only technical problem in telehealth; the other challenges are not technical"

Gerard Comyn, EC, DG ICT for Health

easy connection between software applications and between software applications and devices

wireless body or environmental sensors


Continuity of care across borders

Continuity of care - across borders

  • 28 February 2011 - the Council adopted a healthcare directive for both intra-European and “cross-border” applications

    • the legislation designed to strengthen patients’ rights substantially

  • The basic principle:patients are entitled to the same amount of reimbursement in the country that provides healthcare as they would receive in their native country.


Continuity of care across borders1

Increased mobility of citizens and patients

“Europe needs a shared medical record to ensure the continuity of care and to deliver a “seamless service” across borders, through the sharing of information, co-ordination and integration between different providers.

Having one professional record and one patient record would lead to better continuity of care and decreased costs.”

Continuity of care across borders

Professor Eric Lepage, EPR Director for Assistance for Public Hospitals of Paris

e-Health Week, Budapest 2011


Continuity of care across borders2

Continuity of care across borders

cooperation between member states in the field of healthcare has been strengthened

in the field of e-health and through the development of a Europeannetwork which will bring together, on a voluntary basis, the national authoritiesresponsible for e-health;

rare diseases, where the Commission willhave to support member states in cooperating in the field of diagnosis and treatmentcapacity;


Continuity of care across borders3

Continuity of care across borders

epSOS enables continuity of care across national borders

30,000 healthcare professionals

183 hospitals,

2,149 pharmacies

1,113 point-of- care or general practice clinics.

(EH issue 02, 2010: ‘Crossing frontiers in e-health’)


Romanian society of medical informatics

e-Health

Interoperability

Assisted Ambient Living and Welness

Medical imagistics

Tissue engineering

Data mining

Augmented reality in healthcare

Bioinformatics

Mobile applications

Personal healthcare systems

Signal processing

Education

Romanian Society of Medical Informatics


Simimed

SIMIMED

HIS module

TUC-N, Pixeldata

SIMIMED

HIS

Server

HIS Admin

HIS DB

(MS SQL Server 2008)

Web Browser

ASP.NET

IIS

WCF

HTTPS

HIS Client

HTTPS

Client Application

ADO .NET

TCP

HL7

HL7

Datacenter module

SIMIMED

Datacenter

HL7

HIS DB

(MS SQL Server 2008)

Web Browser

Statistics

HTTPS

I

I

S

ADO .NET

TCP

Web Browser

Administration

HTTPS

  • Besides the support for administrative tasks, SIMIMED application focused on clinical activity, a domain less exploited in the current existing hospital information systems.

  • Benefits

    • creating knowledge – based management and having decision support, as an indispensable tool for information management and also an efficient solution for quality improvement, removing errors and delays, and promote efficiency of all activities.

    • Implementing standards in the system helped reaching the previously set targets.

Sistem integrat de management al informaţiilor medicale utilizând standardul HL7


Home care smart solution teleasis

Home care smart solution - TELEASIS

Continuity of care

Patient empowerment


Ict solution supporting continuity of care in children healthcare services

ICT Solution Supporting Continuity of Care in Children Healthcare Services

Mihaela Vida, PhD student Oana Lupșe, MSc student


Smarter clinical procedures

Smarter clinical procedures

  • connecting medical databases to a medical decision system –Egadds - and creating a service for extracting the necessary information that is transferred based on HL7 CDA standard from multiple databases

Valentin Gomoi, PhD student

Mihaela Vida, PhD student


Optimizing clinical pathways for cardiology nursing

Optimizing clinical pathways for cardiology nursing

A mobile EMR system will improve the legibility of clinical notes, will provide decision support for drug ordering, including allergy warning and drug incompatibilities. The system model proposed will supply a set of reminders to prescribe drugs or administrate them. Using a standard format for the lab results, will allow implementing the warnings for abnormal results.

Romina Pintea, PhD student


Cell spreading on biocompatible materials studied by computer simulations

Cell spreading on biocompatible materials studied by computer simulations

Results of tissues engineering studies can be

incorporated in patient‘s EHR for compatibility

reasons

Andreea Robu, PhD student


Regional data mining

Regional Data mining

The data from the information systems of the hospitals are first converted into XML format, according to HL7 CDA standard and they are then saved in a database through webservice calls. The centralized data are then transformed into ARFF format, and analyzed with the data miningprogram WEKA, in order to extract new knowledge.

Raul Robu, PhD student


Education

Education


Education master siis

Education – Master SIIS

Domain: System engineering

Faculty of Automation and Computers

3 semesters + 1 semester diploma project


Continuity of care within and across borders

SIIS

  • Electronical Healthcare Record

  • Bioinformatics

  • E-Health applications

  • Software project management in healthcare

  • Assisted decision in healthcare

  • Medical imagistics

  • Human-computer interaction in healthcare

  • Methods and communication in healthcare

  • Fundamentals of biological systems and medical informatics

  • Fundamentals of IT

  • Communication in healthcare networks

  • Data bases in healthcare

  • Software applications development in healthcare

  • Clinical systems

  • Medical equipments

  • Resources management in healthcare


Education master siis1

Education – Master SIIS

SIIS


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