The Socio-Economic Impact of Interoperable EHR and ePrescribing Systems in Europe and Beyond

Article of the Month!

The Socio-Economic Impact of Interoperable Electronic Health Record (EHR) and ePrescribing Systems in Europe and Beyond - Final Report
The European Commission EHR IMPACT study (EHRI) investigates the socio-economic impact of interoperable Electronic Health Record (EHR) and ePrescribing systems in Europe and beyond. Core to the project is a detailed qualitative analysis of eleven good practice cases in Europe, USA and Israel. Nine of these underwent also a quantitative evaluation of their socioeconomic impacts. Each application studied is a sustainable solution in routine operation.

This final report of the EHR IMPACT study addresses the conceptual framework for understanding and interpreting the study results, the study design and approach, and the essence of the impact analysis results.

The study takes a broad perspective of EHRs and ePrescribing. An EHR system can include parts of a comprehensive record, allows limited or extensive sharing of information, or may be part of a particular healthcare provider organisation (HPO) patient record. It usually does not contain all the health-related life-long data about people, often envisaged by grand strategies. ePrescribing is usually part of a wider health information system and often includes information on prescribing policies, clinical decision and dispensing support, advice to patients and carers, and tools to facilitate the processes and roles of each stakeholder needed to convert prescribing decisions into administered medications.

Interoperability is defined as the ability to exchange, understand and act on patient and other health information and knowledge among linguistically and culturally disparate clinicians, patients and other actors, within and across jurisdictions, in a collaborative manner. EHRI distinguishes between three levels of interoperability, which are potential interoperability, limited connectivity, and extended actual connectivity.

The goals of the EHR IMPACT study required an inductive, empirical approach. Two perspectives were applied, the socio-economic, and a narrower, financial one within the socio-economic. This dual perspective in the EHR IMPACT methodology provides a rigorous evaluation of the long-term impacts of interoperable EHR and ePrescribing systems. The case studies provide empirical insights that underpin findings on the socio-economic impact of interoperable EHR and ePrescribing systems and the factors that need to be in place to accelerate their successful deployment.

Download The Socio-Economic Impact of Interoperable Electronic Health Record (EHR) and ePrescribing Systems in Europe and Beyond - Final Report (.pdf, 581 KB).

Download from the eHealthNews.EU Portal's mirror: The Socio-Economic Impact of Interoperable Electronic Health Record (EHR) and ePrescribing Systems in Europe and Beyond - Final Report (.pdf, 581 KB).

For further information, please visit:
http://www.ehr-impact.eu

Related news articles:

About empirica
empirica Gesellschaft für Kommunikations- und Technologieforschung mbH (empirica) has many years of experience in quantitative and qualitative research methods. Its clients are private companies and public bodies: large and medium-sized companies in the insurance, pharmaceutical and automobile industries as well as software developers and hardware manufacturers. There are also telecommunications service companies and network providers, social services firms, medical facilities, Federal and State Government ministries in Germany and the European Commission as well as the European statistical office (Eurostat). For further information, please visit www.empirica.com.

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...