Purpose: Communicate a company’s activities related to disease awareness, therapeutic offerings, or overall corporate philosophy to healthcare professionals (HCPs), including doctors, pharmacists, veterinarians, and other professionals involved in healthcare.

Examples: Disease awareness projects, Broad-spectrum education initiatives on digital health topics, Projects aimed at raising HCP awareness on topics relevant to their clinical practice, Projects that highlight sustainability (economic and environmental) or other key topics of national interest for HCPs.

This category encompasses all forms of multichannel communication, such as: video, podcasts, and moviemaking, public relations (PR) and brand storytelling, mobile and apps marketing, insight and market research, data-driven marketing, content marketing, branded experiences and events, search marketing, social media marketing, sponsorship and partner marketing. Text and audiovisual content can be developed traditionally or through generative artificial intelligence.

Projects already submitted in categories such as “Improving patient care & healthcare offer” and “Supporting the medical profession” are also eligible in this category, particularly when communication through social media or other digital channels is a dominant aspect of the project.

Purpose: Support medical professionals, including specialists and general practitioners (GPs), in optimizing their clinical practice and daily responsibilities.

Examples: Decision-support software and algorithms to assist in prescribing medications and using medical devices, Digital technologies to facilitate diagnosis, including diagnostic tools and platforms, Clinical practice management programs to streamline administrative tasks and improve efficiency, Digital tools for recognizing and managing drug side effects, reducing the administrative burden of clinical practice through automation and digital solutions, Improvement of physician-patient and physician-family communication, enhancing clarity and empathy, Projects leveraging artificial intelligence, blockchain, virtual assistants, and other innovative technologies to support medical professionals

Purpose: To facilitate and foster clinical and preclinical research through digital tools that support the design, execution, and writing of protocols and manuscripts for clinical studies in the broadest sense: randomized clinical trials, observational studies, real-world data from wearables, decentralized trials, synthetic data, in silico trials, and any other type of study.

Examples: Projects that facilitate one or more aspects of a clinical study: study design, ethical committee approval, funding, patient recruitment, treatment administration, data collection and analysis, and manuscript writing and presentation. Specifically, projects that use digital tools, artificial intelligence and other innovative solutions for processing big data and advanced analytics, synthetic data processing, remote monitoring, models and simulations, digital biobanks, integration of clinical data from various sources, real-time sharing of results, artificial intelligence and machine learning, data security and privacy, etc.

All types of preclinical and clinical research are included (for example, traditional and innovative trials such as RCTs, observational studies, real-world data, decentralized trials, virtual trials, etc.), as well as studies on digital medicines, digital therapeutics, and all other digital health technologies

Purpose: To promote and encourage the digital transformation of corporate structures and their various departments within life science industries, hospitals, and other healthcare entities, through people-focused projects that may involve some or all of the company functions.

Examples: Projects that use innovative technologies to appropriately engage different internal and external stakeholders, facilitate interaction between various corporate functions, and optimize internal resources and their management. Projects promoting digital knowledge and culture; training programs using innovative technologies; projects adopting distinctive approaches to topics relevant to the company in order to create and develop staff engagement. Wide-ranging change management projects focused on some or all company functions

Purpose: Implement various forms of artificial intelligence to facilitate and optimize communication in the healthcare sector among all stakeholders, to develop new training and educational projects, or to enhance existing ones.

Examples: Projects that utilize one or more forms of artificial intelligence to improve one or more aspects related to training and communication in the healthcare field, across all possible areas, including (non-exhaustive list):

• Intra-company communication at all levels.
• Company training at all levels.
• Communication between company staff (medical affairs, marketing, sales, market access, and other client-facing functions) and healthcare professionals.
• Peer-to-peer communication among clinicians and between clinicians and other professionals.
• Doctor-patient communication and all forms of communication between professionals and citizens.
• Physicians and other healthcare professionals training.
• Communication and training from a One Health perspective

Purpose: Promote partnerships between life science industries and other stakeholders in the healthcare landscape, such as startups, scientific societies, foundations, patient associations, institutions, universities, and research institutes, and any other public or private entities.

Examples: Projects that promote the activities of startup companies through funding, acquisitions, and other forms of partnership; public-private and private-private partnerships to promote digital health; projects developed within the framework of the National Recovery and Resilience Plan (PNRR); public awareness projects on crucial topics for the country’s healthcare system; wide-ranging educational projects on digital health topics where the combination of expertise from two or more industrial partners or public administration plays a key role; partnership projects as defined by the 17th Sustainable Development Goal of the WHO. The project description should highlight the importance and key characteristics of the partnership in the development and implementation of the project.

Purpose: To communicate activities related to disease awareness, therapeutic offerings, and corporate philosophy in a broad sense to healthcare institutions, payers, and other governance entities relevant to human and animal health.

Examples: Projects that raise awareness among institutions about topics of crucial importance for the country’s healthcare system and/or specific issues such as rare diseases, disabilities, etc.; projects focused on economic and environmental sustainability and other corporate projects centered on ESG; disease awareness projects; raising payers’ awareness of health needs and the availability of innovative technologies that can reduce healthcare costs and/or ensure optimal care; and raising institutions’ awareness of current or impending issues, as well as prevention policies from which society and the healthcare system can benefit.

All types of multichannel communication are included. For example: videos, podcasts and moviemaking, PR and brand storytelling, mobile and apps marketing, insights and market research, data-driven marketing, content marketing, branded experiences and events, search marketing, social media, sponsorships, and partner marketing. Textual and audiovisual content can be developed traditionally or through the use of generative artificial intelligence.

Projects submitted under the category “ESG Projects” are also eligible to be submitted to this category when the communication aspects of the project, through social and other digital channels, are predominant

Purpose: To promote effective and efficient treatment of diseases by doctors, pharmacists, other HCPs, and payers. To optimize access to new therapeutic solutions and services for citizens and patients at every stage of the patient journey by facilitating availability and access to diagnostic and care facilities and improving the follow-up and overall management of diseases.

Examples: Projects that leverage digital technology to improve patient care through better disease identification, optimized diagnosis, the management and follow-up of drug therapies, and the use of medical devices. Projects promoting the value of healthcare technology from an HTA (Health Technology Assessment) perspective. Collaborative projects involving clinicians, payers, and patients. Projects aimed at quantifying budget spending at various levels (hospital, local health authority, region, etc.). Specific examples include: projects applying artificial intelligence and machine learning to diagnosis and therapy; use of remote monitoring technologies, augmented reality, virtual reality, simulation, 3D printing, and blockchain; projects adapting technologies from other sectors to medical issues; use of advanced therapies, digital medicines, digital therapeutics, and other technologies focused specifically on patient care

Purpose: To implement telemedicine solutions in line with the guidelines of the Ministry of Health, benefiting doctors, other healthcare professionals, patients, payers, institutions, etc.

Examples: All projects that use one or more forms of telemedicine (teleconsultation, telehealth, telecare, etc.) for prevention, diagnosis, treatment, rehabilitation, and monitoring, including: projects that help ensure better quality of care by guaranteeing continuity of care, greater effectiveness, efficiency, appropriateness, and equity of access to healthcare (e.g., in rural and remote areas), and support for drug therapy to improve medication compliance. Projects that assist patients in the therapeutic process and reduce adverse drug events, as well as all other activities where telemedicine plays an important role in improving the quality of care. Any other project in which telemedicine is a key component for success

Purpose: To enhance business processes through digital transformation and 4.0 enabling technologies within the Life Science supply chain across all functional areas (including planning, logistics, production, supply chain, quality assurance, laboratories, regulatory, clinical, pharmacovigilance, safety) of healthcare companies, from research and development to production and distribution, all the way to the point of use in healthcare facilities. The goal is to achieve greater competitiveness, flexibility, sustainability, compliance, productivity, speed, and reliability of the processes, ultimately benefiting patients.

Examples: Digital transformation projects aimed at improving business processes:

• Vertical and horizontal integration of digital systems and 4.0 enabling technologies, automation of machinery, devices, tools, sensors for the collection and processing of production/logistics/quality parameters.
• Dynamic planning and scheduling of initiatives, products, projects, and resources, e.g., for production, laboratories, research.
• Paperless production management and execution, integrated with machinery/sensor networks and other management systems (including ERP, LIMS, QMS, WMS).
• Automation of business processes and documents or business process & content management.
• Logistics and material handling using collaborative robots, automatic warehouses, IoT, etc.
• Management of analytical laboratories (LIMS/LES/ELN), both for research and quality control.
• Management and analysis of scientific data from discovery through execution of analyses in research labs.
• Collection, archiving, and analysis of big data for predictive and adaptive analyses.
• Asset management using innovative tracking tools, including real-time data collection and location, predictive maintenance analysis, etc.

Use of cutting edge technologies, including:

Multitenant cloud (maintenance, serialization, quality assurance, pharmacovigilance, regulatory, production); machine learning and artificial intelligence for data interpretation, decision support for operators and managers; blockchain for distribution traceability, drug sample management for physicians, information sharing with partners and end users; digital twin and simulation for facility and utility design, production and logistics planning scenarios, process optimization; additive manufacturing or 3D printing; collaborative robots for optimizing line operations; augmented and virtual reality, wearable devices, and voice recognition for integration in design, maintenance support, procedure execution, training, etc.

Purpose: Implement artificial intelligence in projects that assist specialists in their clinical practice, from disease diagnosis to treatment planning, monitoring, and throughout all stages of the patient journey.

Examples: Projects that use one or more forms of artificial intelligence to assist specialists in all aspects of their clinical practice, including (non-exhaustive list):

• Development of prevention programs.
• Facilitation of medical consultations, from clinical history to reporting.
• Use of diagnostic tools in all forms: laboratory diagnostics, ultrasound, imaging, CT scans, MRI.
• Therapy planning.
• Therapy monitoring, in both acute and chronic phases.
• Management of actions that can improve patient prognosis.
• Any other situation where artificial intelligence can be useful in improving healthcare delivery and services