Artificial Intelligence in Healthcare: The Digital Transformation Reshaping Patient Care. Is Bulgaria Ready to Catch Up?

In an era where technology is fundamentally overturning the way we live, communicate, and work, healthcare is also undergoing a profound transformation. Electronic healthcare—or eHealth—is no longer just a modern concept; it is a necessity that is becoming a strategic priority for countries worldwide.

Over the past decade, the digitalization of healthcare has undergone a significant transformation, driven by rapid technological progress and increasing societal demands for more accessible, efficient, and sustainable health services. At the heart of this transformation lies the integration of Artificial Intelligence (AI) with electronic healthcare—a process that not only modernizes health systems but also lays the foundation for a new paradigm in medical care. The application of AI in healthcare promises more precise diagnostics, individualized treatment, predictive medicine, and optimized administration of health services.

Technologies Shaping the Future

The drivers of electronic healthcare consist of several key technologies:

• Artificial Intelligence (AI) – improves diagnostics, predicts diseases, and personalizes treatment. AI achieves 89% accuracy in diagnosing skin cancer (Nature, 2022), and AI algorithms reduce diagnostic errors by up to 30%;
• Internet of Things (IoT) – Over 320 million wearable devices for health monitoring are in use in 2024 (IDC), allowing for 24/7 patient monitoring. They are primarily used for diabetes, heart disease, and rehabilitation;
• Blockchain – ensures the security and traceability of medical records. There are more than 40 pilot projects in healthcare across Europe (OECD, 2023), such as the Estonian eHealth Blockchain for data protection;
• 5G – provides a reliable connection for telemedicine and remote training through AR and VR. Real-time telesurgery has already been tested in China and Germany, while AR/VR in medical student training is gaining popularity in the US and South Korea.

“Technology is only a tool. The real goal is healthcare that is faster, smarter, and more human,” says Dr. Eric Topol, a leading American cardiologist and author of Deep Medicine.

A number of technology giants are creating numerous innovative solutions based on generative artificial intelligence to assist clinicians in their daily work, facilitate interaction between different health institutions, and shorten the time for processing and analyzing patient information. These solutions are being applied in several countries and health systems, including the US, Canada, Germany, and the UK, and are already showing significant results in reducing administrative burdens and improving the quality of medical services.

Globally, AI finds broad and diverse applications across various healthcare sectors:

• Electronic Health Records (EHR) are being enhanced with generative AI functions, allowing for the automatic summarization of patient data and the primary completion and structuring of clinical notes to save time;
• Medical Image Processing: AI algorithms analyze X-ray, MRI, and CT images, assisting in rapid diagnosis and disease prediction;
• Predictive Analytics: AI models use demographic and genetic data to predict disease risks and treatment outcomes;
• Patient Monitoring: Through wearable devices, AI agents monitor conditions in real time and send notifications for deviations from the norm;
• Optimization of Administrative Processes: Automation of scheduling, billing, patient inquiries, writing prior authorizations, etc.;
• Drug Discovery: AI analyzes vast databases of chemical and clinical data for new therapeutic possibilities;
• Virtual Assistants and Chatbots: Assist in preliminary assessments, answer questions, and provide reminders for medication intake or appointments;
• Mental Health Support: Chat-based AI applications for treating anxiety and depression, including CBT approaches, such as Wysa, Woebot, and others.

In the field of diagnostics, for example, machine learning algorithms are used that can recognize disease patterns with accuracy comparable to or even higher than that of specialists. The most prominent example of this is the use of AI in radiology. Algorithms trained on vast databases of medical images are used to identify tumors, fractures, lung diseases, and other pathological changes. These technologies reduce the risk of omissions, accelerate diagnosis, and enable doctors to focus on interpretation and treatment.

In oncology, AI assists oncologists by analyzing biopsies and images, detecting microscopic changes that might be overlooked by the human eye. In ophthalmology, AI-based systems are used for the early detection of diabetic retinopathy and other eye diseases through the analysis of retinal photographs. Cardiology also benefits—automated AI analyses of ECG graphs and echocardiograms allow for the early detection of arrhythmias, heart attacks, and other cardiovascular conditions.

In the field of predictive medicine, AI uses algorithms to forecast diseases and adverse events based on massive datasets—genetic profiles, behavioral data, information from wearable devices, and electronic health records. For example, by analyzing long-term data, AI can identify patients at high risk of developing type 2 diabetes or cardiovascular diseases and suggest personalized interventions. This enables the application of preventive medicine, which can save lives and reduce healthcare costs.

Artificial intelligence is also entering the sphere of health service management. Administrative processes, which traditionally consume significant human resources, are now being automated through AI solutions. This includes automated scheduling, processing of invoices and insurance claims, and management of medication and medical supply inventories. Additionally, AI-based chatbots and virtual assistants support patient service by providing information, reminders, and guidance regarding their health status and therapies.

In the field of pharmaceuticals and biomedical research, AI accelerates the process of discovering and testing new drugs. Instead of relying solely on traditional laboratory experiments, companies use algorithms that simulate interactions between molecules and predict the potential efficacy and side effects of new compounds. This not only shortens the time to market for new medications but also significantly reduces research and development costs.

AI Agents are capable of creating summaries of clinical meetings, suggesting possible diagnoses based on symptoms and medical history, generating treatment recommendations, and even preparing administrative documents. This leads to greater efficiency in the work of medical staff and better interaction between different departments and institutions.

Constantly evolving electronic health platforms will include increasingly powerful AI features—automatic document completion, voice commands for accessing patient information, intuitive data extraction from various systems, and the possibility for personalized interaction with each patient. This will be a step forward toward creating a holistic, intelligent, and interconnected health system.

Europe – Digital Infrastructure at the Service of Health

The European Union is establishing itself as one of the global leaders in the development of electronic healthcare. In 2018, an ambitious eHealth Action Plan was adopted, setting three main priorities: access to health data for all citizens across the EU, building a common infrastructure for personalized medicine, and empowering patients through digital tools.

“Patients must be at the center of health systems. Digitalization is not just technological progress—it is the key to fairer and more efficient healthcare,” emphasizes Stella Kyriakides, EU Commissioner for Health and Food Safety.

Statistics (EU):

• 85% of hospitals in Scandinavia use electronic prescriptions (European Commission, 2023);
• 71% of patients in the EU want digital access to their medical history (Eurobarometer);
• €810 million is the planned funding under the Digital Europe Programme (DEP) for health technologies (2021–2027).

Estonia is emerging as a pioneer in this field. With a 100% digitalized health system, Estonians have electronic prescriptions and health records accessible anywhere and at any time. Denmark and Finland are also on the front lines—the former focuses on telemedicine and mobile health applications, while the latter integrates artificial intelligence into risk prediction and treatment personalization.

A Unified Europe of Health Data

In its efforts for connected and sustainable healthcare, the EU is working on building the European Health Data Space (EHDS)—a space for the exchange of health data between member states. Additionally, the eHealth Digital Service Infrastructure (eHDSI) facilitates cross-border access to electronic prescriptions and patient records, while European Reference Networks (ERNs) connect leading specialists from across Europe for the treatment of rare diseases.

“Data is the new fuel for innovation. But to extract the maximum potential from it, we must ensure ethics, security, and transparency,” comments Ursula von der Leyen, President of the European Commission.

Asia – A Dynamic Market and Technological Laboratory

On the other side of the world, Asia is demonstrating explosive growth in the sphere of eHealth. Driven by massive populations, technological maturity, and the need for affordable medical solutions, countries in the region are becoming laboratories for innovation.

With rapidly growing populations and advanced technological ecosystems, Asian countries are pioneers in areas such as telemedicine, AI, and blockchain in healthcare.

Statistics (Asia):

• China – the eHealth market is expected to reach $311 billion by 2030 (McKinsey);
• India – over 500 million users of digital health platforms by 2027 (Statista);
• Japan – investments in health robotics exceed $1 billion annually.

China is the leading market, with giants like WeDoctor combining telemedicine, electronic prescriptions, and even health insurance into a single platform. In India, Practo connects millions of patients with doctors via a mobile app, while in Japan, UBIE uses AI to diagnose rare diseases. Singapore impresses with the implementation of blockchain in health data management and platforms like DocDoc, which use artificial intelligence to find the most suitable specialist for each patient.

“In Asia, we don’t just apply technologies—we create them. Our focus is on speed, scale, and accessibility,” notes Jack Cheng, Innovation Director at Ping An Good Doctor.

Development is Not Without Challenges

Of course, the widespread introduction of AI in healthcare is not without challenges. One of the primary concerns is the protection of personal information. Health data is extremely sensitive, and any system processing it must meet high standards of security and confidentiality. This includes both technological measures—encryption, access control—and regulatory ones—compliance with regulations like GDPR in the EU or HIPAA in the US.

Another important aspect is so-called interoperability—the ability of different systems to “talk” to each other. With multiple service providers, hospitals, laboratories, and insurers, the lack of compatibility between systems leads to duplication of information, errors, and delays. For AI to be effective, it must have access to unified, standardized, and structured data.

Ethical issues also occupy an important place in the discussion. Who bears responsibility if an AI system makes a mistake? What happens if a patient refuses a recommendation from an automated system? How can it be guaranteed that algorithms do not reproduce existing social or racial inequalities? It is because of these questions that initiatives like FUTURE-AI are being developed, offering guidelines for creating ethical, transparent, and fair AI systems.

E-healthcare Bulgarian Style: A Digital Illusion on Paper?

When the Ministry of Health solemnly announced the start of the National Health Information System (NHIS) in 2020, it sounded like a promise of a new era—modern, digital, and finally patient-oriented. “Electronic prescriptions, electronic referrals, a full health record—everything will be on your phone,” the government at the time assured. Four years later, the reality looks different: the system is cumbersome and often inaccessible to the average patient.

At first glance, digitalization is progressing. On paper, electronic healthcare in Bulgaria exists. According to official data, tens of millions of electronic prescriptions, referrals, and sick leave certificates have been issued. But behind these statistics lies another reality—most citizens have no idea how to access their electronic health record. To gain access, a patient must visit one of the institutions to register or possess a qualified electronic signature—something unfamiliar to a large part of the population, especially older people. Ultimately, real access is held by less than 10% of the population. Only 6% of patients in Bulgaria have ever logged into their electronic record, according to an internal analysis by the Ministry of Health from late 2023. Official data shows that over 120 million BGN have been invested in the project through European and national programs.

Regarding doctors, the situation is no different. The software for accessing the system is cumbersome, the interfaces are outdated, and when the system crashes, medical specialists are left without an alternative. In February 2023, for example, electronic prescriptions blocked on a national scale. Patients waited at pharmacies, doctors were forced to write by hand, and the explanation was either missing or unconvincing. In such moments, unofficially, a large portion of practices revert to paper—with all the burden and risk of errors that this entails.

The majority of general practitioners believe that the system complicates their work rather than facilitating it. Some doctors, especially in smaller settlements, share that they lose more time fighting the system than actually treating their patients.

The problem is not only technical—it is systemic and administrative. The centralized construction of the NHIS was entrusted to “Information Services” AD, which is responsible for the maintenance and development of the platform, but despite the enormous resources, the results are rather controversial. With every serious crash—like the one in 2023—there is a lack of accountability and clarity. There is no public audit of the invested funds, nor is there an independent analysis.

The company is responsible not only for maintaining electronic prescriptions and referrals but also for critical components like SESPA—the system through which pharmacies report drug inventories and medication shortages are monitored.

In 2023 and 2024, criticism against the state integrator intensified regarding their interference in how drug shortages are calculated in SESPA. Without public consultation or regulatory clarity, the formula by which the system reports whether a particular medication is missing from the pharmacy network was changed. This led to situations where real drug shortages—especially of insulins and oncological medications—are not reported as a problem by SESPA because the modified algorithm does not “see” them.

Representatives of the pharmacy network have repeatedly raised alarms about this—claiming that the system, instead of signaling risks, actually masks the problem through formulas written by IT specialists.

Electronic healthcare should bring transparency, traceability, and convenience. In Bulgaria, however, it increasingly looks like a closed platform with minimal feedback from users—both doctors and patients.

In most European countries, electronic healthcare is built on open standards, with the participation of multiple companies and institutions. In Bulgaria, unfortunately, the system fails to meet the needs of users and medical specialists but continues to consume significant public resources.

The solution does not lie in yet another interface replacement or adding a new menu. A deep reform is needed in the way the state manages its electronic healthcare. This includes truly opening the system to competition, integration with existing solutions and applications on the market, and introducing citizen access without unnecessary barriers.

Until this happens, Bulgarian electronic healthcare will remain a digital illusion—existing on paper but disappearing when needed.

Meanwhile, citizens and doctors pay the price—not only with time and nerves but also with a real decrease in the quality of medical services. The missing integration between hospitals, laboratories, pharmacies, and general practitioners leads to data loss, repeated tests, and a lack of coordination.

Bulgaria continues to be the only country in the EU where access to one’s own health record is almost impossible for the average user.

In Estonia, for example, every citizen can log in with a mobile identifier (Mobile ID) and see their entire health history in real time. In Bulgaria, even specialists do not know what has been entered by colleagues from another hospital.

What can be done? First and foremost—opening the system by applying open standards and allowing various IT companies to build upon it with modular solutions. Next—ensuring easy access for patients, without the need for an electronic signature, through more secure and convenient identifiers. And finally—introducing effective support, training, and the possibility for feedback from the actual users of the system.

Conclusion: Digital Facade, Analog Reality

Bulgarian electronic healthcare is chronically ill—not due to a lack of technology, but due to poor organization. Patients and doctors should not be hostages of the system.

Digitalization should not be just a bureaucratic commitment to the EU, but a real reform for the benefit of society. Otherwise, we will continue to move backward—with an electronic system that crashes and paper prescriptions that work better.

If something does not change soon, we will continue to live with the paradox: we have a digital health system, but it is better to carry the paper with us—just in case.

The future of electronic healthcare inevitably involves the integration of artificial intelligence. The world is moving toward creating health systems that do not just register and store information but actively use it to offer better care, better prevention, and better resource management. The platforms and developments of major tech giants show how AI can become an indispensable assistant to doctors and health administrators. For Bulgaria, the path forward involves targeted investments, political will, and public engagement. Only then can we ensure that modern technologies serve people—in the name of better health for all.

Electronic healthcare is no longer a vision of the future—it is a present that is changing the lives of millions. And the path forward involves international cooperation, bold innovations, and the patient at the center of the system.

As Tedros Adhanom Ghebreyesus, Director-General of the WHO, says:
“Digital health is not a luxury. It is a core element of universal health coverage.”

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Sources:

1. European Commission – Digital Health in the EU
2. McKinsey – The future of healthcare in Asia (2024)
3. WHO – Global Strategy on Digital Health 2020–2025
4. OECD – Health Data Governance
5. Nature Medicine – AI diagnostics in dermatology
6. Statista – eHealth users and market size in Asia
7. Eurobarometer – Digital transformation of healthcare (2023)
8. Ministry of Health – NHIS Report, 2023
9. Operational Programme “Good Governance” – investments in e-healthcare
10. bTV News – Crash in the electronic health system, February 2023