Digital Health
How Is Digital Health Changing the Physician-Patient Relationship?
Bora Güler8 min read
During a clinical encounter, a physician’s attention is no longer shared only with the patient. Electronic health records, patient portals, telemedicine, wearable devices, and more recently AI systems have become visible or invisible third actors in the consultation room.
While this transformation is making healthcare more accessible and data-driven, it also raises an important question:
Is digitalization bringing physicians and patients closer together, or placing another screen between them?
The answer appears to depend less on the technology itself and more on how it is positioned within the clinical workflow.
The patient is no longer simply a recipient of healthcare
One of the biggest changes in the physician-patient relationship has occurred in access to information.
In the past, medical information was largely controlled by physicians and healthcare institutions. Today, patients can access laboratory results, research their conditions, generate health data through smartwatches, and ask AI systems questions about their health.
In Türkiye, e-Nabız is one of the most visible examples of this shift. The system allows tens of millions of users to access their own health records, from laboratory results and prescriptions to radiological images.
This change is making patients more active while also transforming the physician’s role.
The physician is no longer only the source of medical knowledge, but increasingly a guide who evaluates information patients obtain from different sources, places it in context, and makes decisions together with them.
For this reason, shared decision-making is becoming increasingly important in the era of digital health.
Does more data always mean a better clinical encounter?
Easier access to health data is an important advantage for patients. At the same time, digitalization is rapidly increasing the amount of data being generated.
Smartwatches and other wearable devices can now continuously track parameters such as heart rate, sleep, activity, and oxygen saturation.
This information can support clinical assessment in some patients. But continuous measurement also creates another challenge: not every data point is clinically meaningful.
For example, rhythm notifications generated by wearable devices may lead some patients to experience greater health-related anxiety, seek healthcare more frequently, or require additional evaluation.
One of the physician’s future roles may therefore be not simply to collect more data, but to determine which parts of an ever-growing stream of patient data are actually clinically relevant.
The hidden cost of digitalization: physician attention
This is where one of the biggest paradoxes of digital health emerges.
Electronic health records make information more accessible, but they can also require physicians to spend a significant amount of time looking at screens.
And the problem is not limited to documentation during the consultation.
Patient portals and digital messaging systems make it easier for patients to reach their physicians, but they also create a new form of invisible workload. Research has reported that primary care physicians may spend approximately 84–90 minutes per day on electronic messages and inbox-related work alone.
When electronic health record work completed outside regular working hours is added to this burden, digital systems can make healthcare easier to access while consuming physicians’ time in a different way.
At that point, the issue is no longer only physician efficiency.
Time spent looking at a screen can, in some cases, become time taken away from the patient.
Can AI remove the screen between the physician and the patient?
One of the most notable applications of clinical AI in recent years attempts to reverse this problem.
Ambient AI and automated clinical documentation systems aim to prepare the clinical note in the background while the physician focuses on listening to the patient.
The potential benefit is not simply recovering a few minutes.
If physicians can maintain eye contact instead of repeatedly turning to a keyboard, interrupt the conversation less often, and avoid carrying documentation into the period after the encounter, the physician-patient relationship itself may also change.
At Dr.Medkit, the goal is to give time back to the patient
Physicians’ weekly documentation burden can reach 14 hours. In Dr.Medkit’s initial clinical tests, approximately 40% time savings were measured in the documentation process.
But the most meaningful use of that saved time does not have to be fitting as many additional patients as possible into the same schedule. Giving part of that time back to the patient may be one of the more meaningful effects of clinical AI.
But AI also introduces a new actor into the consultation room
The same technology raises another question:
Will patients speak just as openly when they know their conversation is being processed by an AI system?
Clinical encounters can involve sexual health, mental health, domestic violence, and other highly sensitive topics. If patients do not trust the technology or do not understand how their data is being processed, they may avoid sharing certain information.
For this reason, simply making AI as invisible as possible during the consultation is not enough.
Patients should understand what the system is doing, how their data is being used, and, where appropriate, what choices they have. These considerations can be just as important as the technical accuracy of the system.
With digital health, trust is no longer only about the patient’s trust in the physician.
The patient must also be able to trust the technology used by the physician and the way their health data is protected.
Can AI appear more empathetic?
One interesting finding to emerge alongside digital health is that patients can perceive some AI-generated health responses as highly empathetic.
This does not mean that AI possesses more empathy than humans.
A model does not become tired, work through an overloaded clinic, or worry about reaching the next patient on time. It can generate as much supportive and carefully phrased language as needed.
A physician, meanwhile, must simultaneously assess the patient, make clinical decisions, document the encounter, and manage limited time.
So the most useful question may not be “Can AI be more empathetic than a physician?”
A more meaningful question is:
Can technology help physicians devote more attention and time to their patients?
Telemedicine has created a new communication skill
Digital transformation is not limited to artificial intelligence.
Telemedicine has created a new form of clinical communication in which the physician and patient are not physically present in the same room.
This is sometimes discussed in the literature through the concept of “webside manner” — the digital counterpart of bedside manner.
Camera position, eye contact, tone of voice, and even explaining why the physician is looking away from the screen can affect how the encounter is perceived.
For example, rather than silently looking at another screen while taking notes, a physician might say:
“I’m adding what you’ve told me to your record, so I’ll look away from the screen for a few seconds.”
This can help reduce the communication gap created by technology.
This small example illustrates an important point: digital health does not eliminate the importance of communication in medicine. It changes the form that communication takes.
Not every patient experiences the same digital transformation
Digital health systems can improve access to healthcare, but not everyone is able to benefit from these tools equally.
Age, income, education, internet access, and digital health literacy can directly affect a patient’s ability to use telemedicine, patient portals, mobile applications, and other digital services.
For a younger patient who is comfortable with digital tools, viewing laboratory results on a phone may feel completely natural.
For another patient, creating a password, joining a video consultation, or interpreting health information may itself become a barrier.
For this reason, the success of digitalization cannot be measured only by how many healthcare processes have moved online.
We also need to consider which patients technology may be leaving behind.
Is digital health strengthening the physician-patient relationship?
Technology alone does not answer this question.
Electronic health records can pull the physician’s attention toward a screen; well-designed AI systems may help redirect that attention toward the patient.
Wearable devices can increase patients’ involvement in their own health while also creating unnecessary anxiety and data overload.
Telemedicine can make healthcare easier to access while reducing some elements of face-to-face communication.
AI can reduce clinical workload while introducing new questions around privacy and trust.
The central issue in digital health is therefore not how much technology we use, but where we place technology within the relationship between physician and patient.
Key takeaways
- Digital health is turning patients into more active participants who have greater access to their own health data and clinical decisions.
- Electronic records, messaging systems, and continuous data streams can also create new forms of digital workload for physicians.
- One of AI’s most important opportunities is to reduce part of the administrative and documentation burden and return that time to the clinical encounter.
- New technologies also introduce new challenges involving patient privacy, trust, digital inequality, and communication.
- The future of the physician-patient relationship may depend less on how advanced the technology becomes and more on whether that technology takes the physician’s attention away from the patient.
The goal of digital health should not be to place more technology between physicians and patients, but to use technology to create more space between them for meaningful human interaction.
About the author

Bora Güler
CMO · Co-founder · Marketing · Business development
Bora Güler is co-founder and CMO of Dr.Medkit. He writes about how digital health shapes the physician and patient experience, the adoption of health technology, and communication with the physician community.