Digital Health: Revolutionizing Healthcare Through Technology

Are you still struggling to find weight-loss recipes? Are you still running alone for exercise? Are you still searching for your last health checkup report? With the advent of the big data era, your health activities can now be digitized. Physical exercise, scientific dieting, body monitoring, and health consultations are no longer daunting challenges. As information technology converges with life sciences, the digital healthcare industry is regarded as one of the most promising sunrise industries of the 21st century.

NumberDefinition and Characteristics of Healthcare

eHealth applies “cost-effectiveness, information security, and communication technologies” to health and health-related fields. mHealth is a component of eHealth, primarily referring to the delivery of healthcare services through mobile technologies such as smartphones, tablets, and personal digital assistants.

“Digital health” encompasses both “e-health” and “m-health.” It represents the integration of digital technologies with healthcare, closely intersecting with health, medical care, daily life, and society. In modern contexts, “digital health” is typically defined as a new healthcare model that applies internet and computer information technologies throughout the entire healthcare delivery process.

As a product of the digital revolution, “digital health”’sFeaturesYes: mass production; the widespread use of digital logic circuits and their derivative technologies, including computers, digital cellular phones, and the Internet. In summary, it is characterized by four key features: digitization, networking, informatization, and personalization.

In his article “The Creative Transformation of Medicine: How the Digital Revolution Will Create Better Health Care,” Dr. Eric Topol clearly outlined many aspects of the digital health fieldKey ElementsDr. Topol believes that several key elements collectively constitute “digital health,” including wireless devices, hardware, sensors, software sensing technologies, microprocessors and integrated circuits, the Internet, social networks, mobile/cellular networks and local area networks, health information technology, genetics, and personal genomic information. However, “digital medicine” is not merely a simple aggregation of these elements; rather, it is an emerging scientific discipline arising from the interdisciplinary integration of information technology, digital technology, communication technology, and microelectronics within the field of medicine.



According toJ. Craig VenterFrom this perspective, humans are essentially specialized software devices carrying genetic material (DNA), and there is no fundamental difference between digital code and the genetic code. Digital code is a binary encoding consisting of 0s and 1s, while the genetic code is composed of four basic nucleotides: A, C, G, and T. Based on this, Dr. Topol proposed, “If conversion between these two systems can be achieved, it would amount to successfully digitizing human beings.”

In 2011, Richard Resnick delivered a talk titled “Welcome to the Genomic Revolution” at TED in Boston, USA. He stated that the low cost and high speed of genome sequencing would disrupt existing healthcare models, including health insurance and government regulations.

NumberMedical Applications

Digital healthcare comprises digital medical devices, application software systems, information management systems, telemedicine, and other components. Its primary applications include:

• Electronic Medical Record




• Home Ward




• Mobile Outpatient Clinic




• Medical Imaging and Clinical Laboratory Testing

NumbersMedicalActiveImpact

“Digital healthcare” enables individuals to efficiently track, manage, and improve their own and their family members’ health. It also helps enhance service efficiency, broaden communication channels, reduce medical costs, and promote personalized and precise medication use.

Countries are striving to leverage “digital health” to enhance the safety, quality, and efficiency of healthcare services, by creating a more robust digital health information system through information technology and clinical collaboration. The following are the positive impacts of digital health:

•Reduce Waiting Time

The commonly observed scenario is that emergency departments are becoming increasingly overcrowded, while physicians, stretched thin and unable to cope, fail to provide patients with timely medical care.

Conventional wisdom holds that the volume of emergency patients is unpredictable. However, with the advent of “digital healthcare,” hospitals can now leverage emerging software solutions to forecast the number of incoming emergency patients, their specific medical needs, and patient admission and discharge volumes.

By importing historical hospital data into these digital tools, we can accurately predict daily admission rates and emergency department demand. These digital health software solutions facilitate bed management, physician scheduling, and emergency care coordination, thereby reducing patient wait times and enabling smoother, more efficient hospital operations.

•Advancing Pharmaceutical R&D

“Digital healthcare” is a new approach to drug development. By leveraging novel digital devices, it can rapidly and accurately provide critical information, thereby accelerating innovation in drug development and biological experimentation.

Digital healthcare can leverage information technology to assess an individual’s health status, including heart rate and blood pressure, medications taken and associated responses, treatments received and post-treatment outcomes. These health data are ultimately transmitted to medical research and other supporting institutions, providing data support for their clinical studies.

Certain experimental procedures, if performed manually, are highly time-consuming; therefore, researchers are seeking new technologies to automate these processes and reduce experimental turnaround time. A medical institution in Australia has developed an automated image analysis software package capable of automatically measuring and characterizing the morphology and traits of individual cells under varying conditions, observing their critical functions, and providing rapid, reproducible testing for drug development. The software can generate two-dimensional microscopic images, assisting researchers in biotechnology and pharmaceutical companies with target identification, compound screening, and pathway analysis, thereby advancing neuroscience research in universities, research institutes, and hospitals.

Compared with manual or semi-automated methods, digital medical devices can provide more objective, reliable, and reproducible research results. Therefore, “digital health” can help medical researchers gain a more comprehensive and intuitive understanding of disease mechanisms, identify more effective and safer therapeutic drugs, and drive the advancement of pharmaceutical sciences.

•Expand Healthcare Access Channels 

Our healthcare system is under increasing strain. The growing prevalence of chronic diseases and an aging population are driving a continuous rise in medical demand. Meanwhile, many rural and remote areas suffer from limited access to care, making it difficult for residents to obtain high-quality medical services, which results in high hospitalization rates and suboptimal treatment outcomes.

How to closely integrate the Internet, mobile technologies, and digital healthcare to improve service quality and health outcomes has become a focal point for many industry professionals. Technologists and experts are dedicated to developing digital health products that facilitate hospital resource management, enhance patient health status, and increase service efficiency.

To develop “digital healthcare,” particular attention should be paid to the following points:

How to Provide Advanced Medical Services and Equipment to Clinicians and Patients in Rural and Remote Areas;

How to Conduct Home-Based Health Monitoring and Risk Prediction for Chronic Diseases;

How to Leverage Mobile and Internet Platforms to Deliver Rehabilitation and Outpatient Services.



•Resource Sharing, Efficient Management 

Currently, medical data lacks a standardized format, and different health records often employ varying terminologies to describe the same medical concepts, posing significant obstacles to the integrated management of electronic medical data.

To overcome data integration challenges, certain institutions have developed “Digital Platforms for Medical Records” that adjust existing electronic health records by converting standard terminologies into a unified format. This platform adopts international standards for medical data to define the meaning of clinical terms, enabling the use of consistent medical concepts during data collection and entry. It also incorporates expert and local terminologies into the international standard terminology repository, supporting the coding of drug strength and quantity information. Furthermore, the “Digital Platform for Medical Records” can access and utilize resources from Health Level Seven International (HL7) and other relevant organizations, bringing healthcare professionals together to support the classification of medical records, the expansion and sharing of medical terminologies, and more.

Many patients find it impractical to carry their physical medical records with them on every hospital visit, often leading to the repeated purchase of new record books—particularly when visiting different hospitals. Over time, a patient may accumulate more than ten such booklets. If initiatives such as electronic medical records (EMRs), personal health archives, and integrated hospital ID cards are effectively implemented, enabling record sharing and information interoperability among major hospitals through informatization, then “digital healthcare” will significantly enhance hospital management efficiency. Digitized health records also help reduce medical costs.

Digital healthcare systems can also reduce medical errors. For instance, some systems incorporate review functions for contraindications and medication dosages, which help prevent prescription errors caused by physician oversight and ensure medication safety.

• ImplementationDataVisualization

Basic applications of data visualization include flowcharts, maps, tables, and line graphs. While these visualization techniques are widely used and well-established, they no longer meet the needs of big data researchers. Big data researchers, together with governments and enterprises, are confronting one of the world’s greatest challenges: managing massive volumes of data.

With the advancement of information technology and the continuous updating of medical knowledge, the total volume of data is growing increasingly large, and its structure is becoming more complex. Data in its raw form contains a wealth of valuable latent information; however, without proper processing and refinement, it is difficult for researchers to conduct analytical studies, let alone derive accurate details and correct conclusions.

Data visualization technologies, such as 3D computational models, have injected new vitality into the field of big data research. Scientists can explore new research domains, process data more extensively, and do so at unprecedented speeds. By combining visualization with automated analytical methods, data matching becomes faster and more efficient. Users can visually monitor every step of data collection, computational execution, and analytical research. This ranges from the visualization of one-dimensional information, such as critical electrophysiological data including electrocardiography (ECG) and electroencephalography (EEG); to two-dimensional information, such as medical imaging data from CT, MRI, color Doppler ultrasound, and digital radiography (DR); and further to three-dimensional visualization, even extending to four-dimensional information, such as real-time dynamic 3D displays of the heart. These advancements have significantly enriched diagnostic techniques for physicians, ushering medicine into a new era of visualized information.

NumberCurrent Status and Development Prospects of Healthcare

In the United States, venture capital investment in the digital health industry reached $4.1 billion in 2014, a year-on-year increase of 125%. Although there are signs that the growth rate of investment in the digital health sector is slowing down in 2015, the total investment volume continues to climb. Notably, total investment in the digital health industry has far exceeded that in traditional healthcare and medical devices during the same period.

In China, the digital health industry secured approximately $700 million in venture capital investment in 2014, spanning sectors such as e-commerce, online medical consultation services, and disease management apps. With the advancement of internet and mobile technologies, China’s digital health market is poised for continuous expansion to meet the healthcare needs of its 1.3 billion people. According to forecasts by the Boston Consulting Group, digital health expenditure in China is projected to surge from $3 billion in 2014 to $110 billion by 2020. Driven by this immense market potential, China’s healthcare model is set to undergo significant transformation.

China’s digital healthcare industry is flourishing, with disease management and doctor-patient communication modules already taking shape. Major digital enterprises such as BAT are entering the healthcare sector, playing a pivotal role in shaping the landscape of the digital healthcare market.

Currently, digital healthcare has indeed transformed the work patterns of medical professionals. In the future, new technologies will penetrate deeper into health management, serving a broader range of recipients—including individuals and community households—and may even reshape the entire health service delivery model. Only by continuously deepening our understanding of digital healthcare can its widespread adoption be realized sooner.

Text | Chen Kun

Editor: Huang Jia