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Indian Journal of Pharmacology logoLink to Indian Journal of Pharmacology
. 2026 Jan 7;58(1):24–34. doi: 10.4103/ijp.ijp_452_24

Telemedicine and digital health: The future for pharmaceutical companies and health care

Pathan Azher Khan 1,, Payal Jayendra Badole 1, Darakshan Shaikh 1
PMCID: PMC12880784  PMID: 41498661

Abstract

In today’s fast-paced world, demand for convenient patient care is high, prompting the rise of telemedicine and digital health platforms. These platforms offer quick solutions for health management, aligning with the trend of utilizing online tools for various needs. Integrating these technologies into health care ensures top-notch facilities without disrupting busy lifestyles. This review provides a comprehensive view of their benefits, enhancing patient access and streamlining processes. The paper explores diverse applications such as electronic health records and mobile health apps, empowering patients and enabling real-time decision-making for healthcare providers. It emphasizes the role of big data analytics in managing vast health-related data. Government initiatives and regulatory frameworks are also discussed. Through case studies, the review illustrates the tangible impact of these technologies on patient outcomes and healthcare efficiency. Embracing digital health and telemedicine is crucial for pharmaceutical stakeholders to adapt to evolving patient needs and drive innovation in modern health care.

Keywords: Big data analytics, digital health, electronic health records, regulatory consideration, telemedicine, wearable devices

Introduction

The pharmaceutical sector plays a vital role in digital health and telemedicine by leveraging its expertise in key therapy areas, supporting patient care through digital technologies, and engaging in population health management. This involvement can include supporting links between patients and care, working with early-stage companies, and gathering data for real-world evidence (RWE) generation.[1] The World Health Organization (WHO) defines digital health as “a broad umbrella term encompassing eHealth, as well as emerging areas, such as the use of advanced computing sciences in ‘big data’, genomics, and artificial intelligence (AI).”[2] Digital health has a broad scope and includes using electronic health records (EHRs), telemedicine, mobile health (mHealth) apps/devices, telehealth, wearable devices, medical internet, and cutting-edge digital technology.[3] The global digital health market size was valued at approximately US$211 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 18.6% from 2023 to 2030. In the Indian context, the digital health market is reported to be about US$12.2 billion in 2023 and is projected to reach US$25.64 billion by 2027 with a CAGR of about 20.4%.[4] The digital health market is highly fragmented and is characterized by many small and medium-sized enterprises operating in various segments, such as wearable devices, telemedicine, EHRs, and mHealth apps.[5] For more than 30 years, clinicians, health services researchers, and others have been investigating the use of advanced telecommunications and computer technologies to improve healthcare.[6]

This review examines the intersection of digital health and telemedicine within the pharmaceutical industry. Our objective is twofold: To highlight the transformative potential of these innovative approaches in improving patient care and enhancing population health, to identify existing challenges and barriers to their widespread adoption, and to discuss strategies to overcome them. By exploring the current landscape of digital health and telemedicine in pharmaceuticals, the goal is to stimulate further research, ultimately leading to better health outcomes for all.

Materials and Methods

Data taken from Google Scholar, PubMed, WHO, Cochrane Library, National Library of Biotechnology, and ClinicalTrials.gov, Healthcare Journals.

Digital Health and Telemedicine in Pharmaceuticals

Digital health

Digital Health technology has emerged as a pivotal pillar in the delivery of health care.[7] Digital health is the field of knowledge and practice associated with developing and using digital technologies to improve health. It expands the concept of eHealth to include digital consumers with a broader range of smart devices and connected equipment.

Importance of digital health

According to the Food and Drug Administration (FDA), digital health technologies help providers reduce inefficiencies, improve access, reduce costs, increase quality, and make medicine more personalized for patients. At the same time, digital health technologies enable patients and consumers to manage and track health and wellness-related activities more efficiently. While technologies such as virtual reality (VR) tools, wearable medical devices, and telehealth help improve patient treatment, medical professionals can streamline their workflows using AI-powered systems.[8] A case study involving EHR data suggested that metformin use was associated with decreased mortality after a cancer diagnosis compared with diabetic and nondiabetic cancer patients not on metformin, indicating its potential as a chemotherapeutic regimen. These inexpensive validation studies for drugs using EHR data are vital to digital health.[9]

Applications of digital health devices used in pharmaceuticals

A few critical applications have been discussed below:

Telemedicine

Telemedicine is the use of telecommunications technology to provide health care. Telemedicine can be a particularly useful tool to improve treatment outcomes in India, as over 75% of the country’s healthcare infrastructure is concentrated in urban areas. More than 75% of the population lives in rural areas.[10] Apps: 1 mg, Ask Apollo, Doctor on Demand, etc.

Point-of-care diagnostics

Point-of-care diagnostics (POCD) is an emerging trend in the medical device industry. POCD will enable physicians to provide telehealth services after diagnosis through POCD devices without requiring patients to physically travel and undergo diagnostic tests at medical facilities.[11]

Mobile health

Providing access to such smartphone applications would also not be a big hurdle, with the country expecting to reach 664 million mobile internet users by 2023.

Medical virtual assistants

A virtual assistant (VA) is an AI-powered application program that accepts voice commands and performs the desired actions. VA tools can perform many tasks, including scheduling appointments, sending E-mails and messages, opening applications, playing songs, and setting alarm clocks. For example, symptoms help users diagnose their problem step-by-step when they enter the symptoms.[12]

Robot-assisted surgery

Doctors can perform surgical procedures more efficiently using robots. In the future, we may also witness the use of microbots (also called micro-robots) to diagnose and treat diseases. One such procedure, capsule endoscopy, has already been approved by the United States Food and Drug Administration. Other applications in the future may include removing plaque from arteries, taking tissue biopsies, attacking cancerous tumors directly, and delivering targeted medication.[13]

Self-monitoring healthcare devices

Monitors and sensors are now being integrated into wearables, which allow them to detect various physiological changes in the body. These smart devices can track weight, sleep patterns, posture, diet, and exercise. The raw data collected can be used to self-monitor by detecting various health symptoms and alerting the user in case of potential issues.[14]

Electronic health records

An EHR is a digital version of a patient’s health records. EHRs help eliminate the problems associated with physical records, such as loss and lack of accessibility. It can be stored centrally and accessed at any time, irrespective of where or when the information was collected. With EHRs, doctors can view their patient’s complete medical history even if they are treating the patient for the first time. This would help reduce duplication of tests and facilitate the secure exchange of information, which in turn helps the patient and the healthcare facilities manage costs.[15]

Big data in healthcare

EHRs generate a massive amount of information that can be used in different ways. 25 billion devices are expected to be connected through the Internet of Things (IoT), and the data that these connected devices are expected to churn out must be processed. The sheer volume of information generated requires solutions such as big data processing, which can then be used by various companies.

e-Pharmacies

India has experienced a rise in e-pharmacies or online pharmacies in the last 3–5 years. An e-pharmacy operates over the Internet and fulfills orders through mail, courier, or delivery persons. It provides a platform for customers to purchase medicinal drugs and E-services online, allowing them to receive medicines/services in the comfort of their homes quickly. Various models have been adopted, such as online-only pharmacies and physical pharmacies with an online presence. Online pharmacies allow pharmacists to cater to a larger group of patients.[16]

Telemedicine

Tele is a Greek word meaning “distance,” and “modern” is a Latin word meaning “to heal.” Time magazine called telemedicine “healing by wire.” Although initially considered “futuristic” and “experimental,” telemedicine is today a reality and has come to stay.

The WHO defines Telemedicine as “The delivery of healthcare services, where distance is a critical factor, by all healthcare professionals using information and communication technologies (ICT) for the exchange of valid information for diagnosis, treatment, and prevention of disease and injuries, research and evaluation and the continuing education of healthcare providers, all in the interests of advancing the health of individuals and their communities.”[17]

The benefits of telemedicine

The benefits of telemedicine are depicted in the following section.

  • Accessibility

  • Convenience

  • Cost-effectiveness

  • Efficiency

  • Improved patient outcomes

  • Safety

  • Specialized care access

  • Continuity of care.

Significance of telemedicine

  • Improved access

  • Cost-efficiency

  • Enhanced continuity of care

  • Reduced the spread of infectious diseases

  • Complementary to traditional healthcare

  • Efficient resource allocation

  • Support for specialized care

  • Patient empowerment.[18]

Applications of telemedicine

Applications of telemedicine in pharmaceutics have had a vast scope for the past two decades. Some of them are mentioned as follows:[19]

  • Teleconsultation: A remote consultation is usually held between two or more physicians, a psychiatrist and a psychologist, or between the patient and the treating physician

  • Remote psychotherapy: A person can be confident of remaining anonymous and providing all the information needed to treat their illness to a psychiatrist or psychologist. It is possible to treat mental illnesses and disorders through remote psychotherapy

  • Remote imaging: Digital telecommunications and computer technology progressions have significantly impacted radiology[20]

  • Tele-dermatology: Telemedicine (TLM) can be used to help individuals with skin diseases. The medical history, examination, and biopsy are used to diagnose skin disorders. The biopsy can be sent to a specialist center by post. Moreover, these diseases do not require real-time contact between specialists and patients[21]

  • Remote home medical care: Due to the growth of the elderly population and the shortage of specialist physicians, home care through TLM has excellent growth potential. In this method, some required devices, such as vital signs recorders and video communication devices with the patient, are installed in the patient’s home, and changes in heart rate, blood pressure, respiration, and other vital signs of the patient and the patient image are sent to the nurse

  • Patient care in emergencies: While reviewing the patient’s history and condition and assessing his vital signs, the TLM system’s physician immediately provides the necessary treatment suggestions to preserve the patient’s life and monitors the patient’s recovery steps.[22]

COVID-19 drives telemedicine expansion

Telemedicine underwent a significant transformation following the COVID-19 pandemic compared to its previous status before the outbreak Table 1.[23] While it once struggled to gain traction, telemedicine now plays a vital role in modern medicine, offering improved care access and helping mitigate the impact of infectious diseases. However, challenges remain, such as ensuring equitable distribution of resources, addressing privacy concerns, and developing best practices for telemedicine delivery.[6]

Table 1.

Telemedicine expansion before and after COVID-19

Before COVID-19 After COVID-19
Limited implementation due to regulatory constraints and low reimbursement rates Rapid expansion driven by necessity and relaxation of regulatory barriers
Slow adaptation to new technologies and practices Widespread acceptance and recognition of telemedicine’s value in delivering quality care
Fewer opportunities for virtual consultations and remote patient monitoring Greater availability of telemedicine options, including direct-to-consumer services
Enhanced awareness of telemedicine’s potential to address disparities in healthcare access
Adoption of telemedicine in diverse settings, including pediatrics, mental health, and surgical subspecialties[23]

Trends that build the future of telemedicine

It is a story of change, innovation, and the constant desire to make health care accessible to everyone. The future of telemedicine is quite promising. It consists of many telemedicine trends and is growing extremely fast [Figure 1].

Figure 1.

Figure 1

Prognosing the future of telemedicine (own creation)

Current landscape

Advanced technologies, including AI and VR, are integral to telemedicine’s capabilities, transforming diagnostics, treatment planning, and personalized medicine. Telemedicine systems have been used in patients with IBD, with widespread patient acceptance of the technology. However, early clinical trials demonstrated high attrition rates among intervention patients. In general, telemedicine systems have been associated with improved quality of life, improved patient knowledge, and decreased utilization of health care resources. Early studies evaluating telehealth visits report high patient satisfaction, decreased indirect costs to patients, and no decreased quality of care delivered.[10]

Hybrid care models

These telemedicine trends allow patients to choose the most suitable variant, whether virtual or face-to-face medical interaction. Hybrid care models offer a comprehensive approach to healthcare, ensuring that patients receive the right level of care at the right time. In these telemedicine trends, routine follow-ups, preventive care, and straightforward consultations can occur virtually, freeing up in-person appointments for more complex medical issues requiring physical examinations or procedures.

Artificial intelligence integration

Integrating AI into the future of telemedicine is completely changing how healthcare is delivered and managed. AI-powered applications are utilized for tasks such as diagnostics, risk prediction, and enhancing the accuracy of healthcare services. Machine learning algorithms can analyze vast datasets, identifying patterns and trends that might be challenging for specialists to consider.[24]

Expended specialized services

The majority of telemedicine trends have a significant impact on various medical disciplines. The future of telemedicine is no longer confined to general consultations; how it relates to specialized fields such as telesurgery, telepsychiatry, and teleophthalmology.[25]

The main telemedicine trends

Wearable Technology and Remote Monitoring: The future of telemedicine is ushering in a new era of personalized healthcare. Wearable devices, such as smartwatches or fitness trackers, Fitbit Charge, Amazfit Bip, and Garmin Vivosmart, are equipped with sensors that can continuously monitor various health metrics, providing real-time data for both patients and healthcare providers. Wearables enable individuals to track parameters such as heart rate, blood pressure, sleep patterns, and physical activity levels.[26]

Digital health technologies

Electronic health records

EHRs are defined as “a longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting. This information includes patient demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and radiology reports.”[27] The impact of EHRs on quality of care can be mapped across six domains of quality of care, including patient-centeredness, effectiveness, efficiency, safety, timeliness, and equity. EHRs increase the logistic productivity of workflows and offer a safer way to care for patients. The COVID-19 pandemic and the need for virtual care demonstrated how essential EHRs are in delivering effective care remotely in both primary and hospital care settings.[28]

Impact of electronic health record on pharmaceutical care

The implementation of EHRs has brought about positive changes in healthcare delivery. The benefits of EHRs in transforming digital health. Thus, this transformation has a significant impact on health care. EHRs offer significant benefits in enhancing pharmaceutical care, some of them as follows: Improved quality of care, enhanced collaboration, efficiency gains, challenges in doctor–patient relationships, barriers to adoption, and confidentiality concerns.[29]

Mobile health

mHealth is a term used for medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, and other wireless devices. Collecting community and clinical health data, delivering healthcare information to practitioners, researchers, and patients, real-time monitoring of patient vital signs, and direct provision of care.[30]

Telemedicine features in mHealth apps break down geographical barriers, particularly in remote or underserved areas.[31] Addressing data security, privacy, interoperability, and usability challenges is crucial to maximize their positive impact on patient care.

Wearable devices

With the rise of mobile medicine, the development of new technologies such as intelligent sensing, and the popularization of personalized health concepts, smart wearable devices have developed rapidly in recent years. Among them, medical wearable devices have become one of the most promising fields.[32] These AI devices assist in pursuing a healthier lifestyle and provide healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking metabolic status. Therefore, wearable medical devices have the potential to become a mainstay of the future mobile medical market. Wearables are portable electronic devices such as smartwatches, fitness trackers, and smart glasses. These wearable devices often have sensors and other technologies to measure and track various health and fitness metrics. Wearable devices, particularly those integrated with mHealth applications, have transformed digital health by enabling continuous monitoring and self-management of health; by integrating the IoT and AI, wearable devices can deliver personalized health advice and alert healthcare providers to potential risks.[33] Remote or wearable patient monitoring devices.

Healthcare wearable devices

Different types of healthcare devices are shown as follows.

Skin-based wearables

  • Smart patches: Monitor vital signs like heart rate and temperature

    • Examples: VitalPatch, BioStamp nPoint

  • Tattoo Sensors: Temporary tattoos tracking glucose and alcohol levels

    • Examples: Electrochemical tattoos, MC10 BioStamp

  • Smartwatches/fitness bands: Track fitness metrics and heart rate

    • Examples: Apple Watch, Fitbit Charge

  • Wearable electrocardiogram (ECG) monitors: Continuous heart monitoring.

    • Examples: Zio Patch, CardioPatch.

Biofluidic wearables

  • Sweat sensors: Detect sweat’s hydration, glucose, and lactate levels

    • Examples: Gatorade Gx Sweat Patch, Eccrine Systems

  • Saliva sensors: Monitor stress and hormone levels

    • Examples: Sensor-embedded mouthguards

  • Tear sensors: Measure glucose and biomarkers in tears

    • Examples: Google/Verily Smart Contact Lens

  • Interstitial fluid sensors: Microneedle patches measuring glucose.

    • Examples: FreeStyle Libre, K’Watch Glucose.

General wearables

  • Smart clothing: Monitors heart rate, muscle activity, and respiration

    • Examples: Hexoskin Smart Shirt, Sensoria Fitness Socks

  • Blood pressure monitors: Continuous blood pressure tracking

    • Examples: Omron HeartGuide

  • Oximeters: Measure blood oxygen saturation

    • Examples: Wellue O2Ring

  • Wearable thermometers: Continuous body temperature monitoring

    • Examples: TempTraq

  • Posture correctors: Monitor and correct posture

    • Examples: Upright Go

  • Fitness trackers: Track physical activity and sleep.

    • Examples: Fitbit, Xiaomi Mi Band.

Advances in wearable health devices

Integration of Internet of things and artificial intelligence

Integrating the IoT and AI into wearable health devices has led to significant advances in the healthcare industry.[24] One of the main benefits of this integration is the ability of these devices to gather and analyze large amounts of data continuously. For example, a wearable fitness tracker can track an individual’s heart rate, sleep patterns, and physical activity levels and use AI algorithms to provide personalized fitness recommendations. In addition, the use of IoT and AI can improve the accuracy of diagnoses and treatment plans. For example, AI algorithms can identify data patterns and predict potential diagnoses. This can help healthcare professionals make more informed treatment decisions.[34]

Using glucose monitors as wearables in health care is an example of IoT implementation. These wearables are linked to inhalers, making it easier for the doctor to diagnose and treat the patient accurately. Some popular types of health and fitness wearables are integrated with IoT.[35]

  • Smartwatches: These have features like heart rate monitoring, sleep tracking, and fitness tracking. Some also have GPS built in. Examples are the Fitbit Versa 3 and the Samsung Galaxy Watch

  • Fitness trackers: The purpose of fitness trackers is to record your daily physical activity, including your steps, distance traveled, and calories burned. Heart rate monitoring, sleep tracking, and even guided breathing exercises, e.g., Gramin Vivosmart, and Amazfit Bip.

  • Smart clothing: Relatively new wearable technology is becoming increasingly popular in the fitness sector. Sensors built into these garments track your heart rate, body movements, and other vital signs. These garments can be worn daily or while working out to monitor your physical activity and general health. Examples include Bxloo and Phillips wearable

  • Smart scales: These scales can measure your weight, body fat percentage, and other metrics to help track your progress toward your weight loss or fitness goals.

Big data analytics

The term “big data” has become extremely popular across the globe in recent years. Almost every sector of research, whether it relates to industry or academics, generates and analyzes big data for various purposes.[36] Douglas Laney gave the most popular and well-accepted definition. Laney observed that (big) data were growing in three dimensions: volume, velocity, and variety (known as the 3 Vs).[37] The “big” part of big data indicates its large volume. Velocity indicates the speed or rate of data collection. It makes it accessible for further analysis, with a variety of remarks on the different types of organized and unorganized data that any firm or system can collect, such as transaction-level data, video, audio, text, or log files. These three Vs have become the standard definition of big data. However, other people have added several other Vs to this definition;[38] it is a large amount of data generated in swift motion and contains a lot of content.[39]

Key areas application of big data analytics

Clinical care improvement

Big data analytics improves clinical decision-making by enabling the analysis of diverse data sources, such as EHRs, medical images, genomics, and sensor readings.[40]

Personalized medicine

Software Powered by BDA flags inconsistencies between patient histories and medication allergies, thereby minimizing errors and promoting safer therapies. Health information in digital format also includes the structured (e.g., ICD codes) and unstructured (e.g., symptoms descriptions) content of EHRs, initially designed to communicate information between clinicians, representing a valuable resource for research and model development. Concurrently, massive parallel quantification technologies of genomic data, such as whole-genome sequencing and whole-exome sequencing (WEX), are vital in accelerating data-driven biomedical discovery.[41]

Public health management

Population health tracking and trend identification aid in disease surveillance and prevention strategies.[42]

Strategic planning

BDA contributes to long-term strategic planning by revealing insights into healthcare utilization patterns and resource allocation. A comprehensive strategy that includes five phases (Analysis, Benchmark, Design, Implement, and Evaluate). This strategy is an advanced adaptation of the digital transformation maturity model and can be used as a guideline to adopt and utilize the BD analytics approach effectively.[43]

Telemedicine use cases

There are numerous practical cases of telemedicine use. Almost every healthcare branch has a handful of application scenarios.

  • Dermatology: Sharing photos of skin pigments, nevi, scars, rashes, or abscesses for an immediate consultation

  • Cardiology: Monitoring patients with cardiac diseases via wearables or examination using electronic stethoscopes and tele-ECG

  • Ophthalmology: Macro photography of an eye with the help of a smartphone camera and optical attachments

  • Psychiatry: Video consultation and prescriptions via mobile apps

  • Emergency care: Providing instructions and consultation while waiting for emergency support

  • Orthopedics: X-ray image sharing, monitoring, and consultation

  • Nursing: Nursing services for noncritical cases and minor injuries, like bruises and mild burns. Instructing on wound treatment and medication

  • Physical therapy: Guiding patients on sports or other injury treatment by prescribing different exercises, diets, and regimens.

Case studies

The various types of case studies and their findings are discussed in the following table Table 2.[44]

Table 2.

Case studies of telemedicine

Study site Intervention Patient location Telemedicine modality Findings
Johns Hopkins University Develop a real-time tracking map for following COVID-19 patients At home/in clinic Surveillance of the status of the pandemic Following the COVID-19 patients around the world[44]
IBD HAT Telephonic connection to remove server (quasiexperimental) At home (6 months) IBD home automated telemanagement High rate of adherence to self-testing
Improved disease activity and quality of life
Increased knowledge of disease

IBD=Inflammatory bowel disease, HAT=Home automated telemanagement, COVID-19=Coronavirus disease of 2019

Successful digital health interventions that include wearables

The following table describes the solution to problems of digital health interventions that include wearables.

Barriers/challenges associated with digital health technologies

The current healthcare system has also posed unique challenges to the uptake and utilization of digital health applications for HF patients or any other diseased patients [Figure 2]. Frequently, the existing healthcare infrastructure does not support the integration or expense of novel digital health technologies. Specifically, most of the current EHRs are not equipped to pull data directly from novel technologies, limiting the optimal use of the generated data. Enhancing the interoperability between the commonly used EHRs and the rapidly expanding new devices and wearables should be prioritized and would require close collaboration between technology developers and EHR vendors.[47]

Figure 2.

Figure 2

Barriers/challenges with digital health technologies (own creation)

Major healthcare challenges being solved by digital health technology

Reducing healthcare costs

Preventing a chronic disease is, after all, much more cost-effective in the long run compared to treating the disease. Though a prevention-first approach will take a multipronged plan of action to be effective, technology will likely play a large role (The Growing Emergence of Robots in Healthcare). Specifically, wearable technology – sensors allowing for the real-time monitoring of everything from activity level to blood pressure, heartbeat, and blood glucose levels – holds a lot of promise, by partnering the widespread adoption of these devices with data analytics.[48]

Reducing inefficiencies in healthcare

Several technologies are being explored, however, which may 1 day be able to address the concerns. One potential solution may be using blockchain to store and share patient records. This could not only allow for a complete record to be maintained but also allow for secure transmission of patient records in a way that protects patient privacy and ensures the integrity of the data.[49]

Improving healthcare access

Insurance coverage

Whether or not a patient can afford the costs to treat both acute and chronic illness.

Geographic availability

Whether or not a patient is located somewhere where they have access to healthcare facilities and services.

Timeliness of care

Whether or not a patient can address a medical concern in a timely fashion, whether it be a life-threatening injury or a slowly developing chronic condition.

Increasing quality of care

The introduction of telehealth and virtual or e-visits, for example, may facilitate specialist consultations when a specialist is not available, as discussed above. Similarly, big data analytics, AI, and machine learning may come to play important roles in identifying patients who are at higher risk of hospital-borne illness, postoperative infections, or other complications, enabling their providers to proactively preempt these complications from occurring.[2]

Making medicine more patient-specific

Important tools like wearable trackers and sensors, which allow healthcare providers to monitor the effects of their treatments, and the use of AI, which can analyze massive amounts of data to determine which treatments will work best for a given disease or patient.[50]

Digital health initiatives from the Government of India Table 3[45,46]

Table 3.

Successful digital health interventions that include wearables

Features Problems Solutions
Clearly defined problem and disease state Patient domain
 Health literacy
 Patient adherence
 Social isolation
 Limited resources/affordability system domain
 Misclassification bias
Provided videos and other educational resources on diabetes and hypertension
Programs assigned each patient a health coach and also sent daily push notifications via phone apps
Reward points/tokens were provided via mobile apps for completing the daily recommended medication dose and exercise
Patients who could not afford brand medication were switched to generics
Accurate monitoring over 1 week[45]
Incorporation of wearables into an integrated system of delivery Health literacy
Patient engagement
For patients not meeting expected goals, the care team reached out directly to them to address individual barriers and provide focused digital education and automated medication dosing information with human assistance when needed[46]

Several institutions in India are working on digital health, including

  1. Indian Council of Medical Research[51]

  2. Apollo Hospitals[2]

  3. Tata Consultancy Services

  4. MedTech Zone

  5. AI in Healthcare India.[52]

Companies in India are working on digital health, including

  1. Practo and Doctor on Call: Offering online doctor appointments[24]

  2. NetMeds, Tata 1 mg, Medlife, and PharmEasy: Online platforms for ordering medicines and booking diagnostic tests[53]

  3. HealthKart and HealthifyMe: Provide health supplements and health and wellness coaching.[54]

The National Health Authority of the Government of India supports digital health through several schemes

Digital India

This initiative aims to transform India into a digitally empowered society and knowledge economy [Figure 3]. It includes several components related to digital health, including CoWin and Arogya Sethu (https://digitalindia.gov.in/).

Figure 3.

Figure 3

A schematic representation showing various components of the National Digital Health Mission initiative by the Government of India (own creation)

e-Health and telemedicine

Various ICT-enabled initiatives are undertaken to improve the efficiency and effectiveness of the public healthcare system (https://main.mohfw.gov.in/Organisation/departments-health-and-family-welfare/e-Health-Telemedicine).

Ayushman Bharat Digital Mission

Through this mission, the Government of India aims to develop the backbone necessary to support the country’s integrated digital health infrastructure (https://abdm.gov.in/).

National Digital Health Mission

The National Digital Health Mission is a government-led health mission in India that aims to provide universal health coverage to all citizens through digital technologies (https://www.makeinindia.com/national-digital-health-mission).

National health stack

The program aims to facilitate the collection of comprehensive healthcare data to aid in policymaking, resource allocation, and identification of needy populations for health schemes.

Regulatory consideration

Incorporating digital health and telemedicine into pharmaceuticals involves various regulatory considerations to ensure compliance, patient safety, and efficacy.

  • Regulatory Approval for Digital Therapeutics: Regulatory bodies such as the U.S. FDA and the European Medicines Agency have established pathways for approving DTx products[55]

  • Regulation of mHealth applications: The FDA regulates mobile medical apps based on their intended use, risk classification, and impact on patient care

  • Telemedicine for Clinical Trials: Regulatory agencies have issued guidance on the use of telemedicine in clinical research, including considerations for patient safety, data integrity, and regulatory compliance

  • Data privacy and security: When using digital health and telemedicine technologies, consider the Health Insurance Portability and Accountability Act and the General Data Protection Regulation[17]

  • Adverse event reporting: Digital health providers are required to report adverse events and product failures associated with digital therapeutics and telemedicine platforms. Regulatory agencies use adverse event reports to monitor product safety, assess risks, and implement corrective actions[56]

  • Quality management systems: QMS frameworks such as ISO 13485 guide quality assurance, risk management, and regulatory compliance for medical devices and software

  • Regulatory compliance in supply chain management: Compliance with Good Manufacturing Practice regulations, serialization requirements, and product traceability standards is essential for ensuring product quality and patient safety[57]

  • RWE generation: Regulatory agencies increasingly recognize the value of RWE generated from digital health and telemedicine platforms for informing regulatory decisions and postmarket surveillance.[58]

Conclusion

The rise of digital health and telemedicine is transforming pharmaceutical care. Technologies such as EHRs, mHealth apps, wearable devices, AI, machine learning, and big data analytics are revolutionizing patient care by enhancing medication safety, improving adherence, enabling real-time monitoring, and personalizing treatments. Collaboration among healthcare providers, pharmaceutical companies, and tech developers has led to innovative solutions addressing modern healthcare challenges. As regulatory considerations and research shape these advancements, digital health offers promising opportunities to improve patient outcomes, reduce costs, and create a more efficient, patient-centric healthcare system. Embracing these technologies is crucial for the future of pharmaceuticals and health care.

Conflicts of interest

There are no conflicts of interest.

Acknowledgments

The authors are thankful to Pristyn Research Solutions, Aurangabad, for providing the necessary facilities for review work.

Funding Statement

Nil.

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