Change has long been a constant in the healthcare sector, but it has greatly accelerated in recent years. Consumer expectations are growing, driven by developments in other industries. Prices continue to rise, and more advanced medical services become available on a regular basis. 1 New data-driven technologies are spurring digitization and automation across the board. 2
Combined, these dynamics are causing true disruption, leading to a healthcare market that requires fundamentally new capabilities to effectively compete (Exhibit 1). Some payers, for example, are integrating with other parts of the value chain to improve member experience in new ways, which is altering market dynamics. Technology start-ups are offering new products and services designed to address traditional industry challenges, thereby disaggregating the value chain and often diluting payers’ value propositions in the process. Technology titans are threatening to attack large value pools, leaving some payers in danger of being disintermediated or carved out of high-value areas. Given the rapidity of technological advances, future innovations could leave many conventional payers behind.
This barrage of change, despite its sometimes dizzying pace, is creating new opportunities to solve long-standing problems. Some of the new digital offers have been shown to deliver experiences that meet the expectations of today’s consumers (even young “digital natives”). Payers can also take advantage of new technologies to fully automate core processes, strengthen their partnerships with providers, and reposition themselves at the center of the healthcare landscape.
In this article, we focus on the opportunity for payers to use digital health ecosystems to disrupt their own ways of delivering services and engaging with consumers. These ecosystems enable a range of consumer-centric services by establishing a network of digital service providers (Exhibit 2). They run on technology platforms that act as a digital backbone, providing interconnectivity among provider systems, physicians, payers, patients, and other healthcare players. Thus, an ecosystem facilitates both historical and real-time data exchange and gives participants access to new services, such as on-demand interactions with caregivers and analytical modeling of their personalized treatment paths. The goal of each ecosystem is, ultimately, to improve healthcare outcomes.
Ecosystems bring opportunities
In recent years, both healthcare stakeholders and companies in other industries have recognized the potential benefits of digital health applications. Most payers now offer a wide range of consumer applications and other health services. Providers are adopting telemedicine applications and other digital offers. In addition, pharmaceutical companies are experimenting with treatments beyond pills (including biologic and genomic products), technology start-ups are providing new digital health solutions, and high-tech giants are pushing a growing array of health applications.
When linked, these technologies can serve as the foundation for digital health ecosystems that can benefit all involved parties (Exhibit 3). Most notably, the emergence of new service offers gives those parties the opportunity to engage with consumers more regularly—at any point in their healthcare journey—through a variety of channels. For payers, these regular touch points, along with the digital health services they now offer, create an opportunity to significantly improve member experience.
In addition, ecosystems can help drive healthcare value. For example, regular communication between a patient, provider, and payer can advance care integration and optimize health monitoring, which can then reduce the risk of medical errors, increase the use of preventive health services, and improve overall care delivery.
Digital health ecosystems also hold promise in improving administrative efficiency based on lower overhead costs and faster turnaround times. By enabling more seamless data sharing among all parties, the quality and availability of data can be improved—the foundation for using advanced automation technology to significantly reduce the need for manual processing. 3
Finally, digital health ecosystems may also strengthen the underlying technology and data foundation of healthcare delivery by utilizing previously unavailable information to help stakeholders develop a more comprehensive understanding of consumer needs and preferences.
The sharing of medical data is at the core of a digital health ecosystem. It is therefore crucial that each ecosystem be predicated on comprehensive data stewardship. Data privacy is pivotal—not only to comply with local laws and regulations, but also to empower consumers to own their medical data and maintain control over who can access which parts of it at what moments in time. Only by giving consumers this level of control can sufficient trust be established—it is trust that will ultimately determine whether digital ecosystems are adopted by consumers and providers alike.
At the same time, making data available is a strong value-add for partners. If all ecosystem participants could gain access to longitudinal data from payers, providers, social networks, fitness devices, and nutrition apps, they would be better able to develop innovative solutions targeted to individuals and groups. Technology companies, for example, would be able to scale their new offers more rapidly, given the payers’ broad member bases. In addition, the companies could use their relationships with payers to better evaluate the results of their digital solutions by combining their activity data with the payers’ outcomes data. Use cases such as these will require stakeholders to adequately inform consumers about their plans and obtain explicit consent (as stipulated in local privacy laws and regulations). Joint talent pools may also be needed to help build capabilities for all participants.
To reap these and other potential benefits, payers and other ecosystem participants must overcome several hurdles that can impede consumer adoption. For example, provider-centric ecosystem approaches may not focus sufficiently on offering attractive services to consumers. Ensuring data access and quality can also be challenging because many application programming interfaces are not tailored for broad adoption. Inadequately granular data access/privacy management may fail to meet regulatory requirements. Although these hurdles have been challenging to overcome in the past, technological advances have made them easier to surmount. Given the clear underlying value for stakeholders, we believe the time is right for digital health ecosystems to emerge at scale. For a payer striving to build such an ecosystem, a crucial first step is to build the right components to establish the necessary digital backbone.
Successful ecosystem plays require strong business capabilities
To succeed, digital health ecosystem plays must be based on solid business, data, and IT architecture. While the specific layouts will often vary from payer to payer, the general format is similar. The necessary components can be grouped into three types, with business capabilities connected to each component (Exhibit 4) as well as to the technology foundations detailed in the next section.
Consumer-facing components. Business capabilities for compelling consumer-facing components are crucial for offering new services that better engage consumers. Digital self-service channels are at the core—they make it possible to engage consumers in a personalized fashion and provide a single access point for managing health data. Embedding omnichannel and virtual care elements can give consumers a convenient, comprehensive way to gain access to all of the ecosystem’s healthcare offer throughout. Through these channels, innovative services can be offered across the full consumer journey, from facilitated and seamless payer onboarding to personalized treatment options and on-demand access to caregivers.
Provider components. Important business capabilities should make it possible for traditional healthcare and service providers to work effectively with new health partners as well as with payers. Seamless integration of health data could smooth the transfer of patients between care providers. Combining data on treatments and outcomes from multiple providers could improve the results of advanced analytics and make it possible to advise patients on appropriate providers, ultimately improving healthcare outcomes.
Internal components. To make involvement in a successful digital health ecosystem possible, all participants’ back-office processes will often need to be adapted. Internal work flows should be automated and centered around the ecosystem, using newly available data and real-time processing to adequately support digital services. For payers, for example, real-time sharing of comprehensive treatment and medical data from providers could reshape the way claims are handled, increasing efficiency and offering members live processing with immediate feedback. (As discussed earlier, this type of data sharing requires data privacy capabilities that give consumers granular control over who can have access to their information.)
Similarly, combining the data points with automated back-office processes can help optimize enrollment and ensure that new payer members are automatically integrated into the emerging ecosystem. In our experience, these approaches can deliver administrative cost savings to payers of 20 to 40 percent in effort-intensive areas (actual savings will depend on the nature of work being automated and the extent to which technology is already being used). 4
New technology foundations are required to build an ecosystem
Having the right components in place is not sufficient to build an effective digital health ecosystem; the right digital capabilities also need to be deployed. In recent years, a wide range of technologies has been released—a major reason for the emergence of some payers’ ecosystem plays. Each of the component types discussed above requires different technologies (Exhibit 5).
Consumer-facing components. Digital access points—from portals to messaging and voice interfaces—are crucial for providing consumers with personalized access to information and services. A consumer-centric design approach should be used to ensure that consumers receive tailored experiences focused on individual needs.
Well-designed digital access points provide a coherent framework within which proprietary and partner services can be integrated. Here, two levels of integration can be considered. Front-end integration can provide a quick solution and allow ecosystem offers to be scaled up rapidly. Application program interface (API) integration, in contrast, involves significant IT complexity but ensures a much more robust approach, including an integrated view of data flows.
A digital self-service experience is unlikely to cover the full range of options consumers need. Telemedicine offers, for example, cannot be delivered solely through digital self-service channels. The integration of chat, videoconferencing, or other personal channels is needed to provide targeted support and thus can serve as an important building block for omnichannel consumer service.
Provider components. Although the technological complexity of consumer components is comparatively low, the opposite is true for provider components. Indeed, building the components required for full payer-provider data exchange has been a major obstacle to both ecosystem plays and payer-provider integration in general—and has been one of the chief challenges to establishing effective digital health ecosystems.
If a payer is to establish an integrated data and service landscape with providers, two building blocks are needed. First, a next-generation data layer that provides API capabilities is required to establish data exchange based on clearly defined, partially standardized interfaces. Although most payers already have a data layer, their tools will usually need to be improved to accommodate the wide range of interfaces used by ecosystem partners. Second, distributed data management, including measures needed to ensure data integrity and privacy, must be in place. For digital health ecosystems, some features are especially important: a large-scale distributed database capable of storing and exchanging massive amounts of unstructured data, a systematic way of ensuring that the data is not being tampered with and previous versions remain accessible, and a rigorous way of ensuring that information remains confidential and can be accessed only selectively.
Internal components. To ensure that internal components have a strong technology foundation and ecosystem services can be integrated, an automated digital core is likely to be necessary. Usually, a payer’s existing transactional core systems (claims, for example) can be kept in place but will need to be integrated with a flexible data layer. The emerging healthcare data landscape provides an ideal setting for sophisticated analytics efforts, especially those designed to enhance patient health, prevent unnecessarily costly treatments, or both. Ideally, the analytic models should draw on a wide range of data, including information about consumers’ physical activity and general health behavior (Exhibit 6). Once this wealth of data becomes available, a host of new analytics use cases that can drive business value and improve consumer satisfaction is likely to emerge.
In addition, the existing digital core will likely need to be supplemented with an extensive microservice landscape. These flexible IT services make it possible to swiftly process ecosystem requests. Moreover, they are the technological foundation for integrating external partner services with the payer’s existing digital core.
Moreover, a new level of automation will likely be required to process the vast amount of data and handle the internal complexity a digital health ecosystem entails. Here, a range of large-scale automation tools, from robotic process automation to natural language processing, can be deployed.
A variety of roles exist in digital health ecosystems
While all payers can potentially benefit from participating in a digital health ecosystem, the role each one chooses to play can differ substantially, depending on its current strategic role and market. The roles themselves fall on a continuum. Most payers are likely to select a varying blend of features from several potential roles, and some roles are likely to be less attractive to payers than to other stakeholders, such as providers and pharmaceutical companies. In any case, it is critical that the selection of features be a conscious choice based on the chosen strategy.
Orchestrator. Here, one payer directs the ecosystem and has control over two strategic aspects. First, by managing the IT and data platform, the payer controls partner access to the ecosystem and its underlying data. Second, the payer orchestrates interactions with consumers (or, at least, provides the technological foundation for them) and is therefore able to make use of consumer touch points and help its members navigate according to its strategic priorities. Ecosystems, in general, tend to have a “winner-takes-all” dynamic, making it cost-inefficient to operate small ecosystems (Exhibit 7). The result is that few ecosystems are successful in the long run, making the role of orchestrator difficult to obtain. In healthcare, localizing forces are usually at play, including laws, regulations, language barriers, and the dependence on local care facilities. Thus, while size is still a winning factor, ecosystem dynamics are more complex in healthcare than they are in most other industries. At this point, it is hard to predict to what extent size will prevail in healthcare, and it will likely depend on individual market characteristics and how strongly it is protected by localizing forces.
Convener. Payers could form a consortium of like-minded, noncompetitive peers to bring scale to an ecosystem. This approach can increase the incentives for partners offering digital health services to participate in a cross-payer platform and bring innovative solutions to consumers. Conveners typically form a governance structure to decide on such elements as entry and exit criteria, voting rights, capital amounts, and other financial considerations.
Service provider. Digital health ecosystems can attract the consumers of health services only if they offer attractive digital services, such as fitness tracking and telemedicine. Often, these services are created and provided by entities specializing in such offers. Service providers can benefit from plugging into existing digital ecosystems to extend their reach and gain new customers. They are usually incentivized by opportunities for fees, either by directly billing consumers through the platform or by offering bulk deals to payers that include providing data back to the ecosystem.
Data subscriber. Digital healthcare ecosystems must gather data and develop new insights while respecting privacy concerns. Data subscribers can make use of the wealth of available data to optimize their own businesses by tailoring services to the market and enhancing their product offers. Pharmaceutical companies, for example, could gather data to amass real-world evidence of the efficacy of their products, assuming that they can find a way to comply with local privacy laws and regulations (for example, by obtaining explicit consumer consent). Although digital health ecosystems always rely on some degree of data exchange, different levels of sharing are possible. Overall healthcare outcomes are highly likely to improve with broader sharing of data. Orchestrators and other powerful players, however, could try to protect their business and proprietary insights and choose to restrict data access. Different scenarios could thus emerge, depending on market dynamics and environmental factors (local regulations, for example).
Lead subscriber. For some companies, it can prove beneficial to participate in an ecosystem simply to generate new leads and cultivate ecosystem users for their established businesses. This is especially true for healthcare providers that may want to use an ecosystem to attract new patients to their inpatient and outpatient facilities.
Participant. Some payers could choose to purchase access to an ecosystem so they can offer their services to their own members, integrating the system into their digital service portfolio. The ecosystem can be compensated financially for providing access; in some cases, however, the increase in the number of users and subsequent enrichment of the underlying data may be sufficient incentive.
Optimal ecosystem plays vary with payer size
For most payers, orchestrating an ecosystem can be a major challenge, requiring investment, know-how, and an existing strategic position within a healthcare network. Participating in an ecosystem is easier than orchestrating one but does not bring the same benefits, as the payer has little or no control over data governance and the consumer interface. Consequently, there is no single answer to the question of what role a payer should play in a digital health ecosystem and which partners it should choose.
Our experience suggests that the optimal strategy will depend on the strength of a payer’s market position, which is partly determined by the size of the member base but also relies on other factors. In essence, the question is to what extent the payer is capable of coordinating ecosystem efforts, effectively utilizing its membership base, and competing in a highly dynamic market.
Relatively weak market position. Ecosystems can bring material benefits to all payers, but a certain level of market concentration is required for an orchestrator role. Payers with a relatively weak market position may want to consider participating in existing ecosystems so they can offer services to their members. Given the number of members these payers typically have and the wealth of data they could thus contribute, ecosystems have an incentive to take them on. If such a payer possesses strategic assets or services, it could also play a service provider role, offering its services through the ecosystem. In either case, the payer could also operate as a lead subscriber, working to attract new members to its core insurance business.
Powerful market position. Payers with a powerful market position can choose to merely plug into existing ecosystems, but they also have the opportunity to become conveners or even orchestrators for small, sub-regional, or regional ecosystems. Taking on one of these roles requires a payer to have a clear strategy for how it can establish or add value and how it can protect itself against attacks from even larger competitors.
Leading market position. Once payers have a certain position in the market (such as national scale in the United States), they can undertake their own ecosystem play as orchestrators. By gaining control over the consumer interface and the data that comes with it, they can help consumers navigate the healthcare landscape, promote medical quality, and reap the full benefits of digital health ecosystems. In this scenario, the payers can expand their businesses (for example, through sophisticated data analysis techniques or by creating new services) and make full use of the ecosystem to generate leads.
Would-be orchestrators should identify a reliable set of initial partners and have a clear selling proposition for first users of the platform. If successful, the orchestrators can then attract new partners and build momentum for overall growth of the ecosystem. The first payers that are successful in establishing large-scale, functional ecosystems will have an opportunity to drive new reimbursement models and create a nourishing ground for innovative healthcare start-ups. In this way, they are first in line to offer new, innovative healthcare services to their members and can rely on a wide portfolio of digital offers to improve member well-being.
Payers need to act decisively, with a clear focus on value
The time to act is now, particularly given the burgeoning interest of technology giants in playing a central role in the digital health ecosystem. The following steps can help payers successfully orchestrate or convene a digital health ecosystem:
Identify compelling use cases. A set of initial use cases with quantifiable value is often the best way to develop a patient- and market-based approach and identify potential sources of value. By carefully evaluating where a digital health ecosystem could uniquely deliver value and where stand-alone offers from individual players may be more suitable, a clear ecosystem strategy can be formulated. The use cases should then be implemented in a gradual manner, prioritized by value and key interactions to increase user interest. Once up and running, ecosystems can unleash further creativity and innovation that reveal unanticipated use cases.
Decide on potential partners. Depending on the role a payer decides to play, the partners could be health systems, solution providers, or even other payers. The payer should think through how it might benefit from partnerships with these other players and what risks it might face, as well as how the other players could benefit from participation (a solution provider, for example, might be attracted by the larger user base a new payer could bring). Most importantly, the partners should make it possible to create seamless user journeys that deliver real value to the health system and increase convenience for patients.
Initiate a strong governance structure. A payer orchestrating a digital health ecosystem needs to decide on a range of governance issues, including entry and exit criteria, capital structure, voting and data access rights, and community guardrails. A payer that wants to play a convener role should also think through these issues but will likely have to negotiate with partners on some issues.
Create win-win (mutually beneficial) arrangements with partners. Critical elements include initial capital investments, gain-sharing arrangements, incentives for the payer’s members to participate, and fee structures for services offered. Value proposition messages geared to all potential partners must be ready early. A structured communication and syndication approach should be launched to scan for and attract partners.
Define a technology strategy. Essential elements include flexible IT architecture, integrated data landscape, top-tier security for authentication and authorization, and secure, convenient access for all participants, including the payer’s members. While the different elements across all core components can be built up over time, it is important to lay the foundations for scalability and flexibility from the very outset (for example, through stringent API coupling of components and scalable infrastructure).
Pitfalls exist, but can often be avoided
Establishing an ecosystem presents challenges. Our research suggests that five pitfalls are especially common:
- “Shiny object” pitfall. Payers should avoid creating a complex buffet of solutions without clear focus. Rather than chasing every shiny object on the horizon, payers should adopt a focused, pragmatic, realistic approach that balances feasibility and immediate value. One tool that can help payers avoid this pitfall is to collect early-stage consumer feedback so they can continually refine the ecosystem.
- “Neglecting foundations” pitfall. The success of an ecosystem in large part rests on having solid foundations, such as scalable and flexible IT architecture, an integrated data landscape, a strong business network, and refined data security concepts. The absence of any of these could compromise the ecosystem’s success.
- “Total control” pitfall. Ecosystem success often hinges on its openness to service providers and other partners. Payers should avoid the urge to maintain tight control and block opportunities for innovation by others. Instead, they should develop strategic control points that allow partners to integrate into the ecosystem.
- “Just technology and new partners” pitfall. Developing a successful ecosystem requires more than just the selection of the best technologies and partners. It also requires a shift in mindset, willingness to collaborate with a range of partners, and awareness that not all services need to be developed or maintained in-house.
- “Neglecting the core” pitfall. While a digital health ecosystem can become an important aspect of a payer’s overall operating model, it should not overshadow the need to continually improve core operations. Only by sustaining operational excellence in foundational areas can payers ensure that the energy and resource investments they make into ecosystem plays will pay off.
One of the most valuable resources in healthcare is data. As a result, payers have increasing opportunities to take advantage of their central position in the healthcare landscape. Many payers have already made some progress in this direction, as their existing portfolios of digital offers and abundant data repositories demonstrate. In most cases, members are clearly appreciating, and in some cases even demanding, payers’ digital transformation efforts through increased usage of value-adding services.
However, if payers want to move beyond their current role as insurance purveyors, they will need to take up an active role in the digital health ecosystem. They need to integrate with other partners in the market to enable seamless customer journeys, actively support data flows as far as possible (given existing laws and regulations in the local environment as well as consumer preferences), and enable new use cases made possible by bringing previously disparate data sources together. Given the risk that nonpayers—from technology giants to pharmaceutical companies—could make powerful moves to establish themselves in central positions of digital health ecosystems, the pressure to act now is increasing. Regardless of the specific role, digital health ecosystems must be a core part of any payer strategy in the future.
The digital healthcare ecosystem is an infrastructure that supports the transformation of the organization-centered healthcare model into a patient-centered model. The main purpose of this system is to deliver multidisciplinary and collaborative health services.
- Reduce inefficiencies,
- Improve access,
- Reduce costs,
- Increase quality, and.
- Make medicine more personalized for patients.
In the medical and healthcare sector, the term ecosystem is nowadays used to define the healthcare ecosystem. It is a community consisting of patient and doctor, and all satellite figures involved in the medical care or hospital stay process.
AI, which includes the fields of natural language processing, robotics, and machine learning, can be used in almost every field of digital health and medical analytics, and its possible contributions to medical studies, medical edification, and the delivery of health care appear limitless (Chang, 2020) .
Definition. The most common perspective besides the societal perspective is the payer's perspective. It refers to all expenses of the public payer, e. g. a sickness fund, government health service, or private health insurance company, for reimbursed health care due to a defined health care intervention or disease.
It is the process of introducing digital technologies in all aspects of healthcare business – payer operations, provider operations, member interactions, etc. It is more of a cultural change and enables improvement in business agility, thereby improving operational excellence and patient experience, and reducing costs.
Regularly performing cognitively rewarding “deep work” Being present on one thing at a time – not multitasking. Freeing ourselves from the trivial and meaningless. Overcoming digital anxieties (like instant availability and the cult of busyness)
So, what are the challenges many healthcare systems still face when taking on a digital health strategy? They include interoperability, cybersecurity, privacy and challenging misinformation.
There are now tens of thousands of healthcare practitioners, public and private hospitals, community pharmacies and other healthcare providers connected to the My Health Record system, with more joining every day.
A healthy ecosystem is one that is intact in its physical, chemical, and biological components and their interrelationships, such that it is resilient to withstand change and stressors.
These are things like air, water, rocks, soil, metals and nutrients (nitrogen, phosphorus and carbon). Inorganic matter is important in an ecosystem because it is what producers use, and it is the physical and chemical, non-living environment that we live in.
The digital health industry is booming, with some estimates, valuing the sector at more than $550 billion by 2027 with an annual growth rate (CAGR) of almost 16.5%. Our own research bears this out as well.
Why are health Informaticians critical to a healthcare organization the community and public health? ›
Specifically, public health informatics supports the mission of disease prevention and health promotion by leveraging information technology solutions, therefore enabling environmental health programs to achieve public health goals more effectively, efficiently, and inexpensively.
- Optimize Your Business Model.
- Focus Your Culture on Your Customer.
- Focus on Sustainable Cost Reduction.
- Take Action Now.
The major stakeholders in the healthcare system are patients, physicians, employers, insurance companies, pharmaceutical firms and government.
In healthcare the main stakeholders are Patients, Providers (professionals and institutions), Payors, and Policymakers ('The four Ps' in healthcare). Moreover, industry (e.g. medical device, pharmaceutical, biotechnology), regulators, research community, and media are also important.
Some of the areas where digital technology has made an enormous impact in healthcare include: 1. Improved Access to Medical Information and Data: One of the biggest benefits of the digital revolution has been the ability to store and access data. Healthcare professionals can now retrieve patient data from anywhere.
Helping healthcare organizations to strategically employ digital and analytics to transform their businesses and dramatically improve performance. The rise of big data and digital capabilities is changing the way healthcare payers and providers operate.
The impact of digital transformation will be felt across all aspects of health care, helping enable easier access to care, improving quality, and decreasing the cost of care. Consumers can connect quickly and conveniently with their preferred provider.
Entering data into a computerized system is much less time-consuming than paper-based methods, and it reduces the risk of errors in patient data and financial details. Accessing patient records digitally also allows medical coding experts to work from home, increasing efficiency and productivity.
- 1 Check less. ...
- 2 Take care when posting. ...
- 3 Take an active role. ...
- 4 Block the bullies. ...
- 5 Maintain perspective. ...
- 6 Set boundaries around work. ...
- 7 Guard your sleep. ...
- 8 Connect offline.
- Take Frequent Breaks.
- Limit Online Distractions.
- Think Before Posting.
- Create Purpose for Being Online.
- Engage in Meaningful Interactions.
- Set Digital Usage Boundaries.
- Security. ...
- Integration and Cost Effectiveness. ...
- Data Privacy and Regulations. ...
- Simple User Experiences. ...
- High-Performing, High-Quality Solutions.
One of the major challenges to implementing smart or connected health is communication. Many devices now have sensors to collect data and they often communicate with the server in their own language.
Digital health refers to everything relating to the digitization of healthcare and medicine, whereas Telemedicine is just one element of Digital Health, more specifically, providing patients with the opportunity to take part in a real-time virtual consultation with healthcare practitioners.
Digital healthcare platforms in this study are defined as collections of applications and technologies used to support the delivery of healthcare services (5).
Digital health apps range from providing a platform for services such as virtual doctor appointments and chronic-disease management to consumer health apps that help people manage their own health through tracking daily steps and accessing exercise and nutrition programs.
Regulating services include pollination, decomposition, water purification, erosion and flood control, and carbon storage and climate regulation.
An ecosystem is a geographic area where plants, animals, and other organisms, as well as weather and landscape, work together to form a bubble of life. Ecosystems contain biotic or living, parts, as well as abiotic factors, or nonliving parts. Biotic factors include plants, animals, and other organisms.
There are three broad categories of ecosystems based on their general environment: freshwater, marine, and terrestrial.
Healthy terrestrial ecosystems are vital for human welfare and survival, as they provide us with essential products and benefits. Over 90% of our food comes from terrestrial ecosystems, which also provide energy, building materials, clothes, medicines, fresh and clean water, and clean air.
Ecosystems underpin all human life and activities. The goods and services they provide are vital to sustaining well-being, and to future economic and social development. The benefits ecosystems provide include food, water, timber, air purification, soil formation and pollination.
Importance of Ecosystem:
It provides habitat to wild plants and animals. It promotes various food chains and food webs. It controls essential ecological processes and promotes lives. Involved in the recycling of nutrients between biotic and abiotic components.
All ecosystems require energy from an external source – this is usually the sun. An ecosystem must contain producers, consumers, decomposers, and dead and inorganic matter. All ecosystems require energy from an external source – this is usually the sun.
Of all the organisms in an ecosystem, the most important role is played by decomposers. The nutrients are released back into the environment by the decomposition of dead organisms.
Ecosystems are becoming damaged or degraded as a result of stresses especially associated with human activities. A healthy ecosystem is essential to provide the services that humans and the natural environment require and has tremendous social and economic value.
- Reduce inefficiencies,
- Improve access,
- Reduce costs,
- Increase quality, and.
- Make medicine more personalized for patients.
The future of healthcare includes technology that seamlessly combines data on a patient's medical history, real-time health, insurance coverage, and financial information all to support provider decision-making, improve patient health, and reduce costs. This will begin by expanding access to patient health information.
We will continue to see more advanced technology such as artificial intelligence (AI) and machine learning (ML) leveraged for predictive analytics in healthcare. Valuable tools that are constantly undergoing innovation, AI and ML can help enable potentially life-saving predictions for patients.
To improve population health, informatics enables effective monitoring and surveillance, ensuring that practitioners have access to timely and accurate data.
What ways can informatics help health care providers overcome current or emerging barriers to care and increase access to safe quality health care? ›
- Informatics can help prevent harmful treatment and prescription errors. ...
- Informatics improves patient record retrieval. ...
- Improves accuracy for health insurance administration. ...
- Patient information is safer when stored using informatics technology.
How does healthcare informatics contribute to future success of an institution or a population health initiative? ›
#5 - Health informatics empowers patients
Data-driven patient-education systems and wearables make it easier for patients to care for themselves outside of medical settings, fostering better patient-provider partnerships and potentially improving outcomes.
Digital health trends like telemedicine, IoT devices, and virtual reality surgical training continue to attract massive investment, helping the industry improve health equity worldwide.
The definition of digital transformation. Digital transformation is the process of using digital technologies to create new — or modify existing — business processes, culture, and customer experiences to meet changing business and market requirements.
AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions.
The digitization of India's healthcare will inevitably optimize the practice of doctors, enhance patient-doctor communication and improve patient outcomes. Besides the two obvious stakeholders, technological changes in the Indian healthcare system can also benefit other members of the ecosystem.
- Telemedicine. Telemedicine is the use of digital technologies that enable medical practitioners to remotely inspect, diagnose, prescribe, and treat the patient. ...
- Remote Patient Monitoring. ...
- Artificial Intelligence. ...
- Blockchain. ...
- Big Data.
The health care system also uses technology to reduce operations costs, especially labor costs, by automating most of the previously required human attention tasks. The technology eliminates challenging tasks and allows health care providers to focus on core-duties.
What are digital health products? Digital health products include wearable devices, digital health apps, and other products that can help older adults monitor their health—or the health of someone you love from afar. Some digital health technology examples include: Fitness trackers (e.g., Fitbit)
The three building blocks of this transformation are digital modifications to the business, the creation of new digital businesses, and digital globalization.
- Transitioning into a remote-first workspace.
- Using design thinking to analyze and optimize the customer journey.
- Implementing automated customer service.
- Using AI-driven insights to improve sales efficiency.
- Automating employee performance management.
Getting ahead of patient re-admittance can save hospitals millions of dollars and help keep patient costs down. Another way AI can help in hospitals is prevent deaths due to human errors. Over a quarter of a million patients die in US hospitals because of “preventable human error”, Horvitz says.
Integrating AI into the healthcare ecosystem allows for a multitude of benefits, including automating tasks and analyzing big patient data sets to deliver better healthcare faster, and at a lower cost. According to Insider Intelligence, 30% of healthcare costs are associated with administrative tasks.
AI techniques can help medical researchers deal with the vast amount of data from patients (i.e., medical big data). AI systems can manage data generated from clinical activities, such as screening, diagnosis, and treatment assignment.
The concept of digital health is the cultural transformation of how disruptive technologies that provide digital and objective data accessible to both caregivers and patients leads to an equal level doctor-patient relationship with shared decision-making and the democratization of care. Drishti Mains Question.
Digital Health India Primary Health Care. PATH is using innovative, scalable technology solutions to digitize health programs and enhance the quality and sustainability of care. Mobile apps are increasingly used—in India and beyond—to coordinate care and manage treatment of illnesses.
Expectations, with reference to healthcare, refer to the anticipation or the belief about what is to be encountered in a consultation or in the healthcare system. It is the mental picture that patients or the public will have of the process of interaction with the system.