Health Technology, Digital Healthcare
Article | July 14, 2023
Throughout my professional carrier, I iused to visit many companies involved in drug discoveries and had seen the challenges they go through. Some are pleasant as the investigational molecules were moving forward in value chain whereas few faced bottlenecks at the end. The association with Pharma industry over the years had taught me about many new ideas and allowed me to see that how innovative ideas are impacting our social and scientific world to a great extent. The changes we see today, are the results of ideas came from various quarters globally and I feel digital innovation had shaped today’s world differently. The impact of digital platform in today’s Pharma world is a “Game-Changer".
Innovation is a continuous process which simplifies challenges into reality and plays a very important role in our society. Centuries ago, scientists used to spend years in laboratories to understand material science. The chemical science evolved around discovering elements, synthesis of compounds or even isolating products from natural resources. Today’s world is highly indebted to those discoveries and efforts and modern science has gradually moved towards digital platform. Last few decades, innovations based on new technology platforms has made huge impact in scientific discoveries and few such ideas and action I feel has brought significant changes. Our lifestyle and social environment have witnessed deep impact due to such innovation. The chemical science is evolved not around only chemists today but have huge influence of mathematicians and technologists for faster development.
Advancement of digital science, new algorithms to solve the problems has modified the way of drug discovery to a great extent. In the recent past, we were heavily depended on big machines, but innovation has brought the whole items in a small packet now. The technology platform is modified, speed has increased in identifying new drugs with artificial intelligence (AI) and machine learning is accelerating the drug discovery and development processes. Today’s Pharma industries for commercial supplies are now depended on automation, optimization of the manufacturing processes, as well as designing effective marketing and post-launch strategies. The process is aimed to have better control on the operation, improving safety and better predictability of quality. For conducting clinical trials, identifying patient’s profile, an eligibility criteria is crucial which has been made by the processes being faster and cost effective by introducing Artificial Intelligence (AI).
Earlier when focus was to identify the origin of life, finding new elements, compounds or building blocks, today’s world is heavily dependent on data or ‘Big Data’. The amount of information available throughout drug discovery and development process, analyzing, interpreting, and predicting right candidate require high-performance systems to analyze data properly and derive value from it. There is advancement of analytical techniques, which provides more accurate information about the clinical trial reports and the data across patient pool, zeroing down towards right candidate is a real challenge and there are several AI enabled tools available where the processing time is reduced significantly which might have taken several years. The exciting part is that innovation is not only limited to laboratory work but works in coordination of mathematical interpretations, data analysis and provide significant clues to develop new molecules and even provide approach towards therapeutic categories. Currently available advanced technologies enhance drug development process, making it less time-consuming and cost-effective process where AI can recognize hit and lead compounds, and provide a quicker validation of the drug target and optimization of the drug structure design. Data scientists play a very significant role in all these activities.
Innovation focusing personalized medicine is now a reality and companies involved in such basic research have made breakthrough to understand how the human body responds to drug. Software solution is also available for simulating effects of drugs in patient body based on individual characteristics, scientific data for real time prediction of efficacy and drug interaction on individual. These predictive models are shortening drug discovery pathways to a great extent. Small molecule drugs or even large molecules development are heavily depended today on such modelling and predictive approach. The aim to reduce cost of drug development, shortening discovery path, focus on clinical trial mechanism is more productive with a higher success rate. During the pandemic period, in a shortest possible manner, several companies started working to develop new drugs or vaccines using drug-specific exposure models for drugs under investigation for the treatment of Covid-19.
Similarly, discovery platform is also working on cutting edge technology ‘Organ-on-a-chip’ that can emulate the physiological environment and functionality of human organs on a chip for disease modeling, mimicking the impact and could be a game changer in future. I will be happy to see when technology platform can accurately predict human mind and with the help of AI, can find a probable solution to avoid any such complex conflicts. It would be interesting to see that AI is analyzing and predicting the chemical change in the bodies impacting human mind and analysisng it quickly to predict psychological behavior of the patient and guide physician for right therapy. This may lead to predicting problems one may face in old ages where the decays may be prevented at early stage. This is a challenge but understanding and predicting psychological behavior may improve patients’ life. Depression and its remedy may be based on understanding changes, patterns of physicochemical behavior and its impact during mood swing and predicting such things in advance by using the advanced AI tools could be a game changer.
Another path breaking development where technology involving both engineers and scientists to help drug design to obtain maximal therapeutic benefits for patients including designing drug delivery systems and biomedical devices is 3D-printing technology. This involves high end computer simulations making analysis faster and predictive than before. Influence of 3D printing in designing variety of dosage forms has simplified its preparation. Though further study is under progress but the technology implementation at late has reduced cost of drug development to a significant extent and will add value in future drug development. It is interesting to see how this 3D printing technology works on human brain mapping and predicting a right path for treatment for betterment of large patient pool. Today with advanced technology, we are now more dependent on machines, limited close interaction with our near and dear ones, but created more friends on social platform. Though life looks easy, but over dependent on machines is creating another complex environment and this growing complexity may change the disease pattern. It will be interesting to see that how these technology platforms improve further to ease out such complexities for a healthy future.
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Health Technology, Digital Healthcare
Article | September 8, 2023
A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is a model that mirrors a unique physical object, process, organization, person or other abstraction. For healthcare providers, digital twins provide an abstraction of the healthcare ecosystem’s component characteristics and behaviors. These are used in combination with other real-time health system (RTHS) capabilities to provide real-time monitoring, process simulation for efficiency improvements, population health and long-term, cross-functional statistical analyses.
Digital twins have the potential to transform and accelerate decision making, reduce clinical risk, improve operational efficiencies and lower cost of care, resulting in better competitive advantage for HDOs. However, digital twins will only be as valuable as the quality of the data utilized to create them. The digital twin of a real-world entity is a method to create relevance for descriptive data about its modeled entity. How that digital twin is built and used can lead to better-informed care pathways and organizational decisions, but it can also lead clinicians and executives down a path of frustration if they get the source data wrong. The underlying systems that gather and process data are key to the success for digital twin creation. Get those systems right and digital twins can accelerate care delivery and operational efficiencies.
Twins in Healthcare Delivery
The fact is that HDOs have been using digital twins for years. Although rudimentary in function, digital representations of patients, workflow processes and hospital operations have already been applied by caregivers and administrators across the HDO. For example, a physician uses a digital medical record to develop a treatment plan for a patient. The information in the medical record (a rudimentary digital twin) along with the physician’s experience, training and education combine to provide a diagnostic or treatment plan. Any gaps in information must be compensated through additional data gathering, trial-and-error treatments, intuitive leaps informed through experience or simply guessing. The CIO’s task now is to remove as many of those gaps as possible using available technology to give the physician the greatest opportunity to return their patients to wellness in the most efficient possible manner.
Today, one way to close those gaps is to create the technology-based mechanisms to collect accurate data for the various decision contexts within the HDO. These contexts are numerous and include decisioning perspectives for every functional unit within the enterprise. The more accurate the data collected on a specific topic, the higher the value of the downstream digital twin to each decision maker (see Figure 1).
Figure 1: Digital Twins Are Only as Good as Their Data Source
HDO CIOs and other leaders that base decisions on poor-quality digital twins increase organizational risk and potential patient care risk. Alternatively, high-quality digital twins will accelerate digital business and patient care effectiveness by providing decision makers the best information in the correct context, in the right moment and at the right place — hallmarks of the RTHS.
Benefits and Uses
Digital Twin Types in Healthcare Delivery
Current practices for digital twins take two basic forms: discrete digital twins and composite digital twins. Discrete digital twins are the type that most people think about when approaching the topic. These digital twins are one-dimensional, created from a single set or source of data. An MRI study of a lung, for example, is used to create a digital representation of a patient that can be used by trained analytics processes to detect the subtle image variations that indicate a cancerous tumor. The model of the patient’s lung is a discrete digital twin. There are numerous other examples of discrete digital twins across healthcare delivery, each example tied to data collection technologies for specific clinical diagnostic purposes. Some of these data sources include vitals monitors, imaging technologies for specific conditions, sensors for electroencephalography (EEG) and electrocardiogram (ECG). All these technologies deliver discrete data describing one (or very few) aspects of a patient’s condition.
Situational awareness is at the heart of HDO digital twins. They are the culmination of information gathered from IoT and other sources to create an informed, accurate digital model of the real-world healthcare organization. Situational awareness is the engine behind various “hospital of the future,” “digital hospital” and “smart patient room” initiatives. It is at the core of the RTHS.
Digital twins, when applied through the RTHS, positively impact these organizational areas (with associated technology examples — the technologies all use one or more types of digital twins to fulfill their capability):
Care delivery:
Clinical communication and collaboration
Next-generation nurse call
Alarms and notifications
Crisis/emergency management
Patient engagement:
Experiential wayfinding
Integrated patient room
Risks
Digital Twin Usability
Digital twin risk is tied directly to usability. Digital twin usability is another way of looking at the issue created by poor data quality or low data point counts used to create the twins. Decision making is a process that is reliant on inputs from relevant information sources combined with education, experience, risk assessment, defined requirements, criteria and opportunities to reach a plausible conclusion. There is a boundary or threshold that must be reached for each of these inputs before a person or system can derive a decision. When digital twins are used for one or many of these sources, the ability to cross these decision thresholds to create reasonable and actionable conclusions is tied to the accuracy of the twins (see Figure 2).
Figure 2: Digital Twin Usability Thresholds
For example, the amount of information about a patient room required to decide if the space is too hot or cold is low (due to a single temperature reading from a wall-mounted thermostat). In addition, the accuracy or quality of that data can be low (that is, a few degrees off) and still be effective for deciding to raise or lower the room temperature. To decide if the chiller on the roof of that patient wing needs to be replaced, the decision maker needs much more information. That data may represent all thermostat readings in the wing over a long period of time with some level of verification on temperature accuracy. The data may also include energy load information over the same period consumed by the associated chiller.
If viewed in terms of a digital twin, the complexity level and accuracy level of the source data must pass an accuracy threshold that allows users to form accurate decisions. There are multiple thresholds for each digital twin — based on twin quality — whether that twin is a patient, a revenue cycle workflow or hospital wing. These thresholds create a limit of decision impact; the lower the twin quality the less important the available decision for the real-world entity the twin represents.
Trusting Digital Twins for HDOs
The concept of a limit of detail required to make certain decisions raises certain questions. First, “how does a decision maker know they have enough detail in their digital twin to take action based on what the model is describing about its real-world counterpart?” The answer lies in measurement and monitoring of specific aspects of a digital twin, whether it be a discrete twin, composite twin or organization twin.
Users must understand the inputs required for decisions and where twins will provide one or more of the components of that input. They need to examine the required decision criteria in order to reach the appropriate level of expected outcome from the decision itself. These feed into the measurements that users will have to monitor for each twin. These criteria will be unique to each twin. Composite twins will have unique measurements that may be independent from the underlying discrete twin measurement.
The monitoring of these key twin characteristics must be as current as the target twin’s data flow or update process. Digital twins that are updated once can have a single measurement to gauge its appropriateness for decisioning. A twin that is updated every second based on event stream data must be measured continuously.
This trap is the same for all digital twins regardless of context. The difference is in the potential impact. A facilities decision that leads to cooler-than-desired temperatures in the hallways pales in comparison to a faulty clinical diagnosis that leads to unnecessary testing or negative patient outcomes.
All it takes is a single instance of a digital twin used beyond its means with negative results for trust to disappear — erasing the significant investments in time and effort it took to create the twin. That is why it is imperative that twins be considered a technology product that requires constant process improvement. From the IoT edge where data is collected to the data ingestion and analytics processes that consume and mold the data to the digital twin creation routines, all must be under continuous pressure for improvement.
Recommendations
Include a Concise Digital Twin Vision Within the HDO Digital Transformation Strategy
Digital twins are one of the foundational constructs supporting digital transformation efforts by HDO CIOs. They are digital representations of the real-world entities targeted by organizations that benefit from the advances and efficiencies technologies bring to healthcare delivery. Those technology advances and efficiencies will only be delivered successfully if the underlying data and associated digital twins have the appropriate level of precision to sustain the transformation initiatives.
To ensure this attention to digital twin worthiness, it is imperative that HDO CIOs include a digital twin vision as part of their organization’s digital transformation strategy. Binding the two within the strategy will reinforce the important role digital twins play in achieving the desired outcomes with all participating stakeholders.
Building new capabilities — APIs, artificial intelligence (AI) and other new technologies enable the connections and automation that the platform provides.
Leveraging existing systems — Legacy systems that an HDO already owns can be adapted and connected to form part of its digital platform.
Applying the platform to the industry — Digital platforms must support specific use cases, and those use cases will reflect the needs of patients, employees and other consumers.
Create a Digital Twin Pilot Program
Like other advanced technology ideas, a digital twin program is best started as a simple project that can act as a starting point for maturity over time. Begin this by selecting a simple model of a patient, a department or other entity tied to a specific desired business or clinical outcome. The goal is to understand the challenges your organization will face when implementing digital twins.
The target for the digital twin should be discrete and easily managed. For example, a digital twin of a blood bank storage facility is a contained entity with a limited number of measurement points, such as temperature, humidity and door activity. The digital twin could be used to simulate the impact of door open time on temperature and humidity within the storage facility. The idea is to pick a project that allows your team to concentrate on data collection and twin creation processes rather than get tied up in specific details of the modeled object.
Begin by analyzing the underlying source data required to compose the digital twin, with the understanding that the usability of the twins is directly correlated to its data’s quality. Understand the full data pathway from the IoT devices through to where that data is stored. Think through the data collection type needed for the twin, is discrete data or real-time data required? How much data is needed to form the twin accurately? How accurate is the data generated by the IoT devices?
Create a simulation environment to exercise the digital twin through its paces against known operational variables. The twin’s value is tied to how the underlying data represents the response of the modeled entity against external input. Keep this simple to start with — concentrate on the IT mechanisms that create and execute the twin and the simulation environment.
Monitor and measure the performance of the digital twin. Use the virtuous cycle to create a constant improvement process for the sample twin. Experience gained through this simple project will create many lessons learned and best practices to follow for complex digital twins that will follow.
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Health Technology, Digital Healthcare
Article | September 7, 2023
Explore the evolution of healthcare by diving deep into these EHR trends, as they pave the way for the future of EHR. Embrace cutting-edge solutions to enhance patient care and optimize operations.
1. Introduction
2. Significance of EHR Trends
3. Top 10 EHR Trends Shaping the Healthcare Industry
3.1 EHR Interoperability
3.2 Patient-reported Outcome
3.3 Patient Portals
3.4 Generative AI
3.5 Cloud-based EHR
3.6 Voice-enabled EHRs
3.7 Predictive Analytics
3.8 Robotic Process Automation
3.9 Telehealth-EHR Integration
3.10 Blockchain for EHR Data Integrity
4. Future Scope
1. Introduction
Electronic health records (EHRs) have transformed the medical industry by revolutionizing how medical information is recorded, accessed, and utilized. This article focuses on the EHR trends and innovations that have reshaped the healthcare field, paving the way for a more efficient and patient-centric future.From enhanced interoperability to cutting-edge technologies, professionals can unravel the key trends propelling future of EHR toward a new era of healthcare delivery.
2. Significance of EHR Trends
The importance of EHR software technology trends is highlighted by their transformative influence on the healthcare sector. This transformation was further expedited by the impact of the COVID-19 pandemic, which played a critical role in the increased adoption of telehealth services. As the pandemic necessitated alternatives to in-person visits, the demand for efficient and remote medical services surged, propelling telehealth to the forefront. Yet, looking beyond pandemic responses, the ongoing adoption of EHR trends in healthcare can significantly reshape how healthcare functions. Embracing these EHR trends enhances efficiency, facilitates personalized care, improves data exchange, drives data-driven insights, and empowers patient engagement. Irrespective of global events, it remains essential for healthcare facilities to stay abreast of these trends to remain adaptable and deliver optimized care, ultimately benefiting both providers and patients.
3. Top 10 EHR Trends Shaping the Healthcare Industry
Recognizing significant industry trends becomes crucial in a field that is constantly subject to technological advancement and global change. From adopting advanced technologies to prioritizing sustainability and customer-centric approaches, these EHR trends hold the power to bring about significant transformations across the healthcare sector.
3.1 EHR Interoperability
EMRs face a notable limitation in their ability to integrate with other systems, whereas EHRs offer robust interoperability, enabling seamless data exchange among healthcare facilities. As the demand for interoperability grows, the distinction between EMRs and EHRs becomes increasingly blurred, with vendors referring to products as EMRs that closely resemble what was initially known as EHRs. In response to this trend, developers and IT specialists continually update EHR systems to comply with interoperability policies, making EHRs more appealing for organizations seeking comprehensive and connected healthcare records.
3.2 Patient-reported Outcome
Patient-reported outcome or PRO EHR integration involves incorporating patient-reported outcome measures into electronic health record systems. PROs gather information directly from patient records about their health status, symptoms, and quality of life. These insights provide valuable subjective data for healthcare providers. For orthopedic patients at the clinic, completing surveys on their smartphones via a mobile link is easy. Clinicians can access patient responses during or after appointments to offer tailored care recommendations based on survey readings. Access to patient-reported outcome data empowers clinicians to deliver patient-centered care, fostering greater patient involvement in their treatment journey.
3.3 Patient Portals
Patient portals in EHRs are pivotal in modern healthcare practices as the industry embraces digital transformation. Patient portals within EHR systems are crucial to empowering individuals and facilitating communication between patients and healthcare professionals. These portals enable patients to access their personal health information securely. Patients can schedule appointments, ask questions, and even have virtual consultations, making healthcare more accessible and patient-centered. With improved communication and engagement, patient portals bridge the gap between individuals and healthcare professionals.
3.4 Generative AI
Integrating generative AI tools with Electronic Health Record systems holds immense promise for advancing healthcare industry. Generative AI can significantly enhance EHR software precision and overall technology, resulting in streamlined daily workflows and enabling healthcare providers to prioritize patient care. By utilizing patterns and structures from existing data to create new content resembling the training data, generative AI brings valuable improvements to EHR systems. These benefits include efficiently filling in missing data, enhancing clinical decision support, automating documentation and coding processes, and ensuring billing accuracy, thereby alleviating the burden on healthcare providers.
3.5 Cloud-based EHR
Cloud computing is gaining traction as medical organizations explore the benefits of outsourcing administrative and clinical services, including medical billing, reporting, lab integration, and more. With the increasing adoption of EHR systems, the advantages of easy access to patient data have become crucial. As the patient population continues to grow, the complexity of data rises, demanding solutions that ensure secure storage and accessibility. Embracing cloud-based infrastructure becomes imperative in this scenario, granting healthcare professionals the flexibility to access data using tablets or smartphones safely. This integration empowers clinicians to enhance their productivity in the clinical environment, laying the groundwork for long-term success by offering mobility solutions that cater to evolving healthcare demands.
3.6 Voice-enabled EHRs
Integrating voice recognition technology with EHR systems is a significant advancement for clinicians. By allowing hands-free input of information and patient data, voice recognition technology reduces inaccuracies and speeds up information recording. Additionally, with the support of AI, EHRs equipped with voice recognition can assist doctors in recognizing historical patient trends and making accurate diagnoses. As companies strive to incorporate AI into EHRs through voice-enabled technology, physicians can effortlessly access patient data and inquire about specific health parameters, such as the last recorded iron levels from a blood test. This streamlined approach improves efficiency and enhances the overall healthcare experience and decision-making process.
3.7 Predictive Analytics
Predictive analytics applications have become a significant driving force within the healthcare industry, yielding profound impacts on diverse areas, including cancer treatments and emergency staffing optimization. As the field continues to evolve, the adoption of predictive analytics technology is expected to expand further. Specialized healthcare app development services utilize AI-powered analytic methods, such as statistics, data mining, and modeling, in conjunction with AI capabilities to offer clinical outcome predictions based on real-time device data and electronic health records. This integration aims to elevate the patient experience and improve care delivery, equipping healthcare professionals with valuable insights to make more informed and proactive care decisions.
3.8 Robotic Process Automation
Robotic Process Automation (RPA) is driving the expansion of the automated data capture market for electronic health records worldwide, owing to its ability to enhance workflows and ensure increased accuracy. By automating data capture through robot-based processes, RPA eliminates the need for manual data entry, leading to improved precision. In the healthcare industry, RPA serves as an effective technique to address EHR flaws without requiring a complete system redesign, permitting the utilization of digital labor to preserve efficient processes while resolving underlying issues. By employing system algorithms and programs, RPAs efficiently automate tasks typically carried out by human resources, accelerating the digitization of medical facilities and promptly addressing imperfections.
3.9 Telehealth-EHR Integration
Integrating EHR systems with telehealth platforms revolutionizes healthcare by facilitating remote care and streamlining clinical workflows. This alliance will enable medical organizations to deliver high-quality patient care from a distance while ensuring the swift and secure transfer of patient information between systems and interfaces. The combined power of telehealth and EMR systems enhances virtual care activities, automates data entries, and synchronizes insurance information in a single window, thus optimizing efficiency and productivity for healthcare providers and their staff. Moreover, this integration strengthens patient-physician engagement and fosters seamless collaboration among healthcare teams.
3.10 Blockchain for EHR Data Integrity
While blockchain technology gained prominence through its association with cryptocurrency, its application in healthcare is steadily gaining momentum. By utilizing cryptography, blockchain ensures the utmost security and integrity of EHR data, limiting access to authorized individuals only. In healthcare, blockchain brings value, from validating clinical trials and verifying claim results to monitoring medicine distribution, authenticating prescriptions, and combating insurance fraud. Additionally, smart contracts leverage blockchain to automate actions based on predetermined outcomes, reducing the need for extensive human involvement. Although the adoption of blockchain in healthcare technology is still in its early stages, several EHR systems have already incorporated it to enhance security, scalability, and confidentiality measures.
4. Future Scope
The convergence of IoT devices and big data technology is set to revolutionize the healthcare experience, offering unprecedented digitization and patient engagement. The disruptions brought on by the COVID-19 pandemic have underscored the need for healthcare institutions to adapt and embrace technological advancements. Careful selection of the right EHR system is crucial for healthcare organizations, and a structured approach that involves key stakeholders, requirements definition, vendor evaluation, and implementation planning is essential for successful EHR implementations. The ultimate goal remains to enhance patient care, streamline workflows, and achieve operational efficiencies. While EHRs have already made significant strides in the industry, the future of electronic health records holds even more excellent benefits and technological impact, with healthcare mobile app developers playing a vital role in the value-based healthcare model and preparing for EHR optimization.
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Article | April 17, 2021
The healthcare industry is witnessing an unparalleled phase of expansion and vitality. It is a phase of radical revolution due to the wake of digital transformation. Digital transformation has opened up enormous unique opportunities that were unimaginable until a few years back.
These digital trends are bringing companies and individuals together. Data is the starting point of the digital revolution. These data are then transformed into relationships. Today, including healthcare companies, the success of every company is at stake. In other words, it is how you communicate with customers that matters.
This blog is all about healthcare digital communication, especially healthcare video marketing.
We’ll start by looking at data that demonstrates the power and effectiveness of the video marketing medium. There is nothing equal to the power and efficacy of video marketing in our world today. Then, we’ll look at the video marketing best strategies, healthcare video marketing best practices, and successful examples for healthcare video marketing.
There’s Nothing More Effective than Video Marketing
Here are some numbers that alone demonstrate why video is the most effective marketing medium in the digital age:
More than 5 billion videos are viewed on Youtube every day;
78% of online users watch at least one video every week. And 55% watch one every day;
According to estimates by Cisco, by 2022, 82% of all internet traffic will be generated by video. This percentage was already 72.3% in 2017;
When it comes to video, 55% of people pay more attention than any other type of content;
when viewing a video, the average user retains 95% of the message it contains; this percentage goes down to 10% when we talk about the text;
about 100 million hours of video watched every day on Facebook;
82% of registered Twitter users consume video content constantly;
on Instagram, posts containing video record 38% higher engagement on average than posts containing images;
54% of consumers say they want to see more videos from the brands they follow and support.
Such statistics are compelling for brands, and brands are taking notice. As a result, brands are moving to implement videos as much as possible in their marketing strategies, with excellent results. Two statistics below offer additional proof:
87% of marketing professionals use video in their strategy.
88% of marketers are satisfied with the ROI generated by video marketing campaigns.
This collection of data proves one thing: video is the most effective tool for healthcare digital marketing. And this also applies to the Healthcare sector. It’s even more accurate for this sector, which is intimately involved with consumers as part of their daily lives. Thus, healthcare video marketing is much effective and should be included in your healthcare marketing plan.
Strategies and Best Practices of Healthcare Video Marketing
So, let’s take a closer look at how we can build a video marketing strategy in the Healthcare sector, the fundamental points that must be included, the best practices, and some examples of success.
Start from education
It is often said that we live in the information age. Today, as never before, we have access to all the information we could need in just a few seconds, maybe with just a few taps on our smartphone during a coffee break. Health information is undoubtedly among the most sought-after online. In Italy alone, web searches made on this topic are 4 billion per year, a constantly growing trend.
The downside of all of this is the difficulty of finding your way around this mass of information, which is sometimes complex, misleading, or even untrue. That is why the first task of a company in the Healthcare sector is education. Education is not just a responsibility; and it’s also an opportunity.
In this sense, healthcare videos marketing prove to be the best ally. Healthcare video marketing is a way to provide the consumer with an effortless way to have access to transparent, precise, and authoritative information from your brand. That can be the first step toward establishing a relationship of trust with your brand.
Be clear, but also calm
In this case, let’s start immediately with an exciting and practical example. Targeted toward their younger patients, Miami Children’s Hospital created a healthcare video marketing campaign that explains what happens before, during, and after heart surgery. Understandably, this is a sensitive topic. With this effort of healthcare video marketing, the Miami Children’s Hospital manages to achieve the complex objective of providing clear and authoritative information while at the same time reassuring the viewer.
How?
They make the healthcare video marketing campaign compelling, authoritative, and reassuring by showing the faces of its staff members, demonstrating their professionalism, the environment, the healthcare technologies used, and everything related to the surgery. In this way, the high level of preparation and humanity of the people involved stand out to the viewer.
Learn to be engaging
As we saw above, you have to know how to correctly inform and educate your audience using influential healthcare video marketing trends, all with a calm demeanor. However, it’s also true that success also depends on your ability to excite and involve the viewer for healthcare video marketing in the sector. In short, the keyword is ‘storytelling.
An excellent example is the healthcare video marketing campaign carried out by the dental health department of Bupa UK and addressed to children (but applicable and reachable to adults as well). Through a great use of animations and storytelling, the brand uses the well-known story of the tooth fairy and associates it with childhood memories. This healthcare video marketing campaign has proven to be an excellent vehicle for establishing a truly intimate relationship with the viewer (and, not surprisingly, the video has exceeded 1.3 million views on YouTube).
Another effective way to be direct and engaging is to use influencers in your healthcare video marketing campaigns. An exciting example is the Australian pole vaulter, Amanda Bisk, diagnosed with chronic fatigue syndrome. On her Instagram channel, Bisk talks about her path to fight the disease through fitness, and she has quickly become one of the most famous figures in Healthcare on the platform.
It’s important to note that today, more and more brands target top influencers and micro-influencers. Micro-influencers have a much smaller yet targeted and loyal following of fans. Therefore, their healthcare video marketing messages are perceived by the public as more authentic and personal.
Personalization
94% of marketers believe that personalization is crucial for the future of the business in which it moves. But what do we mean when we talk about personalization?
First of all, it’s not something new: knowing your audience has always been the best way to make a profit, calibrate your communication and your “tone of voice,” and increase engagement and loyalty. But what is the turning point of personalization today?
It is a digital turning point. Today, we all leave traces online at every moment: geolocation, Google searches, preferences on social networks, apps (which in Healthcare are increasingly widespread), and so on. We are talking about a vast amount of data that benefits both companies and consumers from a win-win perspective.
Therefore, it’s a matter of utilizing efficient systems to collect this data, dynamic systems designed with an omnichannel approach in mind. From the collection, the next step is to analyze and interpret this information. Then, you will want to divide your audience into many micro-targets with homogeneous and consistent characteristics to target with tailored communications and offers.
In conclusion, these facts are all the more true in a sector like healthcare that impacts people’s daily lives. The best healthcare video marketing strategy for brands can only be to get closer and closer to customers. That is precisely where specialized companies like us, Media7, come into play. Through compelling B2B healthcare video marketing efforts, we create opportunities for interaction and the possibility to insert custom calls to action.
FREQUENTLY ASKED QUESTIONS
What is a video marketing strategy?
Video marketing strategy is creating, curating, and utilizing videos for marketing products and services of companies to the targeted audience. Marketing teams design the strategy. The idea behind the strategy is to keep the audience engaged with the brand.
Are videos effective for health tech marketing?
Videos are much effective for health tech marketing as people prefer to watch things than reading. Also, people are likely to trust what they see than reading. Videos are the highly impactful medium of marketing for any domain of business, including healthcare.
How to start with healthcare video marketing?
The first step to healthcare video marketing is to define your video marketing strategy. Fix and analyze the target audience to understand the online behavior trends to get an idea about their video engagements and clicks on various social media channels.
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