Digital Healthcare
Article | November 29, 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
Article | September 12, 2023
Introduction
Over the past couple of years, there has been a substantial rise in the burden of chronic conditions and treatment costs, along with the growing elderly population, which is transforming the healthcare sector at a rapid pace. As per a study, healthcare spending across the globe is anticipated to reach an unprecedented value to total US$ 18.3 trillion by 2030. In response to these trends, volume-based payment models are being replaced by outcome- or value-based models.
Predictive analytics helps health organizations to get in line with these new models and improve patient care and outcomes. From predicting critical conditions such as heart failure and septic shock to preventing readmissions, the recent advancements in big data analytics are boosting the adoption of new predictive analytics solutions that aid clinicians improve outcomes and cut costs.
Predictive analytics in healthcare is most helpful with clinical care, administrative tasks, and managing operations. More importantly, the technology is already making a difference in a wide range of healthcare settings, from small private doctor's offices and large academic hospitals to healthcare insurance companies.
How is Growing Healthcare Data Favoring the Penetration of Predictive Analytics?
The growing inclination toward digitalization in the healthcare industry has led to the creation of huge new data sets. These include radiology images, electronic medical record (EMR) systems, lab results, and health claims data. The amount of data is expected to reach new avenues with increasing genomics and cytogenesis research data in the near future.
New data is being generated and collected by the novel medical devices at the edge, such as monitors and patient wearables. In addition, outside the healthcare setting, patients are generating quasi-health data through the use of health monitoring applications, fitness trackers, and personal wearable devices.
By using data from these sources, health care providers can find new ways to use predictive modeling for health risks, predictive analytics for medical diagnosis, and prescriptive analytics for personalized medicine.
Predictive analytics has become a crucial component of any strategy for health analytics. Today, it's an essential tool for measuring, combining, and making sense of biometric, psychosocial, and behavioral data that wasn't available or was very hard to get a hold of until recently. Here are some of the applications of predictive analytics for healthcare
Identifying Patients at Risk
Clinical Predictions
Disease Progression and Comorbidities
Predicting Length of Stay
Speeding Treatment of Critical Conditions
Reducing Readmissions
The Future Story
With the growing prominence of innovative technologies across the healthcare industry, a number of health IT providers are focusing on developing their own analytics software and engines to assist healthcare spaces deliver optimal patient care.
For instance, in 2020, Eversana, a U.S.-based provider of innovative solutions to the life sciences industry, announced the introduction of its ACTICS predictive analytics solution, which enables clinical spaces to combine multiple data sources into a single comprehensive system.
Also, some U.S. companies are partnering with healthcare institutions to develop proprietary algorithms designed to enhance organizational performance, improve clinical care, and increase operational efficiency. Such developments are projected to increase the popularity of predictive analytics solutions in the healthcare sector in the coming years.
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Health Technology, Digital Healthcare
Article | September 7, 2023
Delve into the EHR tools reshaping the healthcare industry for an efficient and patient-centric future. Unlock streamlined workflows and data-driven decision-making through these EHR software tools.
Adopting an EHR tool has become crucial for clinics and healthcare providers striving to revolutionize their operations and deliver a high standard of care. These innovative EHR software tools possess the potential to transform healthcare workflows, enabling clinics to optimize processes, streamline operations, and provide an exceptional level of care to patients. From facilitating seamless communication and improving operational efficiency to enhancing patient satisfaction, EHR tools unlock possibilities for improved operations, accurate claims processing, and enhanced financial management within practices.
This article explores the top 10 electronic health record tools that are reshaping the healthcare industry and paving the way for a more efficient and patient-centric future.
1. Avalon EHR
It is an EHR evaluation tool that prioritizes robust physician-patient engagement, setting it apart from complex electronic health record (EHR) systems. With an unwavering focus on reliability and security, Avalon offers a cutting-edge solution for the future of healthcare. Its key features include CureMD's clinical overview, which presents alarms, trends, and patient histories on a single screen, ensuring comprehensive insights. The platform also boasts a specialized rheumatology section with templates for typical symptoms, simplifying documentation processes. Furthermore, Avalon provides regular updates for various medical specialties following CPT and ICD codes, ensuring compliance, proper medical procedures, and diagnosis recording. Notably, it supports automated overnight transcription of dictations into templates, significantly reducing the time and billing service partners' costs associated with finding and documenting clinical findings.
2. AdvancedBiller
The AdvancedBiller Grow program offers medical billing companies a comprehensive and advantageous solution, combining industry-leading software solutions with exclusive partner benefits. This program is designed to drive optimal outcomes by providing a unified practice management workflow, excellent support, free promotional opportunities, and competitive, scalable pricing. With a focus on boosting performance and profitability, AdvancedBiller equips businesses with the necessary tools to excel in their field. The program features custom health plans that assist doctors in managing individual patient needs based on age, sex, and lab findings. Additionally, it offers customizable note-taking templates to align with specific workflows and preferences. This EHR tool also facilitates telemedicine appointments, enabling patients to communicate face-to-face with their doctors and receive important notifications. Furthermore, the program enhances data management by allowing doctors to save sensitive information and screenshots during conference calls securely. By leveraging the AdvancedBiller Grow program, medical billing companies can optimize operations, deliver superior care, and achieve notable success.
3. Halemind
EHR integration tools, such as Halemind, present a game-changing solution that enables clinics to elevate their operations and provide superior patient care. This comprehensive platform offers many features, including appointment scheduling, patient registrations, check-ins, consultations, prescriptions, billing, and reporting, all aimed at delivering a seamless customer experience. With Halemind, clinics can transform their business and scale up their operations. The platform also provides specialized functionalities for pharmacies, allowing real-time access to customer histories, order tracking, invoicing, and supplier management. In addition, hospitals can benefit from Halemind's capabilities, such as operations planning, invoicing, payment collection, patient sample tracking, and customizable data display. Medical facilities can further enhance their efficiency by utilizing its in-patient module for managing wards, rooms, and beds and generating discharge reports.
4. SIMPLEX HIMES Patient Portal
SIMPLEX HIMES software incorporates an optional yet powerful feature, the Patient Portal and Mobile Application, designed to revolutionize patient engagement and communication. This EHR tool seamlessly integrates with existing websites, providing healthcare facilities with a comprehensive EHR tool to enhance the patient experience. The Patient Portal enables efficient control of patient intake, bed availability monitoring, operating room scheduling, and centralized patient demographic management within hospitals. The software streamlines operations for pathology labs by managing information about referral laboratories, generating barcodes for sample tracing, and delivering timely test result alerts via email or text. Additionally, patients benefit from self-service portals, empowering them to conveniently schedule appointments, access medical records, locate service provider locations, and communicate with their doctors.
5. Patient Engagement
The Patient Engagement tool offers patients unparalleled access to their personal health information, visit summaries, and lab results, empowering them to take an active role in their healthcare journey. With the help of this EHR tool, patients can conveniently book appointments online using the healow Open Access feature, efficiently manage their medications, and engage in secure messaging with their healthcare providers. In addition, the eCW software utilized within the tool provides organized data capture, trend analysis, and customizable documentation options for various healthcare specialties. Clinicians can effortlessly retrieve any aspect of the patient record through the Patient Hub, ensuring complete and efficient access to vital information. Furthermore, eClinicalWorks Version 11 introduces Eva, a computer program that assists physicians in evaluating patient records, leveraging details from the Progress Note tool and data flowsheets. This advanced functionality enhances clinical decision-making and promotes efficient patient care.
6. Electronic Prescription
The Electronic Prescription tool revolutionizes prescription management in the healthcare industry, offering a seamless and efficient solution for healthcare providers. This advanced software streamlines the prescription process by eliminating traditional prescription pads, enhancing convenience and accuracy. AllegianceMD, integrated within the tool, enables patients to fill out their history and demographic information online within defined clinic limits, facilitating seamless integration of patient information. This EHR tool encompasses a range of features, including an active/inactive medicine list, e-refill requests, an allergy list, and comprehensive drug interaction checks. The software also includes a lab module for efficiently tracking test results and follow-ups. With its extended functionalities, the Electronic Prescription tool elevates prescription management, promoting patient safety and enhancing workflow efficiency for healthcare providers.
7. Telehealth
WRS Health Telehealth offers healthcare providers and patients a secure and reliable virtual care experience. With seamless integration into the electronic health record (EHR), this comprehensive telehealth platform provides a single platform for managing virtual patient encounters. Designed with ease of use in mind, both patients and providers can navigate the user-friendly interface effortlessly. This EHR comparison tool is a safe alternative to in-office visits, offering private and secure online consultations that comply with HIPAA regulations. This telehealth solution ensures a smooth and efficient workflow with its seamless integration of clinical and revenue cycle management (RCM) functionalities.
8. Practice Management for Billing Companies
The Practice Management tool offered by SequelMed is a comprehensive solution that streamlines operations and enhances efficiency in healthcare practices. This advanced tool automates various tasks, including billing, claim processing, revenue management & clinical procedures, and generates analytical reports for comprehensive insights, with the option of bundled or separate programs for electronic health records and practice management. The software provides interoperability with imaging systems and medical equipment through HL7 and DICOM interfaces, offering flexibility in deployment options with on-site or cloud hosting. In addition to its core functionalities, it enhances patient engagement with real-time communication, online patient registration, active prescription lists, immunization schedules, and a patient portal. The Practice Management Tool simplifies computerized prescription processes and promotes connectivity across healthcare systems, enabling healthcare providers to optimize their operations and deliver efficient, patient-centered care.
9. Medical Practice Management Software
The Practice Management Software offers healthcare providers a powerful solution to streamline operations, ensure accurate claims processing, and expedite reimbursement cycles. With its intuitive design and comprehensive features, this software empowers practices to take control of their operations and optimize efficiency. Users can benefit from the HIPAA-compliant claims clearinghouse provided by NueMD, allowing for the seamless processing of unlimited claims. The software makes it easier to submit paper claims by reducing it to a single click, and it also simplifies payment transactions by incorporating credit card processing. Additionally, the ONC-ATCB-certified EHR enhances clinical workflow by providing charting capabilities, e-prescribing, laboratory report monitoring, and secure fax management.
10. LiquidEHR
LiquidEHR is a cloud-based electronic health record (EHR) solution ideal for small and midsize optometry practices. It offers a range of features to manage medical records, scheduling, and billing effectively. The software includes specialized tools specific to optometry, such as historical IOP charts, drawing tools, built-in eye charts, frames data integration, and image management. Clinicians using LiquidEHR have access to electronic insurance filing tools, patient recalls, drug interactions and allergy checks, problem lists, medication recommendations, educational resources, vital signs monitoring, and more. The system also ensures data security through access controls, audit logs, and encryption features.
Future Scope
By staying informed about the top EHR tools highlighted in this article, medical practitioners can unlock streamlined workflows, improved communication, and data-driven decision-making to optimize clinical practices and deliver exceptional patient care. The future of EHR assessment tools looks promising, with emerging trends like artificial intelligence, machine learning, interoperability, and telehealth shaping the way forward. By embracing these advancements, healthcare professionals can stay ahead of the curve, maximize operational efficiency, and position themselves for success in the healthcare industry.
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Health Technology
Article | July 3, 2023
The medical field has undergone a significant amount of change during the past few years, and it’s clear that healthcare consumers are seeking digital experiences. Meeting this need by providing virtual care options can not only remove barriers to quality healthcare but also reduce stress on the healthcare system.
At the same time, how can medical providers offer digital care options, and how can doing so drive revenue growth?
Allow online scheduling to increase appointment volume
If you have ever spent hours on hold, you know how frustrating it can be. In the same way, if patients are left on hold for too long, they will most likely disconnect before a member of the team can assist them. This is why it’s crucial to allow patients to schedule their care online. Patients expect to attend medical appointments at a time that is convenient for them, which means they want to schedule those appointments at a time that is convenient for them as well. They do not want to spend time waiting on hold, only for someone on the other end of the phone to offer them appointments that do not work for them.
The solution would be for medical providers to invest in a digital phone solution that can maintain a virtual waiting room. These virtual waiting rooms allow patients to maintain their place in line, such as receiving a callback, making it easier for them to schedule appointments. Of course, an online booking option can be helpful as well. Most patients want to schedule their appointments when they are not at work, and an online booking option allows them to do so regardless of their business hours.
Don’t forget to consider the type of booking software you use as well. If you select booking software that will automatically sync with your scheduling system in the office, you can take a significant amount of stress off your front office staff.
Digital communication options are crucial
Tebra’s recent Patient Perspectives report indicates that the majority of patients (55%) want to be able to reach their medical providers quickly to get answers to their questions, even when they do not have an appointment scheduled. If you have two-way messaging software, you can streamline the flow between your patients and providers, which may reduce the number of appointments your patients need to book.
For example, patients can ask for prescription refills, run specific numbers by their medical providers, and get quick answers to questions about symptoms they might be experiencing. Not only does this support patients and nurture their loyalty, but it also alleviates unnecessary appointments from inundating providers’ schedules.
Take advantage of telehealth for additional revenue
Before the start of the COVID-19 pandemic, very few patients took advantage of telehealth. Now, nearly a quarter (about 25%) of all patients indicate that they have used telehealth during the past year, and many patients prefer this option.
The reality is that telehealth can remove barriers that would otherwise make it hard for patients to access care. They don't have to worry about taking time off work, arranging for child care, or driving a long distance to meet with a doctor.
While telehealth will never fully replace in-person visits, it can be an excellent option for cold and flu symptoms, mental health issues, and routine check-ins. By offering telehealth to your patients, you can make it much easier for them to access the care they need.
Modernize your revenue channels by taking advantage of digital healthcare
It’s obvious that the medical world is changing quickly, and digital aspects of care are here to stay. To ensure your practice can adequately meet your patients’ needs, take full advantage of everything in this article and ensure you have reliable digital care options. You can develop multiple revenue streams for your medical practice or system while maintaining high patient satisfaction rates and without adding to your workload.
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