Why do people need Medical Applications?

It is difficult to keep track of all the visits to the doctors, regular observations, and tests to stay healthy and not spend a lot of time on treatment. Fortunately, we live in an age where all you have to do is download a dedicated medical app, open it on your smartphone, and upload your data there. In this article, we’ll look at how healthcare app development can improve the patient’s experience with doctors and the treatment of diseases.

What do people expect from medical applications?

Medical applications allow patients to track every test and its result, every appointment with a doctor and written prescription, and manage the consultation date and time. Medical applications take healthcare management to a new level.

Easy way to use the app

Patients are looking for a smartphone app to help them save time when scheduling, changing, or canceling doctor visits. If it takes a lot of time and effort for patients to understand how the app works, they will most likely remove it. So, whether it’s making an appointment with a doctor or scheduling an online diagnosis, a successful mobile medical app is focused on making medicine more accessible by eliminating problems. A medical application should save a lot of time and effort for patients and doctors, not add to their problems.

Detailed and useful information

According to app download statistics, patients are showing great interest in mobile apps and health platforms. Patients download these apps because they provide benefits in return.

Patients want to have access to all the data that is relevant to their health. They also want to understand the reasons for feeling unwell, as well as know how to improve their situation. A good medical application should provide information about a specific problem and guide patients on the path to solving the problem.

Professional help is always available

Patients should be able to easily interact with healthcare providers through a mobile healthcare application. According to the study, in more than 70% of cases, patients can call their doctor or schedule a video call instead of going to the hospital.

Developing a solution that allows patients and doctors to interact will benefit both parties. Telemedicine services allow patients not only to save time but also financial resources. Moreover, in some cases, wasting time visiting the hospital can take away precious time that could be worth spending on treatment.

The social network of patients

Patients want to interact and communicate with each other. It is extremely important to include a social network element in your medical application.

Incorporating social aspects into your application provides several benefits. When a patient is diagnosed with a particular disease or condition, they tend to seek out people who have similar experiences. It makes patients feel needed and part of a caring community.

Connected additional devices

App-connected technologies like health trackers and smartwatches are all the rage right now. The medical gadget can track vital information such as heart rate, blood sugar, tremors, posture control, sleep cycles, and physical activity. This information can help patients better understand their condition, rethink their lifestyle, and give them more control over their health.

What influences the success of medical application development?

The process of developing a personal medical application, like any other application, begins with the definition of the target audience and includes typical steps:

  • competitor research;
  • definition of functions;
  • choice of technology stack;
  • writing code.

Understand your user

To determine the expectations of consumers, it is necessary to get to know your customers and target audience better. Many actions are simplified if you understand your user. Developing a superior product, defining product features, and developing a strategic and profitable marketing plan are all results of working with a target audience. Gather the necessary information about the user’s identity by conducting research and establishing critical demographic criteria.

Think about safety

Enhanced security is an important way to protect users’ sensitive health information. There are the following security improvement methods:

Two-factor authentication

To protect the user from various cyber threats, you can reduce the session mode in the application to a set time.

The processing and storing of patient data should be handled with care. It is not recommended to use fonts and design elements in a medical application that can attract the attention of strangers. This will minimize the possibility of data leakage when using the solution in public places.

Create a user-friendly UX design

Managing data in a medical application should be easy. Think about user flow and switching between screens. Show users only the information they need so you don’t overwhelm users. Use simple language to make things easy for users to understand. The medical application should not be associated with unknown terminology.

What features should be included in a medical application?

Any medical application should include the following important elements:

  1. Account authorization. Make this process quick and easy, but remember that it must be secure as you work with a lot of personal information.
  2. User profile. Users should be able to enter general information about them and change it as needed.
  3. Control. Users of a medical application should be able to manage all their data, quickly access it, and filter by date and category.
  4. Classification. Patients should be able to organize their medical records, as well as manage visits to specialists.
  5. Notifications. Users of the application should be able to receive notifications about upcoming appointments with doctors, as well as the availability of test results, etc.

Tips for building a powerful medical application

To sum up, here is a list of tips to help you create a powerful personal health app:

  1. Think about your customers and their needs. Always tailor the development process to the needs and expectations of users and provide them with an effective medical tool.
  2. Be simple. Convenient UX design and data visualization will not leave users indifferent.
  3. Security is above all. Make sure your customers’ data is protected.

Final thoughts

Developing a medical app is a great idea. Don’t give up just because of the high competition. The ability to control health in a mobile application is what users need. Langate is a company with 17 years of experience in developing Medtech solutions that will help you create a medical application. The company creates innovative products that automate business workflows, ensure customer data security, and improve patient outcomes. Langate covers the full cycle of healthcare app development from research to maintenance.

What is Computerized Provider Order Entry CPOE in Healthcare

If you work in healthcare, you’ve probably heard of CPOE software, or Computerized Provider Order Entry. But what is it, really? CPOE is a system that enables healthcare providers to place orders for medications and laboratory tests electronically, using a computer or mobile device.

What is Computerized Provider Order Entry (CPOE)?

Computerized Provider Order Entry (CPOE) is a system used by healthcare professionals to electronically enter and manage patient care orders. This includes prescriptions, laboratory and radiology tests, and referrals to other providers.

CPOE systems are designed to reduce the risk of errors that can occur when orders are handwritten or verbal. They can also help improve communication between providers and increase the efficiency of care delivery.

CPOE systems are not without their challenges, however. They can be complex to implement and use, and some research has raised concerns about their potential to contribute to provider burnout.

How can CPOE improve healthcare?

Provider order entry (CPOE) is a type of computer-assisted ordering system used by physicians and other healthcare providers to place orders for medications, laboratory tests, and diagnostic imaging studies. CPOE systems are designed to help improve patient safety and quality of care by reducing the potential for ordering errors and improving communication among care team members.

One of the primary benefits of CPOE is that it can help to reduce the occurrence of medication errors. In one study, CPOE was found to reduce medication errors by 55% compared to paper-based ordering systems. In another study, implementation of CPOE was associated with a 37% reduction in serious adverse events, such as medication errors, falls, and infection.

In addition to reducing medication errors, CPOE can also help to improve communication among care team members and improve coordination of care.

For example, CPOE systems can send alerts to physicians when test results are abnormal or when patients are due for follow-up care.

CPOE systems can also help to ensure that all members of the care team have access to the most up-to-date information about a patient’s condition.

What are the benefits of CPOE?

The benefits of CPOE are many, but the most important is that it can help to prevent medication errors. In a study done by the Institute of Medicine, it was estimated that there are more than 1.5 million medication errors in the United States each year. These errors can lead to serious injury or even death, so anything that can be done to reduce them is very important.

Other benefits of CPOE include:

  • Reduced costs: CPOE can help to reduce the cost of healthcare by reducing the need for duplicate tests and eliminating paper records.
  • Improved efficiency: CPOE can help to make the ordering of tests and medications more efficient, which can free up time for other tasks.
  • Improved patient safety: As mentioned above, CPOE can help to prevent medication errors, which can improve patient safety.
  • better communication: CPOE can help to improve communication between providers and staff, which can make coordinating care easier.
    How does CPOE work?

    CPOE is a type of software that allows doctors, nurses, and other providers to enter patient orders electronically. This process can include everything from medications and laboratory tests to imaging studies and referrals.

CPOE can be used for inpatient orders, which are entered into the patient’s medical record, as well as for outpatient orders, which are sent directly to the provider’s office or department. In some cases, CPOE systems may also be used to document provider notes and progress reports.

One of the main benefits of CPOE is that it can help to prevent errors by providing real-time decision support. For example, if a provider attempts to prescribe a medication that is contraindicated for a certain condition, the CPOE system will alert them of the potential error.

In addition, CPOE systems can help to streamline workflow and communication by providing electronic order sets and templates. This can reduce the time that providers spend on documentation and improve the efficiency of care delivery.

CPOE systems are often integrated with other healthcare information systems, such as electronic medical records (EMRs) and computerized physician order entry (CPOE) systems. This type of integration can further improve patient safety by providing a complete picture of the patient’s medical history and treatment plan.

How can CPOE be implemented in healthcare?

One way to implement CPOE in healthcare is to use a physician order entry (POE) system. This system would allow physicians to enter and track their own orders electronically. The physician order entry system would then route the orders to the appropriate staff for implementation. Another way to implement CPOE is to use a computerized provider order entry system (CPOE). This system would be similar to the POE system, but would also allow other health care providers, such as nurses and pharmacists, to enter and track orders electronically.

What are the challenges of CPOE implementation?

One of the biggest challenges of implementing CPOE in healthcare is getting all providers on board. CPOE can be a major change for providers who are used to a paper-based system, and it can be difficult to get them to buy into the new system. Another challenge is making sure that the CPOE system is user-friendly and easy to use. If providers find the system difficult to use, they are less likely to use it and it will not be as effective. Lastly, another challenge of CPOE implementation is making sure that there is adequate support and training for providers. Providers need to be properly trained on how to use the system in order to make it work effectively.

What is the future of CPOE in healthcare?

In order to ensure that providers are supplied with the most current information available, many healthcare organizations are moving toward computerized provider order entry (CPOE). CPOE is a technology that allows providers to enter patient orders directly into a computer system, which can then be transmitted to the appropriate department for fulfillment. This type of system is intended to reduce errors and improve efficiency in the ordering process.

One of the advantages of CPOE is that it can help to reduce the risk of medication errors. In one study, it was found that CPOE systems were associated with a 52% reduction in medication errors. Other benefits of this type of system include improved communication between providers and pharmacies, as well as reduced transcription costs.

One potential disadvantage of CPOE is that it may require a significant investment of time and money to implement. Additionally, some providers may resist using this type of system because it requires them to change the way they have been used to ordering patients’ medications. In order for CPOE to be successful, it is important that healthcare organizations provide adequate training and support to providers during the transition period.

How can CPOE be used to improve patient safety?

There are many ways in which CPOE can be used to improve patient safety. One way is by reducing the potential for human error. When orders are entered into a computer system, there is less chance for mistakes to be made. For example, if a doctor enters an order for a medication that is to be given three times a day, the computer will automatically calculate the correct amount of medication to dispense and will send this information to the pharmacy. This reduces the likelihood that the wrong amount of medication will be given to the patient.

Another way CPOE can improve patient safety is by providing decision support to physicians. For example, if a physician wants to prescribe a medication that has potentially dangerous side effects, the CPOE system can provide information about these side effects and alternative medications that may be safer for the patient. This information can help the physician make a more informed decision about which medication to prescribe.

CPOE systems can also help to improve communication between different members of the healthcare team. For example, when test results are entered into a CPOE system, they can automatically be routed to the physician who ordered the test. This eliminates the need for manual faxing or mailing of test results, which can often lead to delays in treatment.

How Decision Support Systems Benefit the Healthcare Industry

If you’re looking for a way to improve patient care and make your healthcare organization run more efficiently, you should consider investing in a special software – a decision support system. Decision Support Systems (DSS) have been shown to benefit the healthcare industry in a number of ways, including reducing costs, improving quality of care, and increasing patient satisfaction.

What is Decision Support Systems in the Healthcare Industry

Decision support systems (DSS) are computer programs that help users make better decisions. Healthcare decision support systems (HDSS) are a type of DSS that specifically help healthcare professionals make better decisions.

There are many ways in which HDSS can benefit the healthcare industry. One of the most important is by reducing the reliance on experience and intuition when making decisions. This is especially important in situations where there is a lot of data to process or where the consequences of a decision are high.

HDSS can also help standardize decision-making processes. This can be important in ensuring that all healthcare professionals are using the same criteria when making decisions. It can also help to improve communication between different members of the healthcare team, as everyone will be aware of the decision-making process that was used.

Finally, HDSS can help to improve the quality of decisions that are made. This is because HDSS use algorithms that take into account all relevant factors when making a decision. This means that HDSS can often identify potential problems that human decision-makers might overlook.

The Benefits of Decision Support Systems for Healthcare Organizations

By providing data-driven decision making tools, DSS can help organizations to improve patient care, streamline operations, and make better use of resources.

DSS can be used to support a wide range of decision making processes in healthcare, from diagnosis and treatment planning to resource allocation and staff scheduling. By helping organizations to make more informed decisions, DSS can lead to improved patient outcomes and higher levels of satisfaction among both patients and staff.

There are a number of different types of DSS available, each designed to support specific types of decision making. Some common examples of DSS include clinical decision support systems (CDSS), financial decision support systems (FDSS), and operational decision support systems (ODSS).

How Decision Support Systems Can Improve Patient Care

Decision support systems (DSS) are a type of computerized system that helps healthcare professionals make better decisions. DSS systems provide users with the ability to access and analyze patient data, make recommendations based on that data, and track the outcomes of decisions.

DSS systems have the potential to improve patient care in a number of ways. First, DSS systems can help healthcare professionals more quickly identify patients who are at risk for certain conditions or who may need more aggressive treatment. Second, DSS systems can help to standardize care by providing Decision rule sets that guide clinicians in making decisions about patient care. Finally, DSS systems can help track the outcomes of care decisions and identify areas where improvements can be made.

Overall, DSS systems offer a number of potential benefits for healthcare organizations. By helping to improve decision-making, DSS systems can play a role in improving patient care quality and outcomes.

The Importance of Decision Support Systems in Healthcare

The healthcare industry is rapidly evolving and becoming increasingly complex. In such a fast-paced and ever-changing environment, it is essential for healthcare organizations to have a robust decision support system (DSS) in place.

DSSs are computerized systems that help decision-makers in organizations by providing them with the latest data and analytics, as well as modeling and simulation capabilities. By doing so, DSSs enable healthcare organizations to make more informed and evidence-based decisions.

There are many different types of DSSs, but all of them share the same basic goal: to support decision-makers in making better decisions. Some of the most popular types of DSSs used in:

  • healthcare include clinical decision support systems (CDSSs),
  • financial decision support systems (FDSSs),
  • administrative decision support systems (ADSSs).

Clinical Decision Support Systems (CDSSs) are designed to help clinicians in making better clinical decisions. CDSSs do this by providing clinicians with up-to-date data, evidence-based guidelines, and clinical decision algorithms.

Financial Decision Support Systems (FDSSs) are designed to help financial decision-makers in healthcare organizations make better decisions about resource allocation and spending. FDSSs do this by providing users with data about costs, quality, outcomes, and other important factors.

Administrative Decision Support Systems (ADSSs) are designed to help administrative decision-makers in healthcare organizations make better decisions about organizational strategy, planning, and operations. ADSSs do this by providing users with data about organizational performance, demographics, trends, etc.

The Benefits of Decision Support Systems for Physicians

Decision support systems (DSS) are computer programs that help physicians make better clinical decisions. DSS provide evidence-based recommendations, resources, and decision tools to help physicians select the best course of action for their patients.

DSS have been found to improve the quality of care, decrease costs, and increase patient satisfaction. In one study, DSS were associated with a 36% reduction in hospital admissions and a 28% reduction in length of stay. In another study, DSS were associated with a decrease in lab tests and X-rays ordered by physicians.

DSS are becoming increasingly popular in healthcare as more organizations seek to improve the quality and efficiency of care. Many commercial DSS are now available, and many electronic health record (EHR) systems include DSS functionality.

The Benefits of DSS for Hospitals

Decision support systems for Hospitals are computer programs that help decision makers use data and models to solve problems. DSS are interactive, flexible and adaptable, offering users the ability to access and analyze data in real time.

DSS have been used in a variety of industries for many years, but their use in healthcare is relatively new. Hospitals and other healthcare organizations are beginning to see the potential benefits of using DSS to improve patient care and reduce costs.

One of the main benefits of DSS is that they can help hospitals make better decisions about patient care. DSS can provide decision makers with access to more data and better models, which can lead to improved decision making.

Another benefit of DSS is that they can help hospitals save money. By helping hospitals make better decisions about patient care, DSS can help reduce the number of unnecessary tests and procedures. This can lead to both direct cost savings for hospitals as well as indirect cost savings through improved patient outcomes.

In addition, DSS can help improve communication between different parts of the hospital. By providing a common platform for data and decision making, DSS can help ensure that everyone involved in a patient’s care is on the same page. This improved communication can lead to better coordination of care and improved patient outcomes.

The Future of Decision Support Systems in Healthcare

Decision support systems (DSS) have been used in various industries for decades, but their use in healthcare is relatively new. Despite this, their use is growing rapidly as more and more organizations realize the benefits that DSS can provide.

DSS can be used to support decision making at all levels within an organization, from frontline staff to senior managers. They can be used to provide better patient care, improve operational efficiency, and make better use of scarce resources.

There are many different types of DSS, but all share a common goal: to help decision makers make better decisions. The most common type of DSS is analytical, which uses data and analytics to help identify patterns and trends. Other types of DSS include rule-based systems, which rely on a set of rules or guidelines to help decision makers; simulation-based systems, which allow decision makers to test different scenarios; and knowledge-based systems, which encode the knowledge of experts into a system that can be used by decision-makers.

DSS are increasingly being used in healthcare to support a wide range of decisions, from diagnosis and treatment selection to resource allocation and goal setting. Their use is likely to grow even further in the future as more organizations realize the benefits that they can provide.

As the healthcare industry continues to evolve, so too must the decision support systems that practitioners rely on to make informed decisions. And while there are many different directions that these systems could go in, it seems increasingly likely that artificial intelligence (AI) will play a major role in their future.

The impact of artificial intelligence (AI) on drug development is often compared to the impact of digital technologies on the music industry. In both cases, AI is seen as a potential game-changer that can bring about significant efficiency gains and cost savings. However, there are also challenges associated with the adoption of AI in drug development, including the need for specialized skills and expertise, and the potential for disruptions to existing workflows. In this blog, we will explore the benefits, challenges

The Impact of Decision Support Systems on Healthcare

Decision support systems (DSS) have been around for decades, but their impact on healthcare has been sporadic. A DSS is a computer program that supports decision-making by providing access to relevant information. DSSs are typically used in situations where there is no single “correct” answer, but rather a need to evaluate different options and make a decision based on specific criteria.

Healthcare is an industry where DSSs can have a significant impact. The ability to quickly access and analyze large amounts of data can help clinicians and managers make better-informed decisions about patient care, resource allocation, and other critical issues.

There is evidence that DSSs can improve the quality of care and efficiency of healthcare organizations. One study found that hospitals that implemented a DSS saw a significant reduction in length of stay and cost per patient. Another study found that a DSS helped nurses identify potential problems earlier and make more efficient use of their time.

Kanda Software is a custom development company specializing in software for the healthcare industry. They have a wide range of experience in developing software for healthcare providers, payers, and pharmaceutical companies.

New Amazing Ways That RPA Can be Used in Healthcare

Today’s healthcare industry is overwhelmed by high costs, high volumes and strict regulations. These pressures can impact the quality and urgency in patient care.

To reduce costs, there is a need to improve patient experience and comply with regulations which often require a lot of paperwork and reporting.

Many repetitive tasks and decisions in healthcare organizations are dependent on accurate data. Many repetitive tasks are common in all healthcare organizations, including patient onboarding and follow ups, medical billing, claims processing, prescription management, and generating reports for doctors. These are just a few of the many factors that make it possible for robotic process automation to improve efficiency, decrease costs, and enhance the patient experience.

What is robotic process automation?

Robotic Process Automation (RPA) software is used to imitate the back-office tasks performed by human workers. It integrates APIs with user interface (UI), interactions to perform repetitive tasks between enterprise productivity applications. RPA tools automate the execution of tasks, activities, and transactions between unrelated software systems by deploying scripts that mimic human processes.

RPA’s value

Healthcare organizations work in real-time and without any downtime. Error-prone, cumbersome tasks slow down processes, affecting everything from cost structures to compliance to patient experience. RPA software automates tasks to improve data accuracy and report speed, thereby increasing efficiency. This results in cost savings, and resources can be used where they are most needed.

RPA automates tasks using structured data, logic. It often relies upon a business rule engine to automate decisions based in predefined rules. RPA can also manage unstructured data, provided that the bot extracts the data first and then uses capabilities such as natural character processing (NLP), and optical character recognition(OCR) to create structured information.

When used with artificial Intelligence (AI) an RPA solution creates intelligent Automation (IA) (or cognitiv automation), which attempts to closely imitate human talent and actions.

How can RPA be used to improve healthcare?

Healthcare industry is a sensitive sector that involves many interactions with customers. However, it also has many repetitive, time-consuming tasks and administrative tasks that do not require specialist knowledge. RPA is able to automate tasks across the entire organization, from front-office tasks and operational processes to patient interaction or bill payment.

Gartner states that 50 percent of US healthcare providers plan to invest in RPA over the next three-years. Technology that helps these providers improve delivery and streamline operations should also be cost-optimized.

RPA can help with some of the healthcare challenges:

  • Administrative Data Entry:Administrative is one of many data types encountered in a healthcare environment. Although administrative data entry doesn’t often require any specialized skills it can be repetitive and time-consuming. Natural language processing (NLP), speech and image recognition can be used to extract data from many sources. Some of these data may need to converted using bots to structured data. The data must be entered into a database for the organization.
  • Document digitization:RPA uses intelligent document processing (IDP), to prepare and ingest documents – relating to everything from insurance claims to health records – into a larger repository to store or use.
  • Schedule and manage patient appointments:Automation using RPA bots can help with appointment scheduling and management. You can also schedule, cancel, or modify patent appointments according to your needs.
  • Billing, processing and billing:Billing is often very repetitive. These processes can easily be automated with RPA. Bots will handle claims management, first-line inquires, and follow-up.
  • Records management The healthcare industry is very regulated and requires strict reporting and protocols with respect to patient records and medical records. RPA is able to provide RPA with the accuracy, consistency, and protection of records necessary for regulatory compliance.
  • Controlling Infections: RPA can help healthcare professionals implement infection control protocols, such as but not limited to:
    • Triage tasks management
    • Screening and tracking protocols, including compliance with regulatory requirements and CDC protocols
    • Management of patient flow and inventory
    • Based on thresholds of patient data, staff can alert and monitor patient care plans.
  • Communication:RPA can be used in healthcare as in all industries to automate communication such as responses to queries on the website, customer service calls, front-line administrator queries, and emails blasts to vendors, staff, and patients.
  • Remote care and customer service:RPA can be used to automate repetitive customer care and remote activity. Machine Learning and Intelligent Automation (IA), provide the ability to answer repetitive questions with consistency, speed and efficiency. RPA can be used to follow-up remote care. This is done by following business rules and delivering specific information at specific steps in the patient’s care plan.

RPA’s benefits in healthcare

Healthcare organizations can reap the benefits of RPA because of the pressure to lower costs, speed up operations, reduce the time it takes to complete tasks, improve patient experience and efficiency, as well as the desire to decrease the cost of doing business.

RPA can be used by healthcare leaders to accomplish the following:

  • Automate repetitive tasks that are resource- and time-intensive to reduce healthcare administration costs
  • Speed up processes such as triage by automating mundane tasks
  • Increase the accuracy of data, tasks, and reporting in clinical settings and other environments by reducing human error, ensuring consistency in task and output, and enabling organizations and individuals to implement best practices.
  • Increase productivity of healthcare staff through automation tasks that don’t require intelligence or thought. This frees up resources for more complicated activities.
  • Enhance the patient experience by providing consistent care through more accurate decisions, lower costs and better visibility across the entire patient record.

To implement RPA in healthcare successfully, one must have holistic vision to identify where automation could be of benefit, what resources are available and whether a partnership is possible to speed up the process with skillsets and resources.

Use case: A hospital uses RPA in order to lower costs, improve process efficiency and improve patient experience

RPA can be used in many areas of healthcare. Any organization can start by focusing on the ones that are most likely to yield financial benefits.

Let’s look at how RPA tools can be used to improve hospital operations efficiencies. Generic Hospital X is a large hospital with high overhead administrative costs. 30% of these costs are devoted to correcting errors and delays in manual processes. The hospital must optimize its costs and resources to handle the increased patient influx that has been caused by COVID-19.

Hospital X analyzed its business processes and found several areas that were more costly than others.

  • Prior insurance authorization
  • Cost estimates
  • Denials of benefits and insurance verification
  • Management of claims and receivables

Each one of these steps involves multiple manual tasks, which can be time-consuming and require accuracy in order to provide quality patient care.

Hospital X can use RPA to reduce manual dependency in each process. This reduces human error and improves accuracy, thereby lowering costs. Each of these tasks were addressed by the hospital using RPA to automate them.

  • Prior authorization for insurance: RPA, and AI technology can be used to submit and track down requests for prior authorization. They communicate with all constituents and the patient and schedule the procedure. Because insurance authorization submissions depend on proper coding, AI technology is able to identify and resolve inconsistencies in submissions due to manual errors. Requests for authorization to treat patients or approval for coverage for special tests are made electronically. The response is sent via an auto-generated email.
  • Cost estimates Patients are informed up front about the cost of procedures, treatments, and automated payment plans.
  • Insurance verification, benefits approvals and denials:RPA allows you to track and request approval of patients as they make appointments, attend or cancel. For better visibility and consistency, automatic information is generated about the cost of patient care, deductibles, and other details.
  • Claims management, accounts receivable and claims management:RPA uses bots and AI technology to manage claims processing workflows. This includes denials communication, resubmission and revenue and cost forecasts based on past history. Automated revenue collection is possible with a workflow that eliminates the need for repetitive manual intervention.

These are just some of the administrative tasks in healthcare that can be streamlined with RPA. They reduce human error, repetitive tasks, and manual intervention. This will ultimately lower costs and improve the patient experience.

How to Develop an Online Platform for Healthcare Training

Regarding the pandemic situation, stationary education became difficult in any educational facility and any industry. Medical education differs from other faculties by its lack of opportunities to miss classes or skip the topic. The healthcare industry demands the highest quality of teaching and knowledge for future or current doctors. That’s why most medical facilities turned to online learning for their workers or students. There is a wide range of ready-made platforms that can be customized according to a particular course or establishment’s needs. However, many establishments are used by these platforms, and they can not cover all the required issues. The common problems that appear during online learning are:

  • absence of a single database for students documents and all courses;
  • there is no opportunity to gather students for practical pieces of training or lectures in the classroom, and it makes the studying process harder;
  • poor knowledge verification;
  • ready-made solutions are expensive for a vast number of medical workers or students.

Main features of Learning Management Systems

Learning management systems (LMS) have a basic range of features that are necessary for each e-learning platform. These platforms should be accessible for all members, simple to use, and suit the latest tech updates. Looking at the Capterra statistics below, you can see which healthcare facilities implement custom LMSs.

Learning Path

Medical, educational platforms differ a lot from simple educational services for schools or universities. Healthcare training is more complicated and has a comprehensive structure containing a lot of diverse modules and tests. Usually, the entire course is divided into several parts for qualifying the information. The topics’ logical organization creates a learning path that can contain learning videos and compendiums, a combination of several courses, quizzes, and tests to check the knowledge. Each module also has deadlines and specific criteria for marks. After finishing the learning path, students usually get certificates to prove their qualifications.

Webinars

Due to the pandemic situation worldwide, webinars have become the most popular way of e-learning for many industries, and healthcare is not an exception. Even before the quarantine, the practice of hosting webinars for studying medical workers was successful. This type of e-learning is flexible and available to everyone. Students can listen and share videos, pictures, or presentations in real-time, interact with a tutor, and ask questions if something is unclear. If the future doctors can not attend a particular lecture, they can watch it on the record. 🔎E-LEARNINGCheck more articles about e-learning and the digital era of education on our blog.

Reporting and analytics

E-learning platforms not only provide online courses for employees but also track their attendance and progress. It is essential to know the level of competencies of the medical workers. LMS provides custom reports and analysis for each course participant. Usually, reports contain valuable information like:

  • activities of all participants – their performance, grades, and tests completions; it also tracks time spent on learning and doing tests, the level of qualification, and the deadlines for finishing the course;
  • availability of certificates and tracking compliance requirements;
  • satisfaction with course – this option helps to improve or change the course or the learning system in case of need.

Mobile accessibility

Flexibility in the learning process is not a wish but a noticeable feature. Medical students have the most complex and stressful studying program among all other faculties. Due to e-learning systems, the educational process can be flexible and available for everyone. Each student or employee can independently choose the time for learning and create their schedules. It is also an excellent option to synchronize the course with the web platform and accessible from any devices like tablets or smartphones. Moreover, such a feature can attract and involve students more as it is flexible and convenient to do some tests anywhere. 

Cloud deployment

As the number of students for one system can be vast, a cloud-based solution is the best choice for developing a healthcare e-learning platform. It makes access more effortless as all users have to do is type the address in the browser. Cloud deployment also simplifies the process of system improvements and maintenance.

Standards compatibility

Healthcare e-learning is not just a simple language course. Medical learning platforms have to be highly qualified and professional systems that give the same knowledge level as a class studying. To make all these systems unified, there is a range of standards that should be considered during the development and implementation of such a platform.

  • SCORM or Sharable Content Object Reference Model includes the range of technical requirement for e-learning platforms; it is a guide for developers on how to integrate a new system with the existing ones;
  • xAPI – it helps to unite all information that will be available on the course and make it accessible for all users; it also provides sharing the data between different systems;
  • LTI or Learning Tools Interoperability is an educational technology developed by the IMS Global Learning Consortium; it lets users host the course tools and content from external systems or websites.

Blended learning 

Medical education is impossible without practice, so it means that online platforms for the healthcare industry are not enough. Some courses need offline learning, and Learning management systems has to support blended learning.Performance Management

The main aim of online continuing medical education is to keep a high level of studying performance and knowledge. The rank of management is beneficial for tutors and professionals who teach medical students or employees. LMS provides a set of needed features for the entire medical facility like:

  • insert data for documentation for state officials;
  • assigning additional training for employees with low qualification;
  • automatic tracking the assessments.

Gamification

Game elements are implemented to increase the motivation of students. It can be virtual awards and badges for completing the tests or course. Gamification shows the positive results in LMS as it involves the students more, and the learning process can bring more enjoyment as students have to complete the task to get a reward. 

Why do you need to implement custom LMS?

The most compelling variant of implementing e-learning service is developing custom Learning Management Systems considering particular medical facilities’ needs. LMS or Learning Management System makes all learning, testing, and grading processes easier, accessible, and productive. It replaces the real-time educational process and provides the same level of quality of studying. 

Custom LMS contains the range of functions that are obvious for your medical facility and fit its rank. All medical courses have to follow the standards of studying that we have counted above, but the content and information interpretation methods can differ. For example, each part of the information can be provided in diverse interactive ways to make it easier to learn and remember:

  • text, video, and audio-based seminars;
  • learning games;
  • availability of online discussion and forums;
  • different types of final tests or quizzes;
  • availability of sharing the info between students and tutors.

Many medical centers want to turn their offline training online. The custom solution accurately matches all requirements with no excess functions for an e-learning platform. It also easily can be synchronized with other internal systems in a less expensive way and include as many users as it is needed.

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Basic functionality for custom LMS

When you come up with the development of a custom Learning Management Systems, it is vital to reveal the weak sides of the existing learning system or accurately define the main objectives for a new solution for your medical facility. Each LMS contains a standard set of critical features. However, along with the required options, you can add any function you think is needed for your custom solution.

We want to bring to your attention the basic functionality for the development of LMS.

Admin panel

This function lets you set the responsible persons for definite courses or organizational tasks. Administrators usually have full access to all data and can add course information, change or delete it. They also create and add quizzes for each course, set hours and deadlines, upload required video, audio, or text documents for the learning process.

Range of courses

Each LMS provides a full cycle of education for different groups of medical workers or medical students. It consists of a fundamental and obligator program that has to be completed by each student. The programs usually contain several main courses with a final test for every course. You can also put additional courses that all workers or students should complete during the year. 

Reports

As admins are responsible for the flow of the educational process, they have to provide reports for the headers of each student’s medical facilities and certificates for governmental establishment. The number of medical workers can reach several thousand. Is it possible to handle all the data manually? The answer is clear – no. The probability of mistakes and mix-ups is huge, but admins have no right to errors in documents and certificates.

Learning Management Systems generates custom reports and certificates automatically and accurately for each course or student. 

Absence of skipping

This function is critical for healthcare e-learning systems. The students have to go through all learning stages, watch all videos, read all documents, and listen to all lectures or seminars. There should be no availability to skip any part of the course, including tests or quizzes in the end. 

Multi-language

Healthcare educational programs contain a lot of specific terms and titles. It is essential to make e-learning available for all students and workers and the process as simple as possible. The multi-language function is required to make the learning process highly qualified and clear for all participants.

Notifications

All medical students and workers who complete a definite course need to be notified about any updates or changes like test results, grades, upcoming lectures, or quizzes. Due to many people, the notifications should be set and sent automatically via email or internal system between medical workers. 

How to develop a custom LMS?

The development of custom solutions has a stable workflow and main stages. Among them, we would like to define:

  • building a business plan considering customer`s need and aims
  • writing specifications of the project
  • creating the design
  • writing the code
  • testing the systems
  • release and maintenance

For building own Learning Management Systems from scratch, you need to find and hire a dedicated team of developers with experience in developing and implementing LMSs. Each phase of development involves a particular specialist. Each stage’s time and cost depend on the set of functions required for your custom LMS, including the number of potential students, various courses, grade system, etc. 

For starting developing a custom LMS, you will need a full team of DevOps to build and successfully implement the new system to the medical facility:

  • Business Analyst – a key person who helps to reveal the objections that will be resolved with the solution thanks to marketing research in the industry and build the strategy of reaching the goals to boost the productivity of healthcare e-learning;
  • Scrum master – a specialist, is responsible for constant communication with customers to keep them up to date on the progress of development and organization of the workflow of DevOps;
  • Designer – this specialist aims to make your system interface user-friendly, creative and recognizable simultaneously;
  • HTML\CSS, PHP backend – these developers are responsible for writing clean code for the solution;
  • Manual QA – testing is a crucial part before the releases, as QA specialists make stress tests for the solution to reveal any error or bug during the usage.

We want to bring to your attention an MVP estimation of developing an LMS system with basic functionality mane by our team of developers. The total cost and hours for each developer can vary depending on your custom solution’s specifications and aims. The approximate total cost of development of an LMS is $53730.

DevOpsHoursCost
Business Analyst238$7616
Scrum master414$9936
Admin39$897
HTML\CSS172$2752
PHP backend993$24825
Design83$1909
Manual QA305$5795

We also would like to say a few words about the importance of your system maintenance. 

Once you have decided to build and integrate your internal system with a custom solution, the development process doesn’t stop at the phase of release. A custom system needs constant support from developers if needed for updates, changes, or widening the platform. Our developers’ team is also available for maintaining your project after the release stage and usually picks the suitable package with different conditions for your needs.

The price depends on the number of specialists involved in your solution:

Basic – It involves a Business Analyst, a Scrum master, Backend developers, and QA. The cost is $1740 and can vary depending on the required hours of work.

Optimal – This package engages Business Analyst, Scrum master, Frontend developer and tech lead, QA specialist. The average price is $3232, and it is not fixed as it depends on the duration of work.

Advanced – This maintenance package involves the same specialists as the optimal, but it provides more hours spent on your solution and more options as a support team. The price is about $14400.

đź“ŚWhy is custom LMS better than ready-made system?

Learning Management Systems should respond to all needs of your medical facility and be synched with the existing internal systems accurately. There is a huge risk that ready-made would not fit all your requirements. Moreover, custom LMS is less expensive as you invest in the development and maintenance despite the number of workers and amount of data. Ready-made solutions are not scalable and very expensive for a vast number of students.

đź“ŚHow much does custom LMS cost?

We provided a detailed MVP estimation of custom LMS for medical training in our article. The average price of the development process is $53730.

đź“ŚDoes the level of students` engagement stay the same?

Medical e-learning is more complicated than studying in other faculties. The educational system should convenient and accessible to all students. That’s why each medical student should have access to courses from any device and any place. there is also a need for adding game elements to studying courses to make it more involving and attractive.

All in all

The need for custom educational internal systems is urgent for most medical facilities and faculties. All of them want to achieve the same online education level as it was at the stationary variant. Ready-made healthcare e-learning can not cover all specifications of this type of education as Learning Management Systems must be accessible for each medical worker.

Supporting many users and huge amounts of data and information is a complicated and expensive task. Usually, ready-made LMSs provide learning for a small group of people and demand a month or year subscription paying for each member of a system. Instead of coping with these complexities, we recommend building and integrating your own custom LMS considering the medical facility’s specifics, its audience, directions of learning, and methods on how to reach the qualification goals with online education.