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How Next-gen Electronic
Health Record Can Make
Your Life Simpler
Change is constant. This applies to the field of patient data whether it is handled by individual doctors or by large
hospitals and healthcare services providers across the country. From storing patient records in Excel sheets to database
systems the world of patient data records has progressed to electronic health records. Even within this we have different
types of electronic health record systems such as one hosted by individual physicians known as electronic medical
records, remotely hosted electronic health record software and remote systems accessible to a large number of users.
However, what distinguishes these existing electronic health record systems is that they are passive or historical,
simply maintaining a record of the patient’s illnesses, diagnostics and treatments at one or more facilities. This is good
but proves to be a stumbling block when there are major issues like a pandemic where other parameters come into
play such as preventive and proactive measures to identify vulnerable populations, keep track of infected individuals,
their recovery rate, their specific conditions and reactions to treatment and data to take steps to prevent spread. There
are blocks such as high cost, excessive documentation and lack of user-friendliness in currently existing EHR systems.
Most of these focused more on the administrative and financial side with the medical side added on as an
afterthought. These systems also imposed additional work burdens on personnel. The Covid pandemic worldwide
brought out these deficiencies and paved the way to introduce changes to electronic health record systems for the
future.
It is time for a change to the electronic health record systems and the way they are implemented and used.
In fact, according to EHR Intelligence, the use of EHR in July, 2020 increased by 2.06% compared to the pre-pandemic
times.
Future developments in electronic health record software could and should include various advancements as detailed
below.
Structural technical underpinnings
Future EHR software applications should have solid technical underpinnings to incorporate the latest advances in IT
technologies such as:
Algorithms need to be incorporated into medical EHR software to combine various case conditions, interconnected
health issues, treatments based on patients’ individual situations, and flexibility for healthcare workers to step in as
may be needed according to the situation but do it automatically and speedily with minimal human intervention.
Such futuristic electronic health record EHR solutions would also have advanced decision support and workflow logic
to remind team members through a variety of channels about patients, available plans and facilities for fast action.
The future medical EHR software will be able to fluidly deliver analytics for individuals and for populations within
specific geographic regions and to have predictive capabilities as regards the spread of disease.
Intelligence at the core
As they stand current EHR software applications are focused on
maintaining past data about patients, their activities and
particularly the revenues side. Incorporation of intelligence into
such EHR systems does not pose a big challenge given the
voluminous amounts of data sets that can be used for machine
learning to facilitate predictive capabilities. It could, for
example, analyze variables such as whether a patient is
following a treatment routine, their deviations and possible
outcomes and suggest possible steps to remedy this kind of
situation. Importantly, futuristic electronic health record
systems should be able to analyze and deliver suggestions to
busy doctors so that they can put such suggestions into practice
instead of wasting time in thinking about individual problems.
Indirectly, analyzing patients in bulk who are infected with a
specific disease could show up peculiar conditions that would
be missed by most doctors treating individual patients.
The question of access
Though electronic health records are available for sharing by healthcare service providers, access still remains
limited. The issue of accessibility needs to be addressed considering that 66% of users search for information on
the internet and 88% of appointments is booked via phone or other digital means. Electronic health record
systems can take a leaf out of how businesses manage their communications and manage customers by providing
remote multi-channel access across various devices with fluid crossover from desktops to mobiles as and when
needed, both for patients and doctors.
Technologies to incorporate are natural language processing, voice recognition and IoT to further broaden the
scope of accessibility.
The question of accessibility also leads to standardization and uniformity of electronic health record systems as
well as data protocols for glitch-free use and operation.
Real-time big data analytics needs to become part of the overall electronic health record system to be used
worldwide or countrywide, similar to the airline reservation system in which all stakeholders can get information
in real-time. This also has implications in disease detection, spread and preventative measures.
Multiplicity of plans
Health care services would vastly improve and patients would benefit if future electronic health record software were
to incorporate the facility to enable providers to prepare plans for various contingencies.
Instead of considering a single patient, the future electronic health record systems can help providers to set up
plans for populations based on a set of parameters relating to disease, age, gender and economic drivers. Data
can be gathered through various devices like smartwatches and IoT devices and providers can take inputs to
devise flexible plans.
Population health management
Interoperability is a part of EHR but needs to be improved to give immediate access to any health care services
provider, especially in cases of emergency.
Health information exchange
Accessibility also raises issues of security that can be addressed using blockchain technology for validation, data
security, claims, authentication and prevention of insurance frauds.
Training
The more sophisticated a medical health record solution becomes in the future the more complex it is likely to be
and it will likely involve a learning curve. Service providers in the healthcare segment would work alongside solution
providers to give the training to bring users up to speed on 5G technologies, AI’s benefits, IoT and wearables and
how to use the system to derive the maximum benefit. After all, sophisticated electronic health record software is
like a sophisticated car or aircraft—one must know how to use it or it will be practical of little use. It pays to join
hands with the right vendor who considers all these aspects when you decide to go for medical EHR software.
Enhance patient engagement, improve accessibility, and leverage standardized processes. Get medical EHR
software now!
www.omnimd.com sales@omnimd.com
1-844-666-4631

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How Next-gen Electronic Health Record Can Make Your Life Simpler

  • 1. How Next-gen Electronic Health Record Can Make Your Life Simpler Change is constant. This applies to the field of patient data whether it is handled by individual doctors or by large hospitals and healthcare services providers across the country. From storing patient records in Excel sheets to database systems the world of patient data records has progressed to electronic health records. Even within this we have different types of electronic health record systems such as one hosted by individual physicians known as electronic medical records, remotely hosted electronic health record software and remote systems accessible to a large number of users.
  • 2. However, what distinguishes these existing electronic health record systems is that they are passive or historical, simply maintaining a record of the patient’s illnesses, diagnostics and treatments at one or more facilities. This is good but proves to be a stumbling block when there are major issues like a pandemic where other parameters come into play such as preventive and proactive measures to identify vulnerable populations, keep track of infected individuals, their recovery rate, their specific conditions and reactions to treatment and data to take steps to prevent spread. There are blocks such as high cost, excessive documentation and lack of user-friendliness in currently existing EHR systems. Most of these focused more on the administrative and financial side with the medical side added on as an afterthought. These systems also imposed additional work burdens on personnel. The Covid pandemic worldwide brought out these deficiencies and paved the way to introduce changes to electronic health record systems for the future. It is time for a change to the electronic health record systems and the way they are implemented and used. In fact, according to EHR Intelligence, the use of EHR in July, 2020 increased by 2.06% compared to the pre-pandemic times. Future developments in electronic health record software could and should include various advancements as detailed below.
  • 3. Structural technical underpinnings Future EHR software applications should have solid technical underpinnings to incorporate the latest advances in IT technologies such as: Algorithms need to be incorporated into medical EHR software to combine various case conditions, interconnected health issues, treatments based on patients’ individual situations, and flexibility for healthcare workers to step in as may be needed according to the situation but do it automatically and speedily with minimal human intervention. Such futuristic electronic health record EHR solutions would also have advanced decision support and workflow logic to remind team members through a variety of channels about patients, available plans and facilities for fast action. The future medical EHR software will be able to fluidly deliver analytics for individuals and for populations within specific geographic regions and to have predictive capabilities as regards the spread of disease.
  • 4. Intelligence at the core As they stand current EHR software applications are focused on maintaining past data about patients, their activities and particularly the revenues side. Incorporation of intelligence into such EHR systems does not pose a big challenge given the voluminous amounts of data sets that can be used for machine learning to facilitate predictive capabilities. It could, for example, analyze variables such as whether a patient is following a treatment routine, their deviations and possible outcomes and suggest possible steps to remedy this kind of situation. Importantly, futuristic electronic health record systems should be able to analyze and deliver suggestions to busy doctors so that they can put such suggestions into practice instead of wasting time in thinking about individual problems. Indirectly, analyzing patients in bulk who are infected with a specific disease could show up peculiar conditions that would be missed by most doctors treating individual patients.
  • 5. The question of access Though electronic health records are available for sharing by healthcare service providers, access still remains limited. The issue of accessibility needs to be addressed considering that 66% of users search for information on the internet and 88% of appointments is booked via phone or other digital means. Electronic health record systems can take a leaf out of how businesses manage their communications and manage customers by providing remote multi-channel access across various devices with fluid crossover from desktops to mobiles as and when needed, both for patients and doctors. Technologies to incorporate are natural language processing, voice recognition and IoT to further broaden the scope of accessibility. The question of accessibility also leads to standardization and uniformity of electronic health record systems as well as data protocols for glitch-free use and operation. Real-time big data analytics needs to become part of the overall electronic health record system to be used worldwide or countrywide, similar to the airline reservation system in which all stakeholders can get information in real-time. This also has implications in disease detection, spread and preventative measures.
  • 6. Multiplicity of plans Health care services would vastly improve and patients would benefit if future electronic health record software were to incorporate the facility to enable providers to prepare plans for various contingencies. Instead of considering a single patient, the future electronic health record systems can help providers to set up plans for populations based on a set of parameters relating to disease, age, gender and economic drivers. Data can be gathered through various devices like smartwatches and IoT devices and providers can take inputs to devise flexible plans. Population health management Interoperability is a part of EHR but needs to be improved to give immediate access to any health care services provider, especially in cases of emergency. Health information exchange Accessibility also raises issues of security that can be addressed using blockchain technology for validation, data security, claims, authentication and prevention of insurance frauds.
  • 7. Training The more sophisticated a medical health record solution becomes in the future the more complex it is likely to be and it will likely involve a learning curve. Service providers in the healthcare segment would work alongside solution providers to give the training to bring users up to speed on 5G technologies, AI’s benefits, IoT and wearables and how to use the system to derive the maximum benefit. After all, sophisticated electronic health record software is like a sophisticated car or aircraft—one must know how to use it or it will be practical of little use. It pays to join hands with the right vendor who considers all these aspects when you decide to go for medical EHR software. Enhance patient engagement, improve accessibility, and leverage standardized processes. Get medical EHR software now! www.omnimd.com sales@omnimd.com 1-844-666-4631