Opto EMR | UI-UX Designer | Software Architect

Patent Criteria 1 : Novel Concept/Newness

The eyes are the body's most highly developed sensory organs. Vision is linked and connected to a far larger part of the brain than hearing, taste, touch, or smell combined. People with vision problems are more likely than those with good vision to have diabetes, poor hearing, heart problems, high blood pressure, lower back pain, stroke, and increased risk for falls, injury, and depression.

An ophthalmologist and or optometrist performs a comprehensive eye exam. They assess an individual's vision and provide prescriptions for glasses and contacts; diagnose, treat, and manage eye injuries; detect disease in the eye, and provide services to rehabilitate some eye conditions through low vision rehabilitation and vision therapy.

The question is how to tell the clinical competencies of the optometrist and or ophthalmologist without visibility? How to tell the examination procedure carried out is not out of tradition or habit? Who possesses better clinical procedures in the primary eye and vision care? Without proper measurement, there is no feedback - a prerequisite for professional credence control. Without value measurement, the patient cannot justify paying for the eye and vision test procedures.

Note: Evidence-based primary eye and vision care means integrating individual clinical expertise with the best currently available evidence from the research literature.

OPTO EMR is the solution that guides the healthcare examiner in truly best practices measured in hundreds of percentage points difference. Best of all, it isn't more complicated. It is simpler. To simply put, the novelty of OPTO EMR innovation is focused on industry governance and professional accountability, which nobody put together this way before. Whether specialists carry out the consultation, examination, or clinical procedures in the primary eye and vision care, newly graduated opticians, or experienced vision and eye care optometrists, the Opto-EMR ensures all to perform with optimal compatibility.

Clinical tests and procedures conducted on Subjective and Objective-Based Assessment (SOBA) test procedure templates will have matching findings and or value-based information populated according to past historical cases or big data. Once the examiner affirmed the data value, the information is populated in an Electronic Medical Record, enabling OPTO EMR to interpret and produce the DIAGNOSIS JUSTIFICATION (DJ) in the form of an Electronic Health Record.

Another novel concept of Subjective and Objective-Based Assessment (SOBA) test procedure templates lies in the digitized processes of the evidence-based primary eye and vision care literature, case studies, and the accumulation of available patient data contributed by eye and vision care professionals' previous work.

The professional conducting the consultation can validate their findings provided in each SOBA-format test procedure template. It includes the step-by-step methodology guide to derive at a non-discriminative conclusion. Alternatively, when the decisions differ from the given list of the SOBA-format test procedure template value, the examiner can instantaneously create and populate new data information based on their clinical observations, assessments, and measurements to support their decision. No technical proficiency is required to perform such a task given today's modern and user-friendly technology tools.

The name of this novel concept is called Diagnosis Justification (DJ). Professionals would likely interpret it as a Subjective and Objective-Based Assessment (SOBA), based on its design and clinical examination process concept.

The concept of SOBA is to let ophthalmologists, optometrist, and dispensing opticians and or assistants perform their clinical expertise alongside the SOBA-format test procedure template during a consultative examination of the patient.

Each template is designed from processes extracted from evidence-based primary eye care literature, relevant case studies, and the accumulation of available patient data contributed by professionals.

The professional in the consultation is expected to either check-box their findings as provided by each SOBA-format test procedure template or they can create and populate a new data of their clinical observations, assessments, and measurements as and when their findings are not provided in the SOBA-format test procedure template.

Such collaboration in the EMR process will produce credible clinical findings and add-on to the medical references that were diagnostically justified by predecessors. Information would subsequently auto-transcript into the electronic health record (EHR) of the patient.

The focus of this innovation is on industry governance and professional accountability, which nobody put together this way before. The consultative examination process outcome is significantly consistent, whether it is carried out by PhDs, specialists newly graduated opticians, or experienced vision and eye care optometrists, the Opto-EMR ensures all perform with optimal compatibility.

Patent Criteria 2 : Inventive Step

SOBA's invention represents a complete solution and an improvement over every POS and or clinic management system (CMS) currently used by healthcare providers. This is because of the followings:

All POS and CMS focus on costs, i.e. business-operation and not primary care. As such, cost tend to rise and quality declines over time. When an artificially intelligent diagnosis system is designed to affect people and organizations to focus primarily on the quality of clinical assessment, service quality tends to increase and costs fall over time.
Whatever you measure improves. A good and comprehensive Health IT solution not only serves and bring forth efficiency to the users, more importantly; it must be able to measure professional key performance by enabling peer review of doctors' treatment action conceived from the grouped information and or informing knowledge and productive-clinical knowledge.
Data alone is useless unless rules and conditions (i.e. test and or consultation and examination procedures) are built to form structures that establish the relationships among data. Within each structure, it must contain an organized data to form the grouped information.

Then through one's synthesizing, judgmental and diagnosis-decision process, populate all-new informing knowledge and productive-clinical findings to add on to the grouped information to facilitate continuous open learning.

When the clinical assessment is performed and guided by such a process structure, the outcome of every treatment plan and action for the patient attest to the value-added or vice versa.

NOTE:

grouped information means a pre-selected list of "probabilistic aspect of an answer"
informing and productive-clinical knowledge means new information findings discovered from assessment, diagnosis, communication, treatment, prevention, records, facilities and equipment, and integration

Patent Criteria 3 : Health Industry Application

The healthcare industry is evolving at breakneck speed. At the forefront of this transformation is the integration of systems and clinical data to increase information flow, improve patient outcomes, secure privacy, and manage costs.

The concept of SOBA is an ethic-based healthcare product for every physician from different medical faculties to be accountable to every patient in their professional practice.

From the healthcare perspective, SOBA offers comprehensive information technology services to support the development of health systems for better eligibility determination, health plan comparison, case management, and secure analytics and reporting.

These are very valuable and meaningful data to the Ministry of Health of all countries, including organizations' commitment to Patient Quality Assurance, Lower Healthcare Costs, Clinical Decision Support, and Disease Management.

As for academic faculties, pharmaceutical and clinical research foundations, contactable references for case study promises rich information delivery.

The data content output is clean, accurate, complete, and accumulative. It is what a modern Clinical Service module should be, that is, generate clear, effective, and respectful clinical oculo-visual data of the patient and have its treatment progress up-to-date through electronic health records.

This, in turn, expedites accurate and meaningful treatment decisions at reduced costs and high-quality services.

Big Data cum artificial intelligence allows central data management, reporting, and interfacing with all stakeholders to make patient managed-care rightly transparent, such as:

- Care Coordination & Referrals
- Health Screening and Wellness
- CPOE & CDS
- Consultation Summary & Documentation
- Education & Advice