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The envisioned Analytics and Reporting capabilities are powerful tools in the System. They allow technology to perform many tasks that are currently performed by humans, plus provide additional monitoring, data collection, analysis, error checking, and reporting that all improve healthcare. Analytics can be set up in advance for the collection and analysis of certain data, as well customization or ad-hoc capabilities for end-users to see the data in different formats.

 

Analysis can be based on a point value (threshold), delta, change, and/or trend across one or more pieces of data. Data includes monitored data, test data, and/or System events. Data can be digital or analog and collected through audio, visual, machine-to-machine, and manual input. Common Object interfaces and methods can perform the analysis and reporting across multiple devices and input methods with the same basic look and feel.

 

The System collects and provides a lot of information about the different Objects (people, devices, groups, services, etc.) in the System that can be analyzed. The data adheres to Standards and it is collected and saved for every monitored or tested event. These can be retrieved and analyzed across a person, group, region, or worldwide providing a treasure trove of data that has never been available before, and comes with the tools to analyze the data.

 

Some examples:

  • A Doctor wants to take as much current, historical, family history, etc. data on a patient that they can get and let technology perform initial cross analysis for any potential issues

  • Doctors and family members want better ways of defining patient baselines and being able to automatically measure and identify potential conditions or changes in conditions for individuals (using a wide variety of audio, visual, and vitals sensors creating baselines that can be automatically analyzed against)

  • Researchers and drug/device companies want to be able to quickly identify potential medicine/treatment conflicts (general and specific to certain classes of individuals)

  • WHO or CDC wants to be able to look for instantaneous trends or triggers on certain data collected within or across regions (flu symptoms, fevers, gastro intestinal, etc.) to detect epidemics or pandemics

  • An epidemic or pandemic has been detected and there needs to be a quick check to see if there are any other common symptoms, or patient traits associated with them, so that alerts and instructions can be sent worldwide

  • Researchers want to be able to check large amounts of worldwide data for certain trends in people based on sex, age, ethnic background, family history, personal history, region they live in, DNA markers, weight and other vitals, etc. to help determine the best practices for screening, diagnosis, and cures

  • To overcome a shortage of Healthcare Professionals in many areas, technology can guide, collect, analyze, and identify potential issues almost anywhere through expanded use of Medical AssistantsA device manufacturer wants to analyze their fielded product for common errors, HW/SW version numbers, and/or warranty/service expiration

  • A medical trial company wants to have closer monitoring (with trends and triggers) and verification of treatments on patients, as well as better history on the patients in the trials for any correlations

  • A hospital wants to improve their processes and needs to know the statistics/metrics on response time, number of escalations, and required follow-ups by shift or an individual

  • Organizations want to analyze the logistics and performance of their operations in supporting “At Risk” individuals or their response to Disaster or Humanitarian Aid

 

Data

 

The System stores a wide variety of data in common methods that can be correlated, checked against a threshold, or trended. The data is basically in the form of individual events, which are then associated with one or more objects (people as well as things like locations and devices). This data can be accessed (through permission) on a specific object, or in a more generic form across many different objects. For example, there can be extensive data associated with a specific individual, or information about a lot of different individuals could be analyzed, without affecting a person’s privacy.

 

The data is collected through different types of System Events that can include:

  • Identity and Information Events

  • Schedule EventsData Collection Events (real-time and baseline)

  • Threshold Events

  • Alert Events

 

For the purpose of this discussion, there are three categories of Data… Big Data, Medium Data, and Small Data. The next few sections describe some of the different classes of data and some examples of that data. These are just a few examples. With the potential data that will be able to be automatically collected and stored by millions of people worldwide, the sky is the limit on what data can be mined and analyzed for large number of different purposes.

Analytics and Reporting 

Small Data is typically a small amount of data associated with a single object. The data can be intrinsic to the object, or compared to well established norms\standards or established through Medium or Big Data.

  • Individual Data

    • Tracking of expected everyday events (getting up, moving, taking pills, etc.)Safety of entering or leaving an area

    • Associated Events (ID scan, procedure, movement, action, access, scheduled task , system events, measured data, analysis triggers, alerts, account activities, data, comments) – Basically any interaction with the System

    • Personal Data (medical data , security data, fitness data, control data, contact information, personal services data)

  • Practitioner Data

    • Personal Data (ID Scan, Qualifications, Shift, Role)

    • Services Performed

  • Device Data

    • Personal Data (ID Scan, warranty, support, errors, configurations, SW/HW/FW Versions, ESID, ESN)

    • Specific Device Issues (failure, need for calibration, need for service, remote access)

  • Facility Data

    • Home, office, department, building, organization (security, environmental, monitoring, control, efficiency, performance)

 

Medium Data is typically a collection of data associated with multiple objects that share one or more attributes, or one object that is having multiple pieces of data being analyzed for trends or changes.

  • Individual Data

  • Device Data (cross device data (failures))

  • Organization/Facility Data

    • Efficiency and Process ImprovementGroup/Organization Accountability

    • Treatment, Diagnosis, and Device Trials

    • CDC/WHO (change in general health, threshold triggers of certain data, environmental changes)

 

Big Data is typically a collection of data associated across multiple objects and attributes which is looking or more global trends or conclusions.

  • Identification of global trends and predictions in changing conditions (e.g. environment, diseases, and other health conditions)

  • Identification of correlated and causal symptoms/elements/markers to conditions (e.g. DNA, Blood Chemistry, Region, sex, environment, diseases, general health, other diagnosed conditions, etc.)

 

Analysis and Reports

 

The System is envisioned to have many different “canned analysis and reports”, common user APPs to graphically create custom analysis and reports, and a rich set of methods that can be used by developers to incorporate certain analysis and reporting into their product.

 

These can be fixed for a specific type of data, part of the initial configuration process, part of setting up canned or saved analysis jobs, or on an ad hoc basis. Graphs and Reports can be created and viewed, sent via email, placed in review queues, and/or saved indefinitely.

 

The System is envisioned to be able to use the analysis tools to create standard and custom graphs, reports, events, and alerts. When possible, standard reporting would be used to provide the same look and feel across applications and individuals. For example, having a standard report for the “Intelligent Adaptive Examination” Reports would make them easy to read and review by anyone picking one up. This also makes sure everything is captured, and less errors for data mission or not easy to find.

 

For graphs, there would be a standard set of tools to create line, bar, scatter, and pie graphs, and they would use support standard mathematical functions (comparisons with other data, min, max, average, deltas, rolling average, logical operators, STDev, etc.). The different views and data can be presented alone or stacked on top of each other to provide better visuals. Some additional features such as looking for certain trends within time ranges, or days of the week would also be initiated to assist identifying possible causes.

 

Reports can be canned or customized, and then saved based on a specific product or service (e.g. medical examination, device failures, and response times). Events can be processed or created through analysis (e.g. movement, suspect medical condition, etc.).

 

From a developer or end-user point of view, you just need to supply the data desired, the analysis, and desired output which can be preset or configurable by the end-user.

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