Method and system for automated medical records processing with cloud computing

• US 9,842,188 B2
• Filed: 12/06/2013
• Issued: 12/12/2017
• Est. Priority Date: 10/29/2002
• Status: Active Grant

• Current Assignee: Practice Velocity
• Original Assignee: Practice Velocity
• Inventors: Stern, David E.
• Primary Examiner(s): Nguyen, Tran N
• Application Number:
  US14/098,761
• Publication Number:
  US 20140100885A1
• Time in Patent Office: 1,467 Days
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method and system for automated medical records processing with cloud computing The method and system includes plural electronic medical templates specifically designed such that they reduce the complexity and risk associated with collecting patient encounter information, creating a medical diagnosis and help generate the appropriate number and type medical codes for a specific type of medical practice when processed. The medical codes and other types of processed patient encounter information are displayed in real-time on electronic medical records and invoices immediately after a patient encounter via a cloud computing network.

Claims

1. A method for automated processing of medical information, comprising:

creating on a plurality of cloud server network devices, each with one or more processors on a cloud communications network, a plurality of pooled cloud hardware resources comprising;

(1) automatic provisioning of the plurality of pooled cloud hardware resources usable in any amount at any time as needed and available via a plurality of cloud broadband network access components on the plurality of cloud server network devices;

(2) automatic scaling of the plurality of pooled cloud hardware resources to obtain and release one or more of the plurality of pooled cloud hardware resources as required;

(3) automatic controlling and optimizing the pooled cloud hardware resources with a metering method;

(4) a plurality of cloud software services for automated processing of medical information including a cloud Platform as a Service (PaaS), a cloud computing Infrastructure as a Service (IaaS), and plurality of available cloud Software services as a Service (SaaS) including a plurality of different software services for automated risk reduction in processing of medical records information after a patient encounter, the plurality of cloud software services for automated processing of medical information comprising;

cloud networking services, storage services, virtualization services, operating system services, run-time services, data services and application services executed with the plurality of pooled cloud hardware resources;

selecting from a first application on a first network device with one or more second processors a PaaS and a IaaS provided by the plurality of pooled cloud hardware resources on the cloud communications network;

selecting from the first application a first set of SaaS cloud services from a the plurality of available cloud SaaS services for automated electronic medical records processing including reducing risk and reducing a number of possible diagnostic decisions when processing medical records from the patient encounter, on a the cloud communications network;

selecting from the first application on the first network device with one or more SaaS services from the selected first set of SaaS cloud services a plurality of individual data structures comprising a plurality of medical information matrixes including a historical information (HX) matrix, a patient examination (PX) matrix, a complexity risk (CX) information matrix and an Evaluation and Management (E/M) summary information matrix, each with a plurality of unique matrix information fields, the plurality of individual data structures stored in one or more cloud storage objects on the cloud communications network and available to the first set of SaaS could services selected by the first application;

collecting data from the patient encounter into a plurality of data fields on one or more different electronic medical templates with one or more SaaS services from the selected first set of SaaS cloud services on the first application on the first network device with the one or more processors via the cloud communications network;

aggregating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time only selected ones of data items from the plurality of data fields from the one or more different electronic medical templates storing the collected patient encounter data into the plurality of information matrixes stored in the one or more cloud storage objects, the plurality of information matrixes including;

the historical information (HX) matrix, a patient examination (PX) matrix, the complexity risk (CX) information matrix and the Evaluation and Management (E/M) summary information matrix, each with the plurality of unique matrix information fields;

eliminating from the first with one or more SaaS services from the selected first set of SaaS cloud services with the only selected ones of data items aggregated into the plurality of information matrixes an amount and complexity of the patient encounter data collected to be reviewed during the patient encounter;

reducing from the first application with one or more SaaS services from the selected first set of SaaS cloud services with the selected data items aggregated into the plurality of information matrixes a number of diagnostic options to be considered during the patient encounter, thereby reducing a medical risk associated with making a complex medical decision for the patient encounter and limiting an amount and complexity of patient data to be processed and reviewed after the patient encounter;

calculating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time a plurality of matrix summary values from the plurality of information matrixes;

calculating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time one or more medical and billing codes using the calculated plurality of matrix summary values;

generating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time an electronic patient medical record with a plurality of data fields from the calculated plurality of matrix summary values and the one or more calculated medical and billing codes;

generating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time a patient invoice for the patient encounter from the generated electronic medical record; and

displaying securely from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time on the first network device on a display component via a graphical user interface (GUI) via the cloud communications network selected ones of the plural data fields from the generated electronic patient medical record, including complexity risk information for the patient encounter and the generated patient invoice wherein the generated electronic medical record provides a three hundred-sixty degree view of medical, billing, insurance and other information collected and generated from the patient encounter, wherein displaying the three hundred-sixty degree view comprises displaying the medical, billing, insurance and other information on the GUI surrounding a patient avatar.

2. The method of claim 1 wherein the one or more different electronic medical templates includes a plurality of electronic check-boxes including a plurality of different colors specifically selected for a specific type of medical practice, wherein processing the plurality of electronic check-boxes generates an appropriate number and type of medical diagnosis, medical risk and billing codes for the specific type of medical practice.

3. The method of claim 2, wherein the plurality of electronic check-boxes including a plurality of different colors includes a plurality of check-boxes in a first color and a second color, wherein the first color box indicates medical personal examined the patient during the patient encounter, but the patient does not have any abnormality in a body area or body system indicated by the check-box and the second color check box indicates the medical personal examined the patient during the patient encounter, but the patient does have one or more abnormalities in the body area or body system indicated by the check-box.

4. The method of claim 1 further comprising:

storing securely from the first application the generated electronic patient medical record from the patient encounter in a first set of one or more cloud storage objects on the cloud communications network; and

storing securely from the first application the generated patient invoice for the patient encounter in a second set of one or more cloud storage objects on the cloud communications network.

5. The method of claim 4 further comprising:

sending securely from the first application in real-time on the first network device a location of the first set of one or more cloud storage objects for generated electronic patient medical record and a location of the second set of one or more cloud storage objects for the generated patient invoice to a second application on a server network device with one or more processors via the cloud communications network;

displaying securely from the second application on the server network device on a display component via a graphical user interface (GUI) selected ones of the plurality of data fields from the generated electronic patient medical record, including complexity risk information for the patient encounter and the generated patient invoice wherein the generated electronic medical record provides the three hundred-sixty degree view of medical, billing, insurance and other information collected and generated from the patient encounter.

6. The method of claim 1 wherein the one or more different electronic medical templates include one or more of:

a medical practice template, electronic invoice template, electronic medical record template, a current compliant template, a diagnosis template, a nurse template, a review template, or an insurance provider template, wherein the medical practice template includes an electronic medical template for pediatrics, obstetrics and gynecology, cardiology, neurology, family practice medicine, emergency room medicine, walk-in clinics or urgent care clinics.

7. The method of claim 6 wherein the medical practice template includes a plurality of features and data fields comprising:

Menopause documentation, Pregnancy Electronic Due Date Calculator (EDC), Clinical decision support, Clinical decision alerts and action plans, Pharyngitis alerts, History not completed, New condition workup planned, Provider-to-Provider notes section, Preformatted discharge notes, Visit summary notes, Third party primary historian notes, Electronic signature collection, Document multiple health protocols, Integration with laboratory services, Virtual phone encounter motes, X-ray interface, Date of birth birthday notification, Medicare and Medicaid reports, Clinical Quality Measures (CQM) and National Framework of Qualifications (NQF) reports, Graphical plots of vital charts, Medication Reconciliation, Public Health Surveillance interface, Matrix calcuation and coding results reports and queries and multi-colored patient, insurance and billing alerts.

8. The method of claim 1 wherein the one or more cloud storage objects include one or more of:

a REpresentational State Transfer (REST), Simple Object Access Protocol (SOAP), or Lightweight Directory Access Protocol (LDAP) cloud storage objects, portions thereof, or combinations thereof.

9. The method of claim 1 wherein the one or more medical codes and billing codes include one or more of Evaluation and Management codes (“

E/Ms”

) codes, Current Procedural Terminology (“

CPTs”

) codes, Health Care Financing Administration Common Procedural Coding System (“

HCPCS”

) codes International Classification of Diseases 9th Edition Clinical Modification (“

ICD-9”

) codes, or International Classification of Diseases 10th Edition Clinical Modification (“

ICD-10”

) codes.

10. The method of claim 1 wherein the aggregating step further includes:

automatically making one or more queries to a second application on a second network device with one or more processors via the cloud communications network to obtain existing electronic medical records or electronic medical insurance records for the patient, if any are available; and

extracting pre-determined data values from the obtained existing electronic medical records or electronic medical insurance records comprising;

extracting one or more history values from the HX information matrix;

extracting one or more physical examination values from the PX information matrix;

extracting one or more complexity risk values from the CX information matrix;

extracting one or more patient status values from patient status information extracted from the patient encounter information from the HX information matrix;

extracting one or more patient demographic values from patient demographic information extracted from the patient encounter information from the HX information matrix;

extracting one or more diagnosis values from diagnosis information extracted from the patient encounter information from the CX information matrix;

extracting one or more clinical procedure values from clinical procedure information extracted from the patient encounter information from the CX information matrix;

extracting one or more supply values from supply information extracted from the patient encounter information from the HX, PX and CX information matrix; and

generating one or more medical and billing codes using the plurality of extracted values from the one or more summary information E/M information matrixes.

11. The method of claim 1 wherein the aggregating step further includes:

aggregating into the HX information matrix a plurality of information elements stored in the one or more cloud storage objects comprising;

a chief complaint (“

CC”

), history of present illness (“

HPI”

), past medical, family, social history information (“

PFMSH”

) or review of system (“

ROS”

) information elements;

aggregating into the PX information matrix a plurality of information elements stored in the one or more cloud storage objects comprising;

(“

PF”

) exam information for a general exam;

an expanded problem focused exam (“

EXPF”

) a detailed exam (“

DET”

) or comprehensive exam (“

COMP”

) information elements;

aggregating the CX information matrix a plurality of information elements stored in the one or more cloud storage objects comprising;

diagnosis (“

DX”

) or treatment options information elements including a straight forward (“

SF”

) diagnosis, low risk (“

LOW”

) number of diagnosis, a moderate number of (“

MOD”

) diagnosis or a high (“

HIGH”

) number of diagnosis and a plurality of risk (“

RISK”

) information elements including straight forward (“

SF”

) risk information, low risk (“

LOW”

) information, moderate risk (“

MOD”

) information or high risk (“

HIGH”

) information; and

aggregating into one or more Evaluation and Management (E/M) summary information matrixes stored in the one or more cloud storage objects the HX matrix summary values, the PX matrix summary values and the CX matrix summary values for new patient encounters and established patient encounters.

12. The method of claim 1 wherein the first network device includes a personal digital/data assistant (PDA), an electronic tablet, an Internet appliance, a mobile phone, a smart phone, an electronic gaming platform, a desktop computer or a laptop computer.

13. The method of claim 1 wherein the first network device includes a wireless interface for communicating with the cloud communications network, the wireless interface comprising:

an IEEE 802.11a, 802.11b, 802.11g, 802.11n, 802.15.4(ZigBee), 802.16a, 802.16g, infra data association (IrDA), Bluetooth, Wireless Fidelity (Wi-Fi), wireless personal area network (WPAN), Worldwide Interoperability for Microwave Access (WiMAX), ETSI High Performance Radio Metropolitan Area Network (HIPERMAN), cellular telephone or cellular telephone data wireless interface.

14. The method of claim 1 wherein the first application on the first network device provides the cloud computing Infrastructure as a Service (IaaS), the cloud Platform as a Service (PaaS) and an electronic medical records processing Specific cloud software service as a Service (SaaS) including the one or more different software services for the automated processing of medical records information on a plurality of hardware resources on the first network device, wherein the plurality of hardware resources on the first network device are included in the plurality of pooled cloud hardware resources.

15. The method of claim 1 further comprising:

providing a secure electronic kiosk with one or more processors in communications with a second application on a server network device with one or more processors via the cloud communications network;

receiving securely patient appointment and registration information and preliminary patient encounter information on the electronic kiosk from a patient; and

securely sending the received patient appointment and registration information and preliminary patient encounter information from the electronic kiosk via the cloud communications network to the second application on the server network device,

thereby allowing the patient to enter patient appointment and registration information and preliminary patient encounter information via the electronic kiosk and making the patient appointment and registration and preliminary patient encounter information available to the first application on the first network device before an actual patient encounter occurs.

16. The method of claim 1 further comprising:

providing a secure patient encounter application to a client network device with one or more processors from a second application on a server network device with one or more processors via the cloud communications network;

receiving securely patient appointment and registration and preliminary patient encounter information on the second application on the server network device via the cloud communications network from the secure patient encounter application on the client network device for a patient,

thereby allowing the patient to enter patient appointment and registration and preliminary patient encounter information via the secure patient encounter application on the client network device and making the patient appointment and registration and preliminary patient encounter information available to the first application on the first network device before an actual patient encounter occurs; and

sending one or more types of automated messages to the secure patient encounter application on the client network device confirming successful receiving of patient appointment and registration and preliminary patient encounter information on the second application on the server network device.

17. The method of claim 1 further comprising:

providing a secure employer portal for selected patient encounter information via a second application on a server network device with one or more processors via the cloud communications network;

receiving via the employer portal protocol procedures to set up a selected medical visit protocol based on employer preferences for patient encounters for patients who are employed by the employer;

receiving via the employer portal insurance procedures to set up one or more insurance carriers related to the employer whereby the one or more insurance carriers will automatically be inserted under a payer of the patient that whose patient encounter is workman'"'"'s compensation visit; and

receiving via the employer portal from the employer of the patient who generated the patient encounter a view request to securely view the generated electronic patient medical record and the generated patient invoice generated from patient encounter to view services billed to the employer for employer provided health insurance or for the workman'"'"'s compensation visits.

18. A non-transitory computer readable medium having stored therein a plurality of instructions to execute the steps of:

creating on a plurality of cloud server network devices, each with one or more processors on a cloud communications network, a plurality of pooled cloud hardware resources comprising;

(1) automatic provisioning of the plurality of pooled cloud hardware resources usable in any amount at any time as needed and available via a plurality of cloud broadband network access components on the plurality of cloud server network devices;

(2) automatic scaling of the plurality of pooled cloud hardware resources to obtain and release one or more of the plurality of pooled cloud hardware resources as required;

(3) automatic controlling and optimizing the pooled cloud hardware resources with a metering method;

(4) a plurality of cloud software services for automated processing of medical information including a cloud Platform as a Service (PaaS), a cloud computing Infrastructure as a Service (IaaS), and plurality of available cloud Software services as a Service (SaaS) including a plurality of different software services for automated risk reduction in processing of medical records information after a patient encounter, the plurality of cloud software services for automated processing of medical information comprising;

cloud networking services, storage services, virtualization services, operating system services, run-time services, data services and application services executed with the plurality of pooled cloud hardware resources;

selecting from a first application on a first network device with one or more second processors a PaaS and a IaaS provided by the plurality of pooled cloud hardware resources on the cloud communications network;

selecting from the first application a first set of SaaS cloud services from a the plurality of available cloud SaaS services for automated electronic medical records processing including reducing risk and reducing a number of possible diagnostic decisions when processing medical records from the patient encounter, on a the cloud communications network;

selecting from the first application on the first network device with one or more SaaS services from the selected first set of SaaS cloud services a plurality of individual data structures comprising a plurality of medical information matrixes including a historical information (HX) matrix, a patient examination (PX) matrix, a complexity risk (CX) information matrix and an Evaluation and Management (E/M) summary information matrix, each with a plurality of unique matrix information fields, the plurality of individual data structures stored in one or more cloud storage objects on the cloud communications network and available to the first set of SaaS could services selected by the first application;

collecting data from the patient encounter into a plurality of data fields on one or more different electronic medical templates with one or more SaaS services from the selected first set of SaaS cloud services on the first application on the first network device with the one or more processors via the cloud communications network;

aggregating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time only selected ones of data items from the plurality of data fields from the one or more different electronic medical templates storing the collected patient encounter data into the plurality of information matrixes stored in the one or more cloud storage objects, the plurality of information matrixes including;

the historical information (HX) matrix, a patient examination (PX) matrix, the complexity risk (CX) information matrix and the Evaluation and Management (E/M) summary information matrix, each with the plurality of unique matrix information fields;

eliminating from the first with one or more SaaS services from the selected first set of SaaS cloud services with the only selected ones of data items aggregated into the plurality of information matrixes an amount and complexity of the patient encounter data collected to be reviewed during the patient encounter;

reducing from the first application with one or more SaaS services from the selected first set of SaaS cloud services with the selected data items aggregated into the plurality of information matrixes a number of diagnostic options to be considered during the patient encounter, thereby reducing a medical risk associated with making a complex medical decision for the patient encounter and limiting an amount and complexity of patient data to be processed and reviewed after the patient encounter;

calculating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time a plurality of matrix summary values from the plurality of information matrixes;

calculating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time one or more medical and billing codes using the calculated plurality of matrix summary values;

generating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time an electronic patient medical record with a plurality of data fields from the calculated plurality of matrix summary values and the one or more calculated medical and billing codes;

generating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time a patient invoice for the patient encounter from the generated electronic medical record; and

displaying securely from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time on the first network device on a display component via a graphical user interface (GUI) via the cloud communications network selected ones of the plural data fields from the generated electronic patient medical record, including complexity risk information for the patient encounter and the generated patient invoice wherein the generated electronic medical record provides a three hundred-sixty degree view of medical, billing, insurance and other information collected and generated from the patient encounter, wherein displaying the three hundred-sixty degree view comprises displaying the medical billing, insurance and other information on the GUI surrounding a patient avatar.

19. A system for automated processing of medical information, comprising in combination:

a cloud communications network;

one or more network devices configured for causing one or more processors on the one or more networking devices to execute a plurality of instructions;

for creating on a plurality of cloud server network devices, each with one or more processors on a cloud communications network, a plurality of pooled cloud hardware resources comprising;

(1) automatic provisioning of the plurality of pooled cloud hardware resources usable in any amount at any time as needed and available via a plurality of cloud broadband network access components on the plurality of cloud server network devices;

(2) automatic scaling of the plurality of pooled cloud hardware resources to obtain and release one or more of the plurality of pooled cloud hardware resources as required;

(3) automatic controlling and optimizing the pooled cloud hardware resources with a metering method;

(4.) a plurality of cloud software services for automated processing of medical information including a cloud Platform as a Service (PaaS), a cloud computing Infrastructure as a Service (IaaS), and plurality of available cloud Software services as a Service (SaaS) including a plurality of different software services for automated risk reduction in processing of medical records information after a patient encounter, the plurality of cloud software services for automated processing of medical information comprising;

cloud networking services, storage services, virtualization services, operating system services, run-time services, data services and application services executed with the plurality of pooled cloud hardware resources;

for selecting from a first application on a first network device with one or more second processors a PaaS and a IaaS provided by the plurality of pooled cloud hardware resources on the cloud communications network;

for selecting from the first application a first set of SaaS cloud services from a the plurality of available cloud SaaS services for automated electronic medical records processing including reducing risk and reducing a number of possible diagnostic decisions when processing medical records from the patient encounter, on a the cloud communications network;

for selecting from the first application on the first network device with one or more SaaS services from the selected first set of SaaS cloud services a plurality of individual data structures comprising a plurality of medical information matrixes including a historical information (HX) matrix, a patient examination (PX) matrix, a complexity risk (CX) information matrix and an Evaluation and Management (E/M) summary information matrix, each with a plurality of unique matrix information fields, the plurality of individual data structures stored in one or more cloud storage objects on the cloud communications network and available to the first set of SaaS could services selected by the first application;

for collecting data from the patient encounter into a plurality of data fields on one or more different electronic medical templates with one or more SaaS services from the selected first set of SaaS cloud services on the first application on the first network device with the one or more processors via the cloud communications network;

for aggregating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time only selected ones of data items from the plurality of data fields from the one or more different electronic medical templates storing the collected patient encounter data into the plurality of information matrixes stored in the one or more cloud storage objects, the plurality of information matrixes including;

the historical information (HX) matrix, a patient examination (PX) matrix, the complexity risk (CX) information matrix and the Evaluation and Management (E/M) summary information matrix, each with the plurality of unique matrix information fields;

for eliminating from the first with one or more SaaS services from the selected first set of SaaS cloud services with the only selected ones of data items aggregated into the plurality of information matrixes an amount and complexity of the patient encounter data collected to be reviewed during the patient encounter;

for reducing from the first application with one or more SaaS services from the selected first set of SaaS cloud services with the selected data items aggregated into the plurality of information matrixes a number of diagnostic options to be considered during the patient encounter, thereby reducing a medical risk associated with making a complex medical decision for the patient encounter and limiting an amount and complexity of patient data to be processed and reviewed after the patient encounter;

for calculating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time a plurality of matrix summary values from the plurality of information matrixes;

for calculating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time one or more medical and billing codes using the calculated plurality of matrix summary values;

for generating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time an electronic patient medical record with a plurality of data fields from the calculated plurality of matrix summary values and the one or more calculated medical and billing codes;

for generating from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time a patient invoice for the patient encounter from the generated electronic medical record; and

for displaying securely from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time on the first network device on a display component via a graphical user interface (GUI) via the cloud communications network selected ones of the plural data fields from the generated electronic patient medical record, including complexity risk information for the patient encounter and the generated patient invoice wherein the generated electronic medical record provides a three hundred-sixty degree view of medical, billing, insurance and other information collected and generated from the patient encounter, wherein displaying the three hundred-sixty degree view comprises displaying the medical, billing, insurance and other information on the GUI surrounding a patient avatar;

for storing securely from the first application with one or more SaaS services from the selected first set of SaaS cloud services the generated electronic patient medical record from the patient encounter in a first set of one or more cloud storage objects on the cloud communications network;

for storing securely from the first application with one or more SaaS services from the selected first set of SaaS cloud services the generated patient invoice for the patient encounter in a second set of one or more cloud storage objects on the cloud communications network;

for sending securely from the first application with one or more SaaS services from the selected first set of SaaS cloud services in real-time on the first network device a location of the first set of one or more cloud storage objects for generated electronic patient medical record and a location of the second set of one or more cloud storage objects for the generated patient invoice to a second application on a server network device with one or more processors via the cloud communications network;

for displaying securely from the second application on the server network device on a display component via a second GUI, selected ones of the plurality of data fields from the generated electronic patient medical record, including complexity risk information for the patient encounter and the generated patient invoice wherein the generated electronic medical record provides a three hundred-sixty degree view of medical, billing, insurance and other information collected and generated from the patient encounter;

for providing a secure electronic kiosk with one or more processors thereby allowing the patient to enter patient appointment and registration and preliminary patient encounter information via the electronic kiosk and making the patient appointment and registration and preliminary patient encounter information available to the first application on the first network device before an actual patient encounter occurs;

for providing a secure patient encounter application to a client network device with one or more processors from the second application on the server network device via the cloud communications network, thereby allowing the patient to enter patient appointment and registration and preliminary patient encounter information via the secure patient encounter application on the client network device and making the patient appointment and registration and preliminary patient encounter information available to the first application on the first network device before an actual patient encounter occurs;

for providing a secure employer portal for selected patient encounter information via the second application on the server network device via the cloud communications network, thereby allowing an employer of patients who generate patient encounters to securely view the generated electronic patient medical records and the generated patient invoices ad to view services billed to the employer for employer provided health insurance or for the workman'"'"'s compensation visits.

20. The system for automated processing of medical information of claim 19 further comprising the second application offering the cloud computing Infrastructure as a Service (IaaS), the cloud Platform as a Service (PaaS) and offering the electronic medical records processing Specific cloud software service as a Service (SaaS) including the one or more different cloud software services for automated processing of medical records information collected from a the patient encounter.