DETAILED ACTION
The present office action represents a nonfinal action on the merits.
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Priority
This application claims the priority date of foreign application KR10-2022-0094921 dated July 29, 2022 and 371 of PCT/KR2023/009964 dated July 12, 2023.
Status of Claims
Claims 1, 31-36, 44-47, 50-53, 55-58, and 61 are pending.
Claim Rejections - 35 USC § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claims 1, 31-36, 44-47, 50-53, 55-58, and 61 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more.
Claim 1 is drawn to a method for processing a request for an infectious disease test for a community group, which is within the four statutory categories (i.e., process). Claims 31-36, 44-47, 50-53, 55-58 are drawn to a device for processing a request for an infectious disease test for a community group, which is within the four statutory categories (i.e., machine). Claim 61 is drawn to a non-transitory computer-readable storage medium storing a computer program for processing a request for an infectious disease test for a community group, which is within the four statutory categories (i.e., machine).
Claim 1 recites a method for processing a request for an infectious disease test for a community group and a test result notification in a computing apparatus using a memory, a processor, and one or more programs stored on the memory and configured to be executed by the processor, the method comprising:
generating, by the processor, a community group including a plurality of users;
providing, by the processor, a test information for the infectious disease test to the plurality of users included in the community group;
receiving, by the processor, test results of the infectious disease test conducted on the plurality of users;
generating, by the processor, an integrated test result of the community group using the test results; and
providing, by the processor, the integrated test result to a health manager of the community group.
Claims 31-36, 44-47, 50-53, 55-58 recite a device for processing a request for an infectious disease test for a community group and a test result notification, the device comprising:
a memory configured to store at least one instruction; and
a processor;
wherein the at least one instruction is executed by the processor, to:
generate a community group including a plurality of users;
provide a test information for the infectious disease test to the plurality of users included in the community group;
receive test results of the infectious disease test conducted on the plurality of users;
generate an integrated test result of the community group using the test results; and
provide the integrated test result to a health manager of the community group.
Claim 61 recites a non-transitory computer-readable storage medium storing a computer program for processing a request for an infectious disease test for a community group and a test result notification, the computer program configured to perform:
generate a community group including a plurality of users;
provide a test information for the infectious disease test to the plurality of users included in the community group;
receive test results of the infectious disease test conducted on the plurality of users;
generate an integrated test result of the community group using the test results; and
provide the integrated test result to a health manager of the community group.
The bolded limitations, given the broadest reasonable interpretation, cover a certain method of organizing human activity, but for the recitation of generic computer components (e.g., computing apparatus, memory, or processor, etc.). The underlined limitations are not part of the identified abstract idea (the method of organizing human activity) and are deemed “additional elements,” and will be discussed in further detail below.
Dependent claims 32-36, 44-47, 50-53, and 55-58 are similarly rejected because they either further define/narrow the abstract idea and/or do not further limit the claim to a practical application or provide an inventive concept such that the claims are subject matter eligible even when considered individually or as an ordered combination. These limitations only serve to further limit the abstract idea (or contain the same additional elements found in the independent claim), and hence are nonetheless directed towards fundamentally the same abstract idea as independent claims 1, 31, and 61.
The dependent claims include additional limitations, but these only serve to further limit the abstract idea, and hence are nonetheless directed towards fundamentally the same abstract idea as independent claims 1, 31, and 61.
The additional elements from claims 1 and 31 include:
memory (apply it, MPEP 2106.05(f)).
processor (apply it, MPEP 2106.05(f)).
The additional elements from claim 1 include:
a computing apparatus (apply it, MPEP 2106.05(f)).
one or more programs stored on the memory and configured to be executed by the processor (apply it, MPEP 2106.05(f)).
The additional elements from claim 31 include:
a device (apply it, MPEP 2106.05(f)).
store at least one instruction (apply it, MPEP 2106.05(f)).
The additional elements from claim 61 include:
a non-transitory computer-readable storage medium storing a computer program for processing a request for an infectious disease test for a community group and a test result notification, the computer program configured to perform (apply it, MPEP 2106.05(f)).
These additional elements, in the independent claims are not integrated into a practical application because the additional elements (i.e., the limitations not identified as part of the abstract idea) amount to no more than limitations which:
Amount to mere instructions to apply an exception – for example, the recitation of “a processor”, “a memory”, “a non-transitory machine-readable storage medium”, and “a computing apparatus”, which amounts to merely invoking a computer as a tool to perform the abstract idea e.g., see Specification Paragraphs [0012]-[0013], [0017]-[0021], [0054], and [0160] (See MPEP 2106.05(f)).
Furthermore, the claims do not include additional elements that are sufficient to amount to “significantly more” than the judicial exception because, the additional elements (i.e., the elements other than the abstract idea) amount to no more than limitations which:
amount to elements that have been recognized as well-understood, routine, and conventional activity in particular fields, as demonstrated by:
The Specification discloses that the additional elements are well-understood, routine, and conventional in nature (i.e., the Specification Paragraphs [0012]-[0013], [0017]-[0021], [0054], and [0160] discloses that the additional elements (i.e., a processor, a memory, a non-transitory machine-readable storage medium, and a computing apparatus) comprise a plurality of different types of generic computing systems that are configured to perform generic computer functions that are well understood routine, and conventional activities previously known to the pertinent industry (i.e., a computer);
Relevant court decisions: The following example of court decision demonstrating well understood, routine and conventional activities, e.g., see MPEP 2106.05(d)(II): Receiving medication use data, e.g., see Intellectual Ventures v. Symantec – similarly, the current invention receives patient test results.
Dependent claims 32-36, 44-47, 50-53, and 55-58 include other limitations, but none of these functions are deemed significantly more than the abstract idea. Thus, taken alone, the additional elements do not amount to “significantly more” than the above identified abstract idea. Furthermore, looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually, and there is no indication that the combination of elements improves any other technology, and their collective functions merely provide conventional computer implementation.
The application, is an attempt to organize human activity, using a method and computing apparatus for testing community group infectious disease and notifying test results, which is not patentable. Therefore, whether taken individually or as an ordered combination, claims 1, 31-36, 44-47, 50-53, 55-58, and 61 are nonetheless rejected under 35 U.S.C. 101 as being directed to non-statutory subject matter.
Claim Rejections - 35 USC § 102
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention.
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claims 1, 31-34, 44-46, 53, 55-58, and 61 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Jain (U.S. Pub. No. 2024/0395419 A1).
Regarding claim 1, Jain discloses a method for processing a request for an infectious disease test for a community group and a test result notification in a computing apparatus using a memory, a processor, and one or more programs stored on the memory and configured to be executed by the processor, the method comprising (Paragraphs [0018]-[0022], [0034], [0054], [0161] discuss methods, systems, and apparatus, including computer programs encoded on computer-storage media, for automated contact tracing, the system can evaluate the risks and needs of different communities and can use the information to provide contact to individuals involved, for example, in response to determining that a person was in contact with someone who has a confirmed or probable case of COVID-19, the system can send a notification or warning to the person, instructions or recommendations to the person also, such as recommending a disease testing kit.):
generating, by the processor, a community group including a plurality of users (Paragraphs [0022]-[0024] discuss the system can obtain monitoring data from individuals on an ongoing or continual basis using digital platforms, as well as obtain aggregated data regarding communities and the effects of a disease, provide diagnostic testing across a community, can schedule doctor appointments or laboratory tests, etc.);
providing, by the processor, a test information for the infectious disease test to the plurality of users included in the community group (Paragraphs [0016]-[0020] discuss the system can combine disease status information gathered from multiple people and evaluate the risks and needs of different communities.);
receiving, by the processor, test results of the infectious disease test conducted on the plurality of users (Paragraph [0017] discusses the system can use information gathered about the disease status of individuals.);
generating, by the processor, an integrated test result of the community group using the test results (Paragraphs [0017]-[0020] discuss after gathering disease status from multiple people, evaluate the risks and needs of the communities.); and
providing, by the processor, the integrated test result to a health manager of the community group (Paragraph [0385] and FIG. 12 discuss provide infection information and recommendations for a community can be provided to users associated with a community, including researchers studying the disease, doctors treating patients in the community, government leaders in the community, business owners for businesses having locations in the community, and so on.).
Regarding claim 31, Jain discloses device for processing a request for an infectious disease test for a community group and a test result notification, the device comprising (Paragraphs [0579], [0582], and [0587] discuss selecting and communicating by the one or more computers a recommended disease management action for individuals and/or communities, for example, the condition of any user having an exposure score over 20 may be encouraged to take a test for COVID-19 and the system can provide information about exposure at the community level and provide the information to community health organizations.):
a memory configured to store at least one instruction (Paragraph [0789] discusses a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data.); and
a processor (Paragraph [0789] discusses a processor.);
wherein the at least one instruction is executed by the processor, to (Paragraph [0789] discusses a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data.):
generate a community group including a plurality of users (Paragraph [0020] discusses the system can evaluate the risks and needs of different communities to customize various disease-related measurements, predictions, and recommendations for the different communities and the communities can be different geographic regions, and fine-grained recommendations can be made for areas such as counties, cities, zip codes, or neighborhoods using individuals in the community.);
provide a test information for the infectious disease test to the plurality of users included in the community group (Paragraph [0019] discusses once contacts between individuals are identified, the system can use the information to provide contact to individuals involved, for example, in response to determining that a person was in contact with someone who has a confirmed or probable case of COVID-19, the system can send a notification or warning to the person, instructions or recommendations, such as instructing a period of isolation following the contact, recommending a visit to a doctor, recommending a disease testing kit.);
receive test results of the infectious disease test conducted on the plurality of users (Paragraphs [0012] and [0016] discuss the system can trigger various prompts or requests for information from users, for example, in response to determining that a person was in contact with someone who has a confirmed or probable case of COVID-19, the system can send a notification or warning to the person, send instructions or recommendations recommending a disease testing kit, and receive information about disease status for an individual, e.g., a positive COVID-19 test result.);
generate an integrated test result of the community group using the test results (Paragraphs [0017], [0020], and [0025] discuss the system can use information gathered about disease status of individuals (e.g., positive test results) in combination with location tracking data and evaluate the risks and needs of different communities.); and
provide the integrated test result to a health manager of the community group (Paragraph [0385] and FIG. 12 discuss provide infection information and recommendations for a community can be provided to users associated with a community, including researchers studying the disease, doctors treating patients in the community, government leaders in the community, business owners for businesses having locations in the community, and so on.).
Regarding claim 32, Jain discloses wherein the at least one instruction executed by the processor further comprises providing, to the health manager, an infectious disease comparison information obtained by comparing an infection index generated using the test results with an infection index generated using infectious disease test results for at least one of an administrative district including the community group and another community (Paragraph [0385]-[0378], [0423], and FIG. 12 discuss provide infection information and recommendations for a community can be provided to users associated with a community, including researchers studying the disease, doctors treating patients in the community, government leaders in the community, business owners for businesses having locations in the community, and so on; the system can access data for many different individuals, not only those in the specific community of interest, for example, while information about the those who reside in a community has a high impact on the community, the health and behavior of outside visitors the community has an impact, as does the health and behavior of those in outside areas where community members visit.).
Regarding claim 33, Jain discloses wherein the infection index includes at least one of an infection rate (positive rate) for the infectious disease, a basic reproduction number for the infectious disease, local safety index for the infectious disease, and contagion index for the infectious disease (Paragraph [0272] discusses models used to predict infection take into account infection rates in the user’s community, etc.).
Regarding claim 34, Jain discloses wherein the test information includes at least one selected from a group consisting of test reception request information, sampling method information, sampling available time information, sampling place information, test schedule information, questionnaire and medical institution reservation request information for the infectious disease test (Paragraphs [0019], [0036], [0199], and [0255] discuss the system can send instructions or recommendations to the person also, such as instructing a period of isolation following the contact, recommending a visit to a doctor, recommending a disease testing kit, selecting medical devices and settings for them, and so on.).
Regarding claim 44, Jain discloses wherein the integrated test result includes an infectious disease statistical information for the community group generated using the test results corresponding to the plurality of users (Paragraphs [0016]-[0017], [0281] and [0387]-[390] discuss obtain disease status of individuals, test results and community data indicates disease measures for the community and monitoring data comes in (e.g., through sensor data for the user and self-reported data for the user), and community statistical reports for COVID-19 are updated.).
Regarding claim 45, Jain discloses wherein the infectious disease statistical information is generated by the infectious disease test results and previous infectious disease test results to provide at least one of i) information on a change in a positive rate of the infectious disease test over time, ii) information on a positive rate prediction using the change in the positive rate, and iii) information on a positive rate prediction using a cycle threshold (Ct) value of the infectious disease test over time (Paragraphs [0017] and [0389] discuss system can use information gathered about the disease status of individuals (e.g., positive test results, disease symptoms, disease status predictions generated using machine learning models, etc.) in combination with location tracking data to identify instances where COVID-19 may have spread or has actually spread; community data can be collected on an ongoing basis, such as results of COVID—19 testing, predictions, transmission rate metrics, and more, the community data can indicate periodic (e.g., daily) counts of individuals in the community who have (i) been diagnosed with COVID-19.).
Regarding claim 46, Jain discloses wherein the integrated test result further includes the test results for the plurality of users (Paragraphs [0389] discuss community data can indicated periodic (e.g., daily) counts of individuals in the community who have been diagnosed with COVID-19 and results of COVID-19 testing.).
Regarding claim 53, Jain discloses wherein in the generating of the community group, the community group is generated using personal information on the plurality of users (Paragraphs [0020] discuss communities can be different geographic regions, and fine-grained recommendations can be made for areas such as counties, cities, zip codes, or neighborhoods; for example, if a trip is planned for a family, a group of families, a business or other organization, etc., the system can detect a high risk of disease exposure and can take a disease management action in response.).
Regarding claim 55, Jain discloses wherein the at least one instruction executed by the processor further comprises, prior to the providing of the test information, providing, to at least one of the plurality of users or the health manager, a plurality of infectious disease test items, for selection of an infectious disease test to be performed in the community group (Paragraphs [0019]-[0020], [0161] discuss instructions that when executed by data processing apparatus, the system can send instructions or recommendations to the person, such as instructing a period of isolation following the contact, recommending a visit to a doctor, recommending a disease testing kit, and so on, the system can evaluate the risks and needs of different communities to customize various disease-related measurements, predictions, and recommendations.); and
receiving, from at least one of the plurality of users or the health manager, a selected test item from the plurality of infectious disease test items (Paragraphs [0036], [0051], and [0058] discuss monitoring data and predictions can be used to select a testing kit for the user.).
Regarding claim 56, Jain discloses wherein the infectious disease test items include at least one selected from a group consisting of COVID-19, influenza, 2022 monkeypox, sexually transmitted infections, human papillomavirus infections, respiratory infections, gastrointestinal tract infections, tuberculosis, drug resistance, and meningitis (Paragraph [0058] discusses selecting, from among a plurality of COVID-19 testing kits, a testing kit for the particular individual.).
Regarding claim 57, Jain discloses wherein the infectious disease test is a molecular diagnostics test (Paragraphs [0769] and [0772] discuss data collected can include lab and diagnostic data, e.g., blood test results, tissue sample, DNA.).
Regarding claim 58, Jain discloses wherein the community group is at least one selected from a group consisting of an educational institution, a childcare institution, a postnatal care center, a company, a car sharing service, a transportation, a religious facility, a restaurant, a travel agency, a nursing home, a performance facility, a sports facility, and a shopping mall (Paragraph [0411] discusses a community (e.g., school class, business, sports team, etc.).).
Regarding claim 61, Jain discloses a non-transitory computer-readable storage medium storing a computer program for processing a request for an infectious disease test for a community group and a test result notification, the computer program configured to perform (Claims 16-20, Paragraphs [0579], [0582], and [0587] discuss one or more non-transitory computer readable media storing instructions, selecting and communicating by the one or more computers a recommended disease management action for individuals and/or communities, for example, the condition of any user having an exposure score over 20 may be encouraged to take a test for COVID-19 and the system can provide information about exposure at the community level and provide the information to community health organizations.):
generate a community group including a plurality of users (Paragraph [0020] discusses the system can evaluate the risks and needs of different communities to customize various disease-related measurements, predictions, and recommendations for the different communities and the communities can be different geographic regions, and fine-grained recommendations can be made for areas such as counties, cities, zip codes, or neighborhoods using individuals in the community.);
provide a test information for the infectious disease test to the plurality of users included in the community group (Paragraph [0019] discusses once contacts between individuals are identified, the system can use the information to provide contact to individuals involved, for example, in response to determining that a person was in contact with someone who has a confirmed or probable case of COVID-19, the system can send a notification or warning to the person, instructions or recommendations, such as instructing a period of isolation following the contact, recommending a visit to a doctor, recommending a disease testing kit.);
receive test results of the infectious disease test conducted on the plurality of users (Paragraphs [0012] and [0016] discuss the system can trigger various prompts or requests for information from users, for example, in response to determining that a person was in contact with someone who has a confirmed or probable case of COVID-19, the system can send a notification or warning to the person, send instructions or recommendations recommending a disease testing kit, and receive information about disease status for an individual, e.g., a positive COVID-19 test result.);
generate an integrated test result of the community group using the test results (Paragraphs [0017], [0020], and [0025] discuss the system can use information gathered about disease status of individuals (e.g., positive test results) in combination with location tracking data and evaluate the risks and needs of different communities.); and
provide the integrated test result to a health manager of the community group (Paragraph [0385] and FIG. 12 discuss provide infection information and recommendations for a community can be provided to users associated with a community, including researchers studying the disease, doctors treating patients in the community, government leaders in the community, business owners for businesses having locations in the community, and so on.).
Claim Rejections - 35 USC § 103
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
Claim 35 is rejected under 35 U.S.C. 103 as being unpatentable over Jain in view of White (U.S. Pub. No. 2021/0391041 A1).
Regarding claim 35, Jain discloses wherein the sampling method information relates to a method for collecting samples from the plurality of users for the infectious disease test, and includes information that allows the plurality of users to select iii) the plurality of users directly collecting samples, or information provided to the plurality of users about a pre-selected sampling method (Paragraphs [0278], [0319] discuss the system can make progressive changes in monitoring, including through sensor data collection, providing surveys and direct user interactions with digital devices, requesting laboratory tests or COVID-19 tests (e.g., nasal swab test, antibody tests, etc.; the delivery agent can consider actions such as the ordering of or registration of a user for laboratory tests (e.g., blood test, urine test, etc.), sending the user a disease testing kit to detect the disease).
Jain does not explicitly disclose:
one of i) the plurality of users visiting the medical institution, ii) a sample collector visiting a location where the plurality of users are located.
White teaches:
one of i) the plurality of users visiting the medical institution, ii) a sample collector visiting a location where the plurality of users are located (Paragraphs [0043]-[0044] discuss a test being administered may be performed at a medical facility or point of care, at a third-party testing location (the entrance to a person's place of employment, an educational facility, an entertainment venue, a testing kiosk, etc.), or the test could be performed at home or other private location by the person themself taking the test.).
Therefore, it would have been obvious to one of ordinary skill in the art to modify Jain to include, one of i) the plurality of users visiting the medical institution, ii) a sample collector visiting a location where the plurality of users are located, as taught by White, in order to provide safe access by user to venues based on valid, accurate, and verifiable test sample results,. (White Paragraph [0096]).
Claim 36 is rejected under 35 U.S.C. 103 as being unpatentable over Jain in view of White and in further view of Blanco (U.S. Pub. No. 2021/0174943 A1).
Regarding claim 36, Jain discloses wherein, in the sampling method information, iii) when the plurality of users directly collecting samples is selected, location information is received from each of the plurality of users and the received location information is set as a delivery location of a sampling kit (Paragraphs [0011] and [0322] discuss obtain location tracking data for users and causing an item to be delivered to the user, for example, a disease testing kit, a medical monitoring device, a laboratory test sample collection kit, an at-home laboratory testing kit, a medication, etc., the delivery agent may carry this out by communicating with an fulfillment system to initiate ordering and/or shipment of the items that it selects.).
Jain does not explicitly disclose:
i) when the plurality of users visiting the medical institution is selected, location information is received from each of the plurality of users and at least one of medical institution information adjacent to each of the received location information is provided to the plurality of corresponding users, ii) when the sample collector visiting the location where the plurality of users are located is selected, location information is received from each of the plurality of users and each of the received location information is provided to the sample collector.
Blanco teaches:
i) when the plurality of users visiting the medical institution is selected, location information is received from each of the plurality of users and at least one of medical institution information adjacent to each of the received location information is provided to the plurality of corresponding users, ii) when the sample collector visiting the location where the plurality of users are located is selected, location information is received from each of the plurality of users and each of the received location information is provided to the sample collector (Paragraphs [0011] discuss a entering type(s) of test(s) needed by a patient, determining a geolocation position of the patient, providing a list of POC facilities with available POC devices to the user based on the type(s) of test(s) needed and the geolocation position of the patient, based on the list of POC facilities with available POC devices, providing a map to the user showing physical locations of POC facilities with POC devices with availability for the type(s) of test(s) needed near the geolocation position of the patient, selecting one of the nearby POC devices from the list of POC facilities with available POC devices by touching the map location of the POC facility on the map and booking that POC device for the type(s) of test(s) needed at a particular time slot at that POC facility, and communicating the booking of the selected POC device to POC facility, wherein the selected POC device blocks that time slot from other users to select.).
Therefore, it would have been obvious to one of ordinary skill in the art to modify Jain to include, i) when the plurality of users visiting the medical institution is selected, location information is received from each of the plurality of users and at least one of medical institution information adjacent to each of the received location information is provided to the plurality of corresponding users, ii) when the sample collector visiting the location where the plurality of users are located is selected, location information is received from each of the plurality of users and each of the received location information is provided to the sample collector, as taught by Blanco, in order to allow a patient to find the nearest POC facility with a required and available POC device in order to have the required testing needed done. (Blanco Paragraph [0010]).
Claims 47 and 50-52 are rejected under 35 U.S.C. 103 as being unpatentable over Jain in view of Luthra (U.S. Pub. No. 2023/0298416 A1).
Regarding claim 47, Jain does not explicitly disclose wherein the at least one instruction executed by the processor further comprises generating return time point information when a previously positive user turns out the negative for the infectious disease test result and then to the community group.
Luthra teaches:
wherein the at least one instruction executed by the processor further comprises generating return time point information when a previously positive user turns out the negative for the infectious disease test result and then to the community group (Paragraphs [0030], [0041]-[0042], and [0054] discuss a processing platform structured to execute the instructions and a digital pass management system where the verifier is a workplace that desires to keep their employees safe, the verifier may require that the employees have a valid digital pass every day the employees enter the workplace, the digital pass expires after a certain period of time after being tested (e.g., 5 days, 7 days, 10 days, etc.), therefore, the employees may need to be tested multiple times and/or on a regular basis, the verifier organization can send the reports to a local, state, or federal government agency (e.g., the Center for Disease Control (CDC)), another business, another verifier organization, and/or any other entity (e.g., a parent-teacher association).).
Therefore, it would have been obvious to one of ordinary skill in the art to modify Jain to include, wherein the at least one instruction executed by the processor further comprises generating return time point information when a previously positive user turns out the negative for the infectious disease test result and then to the community group, as taught by Luthra, in order to enable testers to administer tests and record results efficiently, manage throughput of employees in a reasonable fashion, and maintain the safety of employees awaiting testing and results. (Luthra Paragraph [0042]).
Regarding claim 50, Jain discloses wherein the at least one instruction executed by the processor further comprises providing, to the health manager, when the test results and/or the integrated test results for the plurality of users belonging to the community group are not less than a threshold value (Paragraphs [0064], [0104]-[0108], and [0161] discuss instructions that when executed by data processing apparatus, identifying locations in community that have a corresponding disease transmission score that satisfies a threshold; and generating data that designates the identified locations as regions of elevated potential for disease transmission, comparing the output with a threshold.).
Jain does not explicitly disclose:
wherein the at least one instruction executed by the processor further comprises providing, to the health manager, a certificate for infectious disease management or safety for the community group.
Luthra teaches:
wherein the at least one instruction executed by the processor further comprises providing, to the health manager, a certificate for infectious disease management or safety for the community group (Paragraphs [0037], [0197] discuss machine readable instruction executed by processor circuitry and a processing platform structured to execute the instructions and systems, methods, and articles of manufacture that enable entities or persons, referred to herein as verifiers, to verify whether a person has recently tested negative for an infectious disease (e.g., a pathogen, a virus, a bacteria, etc.) before granting the person access to a particular location or area, verifiers may include airlines, offices, malls, libraries, sporting arenas, schools, theatres, retailers, utilities, employers, governments, facility managers, and/or any other entity or person that desires to control access to a particular location and a user, may be tested for a particular infectious disease. If the results are negative, a digital pass (which may also be referred to as an electronic pass, a digital health pass, an electronic health pass, a health pass, a digital health card, an electronic health card, or a health card) is generated that can be stored on the user’s electronic device, such as, for example, his/her smartphone, smartwatch, etc.).
Therefore, it would have been obvious to one of ordinary skill in the art to modify Jain to include, wherein the at least one instruction executed by the processor further comprises providing, to the health manager, a certificate for infectious disease management or safety for the community group, as taught by Luthra, in order to enable testers to administer tests and record results efficiently, manage throughput of employees in a reasonable fashion, and maintain the safety of employees awaiting testing and results. (Luthra Paragraph [0042]).
Regarding claim 51, Jain discloses wherein the at least one instruction executed by the processor further comprises displaying the data on a digital map provided by the computing apparatus using a location information on the community group (Paragraphs [0161], [0264], [0302], and FIGS. 15A-15C discuss instructions that when executed by data processing apparatus show examples of associating disease risks with locations, community level data, combined with map data describing regions, the community disease measures can include values quantifying cases of a disease, hospitalizations for the disease, deaths from the disease, rates or percentages of positive and negative tests for the disease, etc.).
Jain does not explicitly disclose:
displaying the generated certificate on a digital map provided by the computing apparatus using a location information on the community group.
Luthra teaches:
displaying the generated certificate on a digital map provided by the computing apparatus using a location information on the community group (Paragraphs [0037], [0197] discuss machine readable instruction executed by processor circuitry and a processing platform structured to execute the instructions and systems, methods, and articles of manufacture that enable entities or persons, referred to herein as verifiers, to verify whether a person has recently tested negative for an infectious disease (e.g., a pathogen, a virus, a bacteria, etc.), if the results are negative, a digital pass (which may also be referred to as an electronic pass, a digital health pass, an electronic health pass, a health pass, a digital health card, an electronic health card, or a health card) is generated that can be stored on the user’s electronic device, such as, for example, his/her smartphone, smartwatch, etc.).
Therefore, it would have been obvious to one of ordinary skill in the art to modify Jain to include, displaying the generated certificate on a digital map provided by the computing apparatus using a location information on the community group, as taught by Luthra, in order to enable testers to administer tests and record results efficiently, manage throughput of employees in a reasonable fashion, and maintain the safety of employees awaiting testing and results. (Luthra Paragraph [0042]).
Regarding claim 52, Jain discloses wherein the at least one instruction executed by the processor further comprises providing, to an external computing apparatus, user data and the location information on the community group so that the user data is displayed on a digital map provided by the external computing apparatus (Paragraphs [0161], [0264], [0302], and FIGS. 15A-15C discuss instructions that when executed by data processing apparatus show examples of associating disease risks with locations, community level data, combined with map data describing regions, the community disease measures can include values quantifying cases of a disease, hospitalizations for the disease, deaths from the disease, rates or percentages of positive and negative tests for the disease, etc.).
Jain does not explicitly disclose:
a certificate information including the generated certificate and the location information on the community group so that the certificate is displayed on a digital map provided by the external computing apparatus.
Luthra teaches:
a certificate information including the generated certificate and the location information on the community group so that the certificate is displayed on a digital map provided by the external computing apparatus (Paragraphs [0037], [0197] discuss machine readable instruction executed by processor circuitry and a processing platform structured to execute the instructions and systems, methods, and articles of manufacture that enable entities or persons, referred to herein as verifiers, to verify whether a person has recently tested negative for an infectious disease (e.g., a pathogen, a virus, a bacteria, etc.), if the results are negative, a digital pass (which may also be referred to as an electronic pass, a digital health pass, an electronic health pass, a health pass, a digital health card, an electronic health card, or a health card) is generated that can be stored on the user’s electronic device, such as, for example, his/her smartphone, smartwatch, etc.).
Therefore, it would have been obvious to one of ordinary skill in the art to modify Jain to include, a certificate information including the generated certificate and the location information on the community group so that the certificate is displayed on a digital map provided by the external computing apparatus, as taught by Luthra, in order to enable testers to administer tests and record results efficiently, manage throughput of employees in a reasonable fashion, and maintain the safety of employees awaiting testing and results. (Luthra Paragraph [0042]).
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to DAWN TRINAH HAYNES whose telephone number is (571)270-5994. The examiner can normally be reached M-F 7:30-5:15PM.
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/DAWN T. HAYNES/
Art Unit 3686
/RACHELLE L REICHERT/Primary Examiner, Art Unit 3686