WO2022079730A1 - Système et méthodologie de technologie d'intervention directe auprès des patients - Google Patents

Système et méthodologie de technologie d'intervention directe auprès des patients Download PDF

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Publication number
WO2022079730A1
WO2022079730A1 PCT/IN2021/050551 IN2021050551W WO2022079730A1 WO 2022079730 A1 WO2022079730 A1 WO 2022079730A1 IN 2021050551 W IN2021050551 W IN 2021050551W WO 2022079730 A1 WO2022079730 A1 WO 2022079730A1
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Prior art keywords
patient
intervention
readings
care
iot
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PCT/IN2021/050551
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English (en)
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Mukta ARORA
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Arora Mukta
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Publication of WO2022079730A1 publication Critical patent/WO2022079730A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Definitions

  • the present invention generally relates to the use of a technology that is meant for non-acute, non-emergency (Post OPD and Post IPD) clinical patient conditions.
  • the invention relates to the use of a mechanism to reach out to these patients to provide necessary interventions whenever their vital parameters are deranged; investigations are not within thresholds; medicines, exercise and health goals are not adhered to; and medical assessment identifies health issues/risks.
  • Inpatient Current healthcare industry comprises of two fundamental segments i.e. Inpatient and Outpatient.
  • a patient becomes an inpatient when he is having ailments like trauma/accidents, respiratory, cardiovascular, metabolic disturbances, life threatening conditions etc. and he requires overnight supervision in a hospital.
  • a patient becomes an outpatient when he does not feel well and his vitals are deranged, in conditions like fever, cold, cough, pain, high Blood Pressure, high Blood Sugar etc. but he does not require overnight supervision in a hospital.
  • non-acute, non-emergency phase is the longest phase and happens from patient’s home setting, the patient journey becomes erratic and non-continuous, thus impacting patient experience negatively.
  • An object of the present invention is to provide a right mechanism for the healthcare industry to reach out to patients and manage their condition.
  • POD Patient Outreach Department
  • the invention relates to a Patient Outreach mechanism for the healthcare industry to reach out to patients and manage their condition. It provides for a technology called Patient Outreach Intervention Technology (POINT) which is meant for non- acute, non-emergency clinical patient conditions. It provides a real time intervention mechanism to control physiological conditions of a patient for every unfavorable spike (high value) or trough (low value) across DIMENSIONS including but not limited to Biological Parameters, Symptoms, Diagnostic Investigations, Prescription Medication, Prescription Exercise, Patient Health Goals and Medical Assessment.
  • POINT Patient Outreach Intervention Technology
  • An aspect of the present invention is to provide a system for patient outreach intervention for non-acute, non-emergency clinical care.
  • the present invention makes use of IOT and non IOT medical devices and mobile app to take recordings of the patient’s vital parameters, symptoms, investigations, medicines, exercises, health goals, physician assessment and transmits the data on the cloud.
  • the present invention connects the health care team with the patient via SaaS cloud platform.
  • the present invention has an intervention mechanism that generates alerts after each and every recording is recorded high or low as per the standard values. The care team comes into action after every alert generated by the intervention mechanism and provides care to the patient for better and faster recovery.
  • the invention discloses a system for patient outreach mechanism which comprises one or more IOT and non IOT medical devices connected over internet, to at least one mobile application, the mobile application is configured to sync the readings of the patient recorded by the IOT and non IOT medical devices and transmit the readings over a SaaS cloud platform, wherein readings are processed by the rule engine to generate an alert for a care team to take necessary actions for patient’s treatment.
  • the data analytics analyses patient data to provide trends and insights in various graphs, regarding patient physiological parameters, medicines, exercise, investigations, goals, assessment, engagement, compliance and satisfaction.
  • the system records real time readings from the patients’ home setting and the system stores the previous readings and historical data of the patient.
  • the system comprises an intervention mechanism configured to control physiological conditions of the patients for every unfavourable spike or trough.
  • the invention discloses a method for patient outreach mechanism, said method comprises the steps of connecting one or more IOT and non IOT devices connected over internet to one or more mobile application, syncing, by the mobile application, readings recorded by the IOT and non IOT medical devices and transmitting the readings over the SaaS cloud platform wherein the readings are processed by a rule engine, for generating an alert for a care team for taking necessary actions for patient’s treatment. Further, the patient data is analysed to provide trends and insights in various graphs, regarding patient physiological parameters, medicines, exercise, investigations, goals, assessment, engagement, compliance and satisfaction.
  • the IOT and non IOT medical devices takes the readings of biological parameters that are not limited to BP, BG, Pulse, Temp, SPO2, ECG, Weight and the readings are transmitted to the mobile app.
  • the mobile app receives a Medication taken input, an Exercise performed input, plurality of Investigations undertaken input, plurality of goals achieved input and an Medical Assessment performed input.
  • the readings and input values from the mobile app are received by the system and are further checked by the system rule engine and the care team.
  • the rule engine determines the values that are not within the threshold limit and does further processing on based on these values to assign priority from 1, 2 or 3.
  • the priority 1 is assigned to SOS(very high/very low) values; 2 is assigned to interventions caused during medical assessment and 3 is given to all others.
  • the Rule engine further assigns severity from 1, 2 or 3 based on the recordings recorded in which 1 is assigned to those high or low values that show up once in last one week; 2 is assigned to those that show up twice in last one week and 3 is assigned to those that show up thrice in last one week.
  • Figure 1 Illustrates the method and system of the present invention at ahigh level.
  • Figure 2 Illustrates the method and system of patient outreach intervention technology, according to one of the embodiments of the present invention.
  • Figure 3 Illustrates the business logic/method of POD/Command Center, according to one of the embodiments of the present invention.
  • Care Priorities that are established when a patient is onboarded or taken in.
  • Care priorities include but are not limited to, details regarding - Demographics, Contacts, Insurance, Care givers, Family, Consent, History, Diagnosis, Regimes, Thresholds, Plan, Subscription and Devices.
  • Rule engine establishes various intervention limits for every patient, once the care priorities are set.
  • Care management includes but is not limited to, details regarding - Intervention, Goals, Medicines, Exercise, Parameters, Investigations, Medical Assessments and Care Transition. Rule engine keeps track of every transaction the patient makes.
  • Care Engagement includes but is not limited to, details regarding - Notifications, Patient Messages, Patient shared reports, Call back requests, Patient referrals and Feedback
  • Care Experience includes but is not limited to, details regarding - Engagement Rate in %, Compliance Rate in % and Satisfaction Rate in %. Specific algorithms calculate these rates.
  • Care Knowledge includes but is not limited to, relevant feeds from public sources - WebMD, Mayo clinic and Cleveland clinic.
  • 114 It refers to Workbench, the dashboard, for every role. Workbench displays analytics including but not limited to - Blood Pressure (within and out of range), Blood Sugar (within and out of range), Temperature (within and out of range), SPO2 (within and out of range), Weight (within and out of range), HbAlC Stratification, Heat Map - BP, Heat Map - BG, Heat Map - Temp, Heat Map - SPO2, Interventions Monthly Trend, Intervention Daily Trend, Top 10 Prescribed Medicines, New Vs Existing Patients, Active Vs Inactive Patients, Callback Monthly Trend, Patient Referral Monthly Trend, Patient Messages Monthly Trend
  • POD/Command Center includes but is not limited to functionality for Patient Intervention and Intervention Actions across various dimensions. The details regarding these functionalities are explained with the help of Figure 2, below.
  • Pulse implements patient communities. There are various discussion zones where patients can find other patients like them to converse with, share experience and get reviews on various relevant topics.
  • the IOT/NON-IOT device(s) send the readings to mobile app.
  • Mobile app receives the biological parameters readings from the device.
  • the mobile app receives the Medication taken input.
  • the mobile app receives the Exercise performed input.
  • the mobile app receives the goals achieved input.
  • 208 It refers to the Medical Assessment.
  • the mobile app receives the Medical Assessment performed input.
  • Rule engine determines the values that are not within the threshold limit. It does further processing on these values. Rule engine assigns Priority from 1,2 or 3. 1 is assigned to SOS(very high/very low) values; 2 is assigned to interventions caused during medical assessment and 3 is given to all others.
  • Rule engine further assigns Severity from 1, 2 or 3. 1 is assigned to those high or low values that show up once in last one week; 2 is assigned to those that show up twice in last one week and 3 is assigned to those that show up thrice in last one week.
  • Rule Engine further assigns SLAs to values with assigned severity.
  • SLAs are specific to individual tenant hospital/clinic/physician. SLAs are defined at the dimension level. For each dimension, healthcare tenant can provide its respective SLA.
  • System further computes compliance of every individual patient against prescribed program of his readings/values intake.
  • Intervention acknowledgement include but not limited to actions of - Audio Call and Video call. System decides this, based on an algorithm of severity and priority.
  • Intervention closure actions include but not limited to - OP Visit, Lab Visit, Prescription Refill, Send nurse, Device change.
  • 220 System creates Medical Record for all readings, both within the threshold and outside of threshold.
  • SaaS Cloud Platform The term SaaS cloud platform is defined as the ability to host and deliver software as a service from a remote location that can be freely accessed and used anywhere via Internet access. Instead of installing and maintaining software, customers simply access it via the Internet, freeing from complex software and hardware management.
  • SaaS applications are also called Web-based software, on-demand software, or hosted software.
  • Data Analytics The term analytics is defined as the systematic computational analysis of data or statistics. In the context of present invention, the Analytics refer to built-in Data Analytics. Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decisionmaking.
  • Rule Engine The term rule engine is defined as a piece of software that executes rules according to some algorithm. A rule engine combines a set of facts that are inserted in to the system with its own Rule Set to reach a conclusion of triggering one or several actions. In the context of present invention, the Rule Engine refers to built-in Rule engine
  • Al Engine The term Al engine is defined as a tool that helps build an artificially intelligent system. These tools help to reiterate tasks that are repetitive and often difficult to achieve by a human.
  • lOT/Non IOT Medical Devices lOT/Non IOT are devices for making remote monitoring in the healthcare industry possible. These devices are connected over internet through various protocols. Connected devices like blood pressure, heart rate monitoring and glucometer etc. give patients access to personalized readings. With these devices’ readings, physicians can keep track of patients’ health more effectively. IOT enable healthcare professionals to be more watchful and connect with the patients proactively. Data collected from IOT devices can help physicians identify the best treatment for patients to reach the expected outcomes.
  • Patient at the center/Patient Centricity “Patient at the center” care is the practice of caring for patients (and their families) in ways that are meaningful and valuable to the individual patient for -
  • Command center is an entity that provides centralized monitoring, control and command for tasks that originate from warnings and alerts and closed by taking actions in a predefined manner. Command center brings all stakeholders together and provides for right action by right team at the right time.
  • Dimensions is the “scope” of various readings/values that are measured and monitored by present invention.
  • the six dimensions in the present invention are - Vital Parameters, Investigations, Medicines, Exercise, Health Goals and Medical Assessment.
  • Care Priorities refer to priorities that align the healthcare decision-making and care by all physicians for a patient. For every patient, Care priorities include details regarding - demographics, Contact, Insurance, Careteam, Consent, History, Diagnosis, Regimen, Thresholds, Devices and Subscription.
  • Care management is a set of activities intended to improve patient care and enhance coordination of care, eliminate duplication, and help patients and careteam more effectively manage health conditions.
  • Care management include details regarding - Intervention listing, Parameters Listing, Investigation Listing, Goals Listing, Medicines Listing, Exercise Listing, Medical Assessment Listing.
  • Care Engagement is a partnership between patients and the physicians with whom they interact. Physicians engage and communicate with patients in their care, and patients share in making decisions and managing their conditions. Care Engagement includes details regarding - Patient Notifications, Messages, Shared reports, Call back requests, Referals, and Feedback
  • Care Experience includes several aspects of health care delivery that patients value highly when they seek and receive care. Care Experience includes - Program compliance rate (in %age), Patient Experience rate (in %age), Patient Satisfaction rate (in %age).
  • Care knowledge refers to knowledge that a physician may need to reference from public sources regarding similar patient cases.
  • the public sources included are - WebMD, Mayo Clinic and Cleveland clinic.
  • 360° Case management Healthcare Ecosystem brings all the aspects of care together by connecting various stakeholders, generating appropriate information for every stakeholder, and leading to better care and better research.
  • the 360° Case management Healthcare Ecosystem provides a platform for care priorities, care management, care engagement, care experience, care knowledge, and patient centricity.
  • 360° case management provides increased baseline of information about patients, evidence based care delivery, outcomes, research study results, adverse events, disease surveillance, and population health that will result in better care, and better and faster research.
  • the Care Team Model includes a model of team of individuals, command center and technology to provide care for patients by creating a holistic closed-loop team solution for health management of non-acute, nonemergency clinical conditions.
  • the model involves a care team comprising of physician, nurse, care officer, call center, command centre, patient and family.
  • the model is built on the principle that each team member plays an important role based on his/her level of training and access allowing the physician, nurse and care officer to manage individual patient conditions and provide 360° case management.
  • the team is enabled by a command center to automatically and remotely reach out to patient(s) and advise/provide treatment, on their condition.
  • the team is connected using technologies that provides interventions, shares data, provides knowledge and alerts team members when an event (that is relevant and important to them) occurs.
  • Doctor/Physician In this new care team model, Physician plays a lead role of coordinator, developer of the care plan and provider of care. Other team members including nurses, care officers, call center assistants and medical assistants execute the plan.
  • Patient and Family The patient and family are active members of the Care Team. For this all-encompassing team approach to be successful, Patient and family stay connected with IOT, Non IOT devices and mobile apps so information, problems, questions and progress can be tracked and shared with all. Patients and family are sent alerts, reminders and information whenever an Intervention event occurs.
  • Technology also works as a member of the Care Team and supports in completing care tasks without human intervention.
  • the technology comprises of a solution that encompasses suite of health apps, medical devices, SaaS cloud platform, Rule engine, Al engine and social media.
  • the present invention discloses a Patient Outreach mechanism for the healthcare industry to reach out to patients and manage their condition. It provides for a technology called Patient Outreach Intervention Technology (POINT) which is meant for non-acute, non-emergency clinical patient conditions. It relates to a real time intervention mechanism to control physiological conditions of a patient for every unfavourable spike; (high value) or trough (low value) across DIMENSIONS including but not limited to biological parameters, symptoms, diagnostic investigations, prescription medication, prescription exercise, patient health goals and medical assessment.
  • POINT Patient Outreach Intervention Technology
  • the present invention provides a technological advantage to healthcare organizations to deliver real “Patient-Centric” care by its feature packed SaaS cloud platform.
  • the invention is directed to a system for patient outreach intervention for non-acute, non-emergency clinical care. It makes use of IOT and non IOT medical devices and mobile app to take recordings of the patient’s vital parameters, symptoms, investigations, medicines, exercises, health goals, physician assessment and transmits the data on the cloud.
  • the invention connects the health care team with the patient via SaaS cloud platform and has an intervention mechanism that generates alerts after each and every recording is recorded high or low as per the standard values. The care team comes into action after every alert generated by the intervention mechanism for taking needful steps.
  • the present invention makes use of IOT and non IOT medical devices, mobile Apps, SaaS Cloud Platform, Analytics, Rule Engine, Al Engine and Social media.
  • the system comprises of patient at the center, command center, 360° case management healthcare ecosystem, care team model, physician, Patient & Family and technology.
  • the present invention brings patients’ non-acute non-emergency clinical conditions under close supervision through availability of patients’ healthcare information, Care Team Model, 360° case management and Command Centre based support system. Further, such patients can be managed on a daily basis using the system that encourages and monitors progress.
  • Present invention spawns a new department called PATIENT OUTREACH DEPARTMENT - POD in a hospital/clinic/physician practice that provides centralized monitoring, control and command for non-acute, non-emergency patient conditions across various DIMENSIONS. Its tasks are achieved by the COMMAND CENTER by monitoring the Intervention alerts and taking action(s) on them.
  • the Intervention alerts originate from patients home setting, from readings and inputs from IOT and non IOT devices and mobile app(s). Intervention alerts range from low/high to SOS(very low/very high), and are handled by using specific pathways.
  • the Command Center ensures right care team receives information of right patient group/population at the right time. From managing patients’ real-time Intervention alerts as they come in and assigning them to right care officers, to closing Interventions based on patient condition and determining exceptions; command center works as the backbone to deliver care for non-acute, non-emergency patients and increases hospital/clinic/physicians’ capacity to handle large group(s) of patients.
  • the invention allows care to be delivered anywhere to the patient and physician are, optimizing healthcare resources and the patient’s health experience.
  • the care team provides responsive, cost-effective, high-quality and 24X7 care with improved health outcomes by being with the patient every step of the way.
  • the system brings a non-acute non-emergency care model, where patients’ complete information will be available and accessible from their home setting to be able to provide them with necessary care during their longest phase of care journey.
  • the ecosystem created by the invention is an environment in which data is shared among the care team members; anywhere they may be located, allowing them to make the best diagnostic and treatment decisions.
  • the patients are enrolled in the system of the present invention; their care plan is created on the system, by care provider team.
  • the Care plan is based on existing health conditions, behavioral parameters, history and genetic propensity. Every patient has a customized care plan based on his individual parameters and thresholds. Every patient is recommended/provided lOT/Non-IOT devices as per care plan.
  • Patients are continuously monitored by command center and their dedicated care team who are empowered by real time indicators and enabled by real time intervention opportunities.
  • Care provider team has access to powerful Intervention Matrix and Analytics to manage their patients by following up with them at every breach in their thresholds or non-compliance of their program.
  • SaaS Cloud platform provides 24X7 monitoring, patient engagement via many channels and powerful analytics. Platform provides view(s) to non-acute, non-emergency care outcomes. Apart from more accurate monitoring, such an approach also ensures that nothing is missed in terms of patient’s data: everything is recorded and stored in the database as medical records, which can later be shared across all doctors who are involved in the treatment.
  • the invention provides a SaaS cloud platform that creates virtual pool of information, where stakeholders are both contributors and extractors of information.
  • the platform works as a network of networks, collaborates different data sources and scales large patient populations. Patients, doctors, insurers, government and researchers will all make better decisions in healthcare with better information. In addition, these valuable resources will support collaborative research among care providers, life sciences companies and researchers to solve the toughest health problems.
  • the invention comprises of one or more IOT and non IOT medical devices connected over internet, to at least one mobile application.
  • the mobile application is configured to sync the readings of the patient recorded by the IOT and non IOT medical devices and transmit the readings over a SaaS cloud platform wherein an analytics configured to analyze the readings shared over the SaaS cloud platform and the data analyzed by the analytics is further processed by a rule engine to generate an alert for a care team to take necessary actions for patient’s treatment.
  • the system records real time readings from the patients’ home setting and the system also stores the previous readings and historical data of the patient.
  • the care team model of the invention comprises of doctor, care officer, nurse, call center and command center.
  • the care team can monitor the patient’s readings from a remote location.
  • the invention also comprises of an intervention mechanism configured to control physiological conditions of the patients for every unfavourable spike or trough.
  • the IOT and non IOT medical devices takes the readings of biological parameters that are not limited to BP, BG, Pulse, Temp, SPO2, ECG, Weight and the readings are transmitted to the mobile app.
  • the mobile app receives a Medication taken input, an Exercise performed input, plurality of Investigations undertaken input, plurality of goals achieved input and an Medical Assessment performed input.
  • the readings and input values from the mobile app are received by the system and are further checked by the system rule engine and the care team.
  • the rule engine determines the values that are not within the threshold limit and does further processing on based on these values to assign priority from 1, 2 or 3. Priority 1 is assigned to SOS(very high/very low) values; 2 is assigned to interventions caused during medical assessment and 3 is given to all others.
  • the Rule engine further assigns severity from 1, 2 or 3 based on the recordings recorded in which 1 is assigned to those high or low values that show up once in last one week; 2 is assigned to those that show up twice in last one week and 3 is assigned to those that show up thrice in last one week.
  • the Rule engine further assigns SLAs to values with assigned severity.
  • the method further computes compliance of every individual patient against prescribed program of the patient’s readings/values intake.
  • the method displays interventions in Intervention Matrix and the care team acknowledges every intervention by taking acknowledgement action.
  • the intervention acknowledgement action includes but not limited to actions of audio call and video call and the method decides this, based on an algorithm of severity and priority.
  • the intervention acknowledgement action taken by the care team closes the intervention with intervention closure actions and the intervention closure actions include but not limited to OP visit, lab visit, prescription refill, nurse visit and device change.
  • the method also creates medical record for all readings, both within the threshold and outside threshold limit.
  • POINT is used for multiple non-acute, non-emergency conditions or diseases including but not limited to maternity care, Infertility, long term care, elderly care, metabolic syndrome(diabetes, hypertension, Obesity), post-operative care, cardiovascular.
  • POINT is used to manage intervention extremities including but not limited to:
  • hypotension Hypertension, Hypoglycemia, Hyperglycemia, Hypothermia, Hyperthermia, Bradycardia, Tachycardia, Hypoxemia, Hyperoxia, Overweight/Obese, Underweight,
  • POINT culminates into configurable and identifiable service lines and/or any desired or required actions including but not limited to outpatient visits, nurse on call, prescription refill, device replacement, diagnostic lab investigations.
  • POINT implements patients’ “personalized” workflow(s) by maintaining patient centricity across the service by Care Team roles including but not limited to admin, physician, care provider, nurse, care officer, call center, command center.
  • POINT is implementable across technologies including but not limited to mobile, web or API. POINT is implementable as cloud service (SaaS) or On-premise service. POINT is database agnostic. POINT is also cloud agnostic. POINT implements a separate mobile app for every customer.
  • POINT’S B2B architecture is scalable to accommodate personalized mobile and web apps and functionality for every individual customer.
  • POINT’S functional implementation includes but is not limited to command center, remote monitoring and telemedicine.
  • POINT’S implementation features include but are not limited to:
  • POINT intervention mechanism includes but is not limited to in-app notification, video conference, audio call, SMS, Chat, WhatsApp, email.
  • POINT implements powerful analytics on data aggregated across its dimensions to provide patterns and views including but not limited to population set, individual patient, intervention dimensions and/or any other granular attributes for any desired or required action. POINT considers Al algorithms to predict patient and population outcomes possibilities.
  • POINT’S pricing models include but not limited to pay-as-you-go, license, revenue share, tiered service models.
  • the present invention follows a framework of dimensions, interventions, Closure action, acknowledgement action, severity, priority, compliance actions, SLAs for identifying and serving every intervention.
  • POINT aggregates data real time and/or historic from various sources including but not limited to connected/non-connected devices, Bluetooth/RS232/GSM devices, mobile/web apps, APIs.
  • POINT access mechanism considers role based access for roles including but not limited to admin, sub-admin, care provider, nurse, care officer, call center, command center. POINT also implements patient consent form(s) to provide appropriate access to patient data to relevant stakeholders. POINT - Data Privacy
  • POINT provides data security and data stewardship around prescribed global health care standards enabling any global or local compliance including but not limited to HL7/FHIR, PHI and HIPP A, MoHFW(India), MOHAP(Dubai), PHI Act(UK).
  • POINT encapsulates intervention data from biological parameters, symptoms, diagnostic investigations, prescription medication, prescription exercises, patient health goals, medical assessment as dimensional data.
  • Type - Describes various vital parameters. It includes but is not limited to:
  • Range - Describes maxima and minima of value of each vital parameter. It includes but is not limited to:
  • Frequency - Describes the time when the reading is required for every vital parameter. It includes but is not limited to: Morning, Afternoon, Evening
  • Input - Describes the way the readings of every parameter is gathered by the system.
  • Threshold Range Describes the range, the reading of every parameter will fall in. It includes but is not limited to:
  • Intervention Range - includes but is not limited to Lower or higher than industry recommended range
  • Diagnostic investigations data attributes include but are not limited to Report Type, Frequency, Threshold Range, Intervention Range.
  • Report Type - Describes the type of Investigation. It includes but is not limited to:
  • Frequency - Describes the timeframe during which the investigation needs to be undertaken by a patient. It includes but is not limited to:
  • Threshold Range - includes but is not limited to:
  • Intervention Range - includes but is not limited to:
  • Prescription Medications data attributes include but are not limited to Medicine, Frequency, Dose, Period, Intervention.
  • Medicine Describes medicines prescribed to the patient. It includes but is not limited to:
  • Frequency - Describes the time, when the medicines to be take n. Itincludes but is not limited to:
  • Dose - Describes the quantity of medicine to be taken. It includes but is not limited to:
  • Period - Describes the duration for a medicine. It includes but is not limited to:
  • Intervention - includes but is not limited to:
  • Prescription Exercises data attributes include but are not limited to Exercise, Frequency, Duration, Period, Intervention.
  • Exercise - Describes the type of exercise prescribes to a patient. It includes but is not limited to:
  • Frequency - Describes the number of times the exercise has to be undertaken It includes but is not limited to:
  • Duration - Describes the timeframe of exercise. It includes but is not limited to:
  • Intervention - includes but is not limited to:
  • Goals include but are not limited to Goals, Frequency, Period, Intervention. Goals - Describe patient health goals. Goals data attributes includes but is not limited to:
  • Frequency - includes but is not limited to:
  • Period - includes but is not limited to:
  • Intervention - includes but is not limited to:
  • Medical Assessments data attributes include but are not limited to Assessment Type, Frequency, Assessment Notes, Intervention.
  • Assessment Type - Describes doctors assessment based on readings trend of a vital parameter. It includes but is not limited to:
  • Frequency - Describes the duration within which the doctor assesses a patient . It includes but is not limited to:
  • doctor notes on a patient condition, whenever he assesses a patient. It includes but is not limited to:
  • Intervention - includes but is not limited to:
  • POINT generates actionable intervention matrix for command centre to perform intervention tasks.
  • the native format for such output is as under: POINT output data attributes include but are not limited to Patient ID, Dimension, Attributes, Intervention Range, Value, Severity, Status, Actions.
  • Patient ID - includes but is not limited to:
  • Attributes - includes but is not limited to -
  • Intervention range - includes but is not limited to:
  • Value - includes but is not limited to:
  • Severity - includes but is not limited to:
  • SLA - includes but is not limited to:
  • Ack Actions - includes but is not limited to:
  • Closure Actions - includes but is not limited to:

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Medical Informatics (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Technology Law (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Pathology (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

La présente invention concerne l'utilisation d'un mécanisme permettant de venir en aide aux patients pour leur fournir les interventions nécessaires pendant des états de patient cliniques non graves et non urgents. Elle rend l'industrie des soins de santé centrée sur le patient. La présente invention utilise des dispositifs médicaux de l'Internet des objets (IdO) et non de l'IdO, des investigations, des médicaments, des exercices, des objectifs de santé, une évaluation de médecin qui prend des enregistrements des patients et transmet les données sur le nuage. L'invention connecte l'équipe de soins de santé avec le patient par l'intermédiaire d'une plateforme en nuage SaaS et comporte un mécanisme d'intervention qui génère des alertes après chaque enregistrement enregistré élevé ou faible conformément aux valeurs standard. L'équipe de soins entre en action après chaque alerte générée par le mécanisme d'intervention et fournit des soins au patient pour un rétablissement meilleur et plus rapide.
PCT/IN2021/050551 2020-10-14 2021-06-07 Système et méthodologie de technologie d'intervention directe auprès des patients WO2022079730A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014197402A1 (fr) * 2013-06-04 2014-12-11 Proteus Digital Health, Inc. Système, appareil et procédés de collecte de données et d'évaluation de résultats
US20170076057A1 (en) * 2014-03-06 2017-03-16 David Burton Mobile data management system
US20170228516A1 (en) * 2012-09-20 2017-08-10 Masimo Corporation Intelligent medical escalation process

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170228516A1 (en) * 2012-09-20 2017-08-10 Masimo Corporation Intelligent medical escalation process
WO2014197402A1 (fr) * 2013-06-04 2014-12-11 Proteus Digital Health, Inc. Système, appareil et procédés de collecte de données et d'évaluation de résultats
US20170076057A1 (en) * 2014-03-06 2017-03-16 David Burton Mobile data management system

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