Invented by Scott Newton, Jason Spector, Teletracking Technologies Inc
The Teletracking Technologies Inc invention works as followsDisclosed embodiments include methods, systems, and media that allow for the transmission and reception of digital data via a variety of channels. One or more networks may be used to receive data from multiple sources. Some embodiments include a method of assigning a geographical area to data from multiple sources. This geographic area corresponds to one or more locations that are associated with the data. Disclosed embodiments can also include determining the health effects of a predetermined place based on data and associated geographical locations. The disclosed embodiments can also include the generation, through querying a predetermined database, of instructions that address the health effects for the predetermined place, the instructions including an act and an associated device. The disclosed embodiments can also include the transmission to the associated device of the instructions.
Background for Systems and Methods for Real-Time Transmission of Digital Data Using a Variety of Channels
Current computing systems might have limited data sources. Some institutional computing systems, for example, may have a limited number of data sources through which they can transmit, receive, or process data. Systems may need a particular portal to access data. This may be required in order to make it usable by business systems. Electronic records can be restricted in other contexts such as healthcare. Information may only be received through one data entry point.
Disclosed embodiments include methods, systems, and media that allow for the transmission and reception of digital data via a variety of channels. One or more networks may be used to receive data from multiple sources. Some embodiments include a method of assigning a geographical area to data from multiple sources. This geographic area corresponds to one or more locations that are associated with the data. Disclosed embodiments can also include determining the health effects of a predetermined place based on data and associated geographical locations. The disclosed embodiments can also include the generation, through querying a predetermined database, of instructions that address the health effects for the predetermined place, the instructions including an act and an associated device. The disclosed embodiments can also include the transmission to the associated device of the instructions.
Consistently with other disclosed embodiments,” non-transitory computer-readable storage media can store program instructions. These are executed by one to more processors to execute any of the methods herein.
The following detailed description and the general description are only examples and explanatory and do not limit the claims.
Reference will now take place in detail to exemplary embodiments. Examples of these are shown in the accompanying drawings and disclosed herein. The same reference numbers will be used throughout drawings wherever possible to refer to similar or identical parts.
The channels by which existing computing systems receive and transmit data may be restricted. The number of devices that can generate and transmit data has increased. Systems that cannot receive, process and analyze data from other devices could result in systems operating on outdated or inaccurate information. The Internet-of-Things devices (IoT), for example, have increased in popularity and offer computing platforms additional data types, quality, or amounts. Systems that cannot receive and process this data might not be able take advantage of the extra useful information they provide.
This problem may affect certain applications of computing systems in different ways. A system that relies on a single wind measurement source for data may produce inaccurate readings. This is especially true in meteorological analysis. One system that receives pressure readings from multiple mobile phones or IoT devices can get more accurate readings. A system that is unable to receive and analyze IoT data directly from patients, their homes and healthcare facilities, may not be able to provide the best and most cost-effective care. Patients in non-emergency situations, for example, may call 911 or visit the Emergency Department at their hospital. These cases often lead to alternative venues that may be better suited for their medical needs, such as an urgent clinic or secondary care clinic. Current computing systems may not be able to direct patients to other venues. Patients are left believing that they have no choice but to seek emergency medical help. A lack of ability for emergency dispatching computing systems to direct all patients to the best care facility may also be a problem. Overcrowding in emergency rooms can lead to long wait times and strained resources, which can result in overwhelmed care providers and a lack of ability to direct patients to the most appropriate care venue. Traditional computing systems, which cannot access multiple data sources, can create an inaccurate patient load calculation system, leading to high costs for both patients and the health system.
These problems can be addressed by a system that intelligently collects information from multiple sources and uses a variety of channels. This system could use additional information channels to send control instructions through multiple channels. The computing system could guide patients to the best care venue, coordinate shipment of supplies to meet pre-emptive needs, manage community advisory delivery mechanisms (e.g. by creating targeted web ads), and connect them with healthcare providers. This computing system could coordinate healthcare operations across the entire enterprise or mobile devices of the population based on real-time surveillance of patient-specific and community-wide data.
Disclosed embodiments could include healthcare command centres. The cost, scope, and size of healthcare command centers can vary. These centers can reduce complexity and coordinate work efforts. They also enhance communication efficiency and effectiveness by providing continuous, contextual situational awareness and enabling proactive planning for current and future needs. These centralized and coordinated activities can provide value by concentrating computational resources and data. This allows disclosed embodiments to access new types and processes data more efficiently, and enables new computations. Patients can be cared for in a coordinated system across the care continuum. This saves resources that would otherwise be wasted on multiple incompatible and dissimilar computing platforms. Access to care can be quicker, the length of hospitalizations may be shorter, indirect and direct costs of care may be lower, and there may be a reduced chance of harm. The central operation can provide insight into resource usage, giving visibility to peak demand and under-use of highly valuable infrastructure, resources, and human capital. The centralized command center can assign scarce resources to urgent patient care needs and create a schedule for care.
Caregivers are experts in providing care for patients, supporting their families and planning for treatment. Clinicians are often overwhelmed by the burdens of providing care and the operational logistics of finding and deploying equipment. They also have to help patients get into the right care setting. This is in addition to providing a safe and enjoyable patient experience. Cognitive overload is a contributing factor to decreased function and safety events. A centralized command center in certain embodiments could allow healthcare providers to delegate operational aspects of providing healthcare to a central computing system that is managed by staff with expertise in healthcare operations. This centralized computing system can monitor and forecast the needs of patients and allocate resources in a coordinated manner to meet them.
The current healthcare environment is overwhelming staff and caregivers with constant streams of information. Identifying priority messages is becoming a greater challenge. The present disclosure reveals that predictive analytics can automate message prioritization. Identified messages may then be presented to caregivers or staff in simple, elegant notifications. Staff and caregivers may be able to identify the most valuable work quickly, so that they can complete it within the set of activities each shift. The network effect of completing high-value work first frees up beds and accelerates treatment times. It also reduces the waiting time for non-prioritized batched activity. Streamlining message prioritization, transmission and other functions may reduce the communication network load by reducing redundant or unnecessary communications.
Exemplary embodiments will be described using the accompanying drawings. Figures are not always drawn to scale. The reference number’s left-most digit (s) identifies which figure the reference number appears first. The same reference numbers can be used in the drawings for the same or similar parts. Although examples and features of disclosed principles have been described, modifications, adaptations and other implementations can be made without departing from their spirit and scope. The words “comprising” and “having”,? ?having,? ?containing,? ?Including,??????????????????????????????containing?????????????????????????????. Other similar forms and words are meant to have the same meanings and be open-ended in that any item or items after any of these words isn’t meant to be an exhaustive list of such items or be restricted to only the item or items listed. The singular forms?a? and?an? are used in this document as well as the claims. ?an,? ?an,? If the context is clear, plural references are allowed.
FIG. “FIG. FIG. 1. are not meant to limit the disclosed embodiments. The components and arrangements shown in FIG.
As illustrated in FIG. “As shown in FIG. System 100 components may communicate through network 150, local network 110, or a combination thereof. Some embodiments of local network 110, facility servers 130, administrator terminal 145 and user device 120 can be physically located within a facility, such as a hospital, office building, or medical facility (i.e. Facility system 102) and network 150, network server 160 or third party server 170. Database 180 can be outside the medical facility. System 100 may also include components that are well-known to those of ordinary skill in computer science to accomplish tasks in accordance with the disclosed embodiments. Facility system 102, for example, may contain one or more sensors such as sensors 147 that are placed throughout the facility to monitor conditions like temperature, humidity, proximity and other parameters that indicate a room’s status. Sensors 147 can be placed in one or more hospital areas as part of a security or real-time locating device. Sensors 147 may also include one or several wireless receivers (not illustrated) that can detect wireless sensors or locating tags to locate tagged items and/or people.
Computer terminal 140 can be used as a standalone device in an office, room, employee station or other central location within a workplace. Computer terminal 140 can be a laptop or desktop computer, a flat-panel or projected display, touch screen monitor or any other display. Computer terminal 140 can be associated with specific rooms in a facility such as a patient room, hotel room or conference room. A message or task request sent from computer terminal 140 can be automatically associated with the room where computer terminal 140 is located.
Administrator terminal 145 could include a computer system, device or system associated with a user (125), that oversees or manages a part of facility system 1012. Administrator terminal 145 could be a computer system that is located at a head nursing station, a homekeeping manager’s station or other department managers’ office. Administrator terminal 145 can be any type of computer terminal 145 that is designated to a specific user or group of users. It may also include all of the functions and any hardware described in relation to computer terminal.
User 125″ could be an employee working in a work environment, such as a doctor, nurse, technician, manager, support personnel or dispatcher. System 100 may be accessed by user 125 via computer terminal 140, 120 and/or an additional computer (not shown). Multiple types of users may be included in system 100, such as technicians, caregivers and task requestors. One or more task requestors can be individuals who request a specific task to be completed. For example, a nurse asking for a hospital bed. In some embodiments dispatchers can include people who perform one or more tasks related the assigning of requested tasks. Responders can include any number of individuals who are assigned to perform the requested tasks and then complete them.
User device 120″ could be a personal computing device, such as a general-purpose or notebook computer, a mobile device that has computing capability, such as a tablet, smartphone, or wearable device like Google Glass. Smart watches, and any combination of these computers or associated components. User device 120 could be any computer system or mobile device that user 125 uses. User device 120 can be associated with user 125 in some embodiments. This means that task assignments directed at user 125 are sent directly to mobile device 120.
In some embodiments, the user device 120 can communicate with facility server 130 or network server 160 via wireless communication links (not illustrated) or via a combination one or more local networks 110 and/or 150.
In some embodiments, one to more people such as patient 192 or member of the public196 can send and receive information from system 100. Patient 192 could operate patient device (190) in the above example. This device may have a similar form and function as user device 120. Patient 192 can provide information about location, symptoms, consumer purchase, ratings for satisfaction, indications of delay and any other relevant information to a patient’s diagnosis or treatment protocol.
Public member 196 can be any individual who is not an employee of the hospital, such as a primary care physician or a relative of a patient. Public member 196 can operate public member device 194, which could be similar in function and form to devices 190 or 120.Click here to view the patent on Google Patents.