TensorMark’s Healthcare Impact

Initially, when you hear of facial recognition, in the healthcare space, you may think it’s another form of hospital security. With TensorMark’s Technology Platform®, there’s more than just facial recognition for surveillance. In healthcare, the need is much greater, TensorMark leverages its artificial intelligence (AI) and computer vision (CV) platform to include facial, object and text recognition while providing valuable actionable and quantifiable data analytics to meet evolving healthcare standards.

The physical safety of patients, visitors, employees as well as the safety of a healthcare facility is a highly critical function. Applying TensorMark’s Technology Platform, on top of the existing surveillance infrastructure, will make the surveillance system smart by increasing the security, situational awareness and operational efficiency of the healthcare facility. TensorMark’s Technology Platform leverages actionable intelligence to drive safety and crime prevention, operational performance as well as optimize the traffic flow of individuals.

There are a multitude of various integral use cases within healthcare facilities that include, but are not limited to the following:

  • Black List / VIP List
  • Personnel Identification
  • Patient Insurance Fraud Detection
  • Optimize Operational Efficiency
  • Physical Access Control
  • Situational Awareness
  • High Touch Areas for Cleaning
  • Contact Tracing
  • Secure Controlled Substance Areas
  • Behavior / Mood Detection
  • Patient Preferences
  • Personnel Time Clock Management
  • Exterior Traffic Bottlenecks
  • Healthcare Staff Fatigue
  • Increase Patient/Visitor Personnel Safety and Security
  • Patient Identification (Emergency . Non-Emergency)
  • Prescription Fraud Detection / Fake ID’s
  • Optimize Floor Traffic / Patterns (visitor / employee)
  • Mitigate False Liability/Workers Comp Claims
  • Ensure Patient / Visitor Personnel Safety
  • Crime Prevention
  • Heat Mapping
  • Access Control (Secure / Non-Secure Areas)
  • Dual Factor Authentication
  • Demographic Tracing (Gender / Age)
  • Patient Marketing Based on Demographics
  • Procedure and Regulatory Compliance

Patient Identification (Emergency / Non-Emergency)

In healthcare, medical errors have costly consequences if a patient is not properly identified especially in crisis situations. This can potentially lead to patient misdiagnosis or even an incorrect course of therapy. It is crucial patients are treated with the proper course of treatment, based on the information available to the healthcare provider. This information includes accurate patient identification which has become imperative in light of the rapid digitalization that exists. Healthcare systems have been working towards coordinating various information systems and applications to access or integrate across the entire organization providing the seamless portability of patient information with the goal of optimizing patient encounter. This interoperability has put the patient’s safety at risk because of the potential for errors and can also artificially inflate healthcare costs. In instances of emergencies, when a patient has no identification and is unconscious, it’s even more critical to properly identify a patient so that proper treatment can be effectuated. Without proper identification, there is an increased risk of liability as well as patient errors.

TensorMark’s Technology Platform can also be utilized to search for missing patients within facility as well as at egress points to notify security/police. In addition to this, the technology can search for all types of staff members, vendors or other individuals if those individuals need to be located.

Healthcare facilities can also create watchlists for patients who are at-fall risks, have dementia, Alzheimer’s disease, autism and other high-risk conditions and utilize the alerts function if they wander out of their room or certain areas or locate them if they are lost within a facility which also helps to mitigate further injury and other liabilities.

In addition to this, facial recognition can be utilized as a secondary source of identification if a patient has an RFID bracelet that gets lost or is damaged or if a patient is either incoherent or unconscious state when being admitted, facial recognition can be utilized. TensorMark’s Technology Platform can be utilized to assist and safeguard against improper patient identification.

Security / Blacklist

The safety and security of a healthcare facility is of utmost concern to the facility, patients, as well as staff. Healthcare facilities have security guards and security stations where security is 100% based upon humans and prone to human error. When you add AI and computer vision to existing surveillance systems the technology can scan all areas of the hospital to identify and flag individuals, to include patients, visitors, and past employees who may have previously been removed or asked to leave a hospital. In addition to this, the technology can be utilized to identify individuals who don’t belong in certain areas. Where it is allowed, you can also upload certain databases such as criminal offenders as well as sexual predators.

VIP / Whitelist

TensorMark’s technology platform can also be utilized to identify VIP patients, staff and executives. There are many different types of employees that work in a healthcare environment to include physicians, therapists, nurses, trustees, administrative staff, security, and the janitorial staff to name a few. It is virtually impossible for an individual to know all doctors, all patients and staff. TensorMark’s facial recognition can identify VIP’s so that staff can be aware of who they are whether it’s a new doctor who has a VIP in their office or a security guard that has a world-renowned surgeon pass by his/her station, TensorMark’s facial recognition will allow for a very personal experience on all levels.

Automating Patient / Prescription and Insurance Fraud Detection

Drugs and drug addiction have grown in epic proportion with the recent opioid crisis which has caused addicted individuals to seek treatment for intentionally inflicted injuries so the patient can receive a script for narcotics or claim soft tissue injuries where it’s difficult to substantiate an injury so that a prescription for a narcotic could be written. In addition, addicted patients, who were treated in the past and are in the healthcare database, often revisit the same facility with a fake ID to get another script for narcotics. The same holds true for patients who are fraudulently trying to get service at a healthcare facility for purporting to be someone they are not, and services are rendered, and the healthcare institution then incurs a loss because of the fraud.

TM’s non-intrusive technology can help to dramatically curb and eliminate these types of fraud to access treatments and medication by detecting and identifying suspicious or flagged individuals, drug seekers, insurance imposters and others. In addition, the system can be set up to notify certain healthcare team members so that they can work together to secure this individual in a manner that is non-confrontational mitigating risk exposure.

Behavior and Mood Detection

No matter the environment, real-time behavior and mood detection can have a huge impact on situational outcomes and understanding this in the healthcare space is very important. Computer vision plays an important role in understanding a patient’s emotions. TensorMark’s Technology Platform can be utilized to analyze the data to determine how a patient is feeling and if additional care is required. Healthcare team members are not always present and being able to have a system detect an issue, based on the patient’s emotions, can save a life or let healthcare providers know a patient is in pain or that there is another health-related issue that needs to be addressed.

Healthcare Staff Fatigue

Emotional and physical exhaustion as well as fatigue play a role in many environments but in the healthcare environment, this can and does have dire consequences. The healthcare environment is a grueling environment with long hours and a considerable amount of stress and because of this, the healthcare staff is not immune to being exhausted, suffering from anxiety, being depressed on some level, feeling sad and hopeless, among other emotions. The reality is that many healthcare workers don’t realize they are suffering from one of the mentioned items until it affects them or sometimes don’t realize their level of mental and physical fatigue.

Utilizing TensorMark’s Technology Platform, to analyze healthcare workers facial expressions, organizations will have the ability to assess their employees and be proactive by putting in systems to ensure these employees are also receiving the proper level of support and care as well as mitigating potential exposure to the healthcare facility in reducing medical errors. By being proactive, healthcare organizations can help to ensure their staff members are performing at their best mentally and physically as opposed to suffering from burnout that’s ignored.

Optimizing Pain Relief

Outside of standard care such as physicals and the most common of health ailments, pain management is something that exists in virtually all patients. With the opioid and narcotic epidemic at an all-time high, its very important to balance the needs of the patient properly in an effort to curtail dependency vs. need. TensorMark’s Technology Platform can be utilized to detect the pain level of a patient based on their facial expression and notify the healthcare staff or be utilized to control a patient’s pain pump.

Real-time emotion detection can also be applied in care delivery, namely, in pain management. Sometimes, patients recovering after a serious injury or surgery may not be able to use the patient-controlled analgesia pump to control the flow of painkillers.

Facial Analysis, Saving Lives

Facial recognition can be utilized in instances when a patient can’t speak or when a patient is feeling uneasy and out of sort, but their perception is, they don’t want to bother the clinicians or healthcare team members. The practical utilization of facial recognition, in these situations, can have life-changing implications for both staff and patients especially in situations where the environment is fast paced, and the technology can be utilized to read their facial expressions.

Situational Awareness

Security in a healthcare environment is key to ensuring the wellness and safety of everybody in the healthcare environment from patients to visitors and staff. Healthcare facilities need to constantly be aware of what is going on within a facility and having an understanding of what’s going on, in a large environment, can be facilitated with TensorMark’s technology. Currently, healthcare facilities utilize video surveillance but there are many challenges such as the reactive nature to addressing a situation after the fact, being captive to humans having to monitor these surveillance cameras and, in many instances, not being properly staffed to monitor all cameras. TensorMark’s Technology Platform provides comprehensive situational awareness through real-time actionable intelligence for all types of security threats, suspicious behavior such as loitering, monitoring high risk patients, reducing crowding and identifying to the cleaning crew areas that need to be addressed.

Increase Security and Improve Operations

The larger the healthcare facility, the greater the security and operational challenges for that facility. Security in hospitals covers more than patients, visitors and staff. Security also covers buildings, outdoor facilities, all types of inventory, and laboratories among other things. Healthcare facilities spend a considerable amount of money on surveillance systems, but these systems have their limitations. One of the challenges is the ability to be able to review and analyze this video footage in a quick and efficient manner so the data becomes actionable as well as staffing challenges and relying on the human element to see everything. TensorMark’s Technology Platform adds AI and computer vision dramatically increasing the security and operational efficiency within these areas.

Procedure and Regulatory Compliance

TensorMark’s Technology Platform can also be utilized to facilitate regulatory compliance across the hospital. Some of the things that can be monitored include JCAHO standards, dress codes, hand washing / hand sanitization guidelines to name a few. Anytime there is an infraction, the respective healthcare team member can be notified to address the issue.

Optimize Floor Traffic / Patterns (visitor / personnel)

Whether it is a large healthcare campus, a regional healthcare facility, or a nursing home, one thing is for sure is there are vast amounts of patients, visitors, staff and vendors moving throughout creating numerous operational and security challenges. Many of these types of facilities also have cafeterias, restaurants, gift shops, floral shop, and other areas where patients/visitors walk to. The technology can also be utilized to monitor crowds in waiting areas to help avoid a crisis or situations that can upset or disturb the area. TensorMark’s Technology Platform’s operational intelligence can quantitatively extract and aggregate data such as learning the number of people, gender, age, path, dwell time, as well as other data, of who visits these facilities/areas which can be leveraged to help with the planning of operational needs and decision making without having to utilize tracking devices. TM’s technology can derive actionable insights providing value that was never there, mitigating vulnerabilities, inefficiencies and detecting anomalous behavior. This information can be used in many other ways such as marketing and getting an understanding of the demographic around the facility.

Exterior Traffic / Bottlenecks

Ingress and Egress in healthcare facility parking lots and in the emergency/ambulance entrance areas is crucial. These sensitive areas control all traffic coming into a facility as well as leaving a facility and a bottleneck in any of these areas as well as unauthorized vehicles in key areas can be costly in an emergency as well as add to the stress of visitors visiting a friend or family member. It is also important that all employees have ease of access because the critical nature of their jobs and the facility. TensorMark’s Technology Platform can be utilized to detect issues and trigger rule-based alerts so the healthcare facility staff can proactively address any potential issues at points of ingress and egress such as the number of cars entering versus leaving as well as individuals.

Control Pedestrian and Vehicular Traffic Flows

With so many areas of a healthcare facility, security or operations managers often need to be aware of unusual spikes in pedestrian or vehicle traffic, on roadways and parking lots within healthcare facilities to prevent or proactively respond to traffic congestion. Count-based alerts can notify managers about crowded, or underutilized areas, and allow them to redirect traffic to other parking areas or entrances and exits.

Monitor Suspicious Dwelling and Loitering

Security might also want to be alerted to lingering or dwelling throughout the hospital, such as in gift shops, storage rooms, or off limit areas which could indicate an intention to steal inventory or engage in other illicit behavior. TensorMark’s Technology Platform and analyze and track the amount of time someone dwells in an area and the software can send an alert if someone is dwelling for an unusual amount of time in a particular area.

Mitigate False Liability / Worker’s Comp Claims

TensorMark’s Technology Platform can also be utilized as a valuable risk management tool. Daily, there are occurrences of false liability as well as workers compensation claims that drive up insurance and other costs at healthcare facilities. By applying AI and computer vision, to the existing surveillance system, risk management individuals can be notified proactively when there is an incident with a patient, employee, vendor, or visitor.

Mitigate Risks of Theft and Crime

TensorMark’s Technology Platform can also be utilized to reduce the risk of theft and crime by alerting when individuals, who do not belong, are in areas where they shouldn’t be. An example of this could be an individual who may be hanging close to a supply room or narcotics cart and alert can be sent and the individual monitored. There can be rule-based alerts set to help monitor theft and crime that will help to reduce the risk of theft and crime as well as potential injury as a result.

Lighting Control Alerts

In an effort to reduce costs, many healthcare systems utilize lighting controls to control lighting in areas that are turned on/off/dimmed with motion. TensorMark’s Technology Platform can be utilized to be alerted when it detects lighting changes in areas where lights should not be on sending an alert to the respective individual in security to monitor that area for potential risks such as crime, theft or injury.

Lighting can be yet another indication of an intent to commit a crime – or even something as innocuous as a patient violating curfew, when rest is needed for recovery, or room confinement is needed to ensure the patient – and others’ – safety.

Proactively Maintain and Clean Facilities

Healthcare environments place a lot of importance to ensuring the facility is cleaned and maintained regularly. The facility managers, of these facilities, can utilize TensorMark’s Technology Platform to ensure they are cleaning and maintaining all areas and receive rule-based alerts of high touch areas and areas where people focus on so that cleaning and maintenance efforts can be addressed. Schedules can be put in place as well based upon traffic flow. An example of this could be cleaning the restrooms. There may be an existing schedule in place where restrooms are to be cleaned and maintained that is based solely on the number of hours in a day. There may be a restroom that received virtually no foot traffic but is maintained at the same schedule as a restroom with high traffic. With the software, the high traffic restrooms can be cleaned more often, and the low traffic restrooms can be cleaned less often.

Contact Tracing

Whether it’s a pandemic, bad flu season, a patient with an unknown highly infectious disease, contact tracing is crucial in order to mitigate exposure and as well as the spread of the infection. TensorMark’s Technology Platform can be utilized to identify individuals an infected or suspected individual has come into contact with. In addition, the software can be utilized to reduce the number of employees who become affected from a staffing standpoint.