FE RP NCBR UE

Project title

System supporting the management of pain and mental health of oncological patients using an innovative multidimensional approach to pain assessment, pain in the occurrence of pain and assessment of the patient's health with the help of deep learning algorithms (Deep Learning)

Project goal

Creating a telemedician telemedicine system to manage the pain and mental health of an oncological patient. Thanks to the algorithms, based on measurements of parameters from the group: heart rate, pressure, sugar levels, saturation, body temperature, sleep, physical activity, through the use of Deep Learning method, critical parameters will be selected, strictly correlating with the level of pain and mental welfare. By monitoring the patient's condition, he will notify the upcoming episode of pain, thanks to which the patient struggling with cancer will be able to effectively counteract pain episodes, i.e. improve the quality of life.

Project goal Project goal

Project goal

Creating a telemedician telemedicine system to manage the pain and mental health of an oncological patient. Thanks to the algorithms, based on measurements of parameters from the group: heart rate, pressure, sugar levels, saturation, body temperature, sleep, physical activity, through the use of Deep Learning method, critical parameters will be selected, strictly correlating with the level of pain and mental welfare. By monitoring the patient's condition, he will notify the upcoming episode of pain, thanks to which the patient struggling with cancer will be able to effectively counteract pain episodes, i.e. improve the quality of life.

Project description

The project strives to solve 2 main research problems:

  1. measuring pain and defining objective factors supporting the assessment and management of pain,

  2. creating a method of a reliable forecast of pain and a related mental health in an oncological patient.

Pain and its intensity has a direct impact on clinical results, it is also one of the main factors affecting the effectiveness of treatment and quality of life. Currently used methods of standardization method when assessing the severity of pain on a metric scale (BPI, MPAC, SF-MPQ, POMS, PHQ-9). Despite the availability of these tools, the pain is insufficiently analyzed and controlled in oncological patients - at least 1/3 of patients are inadequately treated by the lack of due attention to pain issues. This is due to periodic pain assessment (during a medical visit instead of continuously), subjectivity of assessment, often emotionally characterized, but also difficulties in comparison of present pain with the past or in determining its intensity. The inaccurate assessment of pain is one of the 4 main barriers that hinders the correct treatment. As another obstacle, the reluctance of patients to report pain episodes was identified.

The result of the project will be a new innovative system, whose task will be to support pain treatment, forecast and analyze mental health.

The result will contribute to the more effective management of the patient's pain and well-being and will improve the work of oncologists, psycho-oncologists, clinical psychologists, chemo- or radiotherapists.

Pain treatment should not be based only on pharmacological treatment. Thanks to the solution based on the Deep Learning method, it will be possible to automate the pain treatment process in the form of a telemedicine service and implementing such healing procedure (treatment paths) that will allow the patient to prepare for episodes of pain, limitation (or sometimes even eliminating) factors responsible for the appearance of pain, as well as minimizing the effects of its occurrence.

The project strives to solve 2 main research problems:

  1. measuring pain and defining objective factors supporting the assessment and management of pain,

  2. creating a method of a reliable forecast of pain and a related mental health in an oncological patient.

Pain and its intensity has a direct impact on clinical results, it is also one of the main factors affecting the effectiveness of treatment and quality of life. Currently used methods of standardization method when assessing the severity of pain on a metric scale (BPI, MPAC, SF-MPQ, POMS, PHQ-9). Despite the availability of these tools, the pain is insufficiently analyzed and controlled in oncological patients - at least 1/3 of patients are inadequately treated by the lack of due attention to pain issues. This is due to periodic pain assessment (during a medical visit instead of continuously), subjectivity of assessment, often emotionally characterized, but also difficulties in comparison of present pain with the past or in determining its intensity. The inaccurate assessment of pain is one of the 4 main barriers that hinders the correct treatment. As another obstacle, the reluctance of patients to report pain episodes was identified.

The result of the project will be a new innovative system, whose task will be to support pain treatment, forecast and analyze mental health.

The result will contribute to the more effective management of the patient's pain and well-being and will improve the work of oncologists, psycho-oncologists, clinical psychologists, chemo- or radiotherapists.

Pain treatment should not be based only on pharmacological treatment. Thanks to the solution based on the Deep Learning method, it will be possible to automate the pain treatment process in the form of a telemedicine service and implementing such healing procedure (treatment paths) that will allow the patient to prepare for episodes of pain, limitation (or sometimes even eliminating) factors responsible for the appearance of pain, as well as minimizing the effects of its occurrence.

Who is the project dedicated to

The Mikroserwis Takescare will be directly dedicated to oncological patients and their loved ones, and indirectly their conducting doctors. About 75% of patients with advanced cancer require constant protection with painkillers, and in the group of patients with cancer metastases almost 100%. As part of the project, we want to focus on studying pain accompanying breast cancer (over 20% of cancer cases in PL).

The group of end users will be oncological patients affected by breast cancer. The recipients of the solution will also be oncologists (oncologists, chemotherapists, radiotherapists, psycho -oncologists and clinical psychologists) who will use them to recommend a treatment plan for patients, which will increase the quality of treatment and increase the effectiveness of therapy.

in the future further The development of the microserwis will allow you to expand the group of recipients to include patients suffering from other cancers, and then will also include other chronic diseases, characterized by constant sensation of pain.

Who is the project dedicated to Who is the project dedicated to

Who is the project dedicated to

The Mikroserwis Takescare will be directly dedicated to oncological patients and their loved ones, and indirectly their conducting doctors. About 75% of patients with advanced cancer require constant protection with painkillers, and in the group of patients with cancer metastases almost 100%. As part of the project, we want to focus on studying pain accompanying breast cancer (over 20% of cancer cases in PL).

The group of end users will be oncological patients affected by breast cancer. The recipients of the solution will also be oncologists (oncologists, chemotherapists, radiotherapists, psycho -oncologists and clinical psychologists) who will use them to recommend a treatment plan for patients, which will increase the quality of treatment and increase the effectiveness of therapy.

in the future further The development of the microserwis will allow you to expand the group of recipients to include patients suffering from other cancers, and then will also include other chronic diseases, characterized by constant sensation of pain.

contact

  • Centers implementing the project:
  • Dolnośląskie Centrum Onkologii
  • Plac Hirszfelda 12
  • 53-413 Wrocław

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