The latest digital health industry news summary includes news that the e-clinic has launched a backup app and data tracking for lung health improves understanding of respiratory conditions.
e-clinic launches medical reservation application
Patient and software management software provider e-clinic has launched a new patient-centered booking application called BookmyClinic.
The new platform will allow patients to search for relevant clinics, book their treatments and appointments, manage payments and track appointments.
For clinics, it allows them to reach more patients, more effectively, through a location-based search tool that allows users to find nearby clinics for more effective conversion and build loyalty and support from local businesses. .
BookmyClinic will also offer unique analytics to clinic managers to support their growth and development. Anonymized data will be provided based on patient preferences and use of the application, allowing for more tailored services and even greater efficiency.
Mark Lainchbury, product director of the e-clinic, said: “The launch of the new app comes as the world emerges from the pandemic and the business plan for its reopening.
“In the face of a reduction in blockage and a return to relative normalcy, cosmetic treatments are expected to experience a boom after closure and medical surgeries to manage a greater number of patient bookings. We believe this is an opportune time for the clinics are preparing for it ”.
Monitoring lung health data aims to improve data on respiratory health
The Working Group on Lung Health, a collaboration of more than 30 charities, organizations and patients with lung disease trying to improve lung health in England, is unveiling its monitoring of lung health data, which aims to provide statistical evidence on the nation’s lung health.
The monitoring of lung health data was created to address the fact that respiratory health data are irregular, lagging far behind other diseases. Although there are 12 million people living with a history of lung disease in the UK, before the creation of the Lung Data Tracker, there was no public resource or “one-stop shop” that could inform researchers, healthcare professionals and the public on lung health across the country.
Since the launch of Lung Health Data Tracker in December 2019, the working group has been able to highlight that almost one million people in England have lost opportunities to quit smoking due to service cuts, find out that there are at least 450,000 people living with occupational lung diseases (existing records show only 144,000), and highlight the need to increase flu uptake among health care workers.
Dr Alison Cook, chair of the Lung Health Working Group, said: “Lung health monitoring data was developed to address the huge gaps in lung health reporting.
“The data that exists is often incomplete, difficult to understand and hidden behind closed doors and is not available to the public. It is difficult to support people living with lung conditions when there are obvious lack of knowledge about how many people are living with certain conditions, how easily they can access treatment, and how they are affected by lung health problems across the country.
“With the launch and development of lung health data tracking, Taskforce is creating a one-stop shop where everyone can access the available information we have about lung health for the first time and, most importantly, understand it for once.”
The artificial intelligence tool can improve the diagnosis of cancers
An artificial intelligence (AI) tool could improve the diagnosis of metastatic cancer, according to new research.
From 1 to 2 percent of cancer cases, the primary site of tumor origin cannot be determined, and patients often have to undergo extensive diagnostic procedures that can delay treatment.
To improve the diagnosis of patients with complex metastatic cancers, especially those in low-resource settings, researchers at the Mahmood Laboratory at Brigham and Women Hospital developed an artificial intelligence (AI) system that uses acquired histology slides. routinely to accurately find the origins of metastatic tumors while generating a “differential diagnosis” for patients with CUP (unknown primary cancer).
Faisal Mahmood, PhD, of Brigham’s Division of Computational Pathology and assistant professor at Harvard Medical School, said: “Almost every patient who is diagnosed with cancer has a histology slide, which has been the standard. diagnosis for more than a hundred years.
“Our work provides a way to leverage universally acquired data and the power of artificial intelligence to improve the diagnosis of these complicated cases that often require extensive diagnostic work.”
The deep learning algorithm developed by the researchers, called Tumor Origin Assessment via Deep Learning (TOAD), simultaneously identifies the tumor as primary or metastatic and predicts its site of origin.
The researchers trained their model with gigapixel pathology images of tumors from more than 22,000 cancer cases, and then tested TOAD in about 6,500 cases with known primaries and analyzed increasingly complicated metastatic cancers to establish the utility of the model. of AI in the CUP.
For tumors with known primary origins, the model correctly identified cancer 83% of the time and included the diagnosis among its three main predictions 96% of the time.
The researchers tested the model in 317 CUP cases for which a differential diagnosis was assigned, finding that the diagnosis of TOAD was in agreement with pathologists ’reports 61% of the time and the agreement of the first three in the 82% of cases.
The findings were published in the journal Nature.
The Rotherham-based medical device company takes home the innovation award
A Rotherham-based medical device company has been awarded a Queen’s Award for Enterprise in Innovation.
Marsden won the award in recognition of the work the company has done in developing a single patient transfer scale, which is used to provide accurate weight measurements when a patient is admitted to the hospital.
Launched in 2018, the Marsden Patient Transfer Scale is now used on 65% of all NHS trusts across the UK and is also sold worldwide.
The innovative product was developed when nurse Gillian Taylor witnessed first-hand the discomfort and delays in treatment caused when medical staff tried to weigh immobile patients using traditional hoists.
When a patient suffers a stroke or is diagnosed with sepsis, it is vital that the medication be administered as quickly as possible. However, before starting treatment, a patient must be weighed to identify the correct dose needed.
But annoying elevators could lead to delays in the time a patient needs to receive treatment. Now, the patient transfer scale can weigh patients up to 250 kg (39 stones) and provides accurate readings of up to 500 g.
Gillian Taylor, inventor of the patient transfer scale, said, “When patients are admitted to the hospital, accurate weight measurements are critical because it determines the amount of medication needed.
“I looked at the stairs in my kitchen and spent some time in the light bulb. During my research, I began to realize that the invention could have other practical uses within a hospital and after developing a prototype we approached Marsden to see if they could help transform the idea into a product capable of saving. lives ”.