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306 | Kankane et al - Apply of WhatsApp in Neurosurgery 

 

 

 

 

 

 

 

Apply of WhatsApp: A quick, simple, smarty and cost 

competent method of communication in neurosurgery 

Vivek Kumar Kankane, Gaurav Jaiswal, Tarun Kumar Gupta 

Department of Neurosurgery, R.N.T. Medical College & M.B. Hospital, Udaipur, Rajasthan, India 

 
Abstract: Objective: Neurosurgeons habitually have to hinge on judgments of 

subordinate staffs to build an assessment on patients whom they cannot be present at 

immediately. WhatsApp is a no charge to use application for image transfer on Internet. 

We evaluated the use of WhatsApp in neurosurgical milieu, to show it is economical, 

quick, available, reliable and practicable. Materials and methods: We coordinate a 

prospective observational study from December 2014 to June 2015. Residents were 

skilled to take sharp pictures and upload them immediately using WhatsApp on Internet. 

Primary conclusion was difference between opinion of residents and consultants on 

WhatsApp images and time delay in decision-making. Conflict was evaluated significant 

if it changed management decision. Results: In the study period, 1356 (mean age: 35.53 

years, 71.28% males) patients were included in study those admitted in after hospital 

hours. Internet packs of smart phone available in market in very economical cost. 

Judgment could be made on images received on WhatsApp at an average of 4.06 min. 

There was Conflict in 7.22% cases between residents’ reports and images on WhatsApp. 

All Radiological imaging modalities, were associated with statistically Insignificant 

difference (P >0.05). Conclusion: This study suggests that apply of WhatsApp in 

neurosurgery can be a simple quick reliable and almost free mode of communicating 

images enabling a quick decision. Though this cost-effective method should be used with 

concern particularly with Radiological imaging modalities, which require dispensation 

and appraisal on console. 

Key words: Multimedia messaging service, Communication, neurosurgery, WhatsApp, 

Smart phone 

 
Introduction 

Radiological imaging (RI) Conflict has 

been often reported when junior doctors or 

residents report on imaging done during off 

hours. [1‑5] This RI Conflict has been found 

to have significant clinical impact. [1‑5] To be 

capable to make an assessment on a 

neurosurgical patient as soon as his primary 

management is complete, will not only 

accelerate the definitive care but also improve 



 

 

 

 

 
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the final outcome. Such an approach will have 

an impact on the residency training program. 

Smart phones are broadly available. 

WhatsApp is a free of charge to use 

application, which can be used over an 

extensive number of mobile and enable one to 

talk as well as send pictures over Wi-Fi or 3G 

or 2G network. 3G or 2G Internet packs 

available in market in very economical rate. 

This study was coordinate to look at the option 

of using this free app in communicating 

information related to neurosurgical 

emergencies. The objective of this study was to 

observe if use of WhatsApp is economical, 

quick, easy to get to, reliable and realistic in 

neurosurgery mainly in reporting emergency 

cases in off hours of hospital. 

Materials and Methods 

A Prospective observational study was 

coordinate in the Department of 

Neurosurgery, R.N.T. Medical College & M.B. 

Hospital, Udaipur, and Rajasthan, India from 

December 2014 to June 2015. All patients 

observing emergency department in off hours 

of hospital and assessment by neurosurgical 

residents were included in the study. Personal 

smart phones with facility of camera 

(resolution at least 5 Megapixel) and 

WhatsApp installed were used in the study. 

Residents were trained to take clear pictures 

and upload them immediately using 

WhatsApp over Internet [Figure 1]. Images 

were taken in close and distant mode. There 

was no restriction on number of images 

however uploading big number of images took 

more time. Radiological Images transferred 

include those of X-rays, Computed 

tomography (CT) scans, magnetic resonance 

imaging (MRI) scans; CT angiography scans 

[Figure 2]. These images were studied by 

consultant neurosurgeon and afterward 

compared with the reporting done by resident. 

RI reported by residents was considered as 

Group 1, by the consultant neurosurgeon on 

WhatsApp as Group 2, by residents’ 

radiologist as Group 3, by the consultant 

neurosurgeon on actual images as Group 4 and 

by consultant radiologist as Group 5. 

Outcome variables 

Primary endpoints were Conflict of 

opinion between Group 1 and 2, and 

compared to Group 2& 4 and Group 3 & 5 and 

time delay in decision-making on WhatsApp. 

Conflict was considered significant if it 

changed management decision. Afterward 

analysis involved which RI modality was 

difficult to study on WhatsApp using Chi-

square test. Statistical software for Social 

sciences (SPSS) version 17 was used for 

analysis of data. 
 

 
Figure 1 - Resident captivating snapshot on Smart 

headset 



 

 

 

 

 
308 | Kankane et al - Apply of WhatsApp in Neurosurgery 

 

 

 

 

 

 

 

 

 
Figure 2 - dissimilar category of smart phones used 

in the study with WhatsApp on display 

 

Ethical issues 

As this study instructed collecting data and 

did not entail direct intervention on patients, 

there were no ethical issues involved. Patients 

enrolled were not provided with economic 

incentives, as this study did not require any 

extra investigation. 

Results 

A total of 1356 (mean age: 35.53 years, 

range 3 month days to 91 years, 71.28% males) 

patients were included in the study. All 

patients with accidents, 997 (73.52%) patients 

had road traffic accidents, 171 (12.61%) had 

fall and 188 (13.86%) had physical assault. 610 

(44.98%) patients presented with headache, 

132 (9.73%) with weakness, 680 (50.14%) with 

altered sensorium and 162 (11.94%) with 

seizure. Of the 1356 different types of RI 

transferred on WhatsApp included: 828 

(61.06%) cranial CT scans, 155 (11.43%) X-

rays, 13 (0.95%) CT angiography images, 360 

(26.54%) MRI images and respectively. 

Decision could be made on images sent on 

WhatsApp after a mean delay of 4.06 ± 1.482 

min (range 3‑12 min) from availability of 

images for upload. This delay involved taking 

pictures, uploading and communicating to 

consultant. Using WhatsApp, conflict between 

RI reporting by residents (Group 1) and 

consultant neurosurgeon (Group 2) was 7.22% 

(98 cases). In 58 cases (4.27%), residents could 

not comment due to confusion in diagnosis, in 

14 cases (1.03%) they could not identify 

surgical indications, in 17 cases (1.25%) they 

missed critical findings and in the last 9 cases 

(0.66%) they missed surgical requirement as 

well as critical findings. Resident usually 

missed location as well as differentials in 



 

 

 

 

 
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hypodense lesions on CT scans. They 

frequently missed critical findings that had 

bearing on deciding time of surgery as well as 

approach. This Conflict was clinically 

significant in 80 cases out of 98 cases (81.63%) 

where management of patients changed. This 

change in management plan  from medical to 

surgical intervention or adding osmotic 

diuretics Of all imaging modalities, Conflict 

between Group 1 and Group 2 was highest for 

CT angiography head (30.76%) followed by X-

ray of cervical spine (21.93%) followed by MRI 

(8.33%) and CT head (3.623%). There was 

100% Accord between Group 3 and 4 however 

there was 5.16% conflict between images seen 

on WhatsApp (Group 2) and actual image 

interpretation (Group 4) and there was 7.81% 

conflict between image seen on consultant 

radiologist (Group 3) and image seen by 

resident radiologist (Group 5). It was found 

that of all the RI modalities, had  statistically 

Insignificant difference between group 1 and 

group 2 Compare to  group 2 and group 4 (P 

value > 0.05) and also all RI modalities, had  

statistically Insignificant difference between 

group 1 and group 2 Compare to  group 3 and 

group 5 (P value > 0.05) [Table -1].  Of 1356 

patients, 351 patients (25.88%) underwent 

surgery and rest 74.12% were managed 

conservatively. As this app is freely available 

on Internet and can be used on any mobile or 

pc platform, using this app and service was free 

of cost. Moreover due to very cost effective 3G 

or 2G internet packs available in market. Effect 

of time of day when images were sent for 

consultation was studied to know whether 

exhaustion induced during duty hours and 

consequent slowness during off hours has 

effect on delay in reporting or increase in 

difference between RI reporting. 

 

TABLE I 

Comparison of conflict between group 1, 2 and group 2 & 4 and comparison of conflict between 

group 1 & 2 and group 2 & 4 according to different images sent on WhatsApp 

Comparison of 

Groups 

    X ray ( Skull 

&Cervical Spine) 

NCCT Head  CT Angiogram  MRI (Brain & 

Spine) 

Yes No Yes No Yes No Yes No 

Conflict  between 

group 1 & 2 

34 121 30 798 4 9 30 330 

Conflict between 

group 2 & 4 

25 130 20 808 3 10 22 338 

P Value 0.193 0.07 0.658 0.249 

     

Conflict  between 

group 1 & 2 

34 121 30 798 4 9 30 330 

Conflict  between 

group 3 & 5 

25 132 40 788 2 11 39 321 

P Value 0.107 0.222 0.352 0.225 

 



 

 

 

 

 
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TABLE II 

Drawback and dealings to settle 

Drawback dealings to settle 

deprived resolution When taking images with a smart phone camera, try to go as close as 

possible to the subject rather than zooming in when you take a shot. 

You will get better-resolution photos cropped, than zoomed in. 

Images of flash/ 

neighboring luminosity 

Camera flash you have on your phone is almost always too harsh and 

rarely helpful. Instead try increasing your camera’s exposure and ISO 

levels. Alternatively you could use an external flash like iBlazer or Light 

strap so close flash light keep away from any direct luminosity over image 

while taking snap 

Missing fractures learn on bone windows of real images 

Under reporting 

angiography 

learn on console/3D 

Difficulty in Beginners to taking 

snaps 

Residents were skilled to take clear pictures & gave basic knowledge 

about focus, exposure, white balance and ISO. 

 

Discussion 

Neurosurgical care is limited in many parts 

of the world to one or two hospitals serving a 

large geographic area. The quality of 

neurosurgical response to emergencies depends 

on the reliability and completeness of the 

information received from referral hospitals.  

First time Servadei F et.al conducted a study 

from January 1998 to December 2000, the aim 

of this study is to show how application of 

guidelines for head injury management in an 

entire area can be usefully combined with 

transmission of images from the peripheral to 

the central hospital. In conclusion of this study 

is unnecessary transfers can be avoided and the 

neurosurgeons can evaluate the images of a 

number of patients who have always been 

treated outside our Units. This results in more 

work for the neurosurgeons on duty, but also in 

a better quality service for the whole area [9].  

During the last decade, there is an 

increasing demand to discuss diagnostic 

images and reports of difficult cases with 

experienced staff. A possible solution besides 

physically transporting patients and material 

is to use high-speed communication networks 

to transfer images and reports electronically. 

With the web application PACS flow we have 

developed a solution to transfer images, 

reports, and messages as a single package in a 

one-step procedure. The PACS flow is an 

interoperable and standard compliant web-

based application, which gives clinicians a 

user-friendly interface for their work on a daily 

basis, so clinicians have tried sending images 

using KIS, RIS and PACS after office hours in 

specialties such as radiology [6, 3], Medicine 

and cardiology[2,11,12,]. Patients archiving 

and communication system (PACS) which is 

time consuming and requires expensive 

hardware’s or definite system. The advance of 

communicating images using WhatsApp only 

requires taking appropriate pictures and 



 

 

 

 

 
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uploading on Internet. This process is speedy 

as it takes only fractions of minutes to upload 

as well download on the recipient 

workstations. In this study it took a mean of 

4.06 min. to decide on images. This was much 

faster than reported delay in actual image 

interpretation by radiologist in literature (8.6 

h). [5]. Using other modes of communications 

like sending images by using Multimedia 

Messaging Service (MMS) is used by 

neurosurgical residents to transmit scan 

images to the attending neurosurgeon in 

conjunction with telephone consultation. This 

service has been well received by the attending 

neurosurgeons, who felt that after viewing 

scan images on their phones, they felt 

increased confidence in clinical decision 

making and that it reduced the need for recall 

to the hospital. 

    Bullard TB et al.  Investigated whether 

head CT images captured using a mobile 

phone would be of sufficient quality for 

neurosurgeons at a level 1 trauma center to 

make decisions about whether to transfer 

patients from referring hospitals. Mobile-

phone images of CT scans appear to provide 

adequate images for triaging patients and 

helping with transfer decisions of 

neurosurgical cases [4]. Pick j.et al introduce 

Image transfer by mobile phones into clinical 

practice to improve communication between 

neurosurgeons. Most images were transferred 

from the resident on call to the senior 

neurosurgeon backing him up. Overall, the 

system was extremely reliable, quick, and 

enabled immediate decisions in all emergency 

situations [8]. 

Thapa A et al [10] used Viber in 

neurosurgical scenario, to show it is cheap, 

fast, accessible, reliable and feasible. This study 

suggests that the use of Viber App in 

neurosurgery can be an easy fast reliable and 

almost free mode of communicating images 

enabling a quick decision. Our study is similar 

to this study, except number of patient and 

number of groups is more in our study and we 

used Different apps of smart phone. Conflict 

between resident and consultant (consultant 

neurosurgeon) was comparable to other 

studies, published particularly by emergency 

physicians [5, 1] and radiologist.[7,13] In our 

study, we found that in 81.63% cases where 

there was between resident report and image 

interpretation on WhatsApp, treatment was 

significantly altered. Medical imaging sent 

over mobile phones has been found to be 

constantly interpretable as in our study. In 

only 4.08% cases images reported on 

WhatsApp required further modification on 

actual image interpretation, which was found 

to be in cases of CT angiography and MRI 

spine. Our study shows that WhatsApp not 

only helped in early and proper decision 

making but also take required interventions. It 

was found that those Medical Imaging 

modalities, which required maneuvering on 

console especially CT angiography head, 

required careful analysis on WhatsApp and we 

recommend that it should not exclusively be 

reported on WhatsApp. Hence this study 

shows that use of WhatsApp in 

communicating neurosurgical emergencies is 

economical, speedy, handy, reliable and 

realistic; however there is drawback as noted in 

Table 2. 



 

 

 

 

 
312 | Kankane et al - Apply of WhatsApp in Neurosurgery 

 

 

 

 

 

 

 

Conclusion 

This study, a first of its way recommends 

use of WhatsApp in neurosurgery; an easy fast 

reliable and almost free mode of 

communicating radiological images enabling a 

quick decision. However this cost effective 

method should be used with concern 

particularly with radiological imaging 

modalities, which necessitate dealing out, and 

evaluation on console. The mobile phone 

system is adequately useful for early diagnosis 

and start of treatment in emergent cases. This 

is attributable to its low cost and eases of 

handling for sending images to remote areas 

and between hospitals, despite the small 

dimensions of the monitor. 

 

Correspondence 

Vivek Kumar Kankane 

M.Ch.Neurosurgery Resident, R.N.T. Medical College 

& M.B. Hospital, Udaipur, Rajasthan, India.  

Email address: vivekkankane9@gmail.com 

Address: C/O Dr. Khamesara 59 Sardarpura, 

Udaipur, Rajasthan, India, Pincode 313001 

Mobile no. 8955337812 

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