Blood Bank Management System

Complete Digital
Transformation.

Name: RFID Blood Tracking System
Brand: Bagmo
Availability: InStock

End-to-end blood centre management software with integrated RFID tracking. From donor recruitment to issue, every process is digitized, compliant, and secure.

Request Demo Explore Features

DONOR_REGISTRY_V2.0

A+

Verified

O+

Pending

B-

Draft

AB+

Verified

O-

Draft

A-

Pending

B+

Draft

Compliance Status

100% Audit Ready

Compliance & Integration

Regulatory Readiness
Built-in by Design.

Our system is designed from the ground up to meet national regulatory requirements, ensure inspection readiness, and support seamless integration with government platforms.

Regulatory Compliance

Fully compliant with NABH Standards & NBTC Guidelines.

Fully compliant with NABH Standards
Aligned with NBTC Guidelines
Adheres to Drugs & Cosmetics Act
Supports statutory registers & daily records
Structured workflows for approved SOPs

e-RaktKosh Integration

Seamless, automatic data synchronization.

Automatic sync with e-RaktKosh
Eliminates manual data entry
Real-time reporting of stocks & collections
Reduces human error & improves accuracy
Supports government digital workflows

Audit Trail & Traceability

Complete accountability from donor to patient.

Complete audit trail across all modules
Logs User, Date, Time, and Activity
Traceability: Donor → Bag → Component → Issue
Supports medico-legal safety
Ideal for NABH & internal audits

Custom Reports & Insights

Flexible reporting tailored to your SOPs.

Custom statutory reports per client
Tailored to local inspection formats
Management dashboards & trend analysis
Flexible export (Print / PDF / Excel)
Rapid customization for new demands

Designed for Confidence

Compliance

without complexity

Automation

without compromise

Transparency

without risk

A future-ready system built for today’s regulatory reality.
Fully aligned with NABH, NBTC, and Drugs & Cosmetics Act requirements.

100% Compliant Documentation

Digital Registers

Click on any register below to see the standard format compliant with Drugs & Cosmetics Act.

General & Master Records

Blood Donation

Blood Processes

Inventory

Blood Requests

Daily Registers

Master Register

End-to-end journey of a donation: Donor details to Serology.

Sl.No	Time	Donor Name	Age	Gender	Phone Number	Temperature(°C)	Hb(g%)	Pulse(/min)	BP(mmHg)	Weight (kg)	Height (cm)	Done By
1	9:21 AM	Priya Gowda	23	Male	1234511057	37.00	15.00	66	122/72	51	152	Roshana Rameshan
2	9:23 PM	Diya Das	27	Female	1234587723	37.00	14.41	79	119/85	76	178	Roshana Rameshan
3	4:21 AM	Sneha Gupta	48	Female	1234553193	37.00	15.60	79	110/79	73	151	Swathy Sivadasan
4	5:31 PM	Ananya Joshi	54	Female	1234559296	37.00	14.00	87	111/75	75	180	Dr. Sangeetha
5	12:43 AM	Neha Chopra	26	Female	1234544569	37.00	13.63	89	130/70	73	159	Soumya S
6	5:53 AM	Aditya Verma	33	Male	1234556915	37.00	13.88	70	116/70	55	157	Mahitha KM
7	6:58 AM	Vivaan Gowda	37	Male	1234586365	37.00	12.82	78	126/80	81	177	Swathy Sivadasan
8	8:34 AM	Krishna Das	19	Female	1234510541	37.00	14.75	82	121/83	62	179	Vidya A Divakaran
9	11:59 AM	Zain Menon	50	Male	1234526073	37.00	13.93	66	120/79	74	161	Swathy Sivadasan
10	5:54 AM	Yusuf Chopra	41	Female	1234539078	37.00	13.31	74	111/83	82	152	Roshana Rameshan
11	6:56 PM	Ishaan Rao	29	Female	1234591197	37.00	13.56	68	126/81	56	177	Aparna K T
12	2:15 PM	Siya Rao	23	Female	1234572569	37.00	13.04	71	125/70	85	156	Soumya S
13	7:40 PM	Amit Nair	30	Male	1234590932	37.00	15.68	63	122/76	82	150	Mahitha KM
14	2:12 PM	Mohammed Patel	42	Male	1234528747	37.00	14.57	73	115/78	55	170	Binu N
15	8:40 AM	Krishna Khan	42	Female	1234536681	37.00	12.74	62	119/83	61	182	Binu N
16	9:50 PM	Krishna Reddy	24	Male	1234583905	37.00	14.84	79	115/77	78	175	Roshana Rameshan
17	4:41 PM	Reyansh Kumar	38	Female	1234547764	37.00	15.87	71	116/73	61	162	Roshana Rameshan
18	2:42 AM	Rohan Nair	24	Female	1234556039	37.00	14.40	87	111/71	76	170	Vidya A Divakaran
19	12:40 PM	Rahul Sharma	38	Female	1234547361	37.00	15.15	79	117/72	66	154	Roshana Rameshan
20	8:53 PM	Riya Mehta	55	Female	1234572672	37.00	12.59	78	126/85	51	166	Swathy Sivadasan
21	6:10 AM	Ayaan Khan	39	Male	1234540215	37.00	13.92	85	115/84	51	177	Dr. Sangeetha
22	4:12 PM	Yusuf Patel	52	Male	1234583210	37.00	13.80	90	110/78	85	175	Mahitha KM
23	6:56 AM	Sai Rao	45	Male	1234557671	37.00	15.31	60	124/84	87	170	Mahitha KM
24	10:39 PM	Kavita Verma	35	Female	1234512459	37.00	13.00	68	115/75	76	156	Mahitha KM
25	10:29 PM	Amit Mehta	41	Male	1234522229	37.00	15.60	64	119/76	67	172	Binu N
26	10:42 AM	Zain Gowda	18	Male	1234588634	37.00	14.87	77	126/77	89	176	Dr. Sangeetha
27	11:55 PM	Rahul Reddy	24	Female	1234511454	37.00	15.57	85	114/81	55	163	Vidya A Divakaran
28	3:55 PM	Rahul Verma	55	Male	1234586419	37.00	13.88	74	111/83	93	156	Aparna K T
29	10:30 AM	Kavita Gowda	44	Male	1234515325	37.00	13.99	64	122/76	54	172	Aparna K T
30	1:41 AM	Rohan Reddy	46	Male	1234517434	37.00	14.62	75	122/76	89	182	Soumya S
31	4:24 AM	Fatima Sharma	38	Female	1234597465	37.00	13.76	75	125/74	50	165	Vidya A Divakaran
32	4:30 AM	Riya Pillai	41	Male	1234515281	37.00	14.81	63	119/85	86	163	Binu N
33	1:19 AM	Yusuf Nair	43	Male	1234580712	37.00	14.34	67	113/81	54	172	Soumya S
34	7:59 AM	Ananya Yadav	55	Male	1234565715	37.00	14.49	67	114/71	75	155	Mahitha KM
35	3:46 PM	Myra Das	28	Male	1234583315	37.00	15.86	69	122/72	59	178	Soumya S
36	3:19 PM	Ishaan Verma	29	Female	1234597748	37.00	14.81	62	125/78	85	167	Soumya S
37	5:59 AM	Diya Das	44	Female	1234585168	37.00	15.81	77	120/85	58	182	Swathy Sivadasan
38	9:29 PM	Kavita Gowda	43	Female	1234555390	37.00	13.92	87	122/72	77	178	Vidya A Divakaran
39	4:19 AM	Arjun Khan	52	Male	1234524663	37.00	12.72	77	121/82	73	170	Roshana Rameshan
40	7:51 PM	Kavita Reddy	31	Male	1234520958	37.00	14.84	86	119/72	84	156	Dr. Sangeetha
41	4:33 AM	Neha Kumar	51	Female	1234549775	37.00	15.31	72	116/74	79	181	Vidya A Divakaran
42	7:37 AM	Neha Yadav	40	Female	1234520086	37.00	14.23	80	127/85	78	172	Binu N
43	1:26 PM	Aarav Rao	47	Female	1234542709	37.00	15.99	66	129/72	87	175	Swathy Sivadasan
44	7:49 PM	Anika Nair	52	Female	1234519469	37.00	13.66	75	124/84	69	179	Soumya S
45	10:39 PM	Fatima Gowda	49	Female	1234563540	37.00	15.23	85	124/74	91	171	Mahitha KM
46	7:12 PM	Krishna Chopra	31	Male	1234572542	37.00	15.92	63	128/82	84	171	Binu N
47	9:50 AM	Rahul Khan	49	Male	1234590379	37.00	12.69	86	123/83	56	183	Soumya S
48	11:31 PM	Fatima Patel	36	Male	1234551594	37.00	13.30	84	121/72	90	157	Binu N
49	9:45 PM	Ananya Singh	19	Female	1234562800	37.00	14.26	70	126/76	61	176	Mahitha KM
50	9:31 AM	Rahul Kumar	53	Female	1234539175	37.00	14.08	78	121/79	95	154	Roshana Rameshan
51	3:15 PM	Myra Verma	26	Male	1234599853	37.00	12.73	88	110/84	68	177	Vidya A Divakaran
52	9:42 AM	Yusuf Khan	28	Female	1234530527	37.00	14.09	86	112/80	86	174	Dr. Sangeetha
53	5:52 AM	Ishaan Sharma	48	Male	1234539177	37.00	15.29	63	116/72	93	159	Soumya S
54	1:23 AM	Amit Sharma	21	Female	1234514198	37.00	12.64	66	121/75	81	160	Mahitha KM
55	11:57 PM	Ishaan Yadav	52	Female	1234548791	37.00	14.90	76	111/71	91	155	Swathy Sivadasan
56	6:47 AM	Sai Verma	47	Male	1234524940	37.00	13.38	74	111/71	55	170	Aparna K T
57	7:37 PM	Aadhya Gowda	23	Female	1234519855	37.00	13.55	72	116/85	50	156	Vidya A Divakaran
58	5:10 PM	Fatima Gowda	47	Male	1234577990	37.00	14.38	85	116/79	76	160	Vidya A Divakaran
59	4:43 AM	Sneha Das	43	Male	1234581923	37.00	13.94	79	125/79	86	168	Dr. Sangeetha
60	9:40 PM	Rohan Nair	44	Male	1234530972	37.00	15.41	72	115/74	80	154	Dr. Sangeetha
61	7:25 AM	Neha Gowda	54	Male	1234565257	37.00	15.80	79	128/78	59	160	Vidya A Divakaran
62	7:33 PM	Mohammed Kumar	50	Male	1234572024	37.00	13.52	63	115/71	74	175	Dr. Sangeetha
63	12:25 PM	Sai Das	19	Male	1234593370	37.00	12.88	72	115/82	95	179	Dr. Sangeetha
64	2:51 AM	Mohammed Kumar	35	Female	1234521869	37.00	15.18	79	115/76	84	150	Dr. Sangeetha
65	7:28 PM	Ananya Verma	27	Male	1234551469	37.00	15.96	79	125/78	55	151	Binu N
66	8:30 AM	Zain Singh	41	Female	1234527333	37.00	13.16	68	111/72	81	174	Binu N
67	11:29 AM	Vikram Kumar	20	Female	1234559324	37.00	14.28	72	126/75	71	168	Binu N
68	3:36 AM	Sai Sharma	52	Female	1234542100	37.00	14.05	65	130/85	59	180	Dr. Sangeetha
69	1:31 PM	Kavita Menon	31	Female	1234599543	37.00	13.48	81	129/78	78	155	Mahitha KM
70	1:52 AM	Diya Sharma	42	Female	1234583598	37.00	13.08	78	129/83	74	160	Swathy Sivadasan
71	1:12 PM	Saanvi Joshi	20	Female	1234551551	37.00	13.62	89	129/74	94	174	Vidya A Divakaran
72	2:42 AM	Pari Yadav	19	Female	1234529906	37.00	15.68	65	121/84	81	160	Swathy Sivadasan
73	5:14 AM	Vikram Patel	47	Male	1234586096	37.00	12.51	90	115/78	60	182	Binu N
74	8:39 AM	Priya Pillai	46	Female	1234527845	37.00	14.09	74	114/72	87	152	Mahitha KM
75	10:35 PM	Neha Chopra	23	Female	1234513958	37.00	14.65	90	130/71	71	178	Swathy Sivadasan
76	11:20 AM	Pari Kumar	35	Male	1234597244	37.00	14.93	83	116/73	92	175	Vidya A Divakaran
77	10:47 AM	Vihaan Menon	43	Female	1234591905	37.00	15.52	79	115/79	56	173	Mahitha KM
78	5:43 PM	Vihaan Das	44	Female	1234534571	37.00	15.28	71	117/81	69	160	Roshana Rameshan
79	12:13 PM	Neha Mehta	40	Female	1234543390	37.00	14.73	90	112/76	53	159	Binu N
80	2:24 PM	Aadhya Yadav	45	Female	1234542747	37.00	13.24	67	119/78	57	165	Dr. Sangeetha
81	11:42 AM	Ananya Verma	50	Male	1234590564	37.00	14.89	84	121/70	55	176	Roshana Rameshan
82	8:43 PM	Sai Gupta	50	Female	1234542244	37.00	12.57	68	115/81	72	152	Roshana Rameshan
83	9:54 AM	Arjun Gupta	29	Female	1234566530	37.00	15.72	67	112/74	54	180	Roshana Rameshan
84	4:28 AM	Zain Joshi	30	Female	1234595289	37.00	14.87	78	122/70	84	183	Aparna K T
85	8:47 PM	Neha Gowda	39	Male	1234522504	37.00	15.02	68	130/71	81	150	Mahitha KM
86	11:15 PM	Fatima Chopra	46	Male	1234516612	37.00	15.42	66	120/75	84	152	Binu N
87	9:26 PM	Priya Patel	55	Female	1234513433	37.00	14.07	77	111/74	84	182	Dr. Sangeetha
88	7:46 PM	Siya Nair	54	Female	1234588273	37.00	15.75	70	128/77	71	179	Roshana Rameshan
89	10:10 PM	Sai Singh	41	Female	1234566989	37.00	13.01	71	129/73	87	166	Soumya S
90	7:19 PM	Neha Pillai	25	Male	1234590410	37.00	15.78	71	117/78	64	184	Soumya S
91	3:33 PM	Pari Rao	24	Female	1234529966	37.00	14.25	76	110/77	88	160	Binu N
92	9:58 PM	Aarav Mehta	27	Female	1234520314	37.00	15.22	66	114/77	65	154	Vidya A Divakaran
93	3:21 PM	Diya Gowda	22	Female	1234544328	37.00	14.27	86	125/78	85	153	Aparna K T
94	11:12 AM	Myra Chopra	42	Male	1234573385	37.00	14.35	86	110/75	81	176	Soumya S
95	1:47 PM	Anika Reddy	25	Male	1234537866	37.00	15.70	77	114/78	86	168	Aparna K T
96	9:37 AM	Vivaan Nair	48	Male	1234563524	37.00	15.36	68	128/71	82	156	Vidya A Divakaran
97	3:56 AM	Anika Khan	32	Male	1234511121	37.00	14.93	83	125/77	60	154	Dr. Sangeetha
98	1:59 PM	Arjun Pillai	49	Male	1234529224	37.00	14.17	65	117/80	58	169	Roshana Rameshan
99	9:14 PM	Sneha Patel	27	Male	1234519781	37.00	15.51	80	129/83	65	182	Dr. Sangeetha
100	9:28 PM	Neha Khan	24	Female	1234511579	37.00	12.74	84	120/84	65	150	Soumya S

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Complete Digital Transformation.

Regulatory Readiness Built-in by Design.

Regulatory Compliance

e-RaktKosh Integration

Audit Trail & Traceability

Custom Reports & Insights

Designed for Confidence

Compliance

Automation

Transparency

Digital Registers

Master Register

Complete Digital
Transformation.

Regulatory Readiness
Built-in by Design.