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	9:37 PM	Mohammed Yadav	47	Male	1234521065	37.00	14.32	79	117/81	53	167	Aparna K T
2	8:34 PM	Rohan Malhotra	38	Female	1234597811	37.00	14.21	76	110/84	61	184	Swathy Sivadasan
3	7:42 AM	Aadhya Gupta	40	Male	1234575855	37.00	14.11	85	122/79	53	160	Mahitha KM
4	11:53 AM	Aarav Malhotra	23	Female	1234541540	37.00	13.85	82	117/84	54	185	Vidya A Divakaran
5	7:57 AM	Reyansh Mehta	29	Male	1234567678	37.00	14.12	72	129/85	85	169	Roshana Rameshan
6	2:54 PM	Riya Iyer	27	Male	1234567806	37.00	14.08	73	111/77	62	184	Aparna K T
7	12:22 AM	Ananya Patel	25	Female	1234560958	37.00	13.07	73	117/81	87	175	Roshana Rameshan
8	8:13 PM	Ishaan Mehta	51	Female	1234548821	37.00	15.50	70	113/82	51	153	Swathy Sivadasan
9	8:40 AM	Ayaan Malhotra	26	Female	1234590020	37.00	13.20	69	117/71	65	160	Binu N
10	10:44 PM	Saanvi Rao	21	Female	1234567192	37.00	15.26	84	124/73	71	155	Vidya A Divakaran
11	5:27 PM	Anika Yadav	27	Male	1234577888	37.00	14.71	75	127/79	80	168	Swathy Sivadasan
12	2:53 AM	Siya Kumar	26	Female	1234539736	37.00	15.84	73	124/71	65	185	Swathy Sivadasan
13	10:42 AM	Ananya Patel	35	Male	1234545515	37.00	15.63	71	130/78	72	157	Aparna K T
14	7:35 PM	Diya Chopra	22	Female	1234591757	37.00	15.27	60	118/73	65	155	Mahitha KM
15	1:33 PM	Rohan Malhotra	55	Female	1234590487	37.00	13.61	81	128/79	75	180	Swathy Sivadasan
16	5:34 AM	Aadhya Pillai	35	Female	1234535344	37.00	12.96	90	115/76	51	179	Aparna K T
17	5:48 PM	Rahul Khan	49	Male	1234514724	37.00	15.75	68	126/76	62	184	Aparna K T
18	4:57 AM	Ananya Malhotra	29	Female	1234544781	37.00	12.63	60	116/81	77	167	Aparna K T
19	1:45 AM	Vivaan Nair	42	Male	1234559746	37.00	13.62	87	117/78	90	165	Swathy Sivadasan
20	9:33 AM	Arjun Khan	22	Female	1234559214	37.00	13.26	65	125/79	56	156	Mahitha KM
21	9:20 PM	Yusuf Gowda	52	Female	1234559745	37.00	14.10	65	121/70	88	170	Soumya S
22	10:11 AM	Aarav Nair	47	Male	1234566246	37.00	15.41	68	128/84	92	185	Roshana Rameshan
23	10:19 PM	Krishna Malhotra	20	Female	1234556661	37.00	14.16	85	125/78	73	181	Binu N
24	8:36 AM	Krishna Mehta	51	Male	1234576178	37.00	15.92	64	129/85	85	185	Binu N
25	10:31 PM	Arjun Yadav	45	Female	1234527368	37.00	15.84	89	117/77	59	163	Soumya S
26	9:40 PM	Diya Das	18	Male	1234556979	37.00	12.79	80	125/78	73	161	Roshana Rameshan
27	5:22 PM	Priya Mehta	23	Female	1234543103	37.00	14.45	60	110/77	89	172	Mahitha KM
28	10:38 PM	Yusuf Kumar	25	Male	1234518325	37.00	13.97	74	130/79	89	160	Dr. Sangeetha
29	2:49 PM	Myra Rao	51	Male	1234568108	37.00	13.09	82	118/73	77	174	Dr. Sangeetha
30	10:25 PM	Neha Sharma	53	Male	1234599126	37.00	14.74	70	119/82	55	151	Soumya S
31	6:41 PM	Aditya Rao	53	Male	1234570720	37.00	15.66	90	123/77	53	181	Vidya A Divakaran
32	9:28 AM	Rohan Joshi	34	Male	1234513835	37.00	12.57	74	112/78	90	163	Vidya A Divakaran
33	12:13 PM	Ishaan Rao	54	Female	1234569599	37.00	14.62	78	113/83	59	174	Roshana Rameshan
34	5:39 AM	Fatima Iyer	20	Female	1234546166	37.00	15.89	88	119/81	70	151	Mahitha KM
35	9:15 AM	Riya Menon	29	Female	1234575672	37.00	12.52	86	127/70	92	185	Roshana Rameshan
36	1:29 PM	Saanvi Rao	28	Male	1234525177	37.00	15.86	77	122/72	51	175	Swathy Sivadasan
37	4:12 PM	Vikram Gupta	19	Male	1234580191	37.00	12.66	80	112/79	70	175	Vidya A Divakaran
38	2:14 PM	Fatima Iyer	38	Female	1234554511	37.00	15.50	67	117/79	83	155	Swathy Sivadasan
39	9:14 AM	Aarav Rao	18	Male	1234589443	37.00	14.97	67	120/73	70	185	Binu N
40	6:17 PM	Saanvi Mehta	42	Male	1234537540	37.00	15.92	88	125/75	52	173	Dr. Sangeetha
41	4:43 AM	Vihaan Joshi	52	Male	1234597909	37.00	15.83	71	110/84	87	166	Swathy Sivadasan
42	2:34 AM	Sneha Chopra	48	Female	1234542665	37.00	12.75	72	126/77	61	183	Soumya S
43	8:58 PM	Ishaan Khan	47	Male	1234549369	37.00	12.84	71	124/72	74	156	Binu N
44	10:57 AM	Arjun Gowda	27	Male	1234524559	37.00	15.15	82	128/80	51	161	Roshana Rameshan
45	3:11 PM	Zain Iyer	19	Male	1234560091	37.00	13.11	79	110/78	80	166	Roshana Rameshan
46	4:23 PM	Reyansh Menon	52	Female	1234578919	37.00	15.30	60	124/80	95	180	Vidya A Divakaran
47	11:19 AM	Yusuf Rao	35	Male	1234578733	37.00	12.61	75	113/75	72	178	Swathy Sivadasan
48	4:33 PM	Sneha Gupta	21	Female	1234561574	37.00	13.63	64	117/71	89	160	Aparna K T
49	6:27 AM	Diya Singh	27	Female	1234583178	37.00	15.93	84	125/73	75	164	Roshana Rameshan
50	9:38 AM	Vihaan Singh	36	Female	1234511038	37.00	15.56	86	118/80	58	178	Aparna K T
51	9:19 PM	Sneha Iyer	48	Female	1234512402	37.00	13.28	60	128/70	64	177	Swathy Sivadasan
52	12:43 AM	Myra Sharma	26	Female	1234577218	37.00	12.90	78	118/82	55	180	Dr. Sangeetha
53	12:47 AM	Kavita Yadav	22	Female	1234586206	37.00	12.52	76	117/79	66	184	Soumya S
54	1:48 AM	Ananya Khan	33	Male	1234592276	37.00	14.36	66	122/84	62	155	Vidya A Divakaran
55	6:49 PM	Siya Chopra	41	Female	1234565020	37.00	13.94	84	126/79	80	182	Swathy Sivadasan
56	9:24 PM	Ananya Menon	27	Male	1234575181	37.00	14.01	77	127/81	87	173	Soumya S
57	10:49 PM	Ananya Iyer	55	Female	1234549480	37.00	12.94	85	113/71	74	156	Binu N
58	6:39 PM	Arjun Reddy	44	Female	1234520894	37.00	13.10	71	129/74	76	176	Aparna K T
59	5:30 AM	Mohammed Malhotra	55	Female	1234514503	37.00	15.61	87	115/78	55	181	Roshana Rameshan
60	4:45 PM	Priya Patel	35	Male	1234574031	37.00	12.87	76	129/85	52	158	Mahitha KM
61	2:44 PM	Sai Khan	25	Male	1234598868	37.00	12.58	74	111/85	72	168	Vidya A Divakaran
62	7:38 AM	Arjun Mehta	43	Female	1234593748	37.00	14.87	62	110/71	82	162	Binu N
63	10:48 AM	Mohammed Verma	24	Male	1234556746	37.00	13.34	84	129/75	85	162	Dr. Sangeetha
64	11:53 AM	Saanvi Malhotra	20	Female	1234570110	37.00	12.92	88	123/85	55	160	Binu N
65	2:54 AM	Zain Menon	47	Male	1234581113	37.00	14.82	70	116/71	50	173	Vidya A Divakaran
66	5:31 PM	Sai Patel	45	Male	1234514478	37.00	14.70	64	123/83	63	160	Swathy Sivadasan
67	1:59 AM	Saanvi Verma	25	Male	1234598565	37.00	12.93	70	129/74	57	172	Mahitha KM
68	9:42 PM	Siya Das	34	Male	1234531278	37.00	14.94	72	124/81	60	160	Mahitha KM
69	1:36 AM	Siya Khan	40	Male	1234519234	37.00	12.99	72	120/79	60	150	Mahitha KM
70	1:43 PM	Fatima Rao	42	Male	1234530456	37.00	13.42	77	111/71	89	162	Vidya A Divakaran
71	3:19 PM	Arjun Gowda	30	Female	1234512830	37.00	14.38	85	129/85	52	178	Vidya A Divakaran
72	12:49 AM	Ananya Verma	55	Male	1234562441	37.00	15.51	87	113/80	90	165	Aparna K T
73	8:41 AM	Yusuf Singh	31	Female	1234515526	37.00	13.88	61	117/80	55	177	Roshana Rameshan
74	8:37 AM	Reyansh Reddy	27	Female	1234588527	37.00	13.48	70	111/81	90	163	Swathy Sivadasan
75	6:21 PM	Kavita Gowda	20	Male	1234523788	37.00	13.57	66	113/72	86	165	Aparna K T
76	4:59 AM	Aditya Chopra	36	Male	1234586773	37.00	13.61	66	121/78	67	178	Aparna K T
77	6:17 AM	Vikram Nair	19	Female	1234597568	37.00	12.95	76	122/79	51	152	Roshana Rameshan
78	11:29 PM	Mohammed Chopra	46	Male	1234556822	37.00	15.62	66	130/70	76	155	Binu N
79	10:13 AM	Reyansh Chopra	54	Male	1234557472	37.00	13.72	75	117/76	73	162	Vidya A Divakaran
80	8:41 AM	Ishaan Sharma	41	Female	1234524471	37.00	14.21	63	120/80	95	150	Dr. Sangeetha
81	2:36 AM	Pari Chopra	54	Male	1234598478	37.00	13.16	62	112/71	88	176	Swathy Sivadasan
82	9:31 PM	Siya Malhotra	47	Male	1234542439	37.00	15.90	88	122/78	54	158	Swathy Sivadasan
83	9:18 PM	Ayaan Gupta	22	Male	1234593562	37.00	12.65	64	122/78	87	155	Aparna K T
84	5:21 AM	Ishaan Yadav	23	Female	1234545686	37.00	13.92	85	111/83	61	179	Vidya A Divakaran
85	9:13 AM	Aarav Kumar	41	Female	1234550001	37.00	13.57	67	130/81	84	156	Binu N
86	3:42 AM	Diya Reddy	26	Female	1234512210	37.00	13.55	70	130/70	72	161	Vidya A Divakaran
87	9:27 AM	Pari Patel	39	Male	1234591226	37.00	13.36	63	122/74	74	158	Binu N
88	2:53 AM	Ayaan Khan	43	Male	1234556027	37.00	14.47	82	129/71	77	151	Binu N
89	5:22 PM	Aditya Patel	43	Female	1234513021	37.00	14.81	67	115/81	81	161	Aparna K T
90	8:51 AM	Saanvi Gowda	30	Female	1234547188	37.00	13.74	60	116/77	51	176	Mahitha KM
91	3:22 AM	Arjun Sharma	41	Male	1234544906	37.00	14.00	83	119/84	82	161	Binu N
92	4:27 AM	Krishna Gupta	48	Male	1234555023	37.00	14.04	88	125/81	72	151	Vidya A Divakaran
93	12:46 AM	Ayaan Menon	24	Female	1234532058	37.00	14.75	73	127/78	72	163	Dr. Sangeetha
94	1:29 PM	Yusuf Rao	48	Female	1234581999	37.00	12.74	88	112/71	88	165	Roshana Rameshan
95	1:15 AM	Sai Verma	23	Male	1234562664	37.00	15.83	62	126/81	73	171	Aparna K T
96	3:16 AM	Aditya Verma	50	Male	1234542380	37.00	13.52	77	123/84	79	183	Roshana Rameshan
97	1:16 PM	Neha Mehta	38	Male	1234583888	37.00	15.40	65	111/81	78	179	Swathy Sivadasan
98	5:16 AM	Fatima Kumar	53	Male	1234531748	37.00	14.96	89	117/81	59	173	Soumya S
99	6:40 PM	Aarav Gowda	37	Male	1234566593	37.00	12.72	87	121/75	82	175	Vidya A Divakaran
100	4:14 AM	Amit Nair	49	Male	1234557318	37.00	14.36	80	110/85	94	158	Aparna K T

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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.