diff --git a/python/pyarrow/interchange/from_dataframe.py b/python/pyarrow/interchange/from_dataframe.py
index dba92a3aac42..11a5fd8b94e3 100644
--- a/python/pyarrow/interchange/from_dataframe.py
+++ b/python/pyarrow/interchange/from_dataframe.py
@@ -546,21 +546,15 @@ def validity_buffer_nan_sentinel(
                 "required which is forbidden by allow_copy=False"
             )
 
-        if kind == DtypeKind.FLOAT and bit_width == 16:
-            # 'pyarrow.compute.is_nan' kernel not yet implemented
-            # for float16
-            raise NotImplementedError(
-                f"{data_type} with {null_kind} is not yet supported.")
-        else:
-            pyarrow_data = pa.Array.from_buffers(
-                data_dtype,
-                length,
-                [None, data_pa_buffer],
-                offset=offset,
-            )
-            mask = pc.is_nan(pyarrow_data)
-            mask = pc.invert(mask)
-            return mask.buffers()[1]
+        pyarrow_data = pa.Array.from_buffers(
+            data_dtype,
+            length,
+            [None, data_pa_buffer],
+            offset=offset,
+        )
+        mask = pc.is_nan(pyarrow_data)
+        mask = pc.invert(mask)
+        return mask.buffers()[1]
 
     # Check for sentinel values
     elif null_kind == ColumnNullType.USE_SENTINEL:
diff --git a/python/pyarrow/tests/interchange/test_conversion.py b/python/pyarrow/tests/interchange/test_conversion.py
index cc105178ad87..2ad57dd192ba 100644
--- a/python/pyarrow/tests/interchange/test_conversion.py
+++ b/python/pyarrow/tests/interchange/test_conversion.py
@@ -319,14 +319,13 @@ def test_pandas_to_pyarrow_with_missing(np_float_str):
 
 @pytest.mark.pandas
 def test_pandas_to_pyarrow_float16_with_missing():
-    # np.float16 errors if ps.is_nan is used
-    # pyarrow.lib.ArrowNotImplementedError: Function 'is_nan' has no kernel
-    # matching input types (halffloat)
     np_array = np.array([0, np.nan, 2], dtype=np.float16)
     df = pd.DataFrame({"a": np_array})
 
-    with pytest.raises(NotImplementedError):
-        pi.from_dataframe(df)
+    expected = pa.table({"a": pa.array([0, None, 2], type=pa.float16())})
+    result = pi.from_dataframe(df)
+
+    assert result.equals(expected)
 
 
 @pytest.mark.numpy